Deployed 9003d5e to develop in en with MkDocs 1.6.1 and mike 2.2.0

.coveragerc

@@ -1,6 +0,0 @@
-[run]
-omit =
-    scripts/*
-    freqtrade/tests/*
-    freqtrade/vendor/*
-    freqtrade/__main__.py

.dockerignore

@@ -1,15 +0,0 @@
-.git
-.gitignore
-Dockerfile
-.dockerignore
-config.json*
-*.sqlite
-.coveragerc
-.eggs
-.github
-.pylintrc
-.travis.yml
-CONTRIBUTING.md
-MANIFEST.in
-README.md
-freqtrade.service

.github/ISSUE_TEMPLATE.md

@@ -1,32 +0,0 @@
-## Step 1: Have you search for this issue before posting it?
-
-If you have discovered a bug in the bot, please [search our issue tracker](https://github.com/freqtrade/freqtrade/issues?q=is%3Aissue). 
-If it hasn't been reported, please create a new issue.
-
-## Step 2: Describe your environment
-
-  * Python Version: _____ (`python -V`)
-  * CCXT version: _____ (`pip freeze | grep ccxt`)
-  * Branch: Master | Develop
-  * Last Commit ID: _____ (`git log --format="%H" -n 1`)
-  
-## Step 3: Describe the problem:
-
-*Explain the problem you have encountered*
-
-### Steps to reproduce:
-
-  1. _____
-  2. _____
-  3. _____
-  
-### Observed Results:
-
-  * What happened?
-  * What did you expect to happen?
-
-### Relevant code exceptions or logs:
-
-  ```
-  // paste your log here
-  ```

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,15 +0,0 @@
-Thank you for sending your pull request. But first, have you included
-unit tests, and is your code PEP8 conformant? [More details](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
-
-## Summary
-Explain in one sentence the goal of this PR
-
-Solve the issue: #___
-
-## Quick changelog
-
-- <change log #1>
-- <change log #2>
-
-## What's new?
-*Explain in details what this PR solve or improve. You can include visuals.* 

.gitignore

@@ -1,94 +0,0 @@
-# Freqtrade rules
-freqtrade/tests/testdata/*.json
-hyperopt_conf.py
-config*.json
-*.sqlite
-.hyperopt
-logfile.txt
-hyperopt_trials.pickle
-user_data/
-freqtrade-plot.html
-freqtrade-profit-plot.html
-
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-env/
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-.hypothesis/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# pyenv
-.python-version
-
-.env
-.venv
-.idea
-.vscode
-
-.pytest_cache/
-.mypy_cache/

.pylintrc

@@ -1,10 +0,0 @@
-[MASTER]
-extension-pkg-whitelist=numpy,talib,talib.abstract
-
-[BASIC]
-good-names=logger
-ignore=vendor
-
-[TYPECHECK]
-ignored-modules=numpy,talib,talib.abstract
-

.pyup.yml

@@ -1,33 +0,0 @@
-# autogenerated pyup.io config file
-# see https://pyup.io/docs/configuration/ for all available options
-
-# configure updates globally
-# default: all
-# allowed: all, insecure, False
-update: all
-
-# configure dependency pinning globally
-# default: True
-# allowed: True, False
-pin: True
-
-schedule: "every day"
-
-
-search: False
-# Specify requirement files by hand, default is empty
-# default: empty
-# allowed: list
-requirements:
-  - requirements.txt
-  - requirements-dev.txt
-  - requirements-plot.txt
-
-
-# configure the branch prefix the bot is using
-# default: pyup-
-branch_prefix: pyup/
-
-# allow to close stale PRs
-# default: True
-close_prs: True

.readthedocs.yml

@@ -1,8 +0,0 @@
-# .readthedocs.yml
-
-build:
-  image: latest
-
-python:
-  version: 3.6
-  setup_py_install: false

.travis.yml

@@ -1,59 +0,0 @@
-sudo: true
-os:
-- linux
-dist: xenial
-language: python
-python:
-- 3.6
-services:
-  - docker
-env:
-  global:
-    - IMAGE_NAME=freqtradeorg/freqtrade
-addons:
-  apt:
-    packages:
-    - libelf-dev
-    - libdw-dev
-    - binutils-dev
-install:
-- cd build_helpers && ./install_ta-lib.sh; cd ..
-- export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
-- pip install --upgrade pytest-random-order
-- pip install -r requirements-dev.txt
-- pip install -e .
-jobs:
-  include:
-    - stage: tests
-      script:
-      - pytest --cov=freqtrade --cov-config=.coveragerc freqtrade/tests/
-      name: pytest
-    - script:
-      - cp config.json.example config.json
-      - python freqtrade/main.py --datadir freqtrade/tests/testdata backtesting
-      name: backtest
-    - script:
-      - cp config.json.example config.json
-      - python freqtrade/main.py --datadir freqtrade/tests/testdata hyperopt -e 5
-      name: hyperopt
-    - script: flake8 freqtrade
-      name: flake8
-    - script: mypy freqtrade
-      name: mypy
-
-    - stage: docker
-      if: branch in (master, develop, feat/improve_travis) AND (type in (push, cron))
-      script:
-        - build_helpers/publish_docker.sh
-      name: "Build and test and push docker image"
-
-after_success:
-  - coveralls
-
-notifications:
-  slack:
-    secure: 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
-cache:
-  pip: True
-  directories:
-    - /usr/local/lib

404.html

@@ -0,0 +1,27 @@
+<script>
+    // Check if the current path is versioned, if not, redirect to the default versioned path
+    const versions = ["stable"]
+    const defaultVersion = "stable"
+    const basePath = "en/"
+    const targetRedirectPath = "404" // path to redirect to, relative to basePath
+
+    // if path starts with version, redirect to versioned 404
+    let foundVersion = false
+    versions.forEach(version => {
+        const versionedPath = `${basePath}/${version}`;
+        if (window.location.pathname.startsWith(versionedPath)) {
+             // we need this foundVersion guard because the browser is fast and
+             // will keep the executing code below until the redirect happens
+            foundVersion = true;
+            window.location.href = `${versionedPath}/${targetRedirectPath}`
+        }
+    });
+
+    // if path doesn't start with any version, redirect to defaultVersion
+    // Replace it in href, so we keep hashes and query params
+    // Only replace first occurence of basePath
+    if (!foundVersion){
+        //window.location.href = window.location.href.replace(basePath, `${basePath}/${defaultVersion}`)
+        window.location.href = `https://${window.location.hostname}/${basePath}/${defaultVersion}`
+    }
+</script>

CNAME

@@ -0,0 +1 @@
+www.freqtrade.io

CONTRIBUTING.md

@@ -1,119 +0,0 @@
-# Contributing
-
-## Contribute to freqtrade
-
-Feel like our bot is missing a feature? We welcome your pull requests! 
-
-Issues labeled [good first issue](https://github.com/freqtrade/freqtrade/labels/good%20first%20issue) can be good first contributions, and will help get you familiar with the codebase.
-
-Few pointers for contributions:
-
-- Create your PR against the `develop` branch, not `master`.
-- New features need to contain unit tests and must be PEP8 conformant (max-line-length = 100).
-
-If you are unsure, discuss the feature on our [Slack](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE)
-or in a [issue](https://github.com/freqtrade/freqtrade/issues) before a PR.
-
-## Getting started
-
-Best start by reading the [documentation](https://www.freqtrade.io/) to get a feel for what is possible with the bot, or head straight to the [Developer-documentation](https://www.freqtrade.io/en/latest/developer/) (WIP) which should help you getting started.
-
-## Before sending the PR:
-
-### 1. Run unit tests
-
-All unit tests must pass. If a unit test is broken, change your code to 
-make it pass. It means you have introduced a regression.
-
-#### Test the whole project
-
-```bash
-pytest freqtrade
-```
-
-#### Test only one file
-
-```bash
-pytest freqtrade/tests/test_<file_name>.py
-```
-
-#### Test only one method from one file
-
-```bash
-pytest freqtrade/tests/test_<file_name>.py::test_<method_name>
-```
-
-### 2. Test if your code is PEP8 compliant
-
-#### Run Flake8
-
-```bash
-flake8 freqtrade
-```
-
-We receive a lot of code that fails the `flake8` checks.
-To help with that, we encourage you to install the git pre-commit 
-hook that will warn you when you try to commit code that fails these checks. 
-Guide for installing them is [here](http://flake8.pycqa.org/en/latest/user/using-hooks.html).
-
-### 3. Test if all type-hints are correct
-
-#### Run mypy
-
-``` bash
-mypy freqtrade
-```
-
-## (Core)-Committer Guide
-
-### Process: Pull Requests
-
-How to prioritize pull requests, from most to least important:
-
-1. Fixes for broken tests. Broken means broken on any supported platform or Python version.
-1. Extra tests to cover corner cases.
-1. Minor edits to docs.
-1. Bug fixes.
-1. Major edits to docs.
-1. Features.
-
-Ensure that each pull request meets all requirements in the Contributing document.
-
-### Process: Issues
-
-If an issue is a bug that needs an urgent fix, mark it for the next patch release.
-Then either fix it or mark as please-help.
-
-For other issues: encourage friendly discussion, moderate debate, offer your thoughts.
-
-### Process: Your own code changes
-
-All code changes, regardless of who does them, need to be reviewed and merged by someone else.
-This rule applies to all the core committers.
-
-Exceptions:
-
-- Minor corrections and fixes to pull requests submitted by others.
-- While making a formal release, the release manager can make necessary, appropriate changes.
-- Small documentation changes that reinforce existing subject matter. Most commonly being, but not limited to spelling and grammar corrections.
-
-### Responsibilities
-
-- Ensure cross-platform compatibility for every change that's accepted. Windows, Mac & Linux.
-- Ensure no malicious code is introduced into the core code.
-- Create issues for any major changes and enhancements that you wish to make. Discuss things transparently and get community feedback.
-- Keep feature versions as small as possible, preferably one new feature per version.
-- Be welcoming to newcomers and encourage diverse new contributors from all backgrounds. See the Python Community Code of Conduct (https://www.python.org/psf/codeofconduct/).
-
-### Becoming a Committer
-
-Contributors may be given commit privileges. Preference will be given to those with:
-
-1. Past contributions to FreqTrade and other related open-source projects. Contributions to FreqTrade include both code (both accepted and pending) and friendly participation in the issue tracker and Pull request reviews. Quantity and quality are considered.
-1. A coding style that the other core committers find simple, minimal, and clean.
-1. Access to resources for cross-platform development and testing.
-1. Time to devote to the project regularly.
-
-Beeing a Committer does not grant write permission on `develop` or `master` for security reasons (Users trust FreqTrade with their Exchange API keys).
-
-After beeing Committer for some time, a Committer may be named Core Committer and given full repository access.

Dockerfile

@@ -1,26 +0,0 @@
-FROM python:3.7.2-slim-stretch
-
-RUN apt-get update \
-    && apt-get -y install curl build-essential \
-    && apt-get clean \
-    && pip install --upgrade pip
-
-# Prepare environment
-RUN mkdir /freqtrade
-WORKDIR /freqtrade
-
-# Install TA-lib
-COPY build_helpers/* /tmp/
-RUN cd /tmp && /tmp/install_ta-lib.sh && rm -r /tmp/*ta-lib*
-
-ENV LD_LIBRARY_PATH /usr/local/lib
-
-# Install dependencies
-COPY requirements.txt /freqtrade/
-RUN pip install numpy --no-cache-dir \
-  && pip install -r requirements.txt --no-cache-dir
-
-# Install and execute
-COPY . /freqtrade/
-RUN pip install -e . --no-cache-dir
-ENTRYPOINT ["freqtrade"]

Dockerfile.develop

@@ -1,9 +0,0 @@
-FROM freqtradeorg/freqtrade:develop
-
-# Install dependencies
-COPY requirements-dev.txt /freqtrade/
-RUN pip install numpy --no-cache-dir \
-  && pip install -r requirements-dev.txt --no-cache-dir
-
-# Empty the ENTRYPOINT to allow all commands
-ENTRYPOINT []

Dockerfile.technical

@@ -1,6 +0,0 @@
-FROM freqtradeorg/freqtrade:develop
-
-RUN apt-get update \
-    && apt-get -y install git \
-    && apt-get clean \
-    && pip install git+https://github.com/berlinguyinca/technical

LICENSE

@@ -1,674 +0,0 @@
-                    GNU GENERAL PUBLIC LICENSE
-                       Version 3, 29 June 2007
-
- Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
- Everyone is permitted to copy and distribute verbatim copies
- of this license document, but changing it is not allowed.
-
-                            Preamble
-
-  The GNU General Public License is a free, copyleft license for
-software and other kinds of works.
-
-  The licenses for most software and other practical works are designed
-to take away your freedom to share and change the works.  By contrast,
-the GNU General Public License is intended to guarantee your freedom to
-share and change all versions of a program--to make sure it remains free
-software for all its users.  We, the Free Software Foundation, use the
-GNU General Public License for most of our software; it applies also to
-any other work released this way by its authors.  You can apply it to
-your programs, too.
-
-  When we speak of free software, we are referring to freedom, not
-price.  Our General Public Licenses are designed to make sure that you
-have the freedom to distribute copies of free software (and charge for
-them if you wish), that you receive source code or can get it if you
-want it, that you can change the software or use pieces of it in new
-free programs, and that you know you can do these things.
-
-  To protect your rights, we need to prevent others from denying you
-these rights or asking you to surrender the rights.  Therefore, you have
-certain responsibilities if you distribute copies of the software, or if
-you modify it: responsibilities to respect the freedom of others.
-
-  For example, if you distribute copies of such a program, whether
-gratis or for a fee, you must pass on to the recipients the same
-freedoms that you received.  You must make sure that they, too, receive
-or can get the source code.  And you must show them these terms so they
-know their rights.
-
-  Developers that use the GNU GPL protect your rights with two steps:
-(1) assert copyright on the software, and (2) offer you this License
-giving you legal permission to copy, distribute and/or modify it.
-
-  For the developers' and authors' protection, the GPL clearly explains
-that there is no warranty for this free software.  For both users' and
-authors' sake, the GPL requires that modified versions be marked as
-changed, so that their problems will not be attributed erroneously to
-authors of previous versions.
-
-  Some devices are designed to deny users access to install or run
-modified versions of the software inside them, although the manufacturer
-can do so.  This is fundamentally incompatible with the aim of
-protecting users' freedom to change the software.  The systematic
-pattern of such abuse occurs in the area of products for individuals to
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-products.  If such problems arise substantially in other domains, we
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-of the GPL, as needed to protect the freedom of users.
-
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-States should not allow patents to restrict development and use of
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-patents cannot be used to render the program non-free.
-
-  The precise terms and conditions for copying, distribution and
-modification follow.
-
-                       TERMS AND CONDITIONS
-
-  0. Definitions.
-
-  "This License" refers to version 3 of the GNU General Public License.
-
-  "Copyright" also means copyright-like laws that apply to other kinds of
-works, such as semiconductor masks.
-
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MANIFEST.in

@@ -1,5 +0,0 @@
-include LICENSE
-include README.md
-include config.json.example
-recursive-include freqtrade *.py
-include freqtrade/tests/testdata/*.json

README.md

@@ -1,198 +0,0 @@
-# Freqtrade
-
-[![Build Status](https://travis-ci.org/freqtrade/freqtrade.svg?branch=develop)](https://travis-ci.org/freqtrade/freqtrade)
-[![Coverage Status](https://coveralls.io/repos/github/freqtrade/freqtrade/badge.svg?branch=develop&service=github)](https://coveralls.io/github/freqtrade/freqtrade?branch=develop)
-[![Documentation](https://readthedocs.org/projects/freqtrade/badge/)](https://www.freqtrade.io)
-[![Maintainability](https://api.codeclimate.com/v1/badges/5737e6d668200b7518ff/maintainability)](https://codeclimate.com/github/freqtrade/freqtrade/maintainability)
-
-Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
-
-![freqtrade](https://raw.githubusercontent.com/freqtrade/freqtrade/develop/docs/assets/freqtrade-screenshot.png)
-
-## Disclaimer
-
-This software is for educational purposes only. Do not risk money which
-you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS
-AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.
-
-Always start by running a trading bot in Dry-run and do not engage money
-before you understand how it works and what profit/loss you should
-expect.
-
-We strongly recommend you to have coding and Python knowledge. Do not
-hesitate to read the source code and understand the mechanism of this bot.
-
-## Exchange marketplaces supported
-
-- [X] [Bittrex](https://bittrex.com/)
-- [X] [Binance](https://www.binance.com/) ([*Note for binance users](#a-note-on-binance))
-- [ ] [113 others to tests](https://github.com/ccxt/ccxt/). _(We cannot guarantee they will work)_
-
-## Documentation
-
-We invite you to read the bot documentation to ensure you understand how the bot is working.
-
-Please find the complete documentation on our [website](https://www.freqtrade.io).
-
-## Features
-
-- [x] **Based on Python 3.6+**: For botting on any operating system - Windows, macOS and Linux.
-- [x] **Persistence**: Persistence is achieved through sqlite.
-- [x] **Dry-run**: Run the bot without playing money.
-- [x] **Backtesting**: Run a simulation of your buy/sell strategy.
-- [x] **Strategy Optimization by machine learning**: Use machine learning to optimize your buy/sell strategy parameters with real exchange data.
-- [x] **Edge position sizing** Calculate your win rate, risk reward ratio, the best stoploss and adjust your position size before taking a position for each specific market. [Learn more](https://www.freqtrade.io/en/latest/edge/).
-- [x] **Whitelist crypto-currencies**: Select which crypto-currency you want to trade or use dynamic whitelists.
-- [x] **Blacklist crypto-currencies**: Select which crypto-currency you want to avoid.
-- [x] **Manageable via Telegram**: Manage the bot with Telegram.
-- [x] **Display profit/loss in fiat**: Display your profit/loss in 33 fiat.
-- [x] **Daily summary of profit/loss**: Provide a daily summary of your profit/loss.
-- [x] **Performance status report**: Provide a performance status of your current trades.
-
-## Quick start
-
-Freqtrade provides a Linux/macOS script to install all dependencies and help you to configure the bot.
-
-```bash
-git clone git@github.com:freqtrade/freqtrade.git
-cd freqtrade
-git checkout develop
-./setup.sh --install
-```
-
-For any other type of installation please refer to [Installation doc](https://www.freqtrade.io/en/latest/installation/).
-
-
-## Basic Usage
-
-### Bot commands
-
-```
-usage: main.py [-h] [-v] [--version] [-c PATH] [-d PATH] [-s NAME]
-               [--strategy-path PATH] [--customhyperopt NAME]
-               [--dynamic-whitelist [INT]] [--db-url PATH]
-               {backtesting,edge,hyperopt} ...
-
-Free, open source crypto trading bot
-
-positional arguments:
-  {backtesting,edge,hyperopt}
-    backtesting         backtesting module
-    edge                edge module
-    hyperopt            hyperopt module
-
-optional arguments:
-  -h, --help            show this help message and exit
-  -v, --verbose         verbose mode (-vv for more, -vvv to get all messages)
-  --version             show program\'s version number and exit
-  -c PATH, --config PATH
-                        specify configuration file (default: config.json)
-  -d PATH, --datadir PATH
-                        path to backtest data
-  -s NAME, --strategy NAME
-                        specify strategy class name (default: DefaultStrategy)
-  --strategy-path PATH  specify additional strategy lookup path
-  --customhyperopt NAME
-                        specify hyperopt class name (default:
-                        DefaultHyperOpts)
-  --dynamic-whitelist [INT]
-                        dynamically generate and update whitelist based on 24h
-                        BaseVolume (default: 20) DEPRECATED.
-  --db-url PATH         Override trades database URL, this is useful if
-                        dry_run is enabled or in custom deployments (default:
-                        None)
-```
-
-### Telegram RPC commands
-
-Telegram is not mandatory. However, this is a great way to control your bot. More details on our [documentation](https://www.freqtrade.io/en/latest/telegram-usage/)
-
-- `/start`: Starts the trader
-- `/stop`: Stops the trader
-- `/status [table]`: Lists all open trades
-- `/count`: Displays number of open trades
-- `/profit`: Lists cumulative profit from all finished trades
-- `/forcesell <trade_id>|all`: Instantly sells the given trade (Ignoring `minimum_roi`).
-- `/performance`: Show performance of each finished trade grouped by pair
-- `/balance`: Show account balance per currency
-- `/daily <n>`: Shows profit or loss per day, over the last n days
-- `/help`: Show help message
-- `/version`: Show version
-
-
-## Development branches
-
-The project is currently setup in two main branches:
-
-- `develop` - This branch has often new features, but might also cause breaking changes.
-- `master` - This branch contains the latest stable release. The bot 'should' be stable on this branch, and is generally well tested.
-- `feat/*` - These are feature branches, which are being worked on heavily. Please don't use these unless you want to test a specific feature.
-
-
-## A note on Binance
-
-For Binance, please add `"BNB/<STAKE>"` to your blacklist to avoid issues.
-Accounts having BNB accounts use this to pay for fees - if your first trade happens to be on `BNB`, further trades will consume this position and make the initial BNB order unsellable as the expected amount is not there anymore.
-
-## Support
-
-### Help / Slack
-
-For any questions not covered by the documentation or for further
-information about the bot, we encourage you to join our slack channel.
-
-- [Click here to join Slack channel](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE).
-
-### [Bugs / Issues](https://github.com/freqtrade/freqtrade/issues?q=is%3Aissue)
-
-If you discover a bug in the bot, please
-[search our issue tracker](https://github.com/freqtrade/freqtrade/issues?q=is%3Aissue)
-first. If it hasn't been reported, please
-[create a new issue](https://github.com/freqtrade/freqtrade/issues/new) and
-ensure you follow the template guide so that our team can assist you as
-quickly as possible.
-
-### [Feature Requests](https://github.com/freqtrade/freqtrade/labels/enhancement)
-
-Have you a great idea to improve the bot you want to share? Please,
-first search if this feature was not [already discussed](https://github.com/freqtrade/freqtrade/labels/enhancement).
-If it hasn't been requested, please
-[create a new request](https://github.com/freqtrade/freqtrade/issues/new)
-and ensure you follow the template guide so that it does not get lost
-in the bug reports.
-
-### [Pull Requests](https://github.com/freqtrade/freqtrade/pulls)
-
-Feel like our bot is missing a feature? We welcome your pull requests!
-
-Please read our
-[Contributing document](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
-to understand the requirements before sending your pull-requests.
-
-Coding is not a neccessity to contribute - maybe start with improving our documentation?
-Issues labeled [good first issue](https://github.com/freqtrade/freqtrade/labels/good%20first%20issue) can be good first contributions, and will help get you familiar with the codebase.
-
-**Note** before starting any major new feature work, *please open an issue describing what you are planning to do* or talk to us on [Slack](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE). This will ensure that interested parties can give valuable feedback on the feature, and let others know that you are working on it.
-
-**Important:** Always create your PR against the `develop` branch, not `master`.
-
-## Requirements
-
-### Uptodate clock
-
-The clock must be accurate, syncronized to a NTP server very frequently to avoid problems with communication to the exchanges.
-
-### Min hardware required
-
-To run this bot we recommend you a cloud instance with a minimum of:
-
-- Minimal (advised) system requirements: 2GB RAM, 1GB disk space, 2vCPU
-
-### Software requirements
-
-- [Python 3.6.x](http://docs.python-guide.org/en/latest/starting/installation/)
-- [pip](https://pip.pypa.io/en/stable/installing/)
-- [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
-- [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html)
-- [virtualenv](https://virtualenv.pypa.io/en/stable/installation/) (Recommended)
-- [Docker](https://www.docker.com/products/docker) (Recommended)

bin/freqtrade

@@ -1,7 +0,0 @@
-#!/usr/bin/env python3
-
-import sys
-
-from freqtrade.main import main, set_loggers
-set_loggers()
-main(sys.argv[1:])

build_helpers/install_ta-lib.sh

@@ -1,11 +0,0 @@
-if [ ! -f "/usr/local/lib/libta_lib.a" ]; then
-  tar zxvf ta-lib-0.4.0-src.tar.gz
-  cd ta-lib \
-  && sed -i.bak "s|0.00000001|0.000000000000000001 |g" src/ta_func/ta_utility.h \
-  && ./configure \
-  && make \
-  && which sudo && sudo make install || make install \
-  && cd ..
-else
-  echo "TA-lib already installed, skipping installation"
-fi

build_helpers/publish_docker.sh

@@ -1,60 +0,0 @@
-#!/bin/sh
-# - export TAG=`if [ "$TRAVIS_BRANCH" == "develop" ]; then echo "latest"; else echo $TRAVIS_BRANCH ; fi`
-# Replace / with _ to create a valid tag
-TAG=$(echo "${TRAVIS_BRANCH}" | sed -e "s/\//_/")
-
-
-# Add commit and commit_message to docker container
-echo "${TRAVIS_COMMIT} ${TRAVIS_COMMIT_MESSAGE}" > freqtrade_commit
-
-if [ "${TRAVIS_EVENT_TYPE}" = "cron" ]; then
-    echo "event ${TRAVIS_EVENT_TYPE}: full rebuild - skipping cache"
-    docker build -t freqtrade:${TAG} .
-else
-    echo "event ${TRAVIS_EVENT_TYPE}: building with cache"
-    # Pull last build to avoid rebuilding the whole image
-    docker pull ${IMAGE_NAME}:${TAG}
-    docker build --cache-from ${IMAGE_NAME}:${TAG} -t freqtrade:${TAG} .
-fi
-
-if [ $? -ne 0 ]; then
-    echo "failed building image"
-    return 1
-fi
-
-# Run backtest
-docker run --rm -it -v $(pwd)/config.json.example:/freqtrade/config.json:ro freqtrade:${TAG} --datadir freqtrade/tests/testdata backtesting
-
-if [ $? -ne 0 ]; then
-    echo "failed running backtest"
-    return 1
-fi
-
-# Tag image for upload
-docker tag freqtrade:$TAG ${IMAGE_NAME}:$TAG
-if [ $? -ne 0 ]; then
-    echo "failed tagging image"
-    return 1
-fi
-
-# Tag as latest for develop builds
-if [ "${TRAVIS_BRANCH}" = "develop" ]; then
-    docker tag freqtrade:$TAG ${IMAGE_NAME}:latest
-fi
-
-# Login
-echo "$DOCKER_PASS" | docker login -u $DOCKER_USER --password-stdin
-
-if [ $? -ne 0 ]; then
-    echo "failed login"
-    return 1
-fi
-
-# Show all available images
-docker images
-
-docker push ${IMAGE_NAME}
-if [ $? -ne 0 ]; then
-    echo "failed pushing repo"
-    return 1
-fi

config.json.example

@@ -1,81 +0,0 @@
-{
-    "max_open_trades": 3,
-    "stake_currency": "BTC",
-    "stake_amount": 0.05,
-    "fiat_display_currency": "USD",
-    "ticker_interval" : "5m",
-    "dry_run": false,
-    "trailing_stop": false,
-    "unfilledtimeout": {
-        "buy": 10,
-        "sell": 30
-    },
-    "bid_strategy": {
-        "ask_last_balance": 0.0,
-        "use_order_book": false,
-        "order_book_top": 1,
-        "check_depth_of_market": {
-            "enabled": false,
-            "bids_to_ask_delta": 1
-        }
-    },
-    "ask_strategy":{
-        "use_order_book": false,
-        "order_book_min": 1,
-        "order_book_max": 9
-    },
-    "exchange": {
-        "name": "bittrex",
-        "key": "your_exchange_key",
-        "secret": "your_exchange_secret",
-        "ccxt_config": {"enableRateLimit": true},
-        "ccxt_async_config": {
-            "enableRateLimit": false
-        },
-        "pair_whitelist": [
-            "ETH/BTC",
-            "LTC/BTC",
-            "ETC/BTC",
-            "DASH/BTC",
-            "ZEC/BTC",
-            "XLM/BTC",
-            "NXT/BTC",
-            "POWR/BTC",
-            "ADA/BTC",
-            "XMR/BTC"
-        ],
-        "pair_blacklist": [
-            "DOGE/BTC"
-        ]
-    },
-    "experimental": {
-        "use_sell_signal": false,
-        "sell_profit_only": false,
-        "ignore_roi_if_buy_signal": false
-    },
-    "edge": {
-        "enabled": false,
-        "process_throttle_secs": 3600,
-        "calculate_since_number_of_days": 7,
-        "capital_available_percentage": 0.5,
-        "allowed_risk": 0.01,
-        "stoploss_range_min": -0.01,
-        "stoploss_range_max": -0.1,
-        "stoploss_range_step": -0.01,
-        "minimum_winrate": 0.60,
-        "minimum_expectancy": 0.20,
-        "min_trade_number": 10,
-        "max_trade_duration_minute": 1440,
-        "remove_pumps": false
-    },
-    "telegram": {
-        "enabled": true,
-        "token": "your_telegram_token",
-        "chat_id": "your_telegram_chat_id"
-    },
-    "initial_state": "running",
-    "forcebuy_enable": false,
-    "internals": {
-        "process_throttle_secs": 5
-    }
-}

config_binance.json.example

@@ -1,83 +0,0 @@
-{
-    "max_open_trades": 3,
-    "stake_currency": "BTC",
-    "stake_amount": 0.05,
-    "fiat_display_currency": "USD",
-    "ticker_interval" : "5m",
-    "dry_run": true,
-    "trailing_stop": false,
-    "unfilledtimeout": {
-        "buy": 10,
-        "sell": 30
-    },
-    "bid_strategy": {
-        "ask_last_balance": 0.0,
-        "use_order_book": false,
-        "order_book_top": 1,
-        "check_depth_of_market": {
-            "enabled": false,
-            "bids_to_ask_delta": 1
-        }
-    },
-    "ask_strategy":{
-        "use_order_book": false,
-        "order_book_min": 1,
-        "order_book_max": 9
-    },
-    "exchange": {
-        "name": "binance",
-        "key": "your_exchange_key",
-        "secret": "your_exchange_secret",
-        "ccxt_config": {"enableRateLimit": true},
-        "ccxt_async_config": {
-            "enableRateLimit": false
-        },
-        "pair_whitelist": [
-            "AST/BTC",
-            "ETC/BTC",
-            "ETH/BTC",
-            "EOS/BTC",
-            "IOTA/BTC",
-            "LTC/BTC",
-            "MTH/BTC",
-            "NCASH/BTC",
-            "TNT/BTC",
-            "XMR/BTC",
-            "XLM/BTC",
-            "XRP/BTC"
-        ],
-        "pair_blacklist": [
-            "BNB/BTC"
-        ]
-    },
-    "experimental": {
-        "use_sell_signal": false,
-        "sell_profit_only": false,
-        "ignore_roi_if_buy_signal": false
-    },
-    "edge": {
-        "enabled": false,
-        "process_throttle_secs": 3600,
-        "calculate_since_number_of_days": 7,
-        "capital_available_percentage": 0.5,
-        "allowed_risk": 0.01,
-        "stoploss_range_min": -0.01,
-        "stoploss_range_max": -0.1,
-        "stoploss_range_step": -0.01,
-        "minimum_winrate": 0.60,
-        "minimum_expectancy": 0.20,
-        "min_trade_number": 10,
-        "max_trade_duration_minute": 1440,
-        "remove_pumps": false
-    },
-    "telegram": {
-        "enabled": false,
-        "token": "your_telegram_token",
-        "chat_id": "your_telegram_chat_id"
-    },
-    "initial_state": "running",
-    "forcebuy_enable": false,
-    "internals": {
-        "process_throttle_secs": 5
-    }
-}

config_full.json.example

@@ -1,114 +0,0 @@
-{
-    "max_open_trades": 3,
-    "stake_currency": "BTC",
-    "stake_amount": 0.05,
-    "fiat_display_currency": "USD",
-    "amount_reserve_percent" : 0.05,
-    "dry_run": false,
-    "ticker_interval": "5m",
-    "trailing_stop": false,
-    "trailing_stop_positive": 0.005,
-    "trailing_stop_positive_offset": 0.0051,
-    "minimal_roi": {
-        "40":  0.0,
-        "30":  0.01,
-        "20":  0.02,
-        "0":  0.04
-    },
-    "stoploss": -0.10,
-    "unfilledtimeout": {
-        "buy": 10,
-        "sell": 30
-    },
-    "bid_strategy": {
-        "ask_last_balance": 0.0,
-        "use_order_book": false,
-        "order_book_top": 1,
-        "check_depth_of_market": {
-            "enabled": false,
-            "bids_to_ask_delta": 1
-        }
-    },
-    "ask_strategy":{
-        "use_order_book": false,
-        "order_book_min": 1,
-        "order_book_max": 9
-    },
-    "order_types": {
-        "buy": "limit",
-        "sell": "limit",
-        "stoploss": "market",
-        "stoploss_on_exchange": "false",
-        "stoploss_on_exchange_interval": 60
-    },
-    "order_time_in_force": {
-        "buy": "gtc",
-        "sell": "gtc",
-    },
-    "pairlist": {
-        "method": "VolumePairList",
-        "config": {
-            "number_assets": 20,
-            "sort_key": "quoteVolume"
-        }
-    },
-    "exchange": {
-        "name": "bittrex",
-        "key": "your_exchange_key",
-        "secret": "your_exchange_secret",
-        "ccxt_config": {"enableRateLimit": true},
-        "ccxt_async_config": {
-            "enableRateLimit": false,
-            "aiohttp_trust_env": false
-        },
-        "pair_whitelist": [
-            "ETH/BTC",
-            "LTC/BTC",
-            "ETC/BTC",
-            "DASH/BTC",
-            "ZEC/BTC",
-            "XLM/BTC",
-            "NXT/BTC",
-            "POWR/BTC",
-            "ADA/BTC",
-            "XMR/BTC"
-        ],
-        "pair_blacklist": [
-            "DOGE/BTC"
-        ],
-        "outdated_offset": 5
-    },
-    "edge": {
-        "enabled": false,
-        "process_throttle_secs": 3600,
-        "calculate_since_number_of_days": 7,
-        "capital_available_percentage": 0.5,
-        "allowed_risk": 0.01,
-        "stoploss_range_min": -0.01,
-        "stoploss_range_max": -0.1,
-        "stoploss_range_step": -0.01,
-        "minimum_winrate": 0.60,
-        "minimum_expectancy": 0.20,
-        "min_trade_number": 10,
-        "max_trade_duration_minute": 1440,
-        "remove_pumps": false
-    },
-    "experimental": {
-        "use_sell_signal": false,
-        "sell_profit_only": false,
-        "ignore_roi_if_buy_signal": false
-    },
-    "telegram": {
-        "enabled": true,
-        "token": "your_telegram_token",
-        "chat_id": "your_telegram_chat_id"
-    },
-    "db_url": "sqlite:///tradesv3.sqlite",
-    "initial_state": "running",
-    "forcebuy_enable": false,
-    "internals": {
-        "process_throttle_secs": 5
-    },
-    "strategy": "DefaultStrategy",
-    "strategy_path": "/some/folder/"
-}

docs/backtesting.md

@@ -1,277 +0,0 @@
-# Backtesting
-
-This page explains how to validate your strategy performance by using
-Backtesting.
-
-## Test your strategy with Backtesting
-
-Now you have good Buy and Sell strategies, you want to test it against
-real data. This is what we call
-[backtesting](https://en.wikipedia.org/wiki/Backtesting).
-
-Backtesting will use the crypto-currencies (pair) from your config file
-and load static tickers located in
-[/freqtrade/tests/testdata](https://github.com/freqtrade/freqtrade/tree/develop/freqtrade/tests/testdata).
-If the 5 min and 1 min ticker for the crypto-currencies to test is not
-already in the `testdata` folder, backtesting will download them
-automatically. Testdata files will not be updated until you specify it.
-
-The result of backtesting will confirm you if your bot has better odds of making a profit than a loss.
-
-The backtesting is very easy with freqtrade.
-
-### Run a backtesting against the currencies listed in your config file
-#### With 5 min tickers (Per default)
-
-```bash
-python3 ./freqtrade/main.py backtesting
-```
-
-#### With 1 min tickers
-
-```bash
-python3 ./freqtrade/main.py backtesting --ticker-interval 1m
-```
-
-#### Update cached pairs with the latest data
-
-```bash
-python3 ./freqtrade/main.py backtesting --refresh-pairs-cached
-```
-
-#### With live data (do not alter your testdata files)
-
-```bash
-python3 ./freqtrade/main.py backtesting --live
-```
-
-#### Using a different on-disk ticker-data source
-
-```bash
-python3 ./freqtrade/main.py backtesting --datadir freqtrade/tests/testdata-20180101
-```
-
-#### With a (custom) strategy file
-
-```bash
-python3 ./freqtrade/main.py -s TestStrategy backtesting
-```
-
-Where `-s TestStrategy` refers to the class name within the strategy file `test_strategy.py` found in the `freqtrade/user_data/strategies` directory
-
-#### Exporting trades to file
-
-```bash
-python3 ./freqtrade/main.py backtesting --export trades
-```
-
-The exported trades can be read using the following code for manual analysis, or can be used by the plotting script `plot_dataframe.py` in the scripts folder.
-
-``` python
-import json
-from pathlib import Path
-import pandas as pd
-
-filename=Path('user_data/backtest_data/backtest-result.json')
-
-with filename.open() as file:
-        data = json.load(file)
-
-columns = ["pair", "profit", "opents", "closets", "index", "duration",
-           "open_rate", "close_rate", "open_at_end", "sell_reason"]
-df = pd.DataFrame(data, columns=columns)
-
-df['opents'] = pd.to_datetime(df['opents'],
-                              unit='s',
-                              utc=True,
-                              infer_datetime_format=True
-                             )
-df['closets'] = pd.to_datetime(df['closets'],
-                               unit='s',
-                               utc=True,
-                               infer_datetime_format=True
-                              )
-```
-
-If you have some ideas for interesting / helpful backtest data analysis, feel free to submit a PR so the community can benefit from it.
-
-#### Exporting trades to file specifying a custom filename
-
-```bash
-python3 ./freqtrade/main.py backtesting --export trades --export-filename=backtest_teststrategy.json
-```
-
-#### Running backtest with smaller testset
-
-Use the `--timerange` argument to change how much of the testset
-you want to use. The last N ticks/timeframes will be used.
-
-Example:
-
-```bash
-python3 ./freqtrade/main.py backtesting --timerange=-200
-```
-
-#### Advanced use of timerange
-
-Doing `--timerange=-200` will get the last 200 timeframes
-from your inputdata. You can also specify specific dates,
-or a range span indexed by start and stop.
-
-The full timerange specification:
-
-- Use last 123 tickframes of data: `--timerange=-123`
-- Use first 123 tickframes of data: `--timerange=123-`
-- Use tickframes from line 123 through 456: `--timerange=123-456`
-- Use tickframes till 2018/01/31: `--timerange=-20180131`
-- Use tickframes since 2018/01/31: `--timerange=20180131-`
-- Use tickframes since 2018/01/31 till 2018/03/01 : `--timerange=20180131-20180301`
-- Use tickframes between POSIX timestamps 1527595200 1527618600:
-                                                `--timerange=1527595200-1527618600`
-
-#### Downloading new set of ticker data
-
-To download new set of backtesting ticker data, you can use a download script.
-
-If you are using Binance for example:
-
-- create a folder `user_data/data/binance` and copy `pairs.json` in that folder.
-- update the `pairs.json` to contain the currency pairs you are interested in.
-
-```bash
-mkdir -p user_data/data/binance
-cp freqtrade/tests/testdata/pairs.json user_data/data/binance
-```
-
-Then run:
-
-```bash
-python scripts/download_backtest_data.py --exchange binance
-```
-
-This will download ticker data for all the currency pairs you defined in `pairs.json`.
-
-- To use a different folder than the exchange specific default, use `--export user_data/data/some_directory`.
-- To change the exchange used to download the tickers, use `--exchange`. Default is `bittrex`.
-- To use `pairs.json` from some other folder, use `--pairs-file some_other_dir/pairs.json`.
-- To download ticker data for only 10 days, use `--days 10`.
-- Use `--timeframes` to specify which tickers to download. Default is `--timeframes 1m 5m` which will download 1-minute and 5-minute tickers.
-
-For help about backtesting usage, please refer to [Backtesting commands](#backtesting-commands).
-
-## Understand the backtesting result
-
-The most important in the backtesting is to understand the result.
-
-A backtesting result will look like that:
-
-```
-========================================================= BACKTESTING REPORT ========================================================
-| pair     |   buy count |   avg profit % |   cum profit % |   tot profit BTC |   tot profit % | avg duration   |   profit |   loss |
-|:---------|------------:|---------------:|---------------:|-----------------:|---------------:|:---------------|---------:|-------:|
-| ADA/BTC  |          35 |          -0.11 |          -3.88 |      -0.00019428 |          -1.94 | 4:35:00        |       14 |     21 |
-| ARK/BTC  |          11 |          -0.41 |          -4.52 |      -0.00022647 |          -2.26 | 2:03:00        |        3 |      8 |
-| BTS/BTC  |          32 |           0.31 |           9.78 |       0.00048938 |           4.89 | 5:05:00        |       18 |     14 |
-| DASH/BTC |          13 |          -0.08 |          -1.07 |      -0.00005343 |          -0.53 | 4:39:00        |        6 |      7 |
-| ENG/BTC  |          18 |           1.36 |          24.54 |       0.00122807 |          12.27 | 2:50:00        |        8 |     10 |
-| EOS/BTC  |          36 |           0.08 |           3.06 |       0.00015304 |           1.53 | 3:34:00        |       16 |     20 |
-| ETC/BTC  |          26 |           0.37 |           9.51 |       0.00047576 |           4.75 | 6:14:00        |       11 |     15 |
-| ETH/BTC  |          33 |           0.30 |           9.96 |       0.00049856 |           4.98 | 7:31:00        |       16 |     17 |
-| IOTA/BTC |          32 |           0.03 |           1.09 |       0.00005444 |           0.54 | 3:12:00        |       14 |     18 |
-| LSK/BTC  |          15 |           1.75 |          26.26 |       0.00131413 |          13.13 | 2:58:00        |        6 |      9 |
-| LTC/BTC  |          32 |          -0.04 |          -1.38 |      -0.00006886 |          -0.69 | 4:49:00        |       11 |     21 |
-| NANO/BTC |          17 |           1.26 |          21.39 |       0.00107058 |          10.70 | 1:55:00        |       10 |      7 |
-| NEO/BTC  |          23 |           0.82 |          18.97 |       0.00094936 |           9.48 | 2:59:00        |       10 |     13 |
-| REQ/BTC  |           9 |           1.17 |          10.54 |       0.00052734 |           5.27 | 3:47:00        |        4 |      5 |
-| XLM/BTC  |          16 |           1.22 |          19.54 |       0.00097800 |           9.77 | 3:15:00        |        7 |      9 |
-| XMR/BTC  |          23 |          -0.18 |          -4.13 |      -0.00020696 |          -2.07 | 5:30:00        |       12 |     11 |
-| XRP/BTC  |          35 |           0.66 |          22.96 |       0.00114897 |          11.48 | 3:49:00        |       12 |     23 |
-| ZEC/BTC  |          22 |          -0.46 |         -10.18 |      -0.00050971 |          -5.09 | 2:22:00        |        7 |     15 |
-| TOTAL    |         429 |           0.36 |         152.41 |       0.00762792 |          76.20 | 4:12:00        |      186 |    243 |
-========================================================= SELL REASON STATS =========================================================
-| Sell Reason        |   Count |
-|:-------------------|--------:|
-| trailing_stop_loss |     205 |
-| stop_loss          |     166 |
-| sell_signal        |      56 |
-| force_sell         |       2 |
-====================================================== LEFT OPEN TRADES REPORT ======================================================
-| pair     |   buy count |   avg profit % |   cum profit % |   tot profit BTC |   tot profit % | avg duration   |   profit |   loss |
-|:---------|------------:|---------------:|---------------:|-----------------:|---------------:|:---------------|---------:|-------:|
-| ADA/BTC  |           1 |           0.89 |           0.89 |       0.00004434 |           0.44 | 6:00:00        |        1 |      0 |
-| LTC/BTC  |           1 |           0.68 |           0.68 |       0.00003421 |           0.34 | 2:00:00        |        1 |      0 |
-| TOTAL    |           2 |           0.78 |           1.57 |       0.00007855 |           0.78 | 4:00:00        |        2 |      0 |
-```
-
-The 1st table will contain all trades the bot made.
-
-The 2nd table will contain a recap of sell reasons.
-
-The 3rd table will contain all trades the bot had to `forcesell` at the end of the backtest period to present a full picture.
-These trades are also included in the first table, but are extracted separately for clarity.
-
-The last line will give you the overall performance of your strategy,
-here:
-
-```
-| TOTAL    |         429 |           0.36 |         152.41 |       0.00762792 |          76.20 | 4:12:00        |      186 |    243 |
-```
-
-We understand the bot has made `429` trades for an average duration of
-`4:12:00`, with a performance of `76.20%` (profit), that means it has
-earned a total of `0.00762792 BTC` starting with a capital of 0.01 BTC.
-
-The column `avg profit %` shows the average profit for all trades made while the column `cum profit %` sums all the profits/losses. 
-The column `tot profit %` shows instead the total profit % in relation to allocated capital 
-(`max_open_trades * stake_amount`). In the above results we have `max_open_trades=2 stake_amount=0.005` in config 
-so `(76.20/100) * (0.005 * 2) =~ 0.00762792 BTC`.
-
-As you will see your strategy performance will be influenced by your buy
-strategy, your sell strategy, and also by the `minimal_roi` and
-`stop_loss` you have set.
-
-As for an example if your minimal_roi is only `"0":  0.01`. You cannot
-expect the bot to make more profit than 1% (because it will sell every
-time a trade will reach 1%).
-
-```json
-"minimal_roi": {
-    "0":  0.01
-},
-```
-
-On the other hand, if you set a too high `minimal_roi` like `"0":  0.55`
-(55%), there is a lot of chance that the bot will never reach this
-profit. Hence, keep in mind that your performance is a mix of your
-strategies, your configuration, and the crypto-currency you have set up.
-
-## Backtesting multiple strategies
-
-To backtest multiple strategies, a list of Strategies can be provided.
-
-This is limited to 1 ticker-interval per run, however, data is only loaded once from disk so if you have multiple
-strategies you'd like to compare, this should give a nice runtime boost.
-
-All listed Strategies need to be in the same folder.
-
-``` bash
-freqtrade backtesting --timerange 20180401-20180410 --ticker-interval 5m --strategy-list Strategy001 Strategy002 --export trades
-```
-
-This will save the results to `user_data/backtest_data/backtest-result-<strategy>.json`, injecting the strategy-name into the target filename.
-There will be an additional table comparing win/losses of the different strategies (identical to the "Total" row in the first table).
-Detailed output for all strategies one after the other will be available, so make sure to scroll up.
-
-```
-=========================================================== Strategy Summary ===========================================================
-| Strategy    |   buy count |   avg profit % |   cum profit % |   tot profit BTC |   tot profit % | avg duration   |   profit |   loss |
-|:------------|------------:|---------------:|---------------:|-----------------:|---------------:|:---------------|---------:|-------:|
-| Strategy1   |         429 |           0.36 |         152.41 |       0.00762792 |          76.20 | 4:12:00        |      186 |    243 |
-| Strategy2   |        1487 |          -0.13 |        -197.58 |      -0.00988917 |         -98.79 | 4:43:00        |      662 |    825 |
-```
-
-## Next step
-
-Great, your strategy is profitable. What if the bot can give your the
-optimal parameters to use for your strategy?
-Your next step is to learn [how to find optimal parameters with Hyperopt](hyperopt.md)

docs/bot-optimization.md

@@ -1,372 +0,0 @@
-# Optimization
-
-This page explains where to customize your strategies, and add new
-indicators.
-
-## Install a custom strategy file
-
-This is very simple. Copy paste your strategy file into the folder
-`user_data/strategies`.
-
-Let assume you have a class called `AwesomeStrategy` in the file `awesome-strategy.py`:
-
-1. Move your file into `user_data/strategies` (you should have `user_data/strategies/awesome-strategy.py`
-2. Start the bot with the param `--strategy AwesomeStrategy` (the parameter is the class name)
-
-```bash
-python3 ./freqtrade/main.py --strategy AwesomeStrategy
-```
-
-## Change your strategy
-
-The bot includes a default strategy file. However, we recommend you to
-use your own file to not have to lose your parameters every time the default
-strategy file will be updated on Github. Put your custom strategy file
-into the folder `user_data/strategies`.
-
-Best copy the test-strategy and modify this copy to avoid having bot-updates override your changes.
-`cp  user_data/strategies/test_strategy.py user_data/strategies/awesome-strategy.py`
-
-### Anatomy of a strategy
-
-A strategy file contains all the information needed to build a good strategy:
-
-- Indicators
-- Buy strategy rules
-- Sell strategy rules
-- Minimal ROI recommended
-- Stoploss strongly recommended
-
-The bot also include a sample strategy called `TestStrategy` you can update: `user_data/strategies/test_strategy.py`.
-You can test it with the parameter: `--strategy TestStrategy`
-
-```bash
-python3 ./freqtrade/main.py --strategy AwesomeStrategy
-```
-
-**For the following section we will use the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py)
-file as reference.**
-
-!!! Note: Strategies and Backtesting
-    To avoid problems and unexpected differences between Backtesting and dry/live modes, please be aware
-    that during backtesting the full time-interval is passed to the `populate_*()` methods at once.
-    It is therefore best to use vectorized operations (across the whole dataframe, not loops) and
-    avoid index referencing (`df.iloc[-1]`), but instead use `df.shift()` to get to the previous candle.
-
-### Customize Indicators
-
-Buy and sell strategies need indicators. You can add more indicators by extending the list contained in the method `populate_indicators()` from your strategy file.
-
-You should only add the indicators used in either `populate_buy_trend()`, `populate_sell_trend()`, or to populate another indicator, otherwise performance may suffer.
-
-It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected.
-
-Sample:
-
-```python
-def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-    """
-    Adds several different TA indicators to the given DataFrame
-
-    Performance Note: For the best performance be frugal on the number of indicators
-    you are using. Let uncomment only the indicator you are using in your strategies
-    or your hyperopt configuration, otherwise you will waste your memory and CPU usage.
-    :param dataframe: Raw data from the exchange and parsed by parse_ticker_dataframe()
-    :param metadata: Additional information, like the currently traded pair
-    :return: a Dataframe with all mandatory indicators for the strategies
-    """
-    dataframe['sar'] = ta.SAR(dataframe)
-    dataframe['adx'] = ta.ADX(dataframe)
-    stoch = ta.STOCHF(dataframe)
-    dataframe['fastd'] = stoch['fastd']
-    dataframe['fastk'] = stoch['fastk']
-    dataframe['blower'] = ta.BBANDS(dataframe, nbdevup=2, nbdevdn=2)['lowerband']
-    dataframe['sma'] = ta.SMA(dataframe, timeperiod=40)
-    dataframe['tema'] = ta.TEMA(dataframe, timeperiod=9)
-    dataframe['mfi'] = ta.MFI(dataframe)
-    dataframe['rsi'] = ta.RSI(dataframe)
-    dataframe['ema5'] = ta.EMA(dataframe, timeperiod=5)
-    dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10)
-    dataframe['ema50'] = ta.EMA(dataframe, timeperiod=50)
-    dataframe['ema100'] = ta.EMA(dataframe, timeperiod=100)
-    dataframe['ao'] = awesome_oscillator(dataframe)
-    macd = ta.MACD(dataframe)
-    dataframe['macd'] = macd['macd']
-    dataframe['macdsignal'] = macd['macdsignal']
-    dataframe['macdhist'] = macd['macdhist']
-    hilbert = ta.HT_SINE(dataframe)
-    dataframe['htsine'] = hilbert['sine']
-    dataframe['htleadsine'] = hilbert['leadsine']
-    dataframe['plus_dm'] = ta.PLUS_DM(dataframe)
-    dataframe['plus_di'] = ta.PLUS_DI(dataframe)
-    dataframe['minus_dm'] = ta.MINUS_DM(dataframe)
-    dataframe['minus_di'] = ta.MINUS_DI(dataframe)
-    return dataframe
-```
-
-
-!!! Note "Want more indicator examples?"
-    Look into the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py).<br/>
-    Then uncomment indicators you need.
-
-### Buy signal rules
-
-Edit the method `populate_buy_trend()` in your strategy file to update your buy strategy.
-
-It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected.
-
-This will method will also define a new column, `"buy"`, which needs to contain 1 for buys, and 0 for "no action".
-
-Sample from `user_data/strategies/test_strategy.py`:
-
-```python
-def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-    """
-    Based on TA indicators, populates the buy signal for the given dataframe
-    :param dataframe: DataFrame populated with indicators
-    :param metadata: Additional information, like the currently traded pair
-    :return: DataFrame with buy column
-    """
-    dataframe.loc[
-        (
-            (dataframe['adx'] > 30) &
-            (dataframe['tema'] <= dataframe['bb_middleband']) &
-            (dataframe['tema'] > dataframe['tema'].shift(1))
-        ),
-        'buy'] = 1
-
-    return dataframe
-```
-
-### Sell signal rules
-
-Edit the method `populate_sell_trend()` into your strategy file to update your sell strategy.
-Please note that the sell-signal is only used if `use_sell_signal` is set to true in the configuration.
-
-It's important to always return the dataframe without removing/modifying the columns `"open", "high", "low", "close", "volume"`, otherwise these fields would contain something unexpected.
-
-This will method will also define a new column, `"sell"`, which needs to contain 1 for sells, and 0 for "no action".
-
-Sample from `user_data/strategies/test_strategy.py`:
-
-```python
-def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-    """
-    Based on TA indicators, populates the sell signal for the given dataframe
-    :param dataframe: DataFrame populated with indicators
-    :param metadata: Additional information, like the currently traded pair
-    :return: DataFrame with buy column
-    """
-    dataframe.loc[
-        (
-            (dataframe['adx'] > 70) &
-            (dataframe['tema'] > dataframe['bb_middleband']) &
-            (dataframe['tema'] < dataframe['tema'].shift(1))
-        ),
-        'sell'] = 1
-    return dataframe
-```
-
-### Minimal ROI
-
-This dict defines the minimal Return On Investment (ROI) a trade should reach before selling, independent from the sell signal.
-
-It is of the following format, with the dict key (left side of the colon) being the minutes passed since the trade opened, and the value (right side of the colon) being the percentage.
-
-```python
-minimal_roi = {
-    "40": 0.0,
-    "30": 0.01,
-    "20": 0.02,
-    "0": 0.04
-}
-```
-
-The above configuration would therefore mean:
-
-- Sell whenever 4% profit was reached
-- Sell when 2% profit was reached (in effect after 20 minutes)
-- Sell when 1% profit was reached (in effect after 30 minutes)
-- Sell when trade is non-loosing (in effect after 40 minutes)
-
-The calculation does include fees.
-
-To disable ROI completely, set it to an insanely high number:
-
-```python
-minimal_roi = {
-    "0": 100
-}
-```
-
-While technically not completely disabled, this would sell once the trade reaches 10000% Profit.
-
-### Stoploss
-
-Setting a stoploss is highly recommended to protect your capital from strong moves against you.
-
-Sample:
-
-``` python
-stoploss = -0.10
-```
-
-This would signify a stoploss of -10%.
-If your exchange supports it, it's recommended to also set `"stoploss_on_exchange"` in the order dict, so your stoploss is on the exchange and cannot be missed for network-problems (or other problems).
-
-For more information on order_types please look [here](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md#understand-order_types).
-
-### Ticker interval
-
-This is the set of candles the bot should download and use for the analysis.
-Common values are `"1m"`, `"5m"`, `"15m"`, `"1h"`, however all values supported by your exchange should work.
-
-Please note that the same buy/sell signals may work with one interval, but not the other.
-This setting is accessible within the strategy by using `self.ticker_interval`.
-
-### Metadata dict
-
-The metadata-dict (available for `populate_buy_trend`, `populate_sell_trend`, `populate_indicators`) contains additional information.
-Currently this is `pair`, which can be accessed using `metadata['pair']` - and will return a pair in the format `XRP/BTC`.
-
-The Metadata-dict should not be modified and does not persist information across multiple calls.
-Instead, have a look at the section [Storing information](#Storing-information)
-
-### Storing information
-
-Storing information can be accomplished by crating a new dictionary within the strategy class.
-
-The name of the variable can be choosen at will, but should be prefixed with `cust_` to avoid naming collisions with predefined strategy variables.
-
-```python
-class Awesomestrategy(IStrategy):
-    # Create custom dictionary
-    cust_info = {}
-    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-        # Check if the entry already exists
-        if "crosstime" in self.cust_info[metadata["pair"]:
-            self.cust_info[metadata["pair"]["crosstime"] += 1
-        else:
-            self.cust_info[metadata["pair"]["crosstime"] = 1
-```
-
-!!! Warning:
-  The data is not persisted after a bot-restart (or config-reload). Also, the amount of data should be kept smallish (no DataFrames and such), otherwise the bot will start to consume a lot of memory and eventually run out of memory and crash.
-
-!!! Note:
-  If the data is pair-specific, make sure to use pair as one of the keys in the dictionary.
-
-### Additional data (DataProvider)
-
-The strategy provides access to the `DataProvider`. This allows you to get additional data to use in your strategy.
-
-!!!Note:
-    The DataProvier is currently not available during backtesting / hyperopt, but this is planned for the future.
-
-All methods return `None` in case of failure (do not raise an exception).
-
-Please always check if the `DataProvider` is available to avoid failures during backtesting.
-
-#### Possible options for DataProvider
-
-- `available_pairs` - Property with tuples listing cached pairs with their intervals. (pair, interval)
-- `ohlcv(pair, ticker_interval)` - Currently cached ticker data for all pairs in the whitelist, returns DataFrame or empty DataFrame
-- `historic_ohlcv(pair, ticker_interval)` - Data stored on disk
-- `runmode` - Property containing the current runmode.
-
-#### ohlcv / historic_ohlcv
-
-``` python
-if self.dp:
-    if dp.runmode == 'live':
-        if ('ETH/BTC', ticker_interval) in self.dp.available_pairs:
-            data_eth = self.dp.ohlcv(pair='ETH/BTC',
-                                     ticker_interval=ticker_interval)
-    else:
-        # Get historic ohlcv data (cached on disk).
-        history_eth = self.dp.historic_ohlcv(pair='ETH/BTC',
-                                             ticker_interval='1h')
-```
-
-!!! Warning: Warning about backtesting
-    Be carefull when using dataprovider in backtesting. `historic_ohlcv()` provides the full time-range in one go,
-    so please be aware of it and make sure to not "look into the future" to avoid surprises when running in dry/live mode).
-
-#### Available Pairs
-
-``` python
-if self.dp:
-    for pair, ticker in self.dp.available_pairs:
-        print(f"available {pair}, {ticker}")
-```
-
-#### Get data for non-tradeable pairs
-
-Data for additional, informative pairs (reference pairs) can be beneficial for some strategies.
-Ohlcv data for these pairs will be downloaded as part of the regular whitelist refresh process and is available via `DataProvider` just as other pairs (see above).
-These parts will **not** be traded unless they are also specified in the pair whitelist, or have been selected by Dynamic Whitelisting.
-
-The pairs need to be specified as tuples in the format `("pair", "interval")`, with pair as the first and time interval as the second argument.
-
-Sample:
-
-``` python
-def informative_pairs(self):
-    return [("ETH/USDT", "5m"),
-            ("BTC/TUSD", "15m"),
-            ]
-```
-
-!!! Warning:
-    As these pairs will be refreshed as part of the regular whitelist refresh, it's best to keep this list short.
-    All intervals and all pairs can be specified as long as they are available (and active) on the used exchange.
-    It is however better to use resampling to longer time-intervals when possible
-    to avoid hammering the exchange with too many requests and risk beeing blocked.
-
-### Additional data - Wallets
-
-The strategy provides access to the `Wallets` object. This contains the current balances on the exchange.
-
-!!!NOTE:
-    Wallets is not available during backtesting / hyperopt.
-
-Please always check if `Wallets` is available to avoid failures during backtesting.
-
-``` python
-if self.wallets:
-    free_eth = self.wallets.get_free('ETH')
-    used_eth = self.wallets.get_used('ETH')
-    total_eth = self.wallets.get_total('ETH')
-```
-
-#### Possible options for Wallets
-
-- `get_free(asset)` - currently available balance to trade
-- `get_used(asset)` - currently tied up balance (open orders)
-- `get_total(asset)` - total available balance - sum of the 2 above
-
-### Where is the default strategy?
-
-The default buy strategy is located in the file
-[freqtrade/default_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/strategy/default_strategy.py).
-
-### Specify custom strategy location
-
-If you want to use a strategy from a different folder you can pass `--strategy-path`
-
-```bash
-python3 ./freqtrade/main.py --strategy AwesomeStrategy --strategy-path /some/folder
-```
-
-### Further strategy ideas
-
-To get additional Ideas for strategies, head over to our [strategy repository](https://github.com/freqtrade/freqtrade-strategies). Feel free to use them as they are - but results will depend on the current market situation, pairs used etc. - therefore please backtest the strategy for your exchange/desired pairs first, evaluate carefully, use at your own risk.
-Feel free to use any of them as inspiration for your own strategies.
-We're happy to accept Pull Requests containing new Strategies to that repo.
-
-We also got a *strategy-sharing* channel in our [Slack community](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE) which is a great place to get and/or share ideas.
-
-## Next step
-
-Now you have a perfect strategy you probably want to backtest it.
-Your next step is to learn [How to use the Backtesting](backtesting.md).

docs/bot-usage.md

@@ -1,253 +0,0 @@
-# Start the bot
-
-This page explains the different parameters of the bot and how to run it.
-
-
-## Bot commands
-
-```
-usage: main.py [-h] [-v] [--version] [-c PATH] [-d PATH] [-s NAME]
-               [--strategy-path PATH] [--customhyperopt NAME]
-               [--dynamic-whitelist [INT]] [--db-url PATH]
-               {backtesting,edge,hyperopt} ...
-
-Free, open source crypto trading bot
-
-positional arguments:
-  {backtesting,edge,hyperopt}
-    backtesting         backtesting module
-    edge                edge module
-    hyperopt            hyperopt module
-
-optional arguments:
-  -h, --help            show this help message and exit
-  -v, --verbose         verbose mode (-vv for more, -vvv to get all messages)
-  --version             show program\'s version number and exit
-  -c PATH, --config PATH
-                        specify configuration file (default: config.json)
-  -d PATH, --datadir PATH
-                        path to backtest data
-  -s NAME, --strategy NAME
-                        specify strategy class name (default: DefaultStrategy)
-  --strategy-path PATH  specify additional strategy lookup path
-  --customhyperopt NAME
-                        specify hyperopt class name (default:
-                        DefaultHyperOpts)
-  --dynamic-whitelist [INT]
-                        dynamically generate and update whitelist based on 24h
-                        BaseVolume (default: 20) DEPRECATED.
-  --db-url PATH         Override trades database URL, this is useful if
-                        dry_run is enabled or in custom deployments (default:
-                        None)
-```
-
-### How to use a different config file?
-
-The bot allows you to select which config file you want to use. Per
-default, the bot will load the file `./config.json`
-
-```bash
-python3 ./freqtrade/main.py -c path/far/far/away/config.json
-```
-
-### How to use **--strategy**?
-
-This parameter will allow you to load your custom strategy class.
-Per default without `--strategy` or `-s` the bot will load the
-`DefaultStrategy` included with the bot (`freqtrade/strategy/default_strategy.py`).
-
-The bot will search your strategy file within `user_data/strategies` and `freqtrade/strategy`.
-
-To load a strategy, simply pass the class name (e.g.: `CustomStrategy`) in this parameter.
-
-**Example:**
-In `user_data/strategies` you have a file `my_awesome_strategy.py` which has
-a strategy class called `AwesomeStrategy` to load it:
-
-```bash
-python3 ./freqtrade/main.py --strategy AwesomeStrategy
-```
-
-If the bot does not find your strategy file, it will display in an error
-message the reason (File not found, or errors in your code).
-
-Learn more about strategy file in [optimize your bot](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md).
-
-### How to use **--strategy-path**?
-
-This parameter allows you to add an additional strategy lookup path, which gets
-checked before the default locations (The passed path must be a folder!):
-```bash
-python3 ./freqtrade/main.py --strategy AwesomeStrategy --strategy-path /some/folder
-```
-
-#### How to install a strategy?
-
-This is very simple. Copy paste your strategy file into the folder
-`user_data/strategies` or use `--strategy-path`. And voila, the bot is ready to use it.
-
-### How to use **--dynamic-whitelist**?
-
-!!! danger "DEPRECATED"
-    Dynamic-whitelist is deprecated. Please move your configurations to the configuration as outlined [here](/configuration/#dynamic-pairlists)
-
-Per default `--dynamic-whitelist` will retrieve the 20 currencies based
-on BaseVolume. This value can be changed when you run the script.
-
-**By Default**
-Get the 20 currencies based on BaseVolume.
-
-```bash
-python3 ./freqtrade/main.py --dynamic-whitelist
-```
-
-**Customize the number of currencies to retrieve**
-Get the 30 currencies based on BaseVolume.
-
-```bash
-python3 ./freqtrade/main.py --dynamic-whitelist 30
-```
-
-**Exception**
-`--dynamic-whitelist` must be greater than 0. If you enter 0 or a
-negative value (e.g -2), `--dynamic-whitelist` will use the default
-value (20).
-
-### How to use **--db-url**?
-
-When you run the bot in Dry-run mode, per default no transactions are
-stored in a database. If you want to store your bot actions in a DB
-using `--db-url`. This can also be used to specify a custom database
-in production mode. Example command:
-
-```bash
-python3 ./freqtrade/main.py -c config.json --db-url sqlite:///tradesv3.dry_run.sqlite
-```
-
-## Backtesting commands
-
-Backtesting also uses the config specified via `-c/--config`.
-
-```
-usage: main.py backtesting [-h] [-i TICKER_INTERVAL] [--timerange TIMERANGE]
-                           [--eps] [--dmmp] [-l] [-r]
-                           [--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]]
-                           [--export EXPORT] [--export-filename PATH]
-
-optional arguments:
-  -h, --help            show this help message and exit
-  -i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
-                        specify ticker interval (1m, 5m, 30m, 1h, 1d)
-  --timerange TIMERANGE
-                        specify what timerange of data to use.
-  --eps, --enable-position-stacking
-                        Allow buying the same pair multiple times (position
-                        stacking)
-  --dmmp, --disable-max-market-positions
-                        Disable applying `max_open_trades` during backtest
-                        (same as setting `max_open_trades` to a very high
-                        number)
-  -l, --live            using live data
-  -r, --refresh-pairs-cached
-                        refresh the pairs files in tests/testdata with the
-                        latest data from the exchange. Use it if you want to
-                        run your backtesting with up-to-date data.
-  --strategy-list STRATEGY_LIST [STRATEGY_LIST ...]
-                        Provide a commaseparated list of strategies to
-                        backtest Please note that ticker-interval needs to be
-                        set either in config or via command line. When using
-                        this together with --export trades, the strategy-name
-                        is injected into the filename (so backtest-data.json
-                        becomes backtest-data-DefaultStrategy.json
-  --export EXPORT       export backtest results, argument are: trades Example
-                        --export=trades
-  --export-filename PATH
-                        Save backtest results to this filename requires
-                        --export to be set as well Example --export-
-                        filename=user_data/backtest_data/backtest_today.json
-                        (default: user_data/backtest_data/backtest-
-                        result.json)
-```
-
-### How to use **--refresh-pairs-cached** parameter?
-
-The first time your run Backtesting, it will take the pairs you have
-set in your config file and download data from Bittrex.
-
-If for any reason you want to update your data set, you use
-`--refresh-pairs-cached` to force Backtesting to update the data it has.
-
-!!! Note
-    Use it only if you want to update your data set. You will not be able to come back to the previous version.
-
-To test your strategy with latest data, we recommend continuing using
-the parameter `-l` or `--live`.
-
-## Hyperopt commands
-
-To optimize your strategy, you can use hyperopt parameter hyperoptimization
-to find optimal parameter values for your stategy.
-
-```
-usage: freqtrade hyperopt [-h] [-i TICKER_INTERVAL] [--eps] [--dmmp]
-                          [--timerange TIMERANGE] [-e INT]
-                          [-s {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...]]
-
-optional arguments:
-  -h, --help            show this help message and exit
-  -i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
-                        specify ticker interval (1m, 5m, 30m, 1h, 1d)
-  --eps, --enable-position-stacking
-                        Allow buying the same pair multiple times (position
-                        stacking)
-  --dmmp, --disable-max-market-positions
-                        Disable applying `max_open_trades` during backtest
-                        (same as setting `max_open_trades` to a very high
-                        number)
-  --timerange TIMERANGE
-                        specify what timerange of data to use.
-  --hyperopt PATH       specify hyperopt file (default:
-                        freqtrade/optimize/default_hyperopt.py)
-  -e INT, --epochs INT  specify number of epochs (default: 100)
-  -s {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...], --spaces {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...]
-                        Specify which parameters to hyperopt. Space separate
-                        list. Default: all
-
-```
-
-## Edge commands
-
-To know your trade expectacny and winrate against historical data, you can use Edge.
-
-```
-usage: main.py edge [-h] [-i TICKER_INTERVAL] [--timerange TIMERANGE] [-r]
-                    [--stoplosses STOPLOSS_RANGE]
-
-optional arguments:
-  -h, --help            show this help message and exit
-  -i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
-                        specify ticker interval (1m, 5m, 30m, 1h, 1d)
-  --timerange TIMERANGE
-                        specify what timerange of data to use.
-  -r, --refresh-pairs-cached
-                        refresh the pairs files in tests/testdata with the
-                        latest data from the exchange. Use it if you want to
-                        run your edge with up-to-date data.
-  --stoplosses STOPLOSS_RANGE
-                        defines a range of stoploss against which edge will
-                        assess the strategythe format is "min,max,step"
-                        (without any space).example:
-                        --stoplosses=-0.01,-0.1,-0.001
-```
-
-To understand edge and how to read the results, please read the [edge documentation](edge.md).
-
-## A parameter missing in the configuration?
-
-All parameters for `main.py`, `backtesting`, `hyperopt` are referenced
-in [misc.py](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/misc.py#L84)
-
-## Next step
-
-The optimal strategy of the bot will change with time depending of the market trends. The next step is to
-[optimize your bot](bot-optimization.md).

docs/configuration.md

@@ -1,373 +0,0 @@
-# Configure the bot
-
-This page explains how to configure your `config.json` file.
-
-## Setup config.json
-
-We recommend to copy and use the `config.json.example` as a template
-for your bot configuration.
-
-The table below will list all configuration parameters.
-
-Mandatory Parameters are marked as **Required**.
-
-|  Command | Default | Description |
-|----------|---------|-------------|
-| `max_open_trades` | 3 | **Required.** Number of trades open your bot will have. If -1 then it is ignored (i.e. potentially unlimited open trades)
-| `stake_currency` | BTC | **Required.** Crypto-currency used for trading.
-| `stake_amount` | 0.05 | **Required.** Amount of crypto-currency your bot will use for each trade. Per default, the bot will use (0.05 BTC x 3) = 0.15 BTC in total will be always engaged. Set it to `"unlimited"` to allow the bot to use all available balance.
-| `amount_reserve_percent` | 0.05 | Reserve some amount in min pair stake amount. Default is 5%. The bot will reserve `amount_reserve_percent` + stop-loss value when calculating min pair stake amount in order to avoid possible trade refusals.
-| `ticker_interval` | [1m, 5m, 30m, 1h, 1d] | The ticker interval to use (1min, 5 min, 30 min, 1 hour or 1 day). Default is 5 minutes. [Strategy Override](#parameters-in-strategy).
-| `fiat_display_currency` | USD | **Required.** Fiat currency used to show your profits. More information below.
-| `dry_run` | true | **Required.** Define if the bot must be in Dry-run or production mode.
-| `process_only_new_candles` | false | If set to true indicators are processed only once a new candle arrives. If false each loop populates the indicators, this will mean the same candle is processed many times creating system load but can be useful of your strategy depends on tick data not only candle. [Strategy Override](#parameters-in-strategy).
-| `minimal_roi` | See below | Set the threshold in percent the bot will use to sell a trade. More information below. [Strategy Override](#parameters-in-strategy).
-| `stoploss` | -0.10 | Value of the stoploss in percent used by the bot. More information below. More details in the [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-strategy).
-| `trailing_stop` | false | Enables trailing stop-loss (based on `stoploss` in either configuration or strategy file). More details in the [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-strategy).
-| `trailing_stop_positive` | 0 | Changes stop-loss once profit has been reached. More details in the [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-strategy).
-| `trailing_stop_positive_offset` | 0 | Offset on when to apply `trailing_stop_positive`. Percentage value which should be positive. More details in the [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-strategy).
-| `unfilledtimeout.buy` | 10 | **Required.** How long (in minutes) the bot will wait for an unfilled buy order to complete, after which the order will be cancelled.
-| `unfilledtimeout.sell` | 10 | **Required.** How long (in minutes) the bot will wait for an unfilled sell order to complete, after which the order will be cancelled.
-| `bid_strategy.ask_last_balance` | 0.0 | **Required.** Set the bidding price. More information [below](#understand-ask_last_balance).
-| `bid_strategy.use_order_book` | false | Allows buying of pair using the rates in Order Book Bids.
-| `bid_strategy.order_book_top` | 0 | Bot will use the top N rate in Order Book Bids. Ie. a value of 2 will allow the bot to pick the 2nd bid rate in Order Book Bids.
-| `bid_strategy. check_depth_of_market.enabled` | false | Does not buy if the % difference of buy orders and sell orders is met in Order Book.
-| `bid_strategy. check_depth_of_market.bids_to_ask_delta` | 0 | The % difference of buy orders and sell orders found in Order Book. A value lesser than 1 means sell orders is greater, while value greater than 1 means buy orders is higher.
-| `ask_strategy.use_order_book` | false | Allows selling of open traded pair using the rates in Order Book Asks.
-| `ask_strategy.order_book_min` | 0 | Bot will scan from the top min to max Order Book Asks searching for a profitable rate.
-| `ask_strategy.order_book_max` | 0 | Bot will scan from the top min to max Order Book Asks searching for a profitable rate.
-| `order_types` | None | Configure order-types depending on the action (`"buy"`, `"sell"`, `"stoploss"`, `"stoploss_on_exchange"`). [More information below](#understand-order_types). [Strategy Override](#parameters-in-strategy).
-| `order_time_in_force` | None | Configure time in force for buy and sell orders. [More information below](#understand-order_time_in_force). [Strategy Override](#parameters-in-strategy).
-| `exchange.name` | bittrex | **Required.** Name of the exchange class to use. [List below](#user-content-what-values-for-exchangename).
-| `exchange.key` | key | API key to use for the exchange. Only required when you are in production mode.
-| `exchange.secret` | secret | API secret to use for the exchange. Only required when you are in production mode.
-| `exchange.pair_whitelist` | [] | List of currency to use by the bot. Can be overrided with `--dynamic-whitelist` param.
-| `exchange.pair_blacklist` | [] | List of currency the bot must avoid. Useful when using `--dynamic-whitelist` param.
-| `exchange.ccxt_rate_limit` | True | DEPRECATED!! Have CCXT handle Exchange rate limits. Depending on the exchange, having this to false can lead to temporary bans from the exchange.
-| `exchange.ccxt_config` | None | Additional CCXT parameters passed to the regular ccxt instance. Parameters may differ from exchange to exchange and are documented in the [ccxt documentation](https://ccxt.readthedocs.io/en/latest/manual.html#instantiation)
-| `exchange.ccxt_async_config` | None | Additional CCXT parameters passed to the async ccxt instance. Parameters may differ from exchange to exchange  and are documented in the [ccxt documentation](https://ccxt.readthedocs.io/en/latest/manual.html#instantiation)
-| `edge` | false | Please refer to [edge configuration document](edge.md) for detailed explanation.
-| `experimental.use_sell_signal` | false | Use your sell strategy in addition of the `minimal_roi`. [Strategy Override](#parameters-in-strategy).
-| `experimental.sell_profit_only` | false | Waits until you have made a positive profit before taking a sell decision. [Strategy Override](#parameters-in-strategy).
-| `experimental.ignore_roi_if_buy_signal` | false | Does not sell if the buy-signal is still active. Takes preference over `minimal_roi` and `use_sell_signal`. [Strategy Override](#parameters-in-strategy).
-| `pairlist.method` | StaticPairList | Use Static whitelist. [More information below](#dynamic-pairlists).
-| `pairlist.config` | None | Additional configuration for dynamic pairlists. [More information below](#dynamic-pairlists).
-| `telegram.enabled` | true | **Required.** Enable or not the usage of Telegram.
-| `telegram.token` | token | Your Telegram bot token. Only required if `telegram.enabled` is `true`.
-| `telegram.chat_id` | chat_id | Your personal Telegram account id. Only required if `telegram.enabled` is `true`.
-| `webhook.enabled` | false | Enable usage of Webhook notifications
-| `webhook.url` | false | URL for the webhook. Only required if `webhook.enabled` is `true`. See the [webhook documentation](webhook-config.md) for more details.
-| `webhook.webhookbuy` | false | Payload to send on buy. Only required if `webhook.enabled` is `true`. See the [webhook documentationV](webhook-config.md) for more details.
-| `webhook.webhooksell` | false | Payload to send on sell. Only required if `webhook.enabled` is `true`. See the [webhook documentationV](webhook-config.md) for more details.
-| `webhook.webhookstatus` | false | Payload to send on status calls. Only required if `webhook.enabled` is `true`. See the [webhook documentationV](webhook-config.md) for more details.
-| `db_url` | `sqlite:///tradesv3.sqlite`| Declares database URL to use. NOTE: This defaults to `sqlite://` if `dry_run` is `True`.
-| `initial_state` | running | Defines the initial application state. More information below.
-| `forcebuy_enable` | false | Enables the RPC Commands to force a buy. More information below.
-| `strategy` | DefaultStrategy | Defines Strategy class to use.
-| `strategy_path` | null | Adds an additional strategy lookup path (must be a folder).
-| `internals.process_throttle_secs` | 5 | **Required.** Set the process throttle. Value in second.
-
-### Parameters in strategy
-
-The following parameters can be set in either configuration or strategy.
-Values in the configuration are always overwriting values set in the strategy.
-
-* `minimal_roi`
-* `ticker_interval`
-* `stoploss`
-* `trailing_stop`
-* `trailing_stop_positive`
-* `trailing_stop_positive_offset`
-* `process_only_new_candles`
-* `order_types`
-* `order_time_in_force`
-* `use_sell_signal` (experimental)
-* `sell_profit_only` (experimental)
-* `ignore_roi_if_buy_signal` (experimental)
-
-### Understand stake_amount
-
-`stake_amount` is an amount of crypto-currency your bot will use for each trade.
-The minimal value is 0.0005. If there is not enough crypto-currency in
-the account an exception is generated.
-To allow the bot to trade all the available `stake_currency` in your account set
-
-```json
-"stake_amount" : "unlimited",
-```
-
-In this case a trade amount is calclulated as: 
-
-```python
-currency_balanse / (max_open_trades - current_open_trades)
-```
-
-### Understand minimal_roi
-
-`minimal_roi` is a JSON object where the key is a duration
-in minutes and the value is the minimum ROI in percent.
-See the example below:
-
-```json
-"minimal_roi": {
-    "40": 0.0,    # Sell after 40 minutes if the profit is not negative
-    "30": 0.01,   # Sell after 30 minutes if there is at least 1% profit
-    "20": 0.02,   # Sell after 20 minutes if there is at least 2% profit
-    "0":  0.04    # Sell immediately if there is at least 4% profit
-},
-```
-
-Most of the strategy files already include the optimal `minimal_roi`
-value. This parameter is optional. If you use it, it will take over the
-`minimal_roi` value from the strategy file.
-
-### Understand stoploss
-
-`stoploss` is loss in percentage that should trigger a sale.
-For example value `-0.10` will cause immediate sell if the
-profit dips below -10% for a given trade. This parameter is optional.
-
-Most of the strategy files already include the optimal `stoploss`
-value. This parameter is optional. If you use it, it will take over the
-`stoploss` value from the strategy file.
-
-### Understand trailing stoploss
-
-Go to the [trailing stoploss Documentation](stoploss.md) for details on trailing stoploss.
-
-### Understand initial_state
-
-`initial_state` is an optional field that defines the initial application state.
-Possible values are `running` or `stopped`. (default=`running`)
-If the value is `stopped` the bot has to be started with `/start` first.
-
-### Understand forcebuy_enable
-
-`forcebuy_enable` enables the usage of forcebuy commands via Telegram.
-This is disabled for security reasons by default, and will show a warning message on startup if enabled.
-You send `/forcebuy ETH/BTC` to the bot, who buys the pair and holds it until a regular sell-signal appears (ROI, stoploss, /forcesell).
-
-Can be dangerous with some strategies, so use with care
-See [the telegram documentation](telegram-usage.md) for details on usage.
-
-### Understand process_throttle_secs
-
-`process_throttle_secs` is an optional field that defines in seconds how long the bot should wait
-before asking the strategy if we should buy or a sell an asset. After each wait period, the strategy is asked again for
-every opened trade wether or not we should sell, and for all the remaining pairs (either the dynamic list of pairs or
-the static list of pairs) if we should buy.
-
-### Understand ask_last_balance
-
-`ask_last_balance` sets the bidding price. Value `0.0` will use `ask` price, `1.0` will
-use the `last` price and values between those interpolate between ask and last
-price. Using `ask` price will guarantee quick success in bid, but bot will also
-end up paying more then would probably have been necessary.
-
-### Understand order_types
-
-`order_types` contains a dict mapping order-types to market-types as well as stoploss on or off exchange type and stoploss on exchange update interval in seconds. This allows to buy using limit orders, sell using limit-orders, and create stoploss orders using market. It also allows to set the stoploss "on exchange" which means stoploss order would be placed immediately once the buy order is fulfilled. In case stoploss on exchange and `trailing_stop` are both set, then the bot will use `stoploss_on_exchange_interval` to check it periodically and update it if necessary (e.x. in case of trailing stoploss).
-This can be set in the configuration or in the strategy. Configuration overwrites strategy configurations.
-
-If this is configured, all 4 values (`"buy"`, `"sell"`, `"stoploss"` and `"stoploss_on_exchange"`) need to be present, otherwise the bot warn about it and will fail to start.
-The below is the default which is used if this is not configured in either Strategy or configuration.
-
-```python
-"order_types": {
-    "buy": "limit",
-    "sell": "limit",
-    "stoploss": "market",
-    "stoploss_on_exchange": False,
-    "stoploss_on_exchange_interval": 60
-},
-```
-
-!!! Note
-    Not all exchanges support "market" orders.
-    The following message will be shown if your exchange does not support market orders: `"Exchange <yourexchange>  does not support market orders."`
-
-!!! Note
-    stoploss on exchange interval is not mandatory. Do not change it's value if you are unsure of what you are doing. For more information about how stoploss works please read [the stoploss documentation](stoploss.md).
-
-### Understand order_time_in_force
-`order_time_in_force` defines the policy by which the order is executed on the exchange. Three commonly used time in force are:<br/>
-**GTC (Goog Till Canceled):**
-This is most of the time the default time in force. It means the order will remain on exchange till it is canceled by user. It can be fully or partially fulfilled. If partially fulfilled, the remaining will stay on the exchange till cancelled.<br/>
-**FOK (Full Or Kill):**
-It means if the order is not executed immediately AND fully then it is canceled by the exchange.<br/>
-**IOC (Immediate Or Canceled):**
-It is the same as FOK (above) except it can be partially fulfilled. The remaining part is automatically cancelled by the exchange.
-<br/>
-`order_time_in_force` contains a dict buy and sell time in force policy. This can be set in the configuration or in the strategy. Configuration overwrites strategy configurations.<br/>
-possible values are: `gtc` (default), `fok` or `ioc`.<br/>
-``` python
-"order_time_in_force": {
-    "buy": "gtc",
-    "sell": "gtc"
-},
-```
-
-!!! Warning
-    This is an ongoing work. For now it is supported only for binance and only for buy orders. Please don't change the default value unless you know what you are doing.
-
-### What values for exchange.name?
-
-Freqtrade is based on [CCXT library](https://github.com/ccxt/ccxt) that supports 115 cryptocurrency
-exchange markets and trading APIs. The complete up-to-date list can be found in the
-[CCXT repo homepage](https://github.com/ccxt/ccxt/tree/master/python). However, the bot was tested
-with only Bittrex and Binance.
-
-The bot was tested with the following exchanges:
-
-- [Bittrex](https://bittrex.com/): "bittrex"
-- [Binance](https://www.binance.com/): "binance"
-
-Feel free to test other exchanges and submit your PR to improve the bot.
-
-### What values for fiat_display_currency?
-
-`fiat_display_currency` set the base currency to use for the conversion from coin to fiat in Telegram.
-The valid values are:<br/>
-```json
-"AUD", "BRL", "CAD", "CHF", "CLP", "CNY", "CZK", "DKK", "EUR", "GBP", "HKD", "HUF", "IDR", "ILS", "INR", "JPY", "KRW", "MXN", "MYR", "NOK", "NZD", "PHP", "PKR", "PLN", "RUB", "SEK", "SGD", "THB", "TRY", "TWD", "ZAR", "USD"
-```
-In addition to FIAT currencies, a range of cryto currencies are supported.
-The valid values are:
-```json
-"BTC", "ETH", "XRP", "LTC", "BCH", "USDT"
-```
-
-## Switch to dry-run mode
-
-We recommend starting the bot in dry-run mode to see how your bot will
-behave and how is the performance of your strategy. In Dry-run mode the
-bot does not engage your money. It only runs a live simulation without
-creating trades.
-
-1. Edit your `config.json`  file
-2. Switch dry-run to true and specify db_url for a persistent db
-
-```json
-"dry_run": true,
-"db_url": "sqlite:///tradesv3.dryrun.sqlite",
-```
-
-3. Remove your Exchange API key (change them by fake api credentials)
-
-```json
-"exchange": {
-        "name": "bittrex",
-        "key": "key",
-        "secret": "secret",
-        ...
-}
-```
-
-Once you will be happy with your bot performance, you can switch it to
-production mode.
-
-### Dynamic Pairlists
-
-Dynamic pairlists select pairs for you based on the logic configured.
-The bot runs against all pairs (with that stake) on the exchange, and a number of assets (`number_assets`) is selected based on the selected criteria.
-
-By default, a Static Pairlist is used (configured as `"pair_whitelist"` under the `"exchange"` section of this configuration).
-
-**Available Pairlist methods:**
-
-* `"StaticPairList"`
-  * uses configuration from `exchange.pair_whitelist` and `exchange.pair_blacklist`
-* `"VolumePairList"`
-  * Formerly available as `--dynamic-whitelist [<number_assets>]`
-  * Selects `number_assets` top pairs based on `sort_key`, which can be one of `askVolume`, `bidVolume` and `quoteVolume`, defaults to `quoteVolume`.
-
-```json
-"pairlist": {
-        "method": "VolumePairList",
-        "config": {
-            "number_assets": 20,
-            "sort_key": "quoteVolume"
-        }
-    },
-```
-
-## Switch to production mode
-
-In production mode, the bot will engage your money. Be careful a wrong
-strategy can lose all your money. Be aware of what you are doing when
-you run it in production mode.
-
-### To switch your bot in production mode
-
-**Edit your `config.json`  file.**
-
-**Switch dry-run to false and don't forget to adapt your database URL if set:**
-
-```json
-"dry_run": false,
-```
-
-**Insert your Exchange API key (change them by fake api keys):**
-
-```json
-"exchange": {
-        "name": "bittrex",
-        "key": "af8ddd35195e9dc500b9a6f799f6f5c93d89193b",
-        "secret": "08a9dc6db3d7b53e1acebd9275677f4b0a04f1a5",
-        ...
-}
-
-```
-!!! Note
-    If you have an exchange API key yet, [see our tutorial](/pre-requisite).
-
-### Using proxy with FreqTrade
-
-To use a proxy with freqtrade, add the kwarg `"aiohttp_trust_env"=true` to the `"ccxt_async_kwargs"` dict in the exchange section of the configuration.
-
-An example for this can be found in `config_full.json.example`
-
-``` json
-"ccxt_async_config": {
-    "aiohttp_trust_env": true
-}
-```
-
-Then, export your proxy settings using the variables `"HTTP_PROXY"` and `"HTTPS_PROXY"` set to the appropriate values
-
-``` bash
-export HTTP_PROXY="http://addr:port"
-export HTTPS_PROXY="http://addr:port"
-freqtrade
-```
-
-
-### Embedding Strategies
-
-FreqTrade provides you with with an easy way to embed the strategy into your configuration file.
-This is done by utilizing BASE64 encoding and providing this string at the strategy configuration field,
-in your chosen config file.
-
-#### Encoding a string as BASE64
-
-This is a quick example, how to generate the BASE64 string in python
-
-```python
-from base64 import urlsafe_b64encode
-
-with open(file, 'r') as f:
-    content = f.read()
-content = urlsafe_b64encode(content.encode('utf-8'))
-```
-
-The variable 'content', will contain the strategy file in a BASE64 encoded form. Which can now be set in your configurations file as following
-
-```json
-"strategy": "NameOfStrategy:BASE64String"
-```
-
-Please ensure that 'NameOfStrategy' is identical to the strategy name!
-
-## Next step
-
-Now you have configured your config.json, the next step is to [start your bot](bot-usage.md).

docs/developer.md

@@ -1,117 +0,0 @@
-# Development Help
-
-This page is intended for developers of FreqTrade, people who want to contribute to the FreqTrade codebase or documentation, or people who want to understand the source code of the application they're running.
-
-All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome. We [track issues](https://github.com/freqtrade/freqtrade/issues) on [GitHub](https://github.com) and also have a dev channel in [slack](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE) where you can ask questions.
-
-## Documentation
-
-Documentation is available at [https://freqtrade.io](https://www.freqtrade.io/) and needs to be provided with every new feature PR.
-
-Special fields for the documentation (like Note boxes, ...) can be found [here](https://squidfunk.github.io/mkdocs-material/extensions/admonition/).
-
-## Developer setup
-
-To configure a development environment, use best use the `setup.sh` script and answer "y" when asked "Do you want to install dependencies for dev [y/N]? ".
-Alternatively (if your system is not supported by the setup.sh script), follow the manual installation process and run `pip3 install -r requirements-dev.txt`.
-
-This will install all required tools for development, including `pytest`, `flake8`, `mypy`, and `coveralls`.
-
-## Modules
-
-### Dynamic Pairlist
-
-You have a great idea for a new pair selection algorithm you would like to try out? Great.
-Hopefully you also want to contribute this back upstream.
-
-Whatever your motivations are - This should get you off the ground in trying to develop a new Pairlist provider.
-
-First of all, have a look at the [VolumePairList](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/pairlist/VolumePairList.py) provider, and best copy this file with a name of your new Pairlist Provider.
-
-This is a simple provider, which however serves as a good example on how to start developing.
-
-Next, modify the classname of the provider (ideally align this with the Filename).
-
-The base-class provides the an instance of the bot (`self._freqtrade`), as well as the configuration (`self._config`), and initiates both `_blacklist` and `_whitelist`.
-
-```python
-        self._freqtrade = freqtrade
-        self._config = config
-        self._whitelist = self._config['exchange']['pair_whitelist']
-        self._blacklist = self._config['exchange'].get('pair_blacklist', [])
-```
-
-
-Now, let's step through the methods which require actions:
-
-#### configuration
-
-Configuration for PairListProvider is done in the bot configuration file in the element `"pairlist"`.
-This Pairlist-object may contain a `"config"` dict with additional configurations for the configured pairlist.
-By convention, `"number_assets"` is used to specify the maximum number of pairs to keep in the whitelist. Please follow this to ensure a consistent user experience.
-
-Additional elements can be configured as needed. `VolumePairList` uses `"sort_key"` to specify the sorting value - however feel free to specify whatever is necessary for your great algorithm to be successfull and dynamic.
-
-#### short_desc
-
-Returns a description used for Telegram messages.
-This should contain the name of the Provider, as well as a short description containing the number of assets. Please follow the format `"PairlistName - top/bottom X pairs"`.
-
-#### refresh_pairlist
-
-Override this method and run all calculations needed in this method.
-This is called with each iteration of the bot - so consider implementing caching for compute/network heavy calculations.
-
-Assign the resulting whiteslist to `self._whitelist` and `self._blacklist` respectively. These will then be used to run the bot in this iteration. Pairs with open trades will be added to the whitelist to have the sell-methods run correctly.
-
-Please also run `self._validate_whitelist(pairs)` and to check and remove pairs with inactive markets. This function is available in the Parent class (`StaticPairList`) and should ideally not be overwritten.
-
-##### sample
-
-``` python
-    def refresh_pairlist(self) -> None:
-        # Generate dynamic whitelist
-        pairs = self._gen_pair_whitelist(self._config['stake_currency'], self._sort_key)
-        # Validate whitelist to only have active market pairs
-        self._whitelist = self._validate_whitelist(pairs)[:self._number_pairs]
-```
-
-#### _gen_pair_whitelist
-
-This is a simple method used by `VolumePairList` - however serves as a good example.
-It implements caching (`@cached(TTLCache(maxsize=1, ttl=1800))`) as well as a configuration option to allow different (but similar) strategies to work with the same PairListProvider.
-
-## Creating a release
-
-This part of the documentation is aimed at maintainers, and shows how to create a release.
-
-### create release branch
-
-``` bash
-# make sure you're in develop branch
-git checkout develop
-
-# create new branch
-git checkout -b new_release
-```
-
-* edit `freqtrade/__init__.py` and add the desired version (for example `0.18.0`)
-* Commit this part
-* push that branch to the remote and create a PR
-
-### create changelog from git commits
-
-``` bash
-# Needs to be done before merging / pulling that branch.
-git log --oneline --no-decorate --no-merges master..develop
-```
-
-### Create github release / tag
-
-* Use the version-number specified as tag. 
-* Use "master" as reference (this step comes after the above PR is merged).
-* use the above changelog as release comment (as codeblock)
-
-### After-release
-
-* update version in develop to next valid version and postfix that with `-dev` (`0.18.0 -> 0.18.1-dev`)

docs/edge.md

@@ -1,212 +0,0 @@
-#  Edge positioning
-
-This page explains how to use Edge Positioning module in your bot in order to enter into a trade only if the trade has a reasonable win rate and risk reward ratio, and consequently adjust your position size and stoploss.
-
-!!! Warning
-    Edge positioning is not compatible with dynamic whitelist. it overrides dynamic whitelist.
-
-!!! Note
-    Edge won't consider anything else than buy/sell/stoploss signals. So trailing stoploss, ROI, and everything else will be ignored in its calculation.
-
-## Introduction
-Trading is all about probability. No one can claim that he has a strategy working all the time. You have to assume that sometimes you lose.<br/><br/>
-But it doesn't mean there is no rule, it only means rules should work "most of the time". Let's play a game: we toss a coin, heads: I give you 10$, tails: You give me 10$. Is it an interesting game ? no, it is quite boring, isn't it?<br/><br/>
-But let's say the probability that we have heads is 80%, and the probability that we have tails is 20%. Now it is becoming interesting ...
-That means 10$ x 80% versus 10$ x 20%. 8$ versus 2$. That means over time you will win 8$ risking only 2$ on each toss of coin.<br/><br/>
-Let's complicate it more: you win 80% of the time but only 2$, I win 20% of the time but 8$. The calculation is: 80% * 2$ versus 20% * 8$. It is becoming boring again because overtime you win $1.6$ (80% x 2$) and me $1.6 (20% * 8$) too.<br/><br/>
-The question is: How do you calculate that? how do you know if you wanna play?
-The answer comes to two factors:
-- Win Rate
-- Risk Reward Ratio
-
-
-### Win Rate
-Means over X trades what is the percentage of winning trades to total number of trades (note that we don't consider how much you gained but only If you won or not).
-
-
-`W = (Number of winning trades) / (Total number of trades)`
-
-### Risk Reward Ratio
-Risk Reward Ratio is a formula used to measure the expected gains of a given investment against the risk of loss. It is basically what you potentially win divided by what you potentially lose:
-
-`R = Profit / Loss`
-
-Over time, on many trades, you can calculate your risk reward by dividing your average profit on winning trades by your average loss on losing trades:
-
-`Average profit = (Sum of profits) / (Number of winning trades)`
-
-`Average loss = (Sum of losses) / (Number of losing trades)`
-
-`R = (Average profit) / (Average loss)`
-
-### Expectancy
-
-At this point we can combine W and R to create an expectancy ratio. This is a simple process of multiplying the risk reward ratio by the percentage of winning trades, and subtracting the percentage of losing trades, which is calculated as follows:
-
-Expectancy Ratio = (Risk Reward Ratio x Win Rate) – Loss Rate
-
-So lets say your Win rate is 28% and your Risk Reward Ratio is 5:
-
-`Expectancy = (5 * 0.28) - 0.72 = 0.68`
-
-Superficially, this means that on average you expect this strategy’s trades to return .68 times the size of your losers. This is important for two reasons: First, it may seem obvious, but you know right away that you have a positive return. Second, you now have a number you can compare to other candidate systems to make decisions about which ones you employ.
-
-It is important to remember that any system with an expectancy greater than 0 is profitable using past data. The key is finding one that will be profitable in the future.
-
-You can also use this number to evaluate the effectiveness of modifications to this system.
-
-**NOTICE:** It's important to keep in mind that Edge is testing your expectancy using historical data , there's no guarantee that you will have a similar edge in the future. It's still vital to do this testing in order to build confidence in your methodology, but be wary of "curve-fitting" your approach to the historical data as things are unlikely to play out the exact same way for future trades.
-
-## How does it work?
-If enabled in config, Edge will go through historical data with a range of stoplosses in order to find buy and sell/stoploss signals. It then calculates win rate and expectancy over X trades for each stoploss. Here is an example:
-
-| Pair   |      Stoploss      |  Win Rate | Risk Reward Ratio | Expectancy |
-|----------|:-------------:|-------------:|------------------:|-----------:|
-| XZC/ETH  |  -0.03        |   0.52       |1.359670           | 0.228      |
-| XZC/ETH  |  -0.01        |   0.50       |1.176384           | 0.088      |
-| XZC/ETH  |  -0.02        |   0.51       |1.115941           | 0.079      |
-
-The goal here is to find the best stoploss for the strategy in order to have the maximum expectancy. In the above example stoploss at 3% leads to the maximum expectancy according to historical data.
-
-Edge then forces stoploss to your strategy dynamically.
-
-### Position size
-Edge dictates the stake amount for each trade to the bot according to the following factors:
-
-- Allowed capital at risk
-- Stoploss
-
-Allowed capital at risk is calculated as follows:
-
-**allowed capital at risk** = **capital_available_percentage** X **allowed risk per trade**
-
-**Stoploss** is calculated as described above against historical data.
-
-Your position size then will be:
-
-**position size** = **allowed capital at risk** / **stoploss**
-
-Example:<br/>
-Let's say the stake currency is ETH and you have 10 ETH on the exchange, your **capital_available_percentage** is 50% and you would allow 1% of risk for each trade. thus your available capital for trading is **10 x 0.5 = 5 ETH** and allowed capital at risk would be **5 x 0.01 = 0.05 ETH**. <br/>
-Let's assume Edge has calculated that for **XLM/ETH** market your stoploss should be at 2%. So your position size will be **0.05 / 0.02 = 2.5ETH**.<br/>
-Bot takes a position of 2.5ETH on XLM/ETH (call it trade 1). Up next, you receive another buy signal while trade 1 is still open. This time on BTC/ETH market. Edge calculated stoploss for this market at 4%. So your position size would be 0.05 / 0.04 = 1.25ETH (call it trade 2).<br/>
-Note that available capital for trading didn’t change for trade 2 even if you had already trade 1. The available capital doesn’t mean the free amount on your wallet.<br/>
-Now you have two trades open. The Bot receives yet another buy signal for another market: **ADA/ETH**. This time the stoploss is calculated at 1%. So your position size is **0.05 / 0.01 = 5ETH**. But there are already 4ETH blocked in two previous trades. So the position size for this third trade would be 1ETH.<br/>
-Available capital doesn’t change before a position is sold. Let’s assume that trade 1 receives a sell signal and it is sold with a profit of 1ETH. Your total capital on exchange would be 11 ETH and the available capital for trading becomes 5.5ETH. <br/>
-So the Bot receives another buy signal for trade 4 with a stoploss at 2% then your position size would be **0.055 / 0.02 = 2.75**.
-
-## Configurations
-Edge has following configurations:
-
-#### enabled
-If true, then Edge will run periodically.<br/>
-(default to false)
-
-#### process_throttle_secs
-How often should Edge run in seconds? <br/>
-(default to 3600 so one hour)
-
-#### calculate_since_number_of_days
-Number of days of data against which Edge calculates Win Rate, Risk Reward and Expectancy
-Note that it downloads historical data so increasing this number would lead to slowing down the bot.<br/>
-(default to 7)
-
-#### capital_available_percentage
-This is the percentage of the total capital on exchange in stake currency. <br/>
-As an example if you have 10 ETH available in your wallet on the exchange and this value is 0.5 (which is 50%), then the bot will use a maximum amount of 5 ETH for trading and considers it as available capital.<br/>
-(default to 0.5)
-
-#### allowed_risk
-Percentage of allowed risk per trade.<br/>
-(default to 0.01 [1%])
-
-#### stoploss_range_min
-Minimum stoploss.<br/>
-(default to -0.01)
-
-#### stoploss_range_max
-Maximum stoploss.<br/>
-(default to -0.10)
-
-#### stoploss_range_step
-As an example if this is set to -0.01 then Edge will test the strategy for [-0.01, -0,02, -0,03 ..., -0.09, -0.10] ranges.
-Note than having a smaller step means having a bigger range which could lead to slow calculation. <br/>
-if you set this parameter to -0.001, you then slow down the Edge calculation by a factor of 10. <br/>
-(default to -0.01)
-
-#### minimum_winrate
-It filters pairs which don't have at least minimum_winrate.
-This comes handy if you want to be conservative and don't comprise win rate in favor of risk reward ratio.<br/>
-(default to 0.60)
-
-#### minimum_expectancy
-It filters paris which have an expectancy lower than this number .
-Having an expectancy of 0.20 means if you put 10$ on a trade you expect a 12$ return.<br/>
-(default to 0.20)
-
-#### min_trade_number
-When calculating W and R and E (expectancy) against historical data, you always want to have a minimum number of trades. The more this number is the more Edge is reliable. Having a win rate of 100% on a single trade doesn't mean anything at all. But having a win rate of 70% over past 100 trades means clearly something. <br/>
-(default to 10, it is highly recommended not to decrease this number)
-
-#### max_trade_duration_minute
-Edge will filter out trades with long duration. If a trade is profitable after 1 month, it is hard to evaluate the strategy based on it. But if most of trades are profitable and they have maximum duration of 30 minutes, then it is clearly a good sign.<br/>
-**NOTICE:** While configuring this value, you should take into consideration your ticker interval. as an example filtering out trades having duration less than one day for a strategy which has 4h interval does not make sense. default value is set assuming your strategy interval is relatively small (1m or 5m, etc).<br/>
-(default to 1 day, 1440 = 60 * 24)
-
-#### remove_pumps
-Edge will remove sudden pumps in a given market while going through historical data. However, given that pumps happen very often in crypto markets, we recommend you keep this off.<br/>
-(default to false)
-
-
-## Running Edge independently
-You can run Edge independently in order to see in details the result. Here is an example:
-```bash
-python3 ./freqtrade/main.py edge
-```
-
-An example of its output:
-
-| pair      |   stoploss |   win rate |   risk reward ratio |   required risk reward |   expectancy |   total number of trades |   average duration (min) |
-|:----------|-----------:|-----------:|--------------------:|-----------------------:|-------------:|-------------------------:|-------------------------:|
-| AGI/BTC   |      -0.02 |       0.64 |                5.86 |                   0.56 |         3.41 |                       14 |                       54 |
-| NXS/BTC   |      -0.03 |       0.64 |                2.99 |                   0.57 |         1.54 |                       11 |                       26 |
-| LEND/BTC  |      -0.02 |       0.82 |                2.05 |                   0.22 |         1.50 |                       11 |                       36 |
-| VIA/BTC   |      -0.01 |       0.55 |                3.01 |                   0.83 |         1.19 |                       11 |                       48 |
-| MTH/BTC   |      -0.09 |       0.56 |                2.82 |                   0.80 |         1.12 |                       18 |                       52 |
-| ARDR/BTC  |      -0.04 |       0.42 |                3.14 |                   1.40 |         0.73 |                       12 |                       42 |
-| BCPT/BTC  |      -0.01 |       0.71 |                1.34 |                   0.40 |         0.67 |                       14 |                       30 |
-| WINGS/BTC |      -0.02 |       0.56 |                1.97 |                   0.80 |         0.65 |                       27 |                       42 |
-| VIBE/BTC  |      -0.02 |       0.83 |                0.91 |                   0.20 |         0.59 |                       12 |                       35 |
-| MCO/BTC   |      -0.02 |       0.79 |                0.97 |                   0.27 |         0.55 |                       14 |                       31 |
-| GNT/BTC   |      -0.02 |       0.50 |                2.06 |                   1.00 |         0.53 |                       18 |                       24 |
-| HOT/BTC   |      -0.01 |       0.17 |                7.72 |                   4.81 |         0.50 |                      209 |                        7 |
-| SNM/BTC   |      -0.03 |       0.71 |                1.06 |                   0.42 |         0.45 |                       17 |                       38 |
-| APPC/BTC  |      -0.02 |       0.44 |                2.28 |                   1.27 |         0.44 |                       25 |                       43 |
-| NEBL/BTC  |      -0.03 |       0.63 |                1.29 |                   0.58 |         0.44 |                       19 |                       59 |
-
-### Update cached pairs with the latest data
-```bash
-python3 ./freqtrade/main.py edge --refresh-pairs-cached
-```
-
-### Precising stoploss range
-```bash
-python3 ./freqtrade/main.py edge --stoplosses=-0.01,-0.1,-0.001 #min,max,step
-```
-
-### Advanced use of timerange
-```bash
-python3 ./freqtrade/main.py edge --timerange=20181110-20181113
-```
-
-Doing --timerange=-200 will get the last 200 timeframes from your inputdata. You can also specify specific dates, or a range span indexed by start and stop.
-
-The full timerange specification:
-
-* Use last 123 tickframes of data: --timerange=-123
-* Use first 123 tickframes of data: --timerange=123-
-* Use tickframes from line 123 through 456: --timerange=123-456
-* Use tickframes till 2018/01/31: --timerange=-20180131
-* Use tickframes since 2018/01/31: --timerange=20180131-
-* Use tickframes since 2018/01/31 till 2018/03/01 : --timerange=20180131-20180301
-* Use tickframes between POSIX timestamps 1527595200 1527618600: --timerange=1527595200-1527618600

docs/faq.md

@@ -1,70 +0,0 @@
-# freqtrade FAQ
-
-#### I have waited 5 minutes, why hasn't the bot made any trades yet?!
-
-Depending on the buy strategy, the amount of whitelisted coins, the
-situation of the market etc, it can take up to hours to find good entry
-position for a trade. Be patient!
-
-#### I have made 12 trades already, why is my total profit negative?!
-
-I understand your disappointment but unfortunately 12 trades is just
-not enough to say anything. If you run backtesting, you can see that our
-current algorithm does leave you on the plus side, but that is after
-thousands of trades and even there, you will be left with losses on
-specific coins that you have traded tens if not hundreds of times. We
-of course constantly aim to improve the bot but it will _always_ be a
-gamble, which should leave you with modest wins on monthly basis but
-you can't say much from few trades.
-
-#### I’d like to change the stake amount. Can I just stop the bot with
-/stop and then change the config.json and run it again?
-
-Not quite. Trades are persisted to a database but the configuration is
-currently only read when the bot is killed and restarted. `/stop` more
-like pauses. You can stop your bot, adjust settings and start it again.
-
-#### I want to improve the bot with a new strategy
-
-That's great. We have a nice backtesting and hyperoptimizing setup. See
-the tutorial [here|Testing-new-strategies-with-Hyperopt](bot-usage.md#hyperopt-commands).
-
-#### Is there a setting to only SELL the coins being held and not
-perform anymore BUYS?
-
-You can use the `/forcesell all` command from Telegram.
-
-### How many epoch do I need to get a good Hyperopt result?
-Per default Hyperopts without `-e` or `--epochs` parameter will only
-run 100 epochs, means 100 evals of your triggers, guards, .... Too few
-to find a great result (unless if you are very lucky), so you probably
-have to run it for 10.000 or more. But it will take an eternity to
-compute.
-
-We recommend you to run it at least 10.000 epochs:
-```bash
-python3 ./freqtrade/main.py hyperopt -e 10000
-```
-
-or if you want intermediate result to see
-```bash
-for i in {1..100}; do python3 ./freqtrade/main.py hyperopt -e 100; done
-```
-
-#### Why it is so long to run hyperopt?
-Finding a great Hyperopt results takes time.
-
-If you wonder why it takes a while to find great hyperopt results
-
-This answer was written during the under the release 0.15.1, when we had
-:
-- 8 triggers
-- 9 guards: let's say we evaluate even 10 values from each
-- 1 stoploss calculation: let's say we want 10 values from that too to
-be evaluated
-
-The following calculation is still very rough and not very precise
-but it will give the idea. With only these triggers and guards there is
-already 8*10^9*10 evaluations. A roughly total of 80 billion evals.
-Did you run 100 000 evals? Congrats, you've done roughly 1 / 100 000 th
-of the search space.

docs/hyperopt.md

@@ -1,297 +0,0 @@
-# Hyperopt
-
-This page explains how to tune your strategy by finding the optimal
-parameters, a process called hyperparameter optimization. The bot uses several
-algorithms included in the `scikit-optimize` package to accomplish this. The
-search will burn all your CPU cores, make your laptop sound like a fighter jet
-and still take a long time.
-
-!!! Bug
-    Hyperopt will crash when used with only 1 CPU Core as found out in [Issue #1133](https://github.com/freqtrade/freqtrade/issues/1133)
-
-## Prepare Hyperopting
-
-Before we start digging into Hyperopt, we recommend you to take a look at
-an example hyperopt file located into [user_data/hyperopts/](https://github.com/freqtrade/freqtrade/blob/develop/user_data/hyperopts/test_hyperopt.py)
-
-Configuring hyperopt is similar to writing your own strategy, and many tasks will be similar and a lot of code can be copied across from the strategy.
-
-### Checklist on all tasks / possibilities in hyperopt
-
-Depending on the space you want to optimize, only some of the below are required.
-
-* fill `populate_indicators` - probably a copy from your strategy
-* fill `buy_strategy_generator` - for buy signal optimization
-* fill `indicator_space` - for buy signal optimzation
-* fill `sell_strategy_generator` - for sell signal optimization
-* fill `sell_indicator_space` - for sell signal optimzation
-* fill `roi_space` - for ROI optimization
-* fill `generate_roi_table` - for ROI optimization (if you need more than 3 entries)
-* fill `stoploss_space` - stoploss optimization
-* Optional but recommended
-  * copy `populate_buy_trend` from your strategy - otherwise default-strategy will be used
-  * copy `populate_sell_trend` from your strategy - otherwise default-strategy will be used
-
-### 1. Install a Custom Hyperopt File
-
-Put your hyperopt file into the folder`user_data/hyperopts`.
-
-Let assume you want a hyperopt file `awesome_hyperopt.py`:  
-Copy the file `user_data/hyperopts/sample_hyperopt.py` into `user_data/hyperopts/awesome_hyperopt.py`
-
-### 2. Configure your Guards and Triggers
-
-There are two places you need to change in your hyperopt file to add a new buy hyperopt for testing:
-
-- Inside `indicator_space()` - the parameters hyperopt shall be optimizing.
-- Inside `populate_buy_trend()` - applying the parameters.
-
-There you have two different types of indicators: 1. `guards` and 2. `triggers`.
-
-1. Guards are conditions like "never buy if ADX < 10", or never buy if current price is over EMA10.
-2. Triggers are ones that actually trigger buy in specific moment, like "buy when EMA5 crosses over EMA10" or "buy when close price touches lower bollinger band".
-
-Hyperoptimization will, for each eval round, pick one trigger and possibly
-multiple guards. The constructed strategy will be something like
-"*buy exactly when close price touches lower bollinger band, BUT only if
-ADX > 10*".
-
-If you have updated the buy strategy, ie. changed the contents of
-`populate_buy_trend()` method you have to update the `guards` and
-`triggers` hyperopts must use.
-
-#### Sell optimization
-
-Similar to the buy-signal above, sell-signals can also be optimized. 
-Place the corresponding settings into the following methods
-
-* Inside `sell_indicator_space()` - the parameters hyperopt shall be optimizing.
-* Inside `populate_sell_trend()` - applying the parameters.
-
-The configuration and rules are the same than for buy signals.
-To avoid naming collisions in the search-space, please prefix all sell-spaces with `sell-`.
-
-## Solving a Mystery
-
-Let's say you are curious: should you use MACD crossings or lower Bollinger
-Bands to trigger your buys. And you also wonder should you use RSI or ADX to
-help with those buy decisions. If you decide to use RSI or ADX, which values
-should I use for them? So let's use hyperparameter optimization to solve this
-mystery.
-
-We will start by defining a search space:
-
-```python
-    def indicator_space() -> List[Dimension]:
-        """
-        Define your Hyperopt space for searching strategy parameters
-        """
-        return [
-            Integer(20, 40, name='adx-value'),
-            Integer(20, 40, name='rsi-value'),
-            Categorical([True, False], name='adx-enabled'),
-            Categorical([True, False], name='rsi-enabled'),
-            Categorical(['bb_lower', 'macd_cross_signal'], name='trigger')
-        ]
-```
-
-Above definition says: I have five parameters I want you to randomly combine
-to find the best combination. Two of them are integer values (`adx-value`
-and `rsi-value`) and I want you test in the range of values 20 to 40.
-Then we have three category variables. First two are either `True` or `False`.
-We use these to either enable or disable the ADX and RSI guards. The last
-one we call `trigger` and use it to decide which buy trigger we want to use.
-
-So let's write the buy strategy using these values:
-
-``` python
-        def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
-            conditions = []
-            # GUARDS AND TRENDS
-            if 'adx-enabled' in params and params['adx-enabled']:
-                conditions.append(dataframe['adx'] > params['adx-value'])
-            if 'rsi-enabled' in params and params['rsi-enabled']:
-                conditions.append(dataframe['rsi'] < params['rsi-value'])
-
-            # TRIGGERS
-            if 'trigger' in params:
-                if params['trigger'] == 'bb_lower':
-                    conditions.append(dataframe['close'] < dataframe['bb_lowerband'])
-                if params['trigger'] == 'macd_cross_signal':
-                    conditions.append(qtpylib.crossed_above(
-                        dataframe['macd'], dataframe['macdsignal']
-                    ))
-
-            dataframe.loc[
-                reduce(lambda x, y: x & y, conditions),
-                'buy'] = 1
-
-            return dataframe
-
-        return populate_buy_trend
-```
-
-Hyperopting will now call this `populate_buy_trend` as many times you ask it (`epochs`)
-with different value combinations. It will then use the given historical data and make
-buys based on the buy signals generated with the above function and based on the results
-it will end with telling you which paramter combination produced the best profits.
-
-The search for best parameters starts with a few random combinations and then uses a
-regressor algorithm (currently ExtraTreesRegressor) to quickly find a parameter combination
-that minimizes the value of the objective function `calculate_loss` in `hyperopt.py`.
-
-The above setup expects to find ADX, RSI and Bollinger Bands in the populated indicators.
-When you want to test an indicator that isn't used by the bot currently, remember to
-add it to the `populate_indicators()` method in `hyperopt.py`.
-
-## Execute Hyperopt
-
-Once you have updated your hyperopt configuration you can run it.
-Because hyperopt tries a lot of combinations to find the best parameters it will take time you will have the result (more than 30 mins).
-
-We strongly recommend to use `screen` or `tmux` to prevent any connection loss.
-
-```bash
-python3 ./freqtrade/main.py --hyperopt <hyperoptname> -c config.json hyperopt -e 5000 --spaces all
-```
-
-Use  `<hyperoptname>` as the name of the custom hyperopt used.
-
-The `-e` flag will set how many evaluations hyperopt will do. We recommend
-running at least several thousand evaluations.
-
-The `--spaces all` flag determines that all possible parameters should be optimized. Possibilities are listed below.
-
-!!! Warning
-When switching parameters or changing configuration options, the file `user_data/hyperopt_results.pickle` should be removed. It's used to be able to continue interrupted calculations, but does not detect changes to settings or the hyperopt file.
-
-### Execute Hyperopt with Different Ticker-Data Source
-
-If you would like to hyperopt parameters using an alternate ticker data that
-you have on-disk, use the `--datadir PATH` option. Default hyperopt will
-use data from directory `user_data/data`.
-
-### Running Hyperopt with Smaller Testset
-
-Use the `--timerange` argument to change how much of the testset
-you want to use. The last N ticks/timeframes will be used.
-Example:
-
-```bash
-python3 ./freqtrade/main.py hyperopt --timerange -200
-```
-
-### Running Hyperopt with Smaller Search Space
-
-Use the `--spaces` argument to limit the search space used by hyperopt.
-Letting Hyperopt optimize everything is a huuuuge search space. Often it
-might make more sense to start by just searching for initial buy algorithm.
-Or maybe you just want to optimize your stoploss or roi table for that awesome
-new buy strategy you have.
-
-Legal values are:
-
-- `all`: optimize everything
-- `buy`: just search for a new buy strategy
-- `sell`: just search for a new sell strategy
-- `roi`: just optimize the minimal profit table for your strategy
-- `stoploss`: search for the best stoploss value
-- space-separated list of any of the above values for example `--spaces roi stoploss`
-
-## Understand the Hyperopt Result
-
-Once Hyperopt is completed you can use the result to create a new strategy.
-Given the following result from hyperopt:
-
-```
-Best result:
-   135 trades. Avg profit  0.57%. Total profit  0.03871918 BTC (0.7722Σ%). Avg duration 180.4 mins.
-with values:
-{    'adx-value': 44,
-     'rsi-value': 29,
-     'adx-enabled': False,
-     'rsi-enabled': True,
-     'trigger': 'bb_lower'}
-```
-
-You should understand this result like:
-
-- The buy trigger that worked best was `bb_lower`.
-- You should not use ADX because `adx-enabled: False`)
-- You should **consider** using the RSI indicator (`rsi-enabled: True` and the best value is `29.0` (`rsi-value: 29.0`)
-
-You have to look inside your strategy file into `buy_strategy_generator()`
-method, what those values match to.
-
-So for example you had `rsi-value: 29.0` so we would look at `rsi`-block, that translates to the following code block:
-
-```
-(dataframe['rsi'] < 29.0)
-```
-
-Translating your whole hyperopt result as the new buy-signal
-would then look like:
-
-```python
-def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
-    dataframe.loc[
-        (
-            (dataframe['rsi'] < 29.0) &  # rsi-value
-            dataframe['close'] < dataframe['bb_lowerband']  # trigger
-        ),
-        'buy'] = 1
-    return dataframe
-```
-
-### Understand Hyperopt ROI results
-
-If you are optimizing ROI, you're result will look as follows and include a ROI table.
-
-```
-Best result:
-   135 trades. Avg profit  0.57%. Total profit  0.03871918 BTC (0.7722Σ%). Avg duration 180.4 mins.
-with values:
-{   'adx-value': 44,
-    'rsi-value': 29,
-    'adx-enabled': false,
-    'rsi-enabled': True,
-    'trigger': 'bb_lower',
-    'roi_t1': 40,
-    'roi_t2': 57,
-    'roi_t3': 21,
-    'roi_p1': 0.03634636907306948,
-    'roi_p2': 0.055237357937802885,
-    'roi_p3': 0.015163796015548354,
-    'stoploss': -0.37996664668703606
-}
-ROI table:
-{   0: 0.10674752302642071,
-    21: 0.09158372701087236,
-    78: 0.03634636907306948,
-    118: 0}
-```
-
-This would translate to the following ROI table:
-
-``` python
- minimal_roi = {
-        "118": 0,
-        "78": 0.0363463,
-        "21": 0.0915,
-        "0": 0.106
-    }
-```
-
-### Validate backtest result
-
-Once the optimized strategy has been implemented into your strategy, you should backtest this strategy to make sure everything is working as expected.
-To archive the same results (number of trades, ...) than during hyperopt, please use the command line flag `--disable-max-market-positions`.
-This setting is the default for hyperopt for speed reasons. You can overwrite this in the configuration by setting `"position_stacking"=false` or by changing the relevant line in your hyperopt file [here](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/optimize/hyperopt.py#L283).
-
-!!! Note:
-Dry/live runs will **NOT** use position stacking - therefore it does make sense to also validate the strategy without this as it's closer to reality.
-
-## Next Step
-
-Now you have a perfect bot and want to control it from Telegram. Your
-next step is to learn the [Telegram usage](telegram-usage.md).

docs/index.md

@@ -1,67 +0,0 @@
-# Freqtrade
-[![Build Status](https://travis-ci.org/freqtrade/freqtrade.svg?branch=develop)](https://travis-ci.org/freqtrade/freqtrade)
-[![Coverage Status](https://coveralls.io/repos/github/freqtrade/freqtrade/badge.svg?branch=develop&service=github)](https://coveralls.io/github/freqtrade/freqtrade?branch=develop)
-[![Maintainability](https://api.codeclimate.com/v1/badges/5737e6d668200b7518ff/maintainability)](https://codeclimate.com/github/freqtrade/freqtrade/maintainability)
-
-<!-- Place this tag where you want the button to render. -->
-<a class="github-button" href="https://github.com/freqtrade/freqtrade" data-icon="octicon-star" data-size="large" aria-label="Star freqtrade/freqtrade on GitHub">Star</a>
-<!-- Place this tag where you want the button to render. -->
-<a class="github-button" href="https://github.com/freqtrade/freqtrade/fork" data-icon="octicon-repo-forked" data-size="large" aria-label="Fork freqtrade/freqtrade on GitHub">Fork</a>
-<!-- Place this tag where you want the button to render. -->
-<a class="github-button" href="https://github.com/freqtrade/freqtrade/archive/master.zip" data-icon="octicon-cloud-download" data-size="large" aria-label="Download freqtrade/freqtrade on GitHub">Download</a>
-<!-- Place this tag where you want the button to render. -->
-<a class="github-button" href="https://github.com/freqtrade" data-size="large" aria-label="Follow @freqtrade on GitHub">Follow @freqtrade</a>
-## Introduction
-Freqtrade is a cryptocurrency trading bot written in Python.
-
-!!! Danger "DISCLAIMER"
-    This software is for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.
-
-    Always start by running a trading bot in Dry-run and do not engage money before you understand how it works and what profit/loss you should expect.
-
-    We strongly recommend you to have coding and Python knowledge. Do not hesitate to read the source code and understand the mechanism of this bot.
-
-
-## Features
- - Based on Python 3.6+: For botting on any operating system - Windows, macOS and Linux
- - Persistence: Persistence is achieved through sqlite
- - Dry-run: Run the bot without playing money.
- - Backtesting: Run a simulation of your buy/sell strategy.
- - Strategy Optimization by machine learning: Use machine learning to optimize your buy/sell strategy parameters with real exchange data.
- - Edge position sizing Calculate your win rate, risk reward ratio, the best stoploss and adjust your position size before taking a position for each specific market. Learn more
- - Whitelist crypto-currencies: Select which crypto-currency you want to trade or use dynamic whitelists.
- - Blacklist crypto-currencies: Select which crypto-currency you want to avoid.
- - Manageable via Telegram: Manage the bot with Telegram
- - Display profit/loss in fiat: Display your profit/loss in 33 fiat.
- - Daily summary of profit/loss: Provide a daily summary of your profit/loss.
- - Performance status report: Provide a performance status of your current trades.
-
-
-## Requirements
-### Uptodate clock
-The clock must be accurate, syncronized to a NTP server very frequently to avoid problems with communication to the exchanges.
-
-### Hardware requirements
-To run this bot we recommend you a cloud instance with a minimum of:
-
-- 2GB RAM
-- 1GB disk space
-- 2vCPU
-
-### Software requirements
-- Python 3.6.x
-- pip
-- git
-- TA-Lib
-- virtualenv (Recommended)
-- Docker (Recommended)
-
-
-## Support
-Help / Slack
-For any questions not covered by the documentation or for further information about the bot, we encourage you to join our slack channel.
-
-Click [here](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE) to join Slack channel.
-
-## Ready to try?
-Begin by reading our installation guide [here](installation).

docs/installation.md

@@ -1,484 +0,0 @@
-# Installation
-This page explains how to prepare your environment for running the bot.
-
-## Prerequisite
-Before running your bot in production you will need to setup few
-external API. In production mode, the bot required valid Bittrex API
-credentials and a Telegram bot (optional but recommended).
-
-- [Setup your exchange account](#setup-your-exchange-account)
-- [Backtesting commands](#setup-your-telegram-bot)
-
-### Setup your exchange account
-*To be completed, please feel free to complete this section.*
-
-### Setup your Telegram bot
-The only things you need is a working Telegram bot and its API token.
-Below we explain how to create your Telegram Bot, and how to get your
-Telegram user id.
-
-### 1. Create your Telegram bot
-
-**1.1. Start a chat with https://telegram.me/BotFather**
-
-**1.2. Send the message `/newbot`. ** *BotFather response:*
-```
-Alright, a new bot. How are we going to call it? Please choose a name for your bot.
-```
-
-**1.3. Choose the public name of your bot (e.x. `Freqtrade bot`)**
-*BotFather response:*
-```
-Good. Now let's choose a username for your bot. It must end in `bot`. Like this, for example: TetrisBot or tetris_bot.
-```
-**1.4. Choose the name id of your bot (e.x "`My_own_freqtrade_bot`")**
-
-**1.5. Father bot will return you the token (API key)**<br/>
-Copy it and keep it you will use it for the config parameter `token`.
-*BotFather response:*
-```hl_lines="4"
-Done! Congratulations on your new bot. You will find it at t.me/My_own_freqtrade_bot. You can now add a description, about section and profile picture for your bot, see /help for a list of commands. By the way, when you've finished creating your cool bot, ping our Bot Support if you want a better username for it. Just make sure the bot is fully operational before you do this.
-
-Use this token to access the HTTP API:
-521095879:AAEcEZEL7ADJ56FtG_qD0bQJSKETbXCBCi0
-
-For a description of the Bot API, see this page: https://core.telegram.org/bots/api
-```
-**1.6. Don't forget to start the conversation with your bot, by clicking /START button**
-
-### 2. Get your user id
-**2.1. Talk to https://telegram.me/userinfobot**
-
-**2.2. Get your "Id", you will use it for the config parameter
-`chat_id`.**
-<hr/>
-## Quick start
-Freqtrade provides a Linux/MacOS script to install all dependencies and help you to configure the bot.
-
-```bash
-git clone git@github.com:freqtrade/freqtrade.git
-cd freqtrade
-git checkout develop
-./setup.sh --install
-```
-!!! Note
-    Windows installation is explained [here](#windows).
-<hr/>
-## Easy Installation - Linux Script
-
-If you are on Debian, Ubuntu or MacOS a freqtrade provides a script to Install, Update, Configure, and Reset your bot.
-
-```bash
-$ ./setup.sh
-usage:
-	-i,--install    Install freqtrade from scratch
-	-u,--update     Command git pull to update.
-	-r,--reset      Hard reset your develop/master branch.
-	-c,--config     Easy config generator (Will override your existing file).
-```
-
-** --install **
-
-This script will install everything you need to run the bot:
-
-* Mandatory software as: `Python3`, `ta-lib`, `wget`
-* Setup your virtualenv
-* Configure your `config.json` file
-
-This script is a combination of `install script` `--reset`, `--config`
-
-** --update **
-
-Update parameter will pull the last version of your current branch and update your virtualenv.
-
-** --reset **
-
-Reset parameter will hard reset your branch (only if you are on `master` or `develop`) and recreate your virtualenv.
-
-** --config **
-
-Config parameter is a `config.json` configurator. This script will ask you questions to setup your bot and create your `config.json`.
-
-------
-
-## Automatic Installation - Docker
-
-Start by downloading Docker for your platform:
-
-* [Mac](https://www.docker.com/products/docker#/mac)
-* [Windows](https://www.docker.com/products/docker#/windows)
-* [Linux](https://www.docker.com/products/docker#/linux)
-
-Once you have Docker installed, simply create the config file (e.g. `config.json`) and then create a Docker image for `freqtrade` using the Dockerfile in this repo.
-
-### 1. Prepare the Bot
-
-**1.1. Clone the git repository**
-
-Linux/Mac/Windows with WSL
-```bash
-git clone https://github.com/freqtrade/freqtrade.git
-```
-
-Windows with docker
-```bash
-git clone --config core.autocrlf=input https://github.com/freqtrade/freqtrade.git
-```
-
-**1.2. (Optional) Checkout the develop branch**
-
-```bash
-git checkout develop
-```
-
-**1.3. Go into the new directory**
-
-```bash
-cd freqtrade
-```
-
-**1.4. Copy `config.json.example` to `config.json`**
-
-```bash
-cp -n config.json.example config.json
-```
-
-> To edit the config please refer to the [Bot Configuration](configuration.md) page.
-
-**1.5. Create your database file *(optional - the bot will create it if it is missing)**
-
-Production
-
-```bash
-touch tradesv3.sqlite
-````
-
-Dry-Run
-
-```bash
-touch tradesv3.dryrun.sqlite
-```
-
-### 2. Download or build the docker image
-
-Either use the prebuilt image from docker hub - or build the image yourself if you would like more control on which version is used.
-
-Branches / tags available can be checked out on [Dockerhub](https://hub.docker.com/r/freqtradeorg/freqtrade/tags/).
-
-**2.1. Download the docker image**
-
-Pull the image from docker hub and (optionally) change the name of the image
-
-```bash
-docker pull freqtradeorg/freqtrade:develop
-# Optionally tag the repository so the run-commands remain shorter
-docker tag freqtradeorg/freqtrade:develop freqtrade
-```
-
-To update the image, simply run the above commands again and restart your running container.
-
-**2.2. Build the Docker image**
-
-```bash
-cd freqtrade
-docker build -t freqtrade .
-```
-
-If you are developing using Docker, use `Dockerfile.develop` to build a dev Docker image, which will also set up develop dependencies:
-
-```bash
-docker build -f ./Dockerfile.develop -t freqtrade-dev .
-```
-
-For security reasons, your configuration file will not be included in the image, you will need to bind mount it. It is also advised to bind mount an SQLite database file (see the "5. Run a restartable docker image" section) to keep it between  updates.
-
-### 3. Verify the Docker image
-
-After the build process you can verify that the image was created with:
-
-```bash
-docker images
-```
-
-### 4. Run the Docker image
-
-You can run a one-off container that is immediately deleted upon exiting with the following command (`config.json` must be in the current working directory):
-
-```bash
-docker run --rm -v /etc/localtime:/etc/localtime:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
-```
-
-There is known issue in OSX Docker versions after 17.09.1, whereby /etc/localtime cannot be shared causing Docker to not start. A work-around for this is to start with the following cmd.
-
-```bash
-docker run --rm -e TZ=`ls -la /etc/localtime | cut -d/ -f8-9` -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
-```
-
-More information on this docker issue and work-around can be read [here](https://github.com/docker/for-mac/issues/2396).
-
-In this example, the database will be created inside the docker instance and will be lost when you will refresh your image.
-
-### 5. Run a restartable docker image
-
-To run a restartable instance in the background (feel free to place your configuration and database files wherever it feels comfortable on your filesystem).
-
-**5.1. Move your config file and database**
-
-```bash
-mkdir ~/.freqtrade
-mv config.json ~/.freqtrade
-mv tradesv3.sqlite ~/.freqtrade
-```
-
-**5.2. Run the docker image**
-
-```bash
-docker run -d \
-  --name freqtrade \
-  -v /etc/localtime:/etc/localtime:ro \
-  -v ~/.freqtrade/config.json:/freqtrade/config.json \
-  -v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
-  freqtrade --db-url sqlite:///tradesv3.sqlite
-```
-
-!!! Note
-    db-url defaults to `sqlite:///tradesv3.sqlite` but it defaults to `sqlite://` if `dry_run=True` is being used.
-    To override this behaviour use a custom db-url value: i.e.: `--db-url sqlite:///tradesv3.dryrun.sqlite`
-
-### 6. Monitor your Docker instance
-
-You can then use the following commands to monitor and manage your container:
-
-```bash
-docker logs freqtrade
-docker logs -f freqtrade
-docker restart freqtrade
-docker stop freqtrade
-docker start freqtrade
-```
-
-For more information on how to operate Docker, please refer to the [official Docker documentation](https://docs.docker.com/).
-
-!!! Note
-    You do not need to rebuild the image for configuration changes, it will suffice to edit `config.json` and restart the container.
-
-### 7. Backtest with docker
-
-The following assumes that the above steps (1-4) have been completed successfully.
-Also, backtest-data should be available at `~/.freqtrade/user_data/`.
-
-```bash
-docker run -d \
-  --name freqtrade \
-  -v /etc/localtime:/etc/localtime:ro \
-  -v ~/.freqtrade/config.json:/freqtrade/config.json \
-  -v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
-  -v ~/.freqtrade/user_data/:/freqtrade/user_data/ \
-  freqtrade --strategy AwsomelyProfitableStrategy backtesting
-```
-
-Head over to the [Backtesting Documentation](backtesting.md) for more details.
-
-!!! Note
-    Additional parameters can be appended after the image name (`freqtrade` in the above example).
-
-------
-
-## Custom Installation
-
-We've included/collected install instructions for Ubuntu 16.04, MacOS, and Windows. These are guidelines and your success may vary with other distros.
-OS Specific steps are listed first, the [Common](#common) section below is necessary for all systems.
-
-### Requirements
-
-Click each one for install guide:
-
-* [Python >= 3.6.x](http://docs.python-guide.org/en/latest/starting/installation/)
-* [pip](https://pip.pypa.io/en/stable/installing/)
-* [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
-* [virtualenv](https://virtualenv.pypa.io/en/stable/installation/) (Recommended)
-* [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html)
-
-### Linux - Ubuntu 16.04
-
-#### Install Python 3.6, Git, and wget
-
-```bash
-sudo add-apt-repository ppa:jonathonf/python-3.6
-sudo apt-get update
-sudo apt-get install python3.6 python3.6-venv python3.6-dev build-essential autoconf libtool pkg-config make wget git
-```
-
-#### Raspberry Pi / Raspbian
-
-Before installing FreqTrade on a Raspberry Pi running the official Raspbian Image, make sure you have at least Python 3.6 installed. The default image only provides Python 3.5. Probably the easiest way to get a recent version of python is [miniconda](https://repo.continuum.io/miniconda/).
-
-The following assumes that miniconda3 is installed and available in your environment. Last miniconda3 installation file use python 3.4, we will update to python 3.6 on this installation.
-It's recommended to use (mini)conda for this as installation/compilation of `numpy`, `scipy` and `pandas` takes a long time.
-If you have installed it from (mini)conda, you can remove `numpy`, `scipy`, and `pandas` from `requirements.txt` before you install it with `pip`.
-
-Additional package to install on your Raspbian, `libffi-dev` required by cryptography (from python-telegram-bot).
-
-``` bash
-conda config --add channels rpi
-conda install python=3.6
-conda create -n freqtrade python=3.6
-conda activate freqtrade
-conda install scipy pandas numpy
-
-sudo apt install libffi-dev
-python3 -m pip install -r requirements.txt
-python3 -m pip install -e .
-```
-
-### MacOS
-
-#### Install Python 3.6, git and wget
-
-```bash
-brew install python3 git wget
-```
-
-### Common
-
-#### 1. Install TA-Lib
-
-Official webpage: https://mrjbq7.github.io/ta-lib/install.html
-
-```bash
-wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
-tar xvzf ta-lib-0.4.0-src.tar.gz
-cd ta-lib
-sed -i.bak "s|0.00000001|0.000000000000000001 |g" src/ta_func/ta_utility.h
-./configure --prefix=/usr/local
-make
-sudo make install
-cd ..
-rm -rf ./ta-lib*
-```
-
-!!! Note
-    An already downloaded version of ta-lib is included in the repository, as the sourceforge.net source seems to have problems frequently.
-
-#### 2. Setup your Python virtual environment (virtualenv)
-
-!!! Note
-    This step is optional but strongly recommended to keep your system organized
-
-```bash
-python3 -m venv .env
-source .env/bin/activate
-```
-
-#### 3. Install FreqTrade
-
-Clone the git repository:
-
-```bash
-git clone https://github.com/freqtrade/freqtrade.git
-
-```
-
-Optionally checkout the stable/master branch:
-
-```bash
-git checkout master
-```
-
-#### 4. Initialize the configuration
-
-```bash
-cd freqtrade
-cp config.json.example config.json
-```
-
-> *To edit the config please refer to [Bot Configuration](configuration.md).*
-
-#### 5. Install python dependencies
-
-``` bash
-pip3 install --upgrade pip
-pip3 install -r requirements.txt
-pip3 install -e .
-```
-
-#### 6. Run the Bot
-
-If this is the first time you run the bot, ensure you are running it in Dry-run `"dry_run": true,` otherwise it will start to buy and sell coins.
-
-```bash
-python3.6 ./freqtrade/main.py -c config.json
-```
-
-*Note*: If you run the bot on a server, you should consider using [Docker](#automatic-installation---docker) a terminal multiplexer like `screen` or [`tmux`](https://en.wikipedia.org/wiki/Tmux) to avoid that the bot is stopped on logout.
-
-#### 7. [Optional] Configure `freqtrade` as a `systemd` service
-
-From the freqtrade repo... copy `freqtrade.service` to your systemd user directory (usually `~/.config/systemd/user`) and update `WorkingDirectory` and `ExecStart` to match your setup.
-
-After that you can start the daemon with:
-
-```bash
-systemctl --user start freqtrade
-```
-
-For this to be persistent (run when user is logged out) you'll need to enable `linger` for your freqtrade user.
-
-```bash
-sudo loginctl enable-linger "$USER"
-```
-
-------
-
-## Windows
-
-We recommend that Windows users use [Docker](#docker) as this will work much easier and smoother (also more secure).
-
-If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work.
-If that is not available on your system, feel free to try the instructions below, which led to success for some.
-
-### Install freqtrade manually
-
-#### Clone the git repository
-
-```bash
-git clone https://github.com/freqtrade/freqtrade.git
-```
-
-copy paste `config.json` to ``\path\freqtrade-develop\freqtrade`
-
-#### Install ta-lib
-
-Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
-
-As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), there is also a repository of unofficial precompiled windows Wheels [here](https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib), which needs to be downloaded and installed using `pip install TA_Lib‑0.4.17‑cp36‑cp36m‑win32.whl` (make sure to use the version matching your python version)
-
-```cmd
->cd \path\freqtrade-develop
->python -m venv .env
->cd .env\Scripts
->activate.bat
->cd \path\freqtrade-develop
-REM optionally install ta-lib from wheel
-REM >pip install TA_Lib‑0.4.17‑cp36‑cp36m‑win32.whl
->pip install -r requirements.txt
->pip install -e .
->python freqtrade\main.py
-```
-
-> Thanks [Owdr](https://github.com/Owdr) for the commands. Source: [Issue #222](https://github.com/freqtrade/freqtrade/issues/222)
-
-#### Error during installation under Windows
-
-``` bash
-error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools
-```
-
-Unfortunately, many packages requiring compilation don't provide a pre-build wheel. It is therefore mandatory to have a C/C++ compiler installed and available for your python environment to use.
-
-The easiest way is to download install Microsoft Visual Studio Community [here](https://visualstudio.microsoft.com/downloads/) and make sure to install "Common Tools for Visual C++" to enable building c code on Windows. Unfortunately, this is a heavy download / dependency (~4Gb) so you might want to consider WSL or docker first.
-
----
-
-Now you have an environment ready, the next step is
-[Bot Configuration](configuration.md).

docs/partials/header.html

@@ -1,52 +0,0 @@
-<header class="md-header" data-md-component="header">
-    <nav class="md-header-nav md-grid">
-        <div class="md-flex">
-            <div class="md-flex__cell md-flex__cell--shrink">
-                <a href="{{ config.site_url | default(nav.homepage.url, true) | url }}" title="{{ config.site_name }}"
-                    class="md-header-nav__button md-logo">
-                    {% if config.theme.logo.icon %}
-                    <i class="md-icon">{{ config.theme.logo.icon }}</i>
-                    {% else %}
-                    <img src="{{ config.theme.logo | url }}" width="24" height="24">
-                    {% endif %}
-                </a>
-            </div>
-            <div class="md-flex__cell md-flex__cell--shrink">
-                <label class="md-icon md-icon--menu md-header-nav__button" for="__drawer"></label>
-            </div>
-            <div class="md-flex__cell md-flex__cell--stretch">
-                <div class="md-flex__ellipsis md-header-nav__title" data-md-component="title">
-                    {% block site_name %}
-                    {% if config.site_name == page.title %}
-                    {{ config.site_name }}
-                    {% else %}
-                    <span class="md-header-nav__topic">
-                        {{ config.site_name }}
-                    </span>
-                    <span class="md-header-nav__topic">
-                        {{ page.title }}
-                    </span>
-                    {% endif %}
-                    {% endblock %}
-                </div>
-            </div>
-            <div class="md-flex__cell md-flex__cell--shrink">
-                {% block search_box %}
-                {% if "search" in config["plugins"] %}
-                <label class="md-icon md-icon--search md-header-nav__button" for="__search"></label>
-                {% include "partials/search.html" %}
-                {% endif %}
-                {% endblock %}
-            </div>
-            {% if config.repo_url %}
-            <div class="md-flex__cell md-flex__cell--shrink">
-                <div class="md-header-nav__source">
-                    {% include "partials/source.html" %}
-                </div>
-            </div>
-            {% endif %}
-        </div>
-    </nav>
-    <!-- Place this tag in your head or just before your close body tag. -->
-    <script async defer src="https://buttons.github.io/buttons.js"></script>
-</header>

docs/plotting.md

@@ -1,88 +0,0 @@
-# Plotting
-This page explains how to plot prices, indicator, profits.
-
-## Installation
-
-Plotting scripts use Plotly library. Install/upgrade it with:
-
-```
-pip install --upgrade plotly
-```
-
-At least version 2.3.0 is required.
-
-## Plot price and indicators
-Usage for the price plotter:
-
-```
-script/plot_dataframe.py [-h] [-p pairs] [--live]
-```
-
-Example
-```
-python scripts/plot_dataframe.py -p BTC/ETH
-```
-
-The `-p` pairs argument, can be used to specify
-pairs you would like to plot.
-
-**Advanced use**
-
-To plot multiple pairs, separate them with a comma:
-```
-python scripts/plot_dataframe.py -p BTC/ETH,XRP/ETH
-```
-
-To plot the current live price use the `--live` flag:
-```
-python scripts/plot_dataframe.py -p BTC/ETH --live
-```
-
-To plot a timerange (to zoom in):
-```
-python scripts/plot_dataframe.py -p BTC/ETH --timerange=100-200
-```
-Timerange doesn't work with live data.
-
-To plot trades stored in a database use `--db-url` argument:
-```
-python scripts/plot_dataframe.py --db-url sqlite:///tradesv3.dry_run.sqlite -p BTC/ETH
-```
-
-To plot a test strategy the strategy should have first be backtested.
-The results may then be plotted with the -s argument:
-```
-python scripts/plot_dataframe.py -s Strategy_Name -p BTC/ETH --datadir user_data/data/<exchange_name>/
-```
-
-## Plot profit
-
-The profit plotter show a picture with three plots:
-1) Average closing price for all pairs
-2) The summarized profit made by backtesting.
-   Note that this is not the real-world profit, but
-   more of an estimate.
-3) Each pair individually profit
-
-The first graph is good to get a grip of how the overall market
-progresses.
-
-The second graph will show how you algorithm works or doesnt.
-Perhaps you want an algorithm that steadily makes small profits,
-or one that acts less seldom, but makes big swings.
-
-The third graph can be useful to spot outliers, events in pairs
-that makes profit spikes.
-
-Usage for the profit plotter:
-
-```
-script/plot_profit.py [-h] [-p pair] [--datadir directory] [--ticker_interval num]
-```
-
-The `-p` pair argument, can be used to plot a single pair
-
-Example
-```
-python3 scripts/plot_profit.py --datadir ../freqtrade/freqtrade/tests/testdata-20171221/ -p BTC_LTC
-```

docs/sandbox-testing.md

@@ -1,141 +0,0 @@
-# Sandbox API testing
-
-Where an exchange provides a sandbox for risk-free integration, or end-to-end, testing CCXT provides access to these.
-
-This document is a *light overview of configuring Freqtrade and GDAX sandbox.
-This can be useful to developers and trader alike as Freqtrade is quite customisable.
-
-When testing your API connectivity, make sure to use the following URLs.
-***Website**
-https://public.sandbox.gdax.com
-***REST API**
-https://api-public.sandbox.gdax.com
-
----
-
-# Configure a Sandbox account on Gdax
-
-Aim of this document section
-
-- An sanbox account
-- create 2FA (needed to create an API)
-- Add test 50BTC to account 
-- Create :
-- - API-KEY
-- - API-Secret
-- - API Password
-
-## Acccount
-
-This link will redirect to the sandbox main page to login / create account dialogues:
-https://public.sandbox.pro.coinbase.com/orders/
-
-After registration and Email confimation you wil be redirected into your sanbox account.  It is easy to verify you're in sandbox by checking the URL bar.
-> https://public.sandbox.pro.coinbase.com/
-
-## Enable 2Fa (a prerequisite to creating sandbox API Keys)
-
-From within sand box site select your profile, top right.
->Or as a direct link: https://public.sandbox.pro.coinbase.com/profile
-
-From the menu panel to the left of the screen select
-
-> Security: "*View or Update*"
-
-In the new site select "enable authenticator" as typical google Authenticator.
-
-- open Google Authenticator on your phone
-- scan barcode
-- enter your generated 2fa
-
-## Enable API Access
-
-From within sandbox select profile>api>create api-keys
->or as a direct link: https://public.sandbox.pro.coinbase.com/profile/api
-
-Click on "create one" and ensure  **view** and **trade**  are "checked" and sumbit your 2FA
-
-- **Copy and paste the Passphase** into a notepade this will be needed later
-- **Copy and paste the API Secret** popup into a notepad this will needed later
-- **Copy and paste the API Key** into a notepad this will needed later
-
-## Add 50 BTC test funds
-
-To add funds, use the web interface deposit and withdraw buttons.
-
-To begin select 'Wallets' from the top menu.
-> Or as a direct link: https://public.sandbox.pro.coinbase.com/wallets
-
-- Deposits (bottom left of screen)
-- - Deposit Funds Bitcoin
-- - - Coinbase BTC Wallet
-- - - - Max (50 BTC)
-- - - - - Deposit
-
-*This process may be repeated for other currencies, ETH as example*
-
----
-
-# Configure Freqtrade to use Gax Sandbox 
-
-The aim of this document section
-
-- Enable sandbox URLs in Freqtrade
-- Configure API
-- - secret
-- - key
-- - passphrase
- 
-## Sandbox URLs
-
-Freqtrade makes use of CCXT which in turn provides a list of URLs to Freqtrade.
-These include `['test']` and `['api']`.
-
-- `[Test]` if available will point to an Exchanges sandbox. 
-- `[Api]` normally used, and resolves to live API target on the exchange 
-
-To make use of sandbox / test add "sandbox": true, to your config.json
-
-```json
-  "exchange": {
-        "name": "gdax",
-        "sandbox": true,
-        "key": "5wowfxemogxeowo;heiohgmd",
-        "secret": "/ZMH1P62rCVmwefewrgcewX8nh4gob+lywxfwfxwwfxwfNsH1ySgvWCUR/w==",
-        "password": "1bkjfkhfhfu6sr",
-        "outdated_offset": 5
-        "pair_whitelist": [
-            "BTC/USD"
-```
-
-Also insert your 
-
-- api-key  (noted earlier)
-- api-secret (noted earlier)
-- password (the passphrase - noted earlier)
-
----
-
-## You should now be ready to test your sandbox
-
-Ensure Freqtrade logs show the sandbox URL, and trades made are shown in sandbox.
-** Typically the  BTC/USD has the most activity in sandbox to test against.
-
-## GDAX - Old Candles problem
-
-It is my experience that GDAX sandbox candles may be 20+- minutes out of date. This can cause trades to fail as one of Freqtrades safety checks.
-
-To disable this check, add / change the `"outdated_offset"` parameter in the exchange section of your configuration to adjust for this delay.
-Example based on the above configuration:
-
-```json
-  "exchange": {
-        "name": "gdax",
-        "sandbox": true,
-        "key": "5wowfxemogxeowo;heiohgmd",
-        "secret": "/ZMH1P62rCVmwefewrgcewX8nh4gob+lywxfwfxwwfxwfNsH1ySgvWCUR/w==",
-        "password": "1bkjfkhfhfu6sr",
-        "outdated_offset": 30
-        "pair_whitelist": [
-            "BTC/USD"
-```

docs/sql_cheatsheet.md

@@ -1,93 +0,0 @@
-# SQL Helper
-This page constains some help if you want to edit your sqlite db.
-
-## Install sqlite3
-**Ubuntu/Debian installation**
-```bash
-sudo apt-get install sqlite3
-```
-
-## Open the DB
-```bash
-sqlite3
-.open <filepath>
-```
-
-## Table structure
-
-### List tables
-```bash
-.tables
-```
-
-### Display table structure
-```bash
-.schema <table_name>
-```
-
-### Trade table structure
-```sql
-CREATE TABLE trades (
-	id INTEGER NOT NULL,
-	exchange VARCHAR NOT NULL,
-	pair VARCHAR NOT NULL,
-	is_open BOOLEAN NOT NULL,
-	fee_open FLOAT NOT NULL,
-	fee_close FLOAT NOT NULL,
-	open_rate FLOAT,
-	open_rate_requested FLOAT,
-	close_rate FLOAT,
-	close_rate_requested FLOAT,
-	close_profit FLOAT,
-	stake_amount FLOAT NOT NULL,
-	amount FLOAT,
-	open_date DATETIME NOT NULL,
-	close_date DATETIME,
-	open_order_id VARCHAR,
-	PRIMARY KEY (id),
-	CHECK (is_open IN (0, 1))
-);
-```
-
-## Get all trades in the table
-
-```sql
-SELECT * FROM trades;
-```
-
-## Fix trade still open after a /forcesell
-
-```sql
-UPDATE trades
-SET is_open=0, close_date=<close_date>, close_rate=<close_rate>, close_profit=close_rate/open_rate-1  
-WHERE id=<trade_ID_to_update>;
-```
-
-**Example:**
-```sql
-UPDATE trades
-SET is_open=0, close_date='2017-12-20 03:08:45.103418', close_rate=0.19638016, close_profit=0.0496  
-WHERE id=31;
-```
-
-## Insert manually a new trade
-
-```sql
-INSERT 
-INTO trades (exchange, pair, is_open, fee_open, fee_close, open_rate, stake_amount, amount, open_date) 
-VALUES ('BITTREX', 'BTC_<COIN>', 1, 0.0025, 0.0025, <open_rate>, <stake_amount>, <amount>, '<datetime>')
-```
-
-**Example:**
-```sql
-INSERT INTO trades (exchange, pair, is_open, fee_open, fee_close, open_rate, stake_amount, amount, open_date) VALUES ('BITTREX', 'BTC_ETC', 1, 0.0025, 0.0025, 0.00258580, 0.002, 0.7715262081, '2017-11-28 12:44:24.000000')
-```
-
-## Fix wrong fees in the table
-If your DB was created before 
-[PR#200](https://github.com/freqtrade/freqtrade/pull/200) was merged
-(before 12/23/17).
-
-```sql
-UPDATE trades SET fee=0.0025 WHERE fee=0.005;
-```

docs/stoploss.md

@@ -1,62 +0,0 @@
-# Stop Loss support
-
-At this stage the bot contains the following stoploss support modes:
-
-1. static stop loss, defined in either the strategy or configuration.
-2. trailing stop loss, defined in the configuration.
-3. trailing stop loss, custom positive loss, defined in configuration.
-
-!!! Note
-    All stoploss properties can be configured in either Strategy or configuration. Configuration values override strategy values.
-
-Those stoploss modes can be *on exchange* or *off exchange*. If the stoploss is *on exchange* it means a stoploss limit order is placed on the exchange immediately after buy order happens successfuly. This will protect you against sudden crashes in market as the order will be in the queue immediately and if market goes down then the order has more chance of being fulfilled.
-
-In case of stoploss on exchange there is another parameter called `stoploss_on_exchange_interval`. This configures the interval in seconds at which the bot will check the stoploss and update it if necessary. As an example in case of trailing stoploss if the order is on the exchange and the market is going up then the bot automatically cancels the previous stoploss order and put a new one with a stop value higher than previous one. It is clear that the bot cannot do it every 5 seconds otherwise it gets banned. So this parameter will tell the bot how often it should update the stoploss order. The default value is 60 (1 minute).
-
-!!! Note
-    Stoploss on exchange is only supported for Binance as of now.
-
-
-## Static Stop Loss
-
-This is very simple, basically you define a stop loss of x in your strategy file or alternative in the configuration, which
-will overwrite the strategy definition. This will basically try to sell your asset, the second the loss exceeds the defined loss.
-
-## Trail Stop Loss
-
-The initial value for this stop loss, is defined in your strategy or configuration. Just as you would define your Stop Loss normally.
-To enable this Feauture all you have to do is to define the configuration element:
-
-``` json
-"trailing_stop" : True
-```
-
-This will now activate an algorithm, which automatically moves your stop loss up every time the price of your asset increases.
-
-For example, simplified math,
-
-* you buy an asset at a price of 100$
-* your stop loss is defined at 2%
-* which means your stop loss, gets triggered once your asset dropped below 98$
-* assuming your asset now increases to 102$
-* your stop loss, will now be 2% of 102$ or 99.96$
-* now your asset drops in value to 101$, your stop loss, will still be 99.96$
-
-basically what this means is that your stop loss will be adjusted to be always be 2% of the highest observed price
-
-### Custom positive loss
-
-Due to demand, it is possible to have a default stop loss, when you are in the red with your buy, but once your profit surpasses a certain percentage,
-the system will utilize a new stop loss, which can be a different value. For example your default stop loss is 5%, but once you have 1.1% profit,
-it will be changed to be only a 1% stop loss, which trails the green candles until it goes below them.
-
-Both values can be configured in the main configuration file and requires `"trailing_stop": true` to be set to true.
-
-``` json
-    "trailing_stop_positive":  0.01,
-    "trailing_stop_positive_offset":  0.011,
-```
-
-The 0.01 would translate to a 1% stop loss, once you hit 1.1% profit.
-
-You should also make sure to have this value (`trailing_stop_positive_offset`) lower than your minimal ROI, otherwise minimal ROI will apply first and sell your trade.

docs/telegram-usage.md

@@ -1,148 +0,0 @@
-# Telegram usage
-
-This page explains how to command your bot with Telegram.
-
-## Prerequisite
-To control your bot with Telegram, you need first to
-[set up a Telegram bot](installation.md)
-and add your Telegram API keys into your config file.
-
-## Telegram commands
-Per default, the Telegram bot shows predefined commands. Some commands
-are only available by sending them to the bot. The table below list the
-official commands. You can ask at any moment for help with `/help`.
-
-|  Command | Default | Description |
-|----------|---------|-------------|
-| `/start` | | Starts the trader
-| `/stop` | | Stops the trader
-| `/reload_conf` | | Reloads the configuration file
-| `/status` | | Lists all open trades
-| `/status table` | | List all open trades in a table format
-| `/count` | | Displays number of trades used and available
-| `/profit` | | Display a summary of your profit/loss from close trades and some stats about your performance
-| `/forcesell <trade_id>` | | Instantly sells the given trade  (Ignoring `minimum_roi`).
-| `/forcesell all` | | Instantly sells all open trades (Ignoring `minimum_roi`).
-| `/forcebuy <pair> [rate]` | | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
-| `/performance` | | Show performance of each finished trade grouped by pair
-| `/balance` | | Show account balance per currency
-| `/daily <n>` | 7 | Shows profit or loss per day, over the last n days
-| `/help` | | Show help message
-| `/version` | | Show version
-
-## Telegram commands in action
-
-Below, example of Telegram message you will receive for each command.
-
-### /start
-
-> **Status:** `running`
-
-### /stop
-
-> `Stopping trader ...`
-> **Status:** `stopped`
-
-## /status
-
-For each open trade, the bot will send you the following message.
-
-> **Trade ID:** `123`
-> **Current Pair:** CVC/BTC
-> **Open Since:** `1 days ago`
-> **Amount:** `26.64180098`
-> **Open Rate:** `0.00007489`
-> **Close Rate:** `None`
-> **Current Rate:** `0.00007489`
-> **Close Profit:** `None`
-> **Current Profit:** `12.95%`
-> **Open Order:** `None`
-
-## /status table
-
-Return the status of all open trades in a table format.
-```
-   ID  Pair      Since    Profit
-----  --------  -------  --------
-  67  SC/BTC    1 d      13.33%
- 123  CVC/BTC   1 h      12.95%
-```
-
-## /count
-
-Return the number of trades used and available.
-```
-current    max
----------  -----
-     2     10
-```
-
-## /profit
-
-Return a summary of your profit/loss and performance.
-
-> **ROI:** Close trades
->   ∙ `0.00485701 BTC (258.45%)`
->   ∙ `62.968 USD`
-> **ROI:** All trades
->   ∙ `0.00255280 BTC (143.43%)`
->   ∙ `33.095 EUR`
->
-> **Total Trade Count:** `138`
-> **First Trade opened:** `3 days ago`
-> **Latest Trade opened:** `2 minutes ago`
-> **Avg. Duration:** `2:33:45`
-> **Best Performing:** `PAY/BTC: 50.23%`
-
-## /forcesell <trade_id>
-
-> **BITTREX:** Selling BTC/LTC with limit `0.01650000 (profit: ~-4.07%, -0.00008168)`
-
-## /forcebuy <pair>
-
-> **BITTREX**: Buying ETH/BTC with limit `0.03400000` (`1.000000 ETH`, `225.290 USD`)
-
-Note that for this to work, `forcebuy_enable` needs to be set to true.
-
-## /performance
-
-Return the performance of each crypto-currency the bot has sold.
-> Performance:
-> 1. `RCN/BTC 57.77%`
-> 2. `PAY/BTC 56.91%`
-> 3. `VIB/BTC 47.07%`
-> 4. `SALT/BTC 30.24%`
-> 5. `STORJ/BTC 27.24%`
-> ...
-
-## /balance
-
-Return the balance of all crypto-currency your have on the exchange.
-
-> **Currency:** BTC
-> **Available:** 3.05890234
-> **Balance:** 3.05890234
-> **Pending:** 0.0
-
-> **Currency:** CVC
-> **Available:** 86.64180098
-> **Balance:** 86.64180098
-> **Pending:** 0.0
-
-## /daily <n>
-
-Per default `/daily` will return the 7 last days.
-The example below if for `/daily 3`:
-
-> **Daily Profit over the last 3 days:**
-```
-Day         Profit BTC      Profit USD
-----------  --------------  ------------
-2018-01-03  0.00224175 BTC  29,142 USD
-2018-01-02  0.00033131 BTC   4,307 USD
-2018-01-01  0.00269130 BTC  34.986 USD
-```
-
-## /version
-
-> **Version:** `0.14.3`

docs/webhook-config.md

@@ -1,75 +0,0 @@
-# Webhook usage
-
-This page explains how to configure your bot to talk to webhooks.
-
-## Configuration
-
-Enable webhooks by adding a webhook-section to your configuration file, and setting `webhook.enabled` to `true`.
-
-Sample configuration (tested using IFTTT).
-
-```json
-  "webhook": {
-        "enabled": true,
-        "url": "https://maker.ifttt.com/trigger/<YOUREVENT>/with/key/<YOURKEY>/",
-        "webhookbuy": {
-            "value1": "Buying {pair}",
-            "value2": "limit {limit:8f}",
-            "value3": "{stake_amount:8f} {stake_currency}"
-        },
-        "webhooksell": {
-            "value1": "Selling {pair}",
-            "value2": "limit {limit:8f}",
-            "value3": "profit: {profit_amount:8f} {stake_currency}"
-        },
-        "webhookstatus": {
-            "value1": "Status: {status}",
-            "value2": "",
-            "value3": ""
-        }
-    },
-```
-
-The url in `webhook.url` should point to the correct url for your webhook. If you're using [IFTTT](https://ifttt.com) (as shown in the sample above) please insert our event and key to the url.
-
-Different payloads can be configured for different events. Not all fields are necessary, but you should configure at least one of the dicts, otherwise the webhook will never be called.
-
-### Webhookbuy
-
-The fields in `webhook.webhookbuy` are filled when the bot executes a buy. Parameters are filled using string.format.
-Possible parameters are:
-
-* exchange
-* pair
-* market_url
-* limit
-* stake_amount
-* stake_amount_fiat
-* stake_currency
-* fiat_currency
-
-### Webhooksell
-
-The fields in `webhook.webhooksell` are filled when the bot sells a trade. Parameters are filled using string.format.
-Possible parameters are:
-
-* exchange
-* pair
-* gain
-* market_url
-* limit
-* amount
-* open_rate
-* current_rate
-* profit_amount
-* profit_percent
-* profit_fiat
-* stake_currency
-* fiat_currency
-* sell_reason
-
-### Webhookstatus
-
-The fields in `webhook.webhookstatus` are used for regular status messages (Started / Stopped / ...). Parameters are filled using string.format.
-
-The only possible value here is `{status}`.

en/2019.10/404.html

@@ -0,0 +1,810 @@
+
+<!doctype html>
+<html lang="en" class="no-js">
+  <head>
+    
+      <meta charset="utf-8">
+      <meta name="viewport" content="width=device-width,initial-scale=1">
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+      
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+      
+      
+      
+      <link rel="icon" href="/assets/images/favicon.png">
+      <meta name="generator" content="mkdocs-1.6.0, mkdocs-material-9.5.30">
+    
+    
+      
+        <title>Freqtrade</title>
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+      <link rel="stylesheet" href="/assets/stylesheets/main.3cba04c6.min.css">
+      
+        
+        <link rel="stylesheet" href="/assets/stylesheets/palette.06af60db.min.css">
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+        <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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+        <style>:root{--md-text-font:"Roboto";--md-code-font:"Roboto Mono"}</style>
+      
+    
+    
+      <link rel="stylesheet" href="/stylesheets/ft.extra.css">
+    
+    <script>__md_scope=new URL("/",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
+    
+      
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+    
+  </head>
+  
+  
+    
+    
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+    
+    
+    <body dir="ltr" data-md-color-scheme="default" data-md-color-primary="blue-grey" data-md-color-accent="tear">
+  
+    
+    <input class="md-toggle" data-md-toggle="drawer" type="checkbox" id="__drawer" autocomplete="off">
+    <input class="md-toggle" data-md-toggle="search" type="checkbox" id="__search" autocomplete="off">
+    <label class="md-overlay" for="__drawer"></label>
+    <div data-md-component="skip">
+      
+    </div>
+    <div data-md-component="announce">
+      
+    </div>
+    
+      <div data-md-color-scheme="default" data-md-component="outdated" hidden>
+        
+      </div>
+    
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+
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+  <nav class="md-header__inner md-grid" aria-label="Header">
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+
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+      
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 6h18v2H3V6m0 5h18v2H3v-2m0 5h18v2H3v-2Z"/></svg>
+    </label>
+    <div class="md-header__title" data-md-component="header-title">
+      <div class="md-header__ellipsis">
+        <div class="md-header__topic">
+          <span class="md-ellipsis">
+            Freqtrade
+          </span>
+        </div>
+        <div class="md-header__topic" data-md-component="header-topic">
+          <span class="md-ellipsis">
+            
+              
+            
+          </span>
+        </div>
+      </div>
+    </div>
+    
+      
+    
+    
+    
+    
+      <label class="md-header__button md-icon" for="__search">
+        
+        <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
+      </label>
+      <div class="md-search" data-md-component="search" role="dialog">
+  <label class="md-search__overlay" for="__search"></label>
+  <div class="md-search__inner" role="search">
+    <form class="md-search__form" name="search">
+      <input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" required>
+      <label class="md-search__icon md-icon" for="__search">
+        
+        <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
+        
+        <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg>
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+      <nav class="md-search__options" aria-label="Search">
+        
+        <button type="reset" class="md-search__icon md-icon" title="Clear" aria-label="Clear" tabindex="-1">
+          
+          <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M19 6.41 17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41Z"/></svg>
+        </button>
+      </nav>
+      
+    </form>
+    <div class="md-search__output">
+      <div class="md-search__scrollwrap" tabindex="0" data-md-scrollfix>
+        <div class="md-search-result" data-md-component="search-result">
+          <div class="md-search-result__meta">
+            Initializing search
+          </div>
+          <ol class="md-search-result__list" role="presentation"></ol>
+        </div>
+      </div>
+    </div>
+  </div>
+</div>
+    
+    
+  </nav>
+  
+</header>
+    
+    <div class="md-container" data-md-component="container">
+      
+      
+        
+          
+        
+      
+      <main class="md-main" data-md-component="main">
+        <div class="md-main__inner md-grid">
+          
+            
+              
+              <div class="md-sidebar md-sidebar--primary" data-md-component="sidebar" data-md-type="navigation" >
+                <div class="md-sidebar__scrollwrap">
+                  <div class="md-sidebar__inner">
+                    
+
+
+
+<nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
+  <label class="md-nav__title" for="__drawer">
+    <a href="/." title="Freqtrade" class="md-nav__button md-logo" aria-label="Freqtrade" data-md-component="logo">
+      
+  <img src="/images/logo.png" alt="logo">
+
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+    Freqtrade
+  </label>
+  
+  <ul class="md-nav__list" data-md-scrollfix>
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/." class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    About
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/installation/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Installation
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/docker/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Installation Docker
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/configuration/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Configuration
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/strategy-customization/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Strategy Customization
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/stoploss/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Stoploss
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/bot-usage/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Start the bot
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    
+    
+    
+    
+    <li class="md-nav__item md-nav__item--nested">
+      
+        
+        
+        <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_8" >
+        
+          
+          <label class="md-nav__link" for="__nav_8" id="__nav_8_label" tabindex="0">
+            
+  
+  <span class="md-ellipsis">
+    Control the bot
+  </span>
+  
+
+            <span class="md-nav__icon md-icon"></span>
+          </label>
+        
+        <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_8_label" aria-expanded="false">
+          <label class="md-nav__title" for="__nav_8">
+            <span class="md-nav__icon md-icon"></span>
+            Control the bot
+          </label>
+          <ul class="md-nav__list" data-md-scrollfix>
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/telegram-usage/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Telegram
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/webhook-config/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Web Hook
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/rest-api/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    REST API
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+          </ul>
+        </nav>
+      
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/data-download/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Data Downloading
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/backtesting/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Backtesting
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/hyperopt/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Hyperopt
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/edge/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Edge Positioning
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/utils/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Utility Subcommands
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/faq/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    FAQ
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    
+    
+    
+    
+    <li class="md-nav__item md-nav__item--nested">
+      
+        
+        
+        <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_15" >
+        
+          
+          <label class="md-nav__link" for="__nav_15" id="__nav_15_label" tabindex="0">
+            
+  
+  <span class="md-ellipsis">
+    Data Analysis
+  </span>
+  
+
+            <span class="md-nav__icon md-icon"></span>
+          </label>
+        
+        <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_15_label" aria-expanded="false">
+          <label class="md-nav__title" for="__nav_15">
+            <span class="md-nav__icon md-icon"></span>
+            Data Analysis
+          </label>
+          <ul class="md-nav__list" data-md-scrollfix>
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/data-analysis/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Jupyter Notebooks
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/strategy_analysis_example/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Strategy analysis
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/plotting/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Plotting
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+          </ul>
+        </nav>
+      
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/sql_cheatsheet/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    SQL Cheatsheet
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/sandbox-testing/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Sandbox Testing
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/deprecated/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Deprecated Features
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="/developer/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Contributors Guide
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+  </ul>
+</nav>
+                  </div>
+                </div>
+              </div>
+            
+            
+              
+              <div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
+                <div class="md-sidebar__scrollwrap">
+                  <div class="md-sidebar__inner">
+                    
+
+<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
+  
+  
+  
+  
+</nav>
+                  </div>
+                </div>
+              </div>
+            
+          
+          
+            <div class="md-content" data-md-component="content">
+              <article class="md-content__inner md-typeset">
+                
+  <h1>404 - Not found</h1>
+
+              </article>
+            </div>
+          
+          
+<script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script>
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+    
+    
+      <script src="/assets/javascripts/bundle.fe8b6f2b.min.js"></script>
+      
+    
+  </body>
+</html>

en/2019.10/assets/javascripts/lunr/min/lunr.da.min.js

@@ -0,0 +1,18 @@
+/*!
+ * Lunr languages, `Danish` language
+ * https://github.com/MihaiValentin/lunr-languages
+ *
+ * Copyright 2014, Mihai Valentin
+ * http://www.mozilla.org/MPL/
+ */
+/*!
+ * based on
+ * Snowball JavaScript Library v0.3
+ * http://code.google.com/p/urim/
+ * http://snowball.tartarus.org/
+ *
+ * Copyright 2010, Oleg Mazko
+ * http://www.mozilla.org/MPL/
+ */
+
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.da=function(){this.pipeline.reset(),this.pipeline.add(e.da.trimmer,e.da.stopWordFilter,e.da.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.da.stemmer))},e.da.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.da.trimmer=e.trimmerSupport.generateTrimmer(e.da.wordCharacters),e.Pipeline.registerFunction(e.da.trimmer,"trimmer-da"),e.da.stemmer=function(){var r=e.stemmerSupport.Among,i=e.stemmerSupport.SnowballProgram,n=new function(){function e(){var e,r=f.cursor+3;if(d=f.limit,0<=r&&r<=f.limit){for(a=r;;){if(e=f.cursor,f.in_grouping(w,97,248)){f.cursor=e;break}if(f.cursor=e,e>=f.limit)return;f.cursor++}for(;!f.out_grouping(w,97,248);){if(f.cursor>=f.limit)return;f.cursor++}d=f.cursor,d<a&&(d=a)}}function n(){var e,r;if(f.cursor>=d&&(r=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,e=f.find_among_b(c,32),f.limit_backward=r,e))switch(f.bra=f.cursor,e){case 1:f.slice_del();break;case 2:f.in_grouping_b(p,97,229)&&f.slice_del()}}function t(){var e,r=f.limit-f.cursor;f.cursor>=d&&(e=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,f.find_among_b(l,4)?(f.bra=f.cursor,f.limit_backward=e,f.cursor=f.limit-r,f.cursor>f.limit_backward&&(f.cursor--,f.bra=f.cursor,f.slice_del())):f.limit_backward=e)}function s(){var e,r,i,n=f.limit-f.cursor;if(f.ket=f.cursor,f.eq_s_b(2,"st")&&(f.bra=f.cursor,f.eq_s_b(2,"ig")&&f.slice_del()),f.cursor=f.limit-n,f.cursor>=d&&(r=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,e=f.find_among_b(m,5),f.limit_backward=r,e))switch(f.bra=f.cursor,e){case 1:f.slice_del(),i=f.limit-f.cursor,t(),f.cursor=f.limit-i;break;case 2:f.slice_from("løs")}}function o(){var e;f.cursor>=d&&(e=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,f.out_grouping_b(w,97,248)?(f.bra=f.cursor,u=f.slice_to(u),f.limit_backward=e,f.eq_v_b(u)&&f.slice_del()):f.limit_backward=e)}var a,d,u,c=[new r("hed",-1,1),new r("ethed",0,1),new r("ered",-1,1),new r("e",-1,1),new r("erede",3,1),new r("ende",3,1),new r("erende",5,1),new r("ene",3,1),new r("erne",3,1),new r("ere",3,1),new r("en",-1,1),new r("heden",10,1),new r("eren",10,1),new r("er",-1,1),new r("heder",13,1),new r("erer",13,1),new r("s",-1,2),new r("heds",16,1),new r("es",16,1),new r("endes",18,1),new r("erendes",19,1),new r("enes",18,1),new r("ernes",18,1),new r("eres",18,1),new r("ens",16,1),new r("hedens",24,1),new r("erens",24,1),new r("ers",16,1),new r("ets",16,1),new r("erets",28,1),new r("et",-1,1),new r("eret",30,1)],l=[new r("gd",-1,-1),new r("dt",-1,-1),new r("gt",-1,-1),new r("kt",-1,-1)],m=[new r("ig",-1,1),new r("lig",0,1),new r("elig",1,1),new r("els",-1,1),new r("løst",-1,2)],w=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,48,0,128],p=[239,254,42,3,0,0,0,0,0,0,0,0,0,0,0,0,16],f=new i;this.setCurrent=function(e){f.setCurrent(e)},this.getCurrent=function(){return f.getCurrent()},this.stem=function(){var r=f.cursor;return e(),f.limit_backward=r,f.cursor=f.limit,n(),f.cursor=f.limit,t(),f.cursor=f.limit,s(),f.cursor=f.limit,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return n.setCurrent(e),n.stem(),n.getCurrent()}):(n.setCurrent(e),n.stem(),n.getCurrent())}}(),e.Pipeline.registerFunction(e.da.stemmer,"stemmer-da"),e.da.stopWordFilter=e.generateStopWordFilter("ad af alle alt anden at blev blive bliver da de dem den denne der deres det dette dig din disse dog du efter eller en end er et for fra ham han hans har havde have hende hendes her hos hun hvad hvis hvor i ikke ind jeg jer jo kunne man mange med meget men mig min mine mit mod ned noget nogle nu når og også om op os over på selv sig sin sine sit skal skulle som sådan thi til ud under var vi vil ville vor være været".split(" ")),e.Pipeline.registerFunction(e.da.stopWordFilter,"stopWordFilter-da")}});

en/2019.10/assets/javascripts/lunr/min/lunr.hi.min.js

@@ -0,0 +1 @@
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hi=function(){this.pipeline.reset(),this.pipeline.add(e.hi.trimmer,e.hi.stopWordFilter,e.hi.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.hi.stemmer))},e.hi.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿa-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.hi.trimmer=e.trimmerSupport.generateTrimmer(e.hi.wordCharacters),e.Pipeline.registerFunction(e.hi.trimmer,"trimmer-hi"),e.hi.stopWordFilter=e.generateStopWordFilter("अत अपना अपनी अपने अभी अंदर आदि आप इत्यादि इन इनका इन्हीं इन्हें इन्हों इस इसका इसकी इसके इसमें इसी इसे उन उनका उनकी उनके उनको उन्हीं उन्हें उन्हों उस उसके उसी उसे एक एवं एस ऐसे और कई कर करता करते करना करने करें कहते कहा का काफ़ी कि कितना किन्हें किन्हों किया किर किस किसी किसे की कुछ कुल के को कोई कौन कौनसा गया घर जब जहाँ जा जितना जिन जिन्हें जिन्हों जिस जिसे जीधर जैसा जैसे जो तक तब तरह तिन तिन्हें तिन्हों तिस तिसे तो था थी थे दबारा दिया दुसरा दूसरे दो द्वारा न नके नहीं ना निहायत नीचे ने पर पहले पूरा पे फिर बनी बही बहुत बाद बाला बिलकुल भी भीतर मगर मानो मे में यदि यह यहाँ यही या यिह ये रखें रहा रहे ऱ्वासा लिए लिये लेकिन व वग़ैरह वर्ग वह वहाँ वहीं वाले वुह वे वो सकता सकते सबसे सभी साथ साबुत साभ सारा से सो संग ही हुआ हुई हुए है हैं हो होता होती होते होना होने".split(" ")),e.hi.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.hi.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var t=i.toString().toLowerCase().replace(/^\s+/,"");return r.cut(t).split("|")},e.Pipeline.registerFunction(e.hi.stemmer,"stemmer-hi"),e.Pipeline.registerFunction(e.hi.stopWordFilter,"stopWordFilter-hi")}});

en/2019.10/assets/javascripts/lunr/min/lunr.hy.min.js

@@ -0,0 +1 @@
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hy=function(){this.pipeline.reset(),this.pipeline.add(e.hy.trimmer,e.hy.stopWordFilter)},e.hy.wordCharacters="[A-Za-z԰-֏ff-ﭏ]",e.hy.trimmer=e.trimmerSupport.generateTrimmer(e.hy.wordCharacters),e.Pipeline.registerFunction(e.hy.trimmer,"trimmer-hy"),e.hy.stopWordFilter=e.generateStopWordFilter("դու և եք էիր էիք հետո նաև նրանք որը վրա է որ պիտի են այս մեջ ն իր ու ի այդ որոնք այն կամ էր մի ես համար այլ իսկ էին ենք հետ ին թ էինք մենք նրա նա դուք եմ էի ըստ որպես ում".split(" ")),e.Pipeline.registerFunction(e.hy.stopWordFilter,"stopWordFilter-hy"),e.hy.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}(),e.Pipeline.registerFunction(e.hy.stemmer,"stemmer-hy")}});

en/2019.10/assets/javascripts/lunr/min/lunr.ja.min.js

@@ -0,0 +1 @@
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.ja=function(){this.pipeline.reset(),this.pipeline.add(e.ja.trimmer,e.ja.stopWordFilter,e.ja.stemmer),r?this.tokenizer=e.ja.tokenizer:(e.tokenizer&&(e.tokenizer=e.ja.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.ja.tokenizer))};var t=new e.TinySegmenter;e.ja.tokenizer=function(i){var n,o,s,p,a,u,m,l,c,f;if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t.toLowerCase()):t.toLowerCase()});for(o=i.toString().toLowerCase().replace(/^\s+/,""),n=o.length-1;n>=0;n--)if(/\S/.test(o.charAt(n))){o=o.substring(0,n+1);break}for(a=[],s=o.length,c=0,l=0;c<=s;c++)if(u=o.charAt(c),m=c-l,u.match(/\s/)||c==s){if(m>0)for(p=t.segment(o.slice(l,c)).filter(function(e){return!!e}),f=l,n=0;n<p.length;n++)r?a.push(new e.Token(p[n],{position:[f,p[n].length],index:a.length})):a.push(p[n]),f+=p[n].length;l=c+1}return a},e.ja.stemmer=function(){return function(e){return e}}(),e.Pipeline.registerFunction(e.ja.stemmer,"stemmer-ja"),e.ja.wordCharacters="一二三四五六七八九十百千万億兆一-龠々〆ヵヶぁ-んァ-ヴーｱ-ﾝﾞa-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.ja.trimmer=e.trimmerSupport.generateTrimmer(e.ja.wordCharacters),e.Pipeline.registerFunction(e.ja.trimmer,"trimmer-ja"),e.ja.stopWordFilter=e.generateStopWordFilter("これ それ あれ この その あの ここ そこ あそこ こちら どこ だれ なに なん 何 私 貴方 貴方方 我々 私達 あの人 あのかた 彼女 彼 です あります おります います は が の に を で え から まで より も どの と し それで しかし".split(" ")),e.Pipeline.registerFunction(e.ja.stopWordFilter,"stopWordFilter-ja"),e.jp=e.ja,e.Pipeline.registerFunction(e.jp.stemmer,"stemmer-jp"),e.Pipeline.registerFunction(e.jp.trimmer,"trimmer-jp"),e.Pipeline.registerFunction(e.jp.stopWordFilter,"stopWordFilter-jp")}});

en/2019.10/assets/javascripts/lunr/min/lunr.jp.min.js

@@ -0,0 +1 @@
+module.exports=require("./lunr.ja");

en/2019.10/assets/javascripts/lunr/min/lunr.kn.min.js

@@ -0,0 +1 @@
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.kn=function(){this.pipeline.reset(),this.pipeline.add(e.kn.trimmer,e.kn.stopWordFilter,e.kn.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.kn.stemmer))},e.kn.wordCharacters="ಀ-಄ಅ-ಔಕ-ಹಾ-ೌ಼-ಽೕ-ೖೝ-ೞೠ-ೡೢ-ೣ೤೥೦-೯ೱ-ೳ",e.kn.trimmer=e.trimmerSupport.generateTrimmer(e.kn.wordCharacters),e.Pipeline.registerFunction(e.kn.trimmer,"trimmer-kn"),e.kn.stopWordFilter=e.generateStopWordFilter("ಮತ್ತು ಈ ಒಂದು ರಲ್ಲಿ ಹಾಗೂ ಎಂದು ಅಥವಾ ಇದು ರ ಅವರು ಎಂಬ ಮೇಲೆ ಅವರ ತನ್ನ ಆದರೆ ತಮ್ಮ ನಂತರ ಮೂಲಕ ಹೆಚ್ಚು ನ ಆ ಕೆಲವು ಅನೇಕ ಎರಡು ಹಾಗು ಪ್ರಮುಖ ಇದನ್ನು ಇದರ ಸುಮಾರು ಅದರ ಅದು ಮೊದಲ ಬಗ್ಗೆ ನಲ್ಲಿ ರಂದು ಇತರ ಅತ್ಯಂತ ಹೆಚ್ಚಿನ ಸಹ ಸಾಮಾನ್ಯವಾಗಿ ನೇ ಹಲವಾರು ಹೊಸ ದಿ ಕಡಿಮೆ ಯಾವುದೇ ಹೊಂದಿದೆ ದೊಡ್ಡ ಅನ್ನು ಇವರು ಪ್ರಕಾರ ಇದೆ ಮಾತ್ರ ಕೂಡ ಇಲ್ಲಿ ಎಲ್ಲಾ ವಿವಿಧ ಅದನ್ನು ಹಲವು ರಿಂದ ಕೇವಲ ದ ದಕ್ಷಿಣ ಗೆ ಅವನ ಅತಿ ನೆಯ ಬಹಳ ಕೆಲಸ ಎಲ್ಲ ಪ್ರತಿ ಇತ್ಯಾದಿ ಇವು ಬೇರೆ ಹೀಗೆ ನಡುವೆ ಇದಕ್ಕೆ ಎಸ್ ಇವರ ಮೊದಲು ಶ್ರೀ ಮಾಡುವ ಇದರಲ್ಲಿ ರೀತಿಯ ಮಾಡಿದ ಕಾಲ ಅಲ್ಲಿ ಮಾಡಲು ಅದೇ ಈಗ ಅವು ಗಳು ಎ ಎಂಬುದು ಅವನು ಅಂದರೆ ಅವರಿಗೆ ಇರುವ ವಿಶೇಷ ಮುಂದೆ ಅವುಗಳ ಮುಂತಾದ ಮೂಲ ಬಿ ಮೀ ಒಂದೇ ಇನ್ನೂ ಹೆಚ್ಚಾಗಿ ಮಾಡಿ ಅವರನ್ನು ಇದೇ ಯ ರೀತಿಯಲ್ಲಿ ಜೊತೆ ಅದರಲ್ಲಿ ಮಾಡಿದರು ನಡೆದ ಆಗ ಮತ್ತೆ ಪೂರ್ವ ಆತ ಬಂದ ಯಾವ ಒಟ್ಟು ಇತರೆ ಹಿಂದೆ ಪ್ರಮಾಣದ ಗಳನ್ನು ಕುರಿತು ಯು ಆದ್ದರಿಂದ ಅಲ್ಲದೆ ನಗರದ ಮೇಲಿನ ಏಕೆಂದರೆ ರಷ್ಟು ಎಂಬುದನ್ನು ಬಾರಿ ಎಂದರೆ ಹಿಂದಿನ ಆದರೂ ಆದ ಸಂಬಂಧಿಸಿದ ಮತ್ತೊಂದು ಸಿ ಆತನ ".split(" ")),e.kn.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.kn.tokenizer=function(t){if(!arguments.length||null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var n=t.toString().toLowerCase().replace(/^\s+/,"");return r.cut(n).split("|")},e.Pipeline.registerFunction(e.kn.stemmer,"stemmer-kn"),e.Pipeline.registerFunction(e.kn.stopWordFilter,"stopWordFilter-kn")}});

en/2019.10/assets/javascripts/lunr/min/lunr.multi.min.js

@@ -0,0 +1 @@
+!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){e.multiLanguage=function(){for(var t=Array.prototype.slice.call(arguments),i=t.join("-"),r="",n=[],s=[],p=0;p<t.length;++p)"en"==t[p]?(r+="\\w",n.unshift(e.stopWordFilter),n.push(e.stemmer),s.push(e.stemmer)):(r+=e[t[p]].wordCharacters,e[t[p]].stopWordFilter&&n.unshift(e[t[p]].stopWordFilter),e[t[p]].stemmer&&(n.push(e[t[p]].stemmer),s.push(e[t[p]].stemmer)));var o=e.trimmerSupport.generateTrimmer(r);return e.Pipeline.registerFunction(o,"lunr-multi-trimmer-"+i),n.unshift(o),function(){this.pipeline.reset(),this.pipeline.add.apply(this.pipeline,n),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add.apply(this.searchPipeline,s))}}}});

en/2019.10/assets/javascripts/lunr/min/lunr.no.min.js

@@ -0,0 +1,18 @@
+/*!
+ * Lunr languages, `Norwegian` language
+ * https://github.com/MihaiValentin/lunr-languages
+ *
+ * Copyright 2014, Mihai Valentin
+ * http://www.mozilla.org/MPL/
+ */
+/*!
+ * based on
+ * Snowball JavaScript Library v0.3
+ * http://code.google.com/p/urim/
+ * http://snowball.tartarus.org/
+ *
+ * Copyright 2010, Oleg Mazko
+ * http://www.mozilla.org/MPL/
+ */
+
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.no=function(){this.pipeline.reset(),this.pipeline.add(e.no.trimmer,e.no.stopWordFilter,e.no.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.no.stemmer))},e.no.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.no.trimmer=e.trimmerSupport.generateTrimmer(e.no.wordCharacters),e.Pipeline.registerFunction(e.no.trimmer,"trimmer-no"),e.no.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,i=new function(){function e(){var e,r=w.cursor+3;if(a=w.limit,0<=r||r<=w.limit){for(s=r;;){if(e=w.cursor,w.in_grouping(d,97,248)){w.cursor=e;break}if(e>=w.limit)return;w.cursor=e+1}for(;!w.out_grouping(d,97,248);){if(w.cursor>=w.limit)return;w.cursor++}a=w.cursor,a<s&&(a=s)}}function i(){var e,r,n;if(w.cursor>=a&&(r=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,e=w.find_among_b(m,29),w.limit_backward=r,e))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:n=w.limit-w.cursor,w.in_grouping_b(c,98,122)?w.slice_del():(w.cursor=w.limit-n,w.eq_s_b(1,"k")&&w.out_grouping_b(d,97,248)&&w.slice_del());break;case 3:w.slice_from("er")}}function t(){var e,r=w.limit-w.cursor;w.cursor>=a&&(e=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,w.find_among_b(u,2)?(w.bra=w.cursor,w.limit_backward=e,w.cursor=w.limit-r,w.cursor>w.limit_backward&&(w.cursor--,w.bra=w.cursor,w.slice_del())):w.limit_backward=e)}function o(){var e,r;w.cursor>=a&&(r=w.limit_backward,w.limit_backward=a,w.ket=w.cursor,e=w.find_among_b(l,11),e?(w.bra=w.cursor,w.limit_backward=r,1==e&&w.slice_del()):w.limit_backward=r)}var s,a,m=[new r("a",-1,1),new r("e",-1,1),new r("ede",1,1),new r("ande",1,1),new r("ende",1,1),new r("ane",1,1),new r("ene",1,1),new r("hetene",6,1),new r("erte",1,3),new r("en",-1,1),new r("heten",9,1),new r("ar",-1,1),new r("er",-1,1),new r("heter",12,1),new r("s",-1,2),new r("as",14,1),new r("es",14,1),new r("edes",16,1),new r("endes",16,1),new r("enes",16,1),new r("hetenes",19,1),new r("ens",14,1),new r("hetens",21,1),new r("ers",14,1),new r("ets",14,1),new r("et",-1,1),new r("het",25,1),new r("ert",-1,3),new r("ast",-1,1)],u=[new r("dt",-1,-1),new r("vt",-1,-1)],l=[new r("leg",-1,1),new r("eleg",0,1),new r("ig",-1,1),new r("eig",2,1),new r("lig",2,1),new r("elig",4,1),new r("els",-1,1),new r("lov",-1,1),new r("elov",7,1),new r("slov",7,1),new r("hetslov",9,1)],d=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,48,0,128],c=[119,125,149,1],w=new n;this.setCurrent=function(e){w.setCurrent(e)},this.getCurrent=function(){return w.getCurrent()},this.stem=function(){var r=w.cursor;return e(),w.limit_backward=r,w.cursor=w.limit,i(),w.cursor=w.limit,t(),w.cursor=w.limit,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.no.stemmer,"stemmer-no"),e.no.stopWordFilter=e.generateStopWordFilter("alle at av bare begge ble blei bli blir blitt både båe da de deg dei deim deira deires dem den denne der dere deres det dette di din disse ditt du dykk dykkar då eg ein eit eitt eller elles en enn er et ett etter for fordi fra før ha hadde han hans har hennar henne hennes her hjå ho hoe honom hoss hossen hun hva hvem hver hvilke hvilken hvis hvor hvordan hvorfor i ikke ikkje ikkje ingen ingi inkje inn inni ja jeg kan kom korleis korso kun kunne kva kvar kvarhelst kven kvi kvifor man mange me med medan meg meget mellom men mi min mine mitt mot mykje ned no noe noen noka noko nokon nokor nokre nå når og også om opp oss over på samme seg selv si si sia sidan siden sin sine sitt sjøl skal skulle slik so som som somme somt så sånn til um upp ut uten var vart varte ved vere verte vi vil ville vore vors vort vår være være vært å".split(" ")),e.Pipeline.registerFunction(e.no.stopWordFilter,"stopWordFilter-no")}});

en/2019.10/assets/javascripts/lunr/min/lunr.sa.min.js

@@ -0,0 +1 @@
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.sa=function(){this.pipeline.reset(),this.pipeline.add(e.sa.trimmer,e.sa.stopWordFilter,e.sa.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.sa.stemmer))},e.sa.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿ꣠-꣱ꣲ-ꣷ꣸-ꣻ꣼-ꣽꣾ-ꣿᆰ0-ᆰ9",e.sa.trimmer=e.trimmerSupport.generateTrimmer(e.sa.wordCharacters),e.Pipeline.registerFunction(e.sa.trimmer,"trimmer-sa"),e.sa.stopWordFilter=e.generateStopWordFilter('तथा अयम्‌ एकम्‌ इत्यस्मिन्‌ तथा तत्‌ वा अयम्‌ इत्यस्य ते आहूत उपरि तेषाम्‌  किन्तु तेषाम्‌ तदा इत्यनेन अधिकः इत्यस्य तत्‌ केचन बहवः द्वि तथा महत्वपूर्णः अयम्‌ अस्य  विषये अयं अस्ति तत्‌ प्रथमः विषये इत्युपरि इत्युपरि इतर अधिकतमः अधिकः अपि सामान्यतया ठ इतरेतर नूतनम्‌ द  न्यूनम्‌ कश्चित्‌ वा विशालः द  सः अस्ति तदनुसारम् तत्र अस्ति केवलम्‌ अपि अत्र सर्वे विविधाः तत्‌ बहवः यतः इदानीम्‌ द  दक्षिण इत्यस्मै तस्य उपरि नथ अतीव कार्यम्‌ सर्वे एकैकम्‌ इत्यादि। एते सन्ति  उत इत्थम्‌ मध्ये एतदर्थं . स कस्य प्रथमः श्री. करोति अस्मिन् प्रकारः निर्मिता कालः तत्र कर्तुं  समान अधुना ते सन्ति स एकः अस्ति सः अर्थात् तेषां कृते . स्थितम्  विशेषः अग्रिम तेषाम्‌ समान स्रोतः ख म समान इदानीमपि अधिकतया करोतु ते समान इत्यस्य वीथी सह यस्मिन्  कृतवान्‌ धृतः तदा पुनः पूर्वं सः आगतः किम्‌ कुल इतर पुरा  मात्रा स विषये उ अतएव अपि नगरस्य  उपरि यतः प्रतिशतं  कतरः कालः साधनानि भूत तथापि जात सम्बन्धि अन्यत्‌ ग अतः अस्माकं स्वकीयाः अस्माकं इदानीं अन्तः इत्यादयः भवन्तः इत्यादयः एते एताः तस्य अस्य इदम् एते तेषां तेषां तेषां तान् तेषां तेषां तेषां समानः सः एकः च तादृशाः बहवः अन्ये च वदन्ति यत् कियत् कस्मै  कस्मै  यस्मै  यस्मै  यस्मै  यस्मै न अतिनीचः किन्तु प्रथमं सम्पूर्णतया  ततः चिरकालानन्तरं पुस्तकं सम्पूर्णतया अन्तः  किन्तु अत्र वा इह इव श्रद्धाय अवशिष्यते  परन्तु अन्ये वर्गाः सन्ति ते सन्ति शक्नुवन्ति सर्वे मिलित्वा सर्वे एकत्र"'.split(" ")),e.sa.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.sa.tokenizer=function(t){if(!arguments.length||null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var i=t.toString().toLowerCase().replace(/^\s+/,"");return r.cut(i).split("|")},e.Pipeline.registerFunction(e.sa.stemmer,"stemmer-sa"),e.Pipeline.registerFunction(e.sa.stopWordFilter,"stopWordFilter-sa")}});

en/2019.10/assets/javascripts/lunr/min/lunr.stemmer.support.min.js

@@ -0,0 +1 @@
+!function(r,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(r.lunr)}(this,function(){return function(r){r.stemmerSupport={Among:function(r,t,i,s){if(this.toCharArray=function(r){for(var t=r.length,i=new Array(t),s=0;s<t;s++)i[s]=r.charCodeAt(s);return i},!r&&""!=r||!t&&0!=t||!i)throw"Bad Among initialisation: s:"+r+", substring_i: "+t+", result: "+i;this.s_size=r.length,this.s=this.toCharArray(r),this.substring_i=t,this.result=i,this.method=s},SnowballProgram:function(){var r;return{bra:0,ket:0,limit:0,cursor:0,limit_backward:0,setCurrent:function(t){r=t,this.cursor=0,this.limit=t.length,this.limit_backward=0,this.bra=this.cursor,this.ket=this.limit},getCurrent:function(){var t=r;return r=null,t},in_grouping:function(t,i,s){if(this.cursor<this.limit){var e=r.charCodeAt(this.cursor);if(e<=s&&e>=i&&(e-=i,t[e>>3]&1<<(7&e)))return this.cursor++,!0}return!1},in_grouping_b:function(t,i,s){if(this.cursor>this.limit_backward){var e=r.charCodeAt(this.cursor-1);if(e<=s&&e>=i&&(e-=i,t[e>>3]&1<<(7&e)))return this.cursor--,!0}return!1},out_grouping:function(t,i,s){if(this.cursor<this.limit){var e=r.charCodeAt(this.cursor);if(e>s||e<i)return this.cursor++,!0;if(e-=i,!(t[e>>3]&1<<(7&e)))return this.cursor++,!0}return!1},out_grouping_b:function(t,i,s){if(this.cursor>this.limit_backward){var e=r.charCodeAt(this.cursor-1);if(e>s||e<i)return this.cursor--,!0;if(e-=i,!(t[e>>3]&1<<(7&e)))return this.cursor--,!0}return!1},eq_s:function(t,i){if(this.limit-this.cursor<t)return!1;for(var s=0;s<t;s++)if(r.charCodeAt(this.cursor+s)!=i.charCodeAt(s))return!1;return this.cursor+=t,!0},eq_s_b:function(t,i){if(this.cursor-this.limit_backward<t)return!1;for(var s=0;s<t;s++)if(r.charCodeAt(this.cursor-t+s)!=i.charCodeAt(s))return!1;return this.cursor-=t,!0},find_among:function(t,i){for(var s=0,e=i,n=this.cursor,u=this.limit,o=0,h=0,c=!1;;){for(var a=s+(e-s>>1),f=0,l=o<h?o:h,_=t[a],m=l;m<_.s_size;m++){if(n+l==u){f=-1;break}if(f=r.charCodeAt(n+l)-_.s[m])break;l++}if(f<0?(e=a,h=l):(s=a,o=l),e-s<=1){if(s>0||e==s||c)break;c=!0}}for(;;){var _=t[s];if(o>=_.s_size){if(this.cursor=n+_.s_size,!_.method)return _.result;var b=_.method();if(this.cursor=n+_.s_size,b)return _.result}if((s=_.substring_i)<0)return 0}},find_among_b:function(t,i){for(var s=0,e=i,n=this.cursor,u=this.limit_backward,o=0,h=0,c=!1;;){for(var a=s+(e-s>>1),f=0,l=o<h?o:h,_=t[a],m=_.s_size-1-l;m>=0;m--){if(n-l==u){f=-1;break}if(f=r.charCodeAt(n-1-l)-_.s[m])break;l++}if(f<0?(e=a,h=l):(s=a,o=l),e-s<=1){if(s>0||e==s||c)break;c=!0}}for(;;){var _=t[s];if(o>=_.s_size){if(this.cursor=n-_.s_size,!_.method)return _.result;var b=_.method();if(this.cursor=n-_.s_size,b)return _.result}if((s=_.substring_i)<0)return 0}},replace_s:function(t,i,s){var e=s.length-(i-t),n=r.substring(0,t),u=r.substring(i);return r=n+s+u,this.limit+=e,this.cursor>=i?this.cursor+=e:this.cursor>t&&(this.cursor=t),e},slice_check:function(){if(this.bra<0||this.bra>this.ket||this.ket>this.limit||this.limit>r.length)throw"faulty slice operation"},slice_from:function(r){this.slice_check(),this.replace_s(this.bra,this.ket,r)},slice_del:function(){this.slice_from("")},insert:function(r,t,i){var s=this.replace_s(r,t,i);r<=this.bra&&(this.bra+=s),r<=this.ket&&(this.ket+=s)},slice_to:function(){return this.slice_check(),r.substring(this.bra,this.ket)},eq_v_b:function(r){return this.eq_s_b(r.length,r)}}}},r.trimmerSupport={generateTrimmer:function(r){var t=new RegExp("^[^"+r+"]+"),i=new RegExp("[^"+r+"]+$");return function(r){return"function"==typeof r.update?r.update(function(r){return r.replace(t,"").replace(i,"")}):r.replace(t,"").replace(i,"")}}}}});

en/2019.10/assets/javascripts/lunr/min/lunr.sv.min.js

@@ -0,0 +1,18 @@
+/*!
+ * Lunr languages, `Swedish` language
+ * https://github.com/MihaiValentin/lunr-languages
+ *
+ * Copyright 2014, Mihai Valentin
+ * http://www.mozilla.org/MPL/
+ */
+/*!
+ * based on
+ * Snowball JavaScript Library v0.3
+ * http://code.google.com/p/urim/
+ * http://snowball.tartarus.org/
+ *
+ * Copyright 2010, Oleg Mazko
+ * http://www.mozilla.org/MPL/
+ */
+
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.sv=function(){this.pipeline.reset(),this.pipeline.add(e.sv.trimmer,e.sv.stopWordFilter,e.sv.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.sv.stemmer))},e.sv.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stＡ-Ｚａ-ｚ",e.sv.trimmer=e.trimmerSupport.generateTrimmer(e.sv.wordCharacters),e.Pipeline.registerFunction(e.sv.trimmer,"trimmer-sv"),e.sv.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,t=new function(){function e(){var e,r=w.cursor+3;if(o=w.limit,0<=r||r<=w.limit){for(a=r;;){if(e=w.cursor,w.in_grouping(l,97,246)){w.cursor=e;break}if(w.cursor=e,w.cursor>=w.limit)return;w.cursor++}for(;!w.out_grouping(l,97,246);){if(w.cursor>=w.limit)return;w.cursor++}o=w.cursor,o<a&&(o=a)}}function t(){var e,r=w.limit_backward;if(w.cursor>=o&&(w.limit_backward=o,w.cursor=w.limit,w.ket=w.cursor,e=w.find_among_b(u,37),w.limit_backward=r,e))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:w.in_grouping_b(d,98,121)&&w.slice_del()}}function i(){var e=w.limit_backward;w.cursor>=o&&(w.limit_backward=o,w.cursor=w.limit,w.find_among_b(c,7)&&(w.cursor=w.limit,w.ket=w.cursor,w.cursor>w.limit_backward&&(w.bra=--w.cursor,w.slice_del())),w.limit_backward=e)}function s(){var e,r;if(w.cursor>=o){if(r=w.limit_backward,w.limit_backward=o,w.cursor=w.limit,w.ket=w.cursor,e=w.find_among_b(m,5))switch(w.bra=w.cursor,e){case 1:w.slice_del();break;case 2:w.slice_from("lös");break;case 3:w.slice_from("full")}w.limit_backward=r}}var a,o,u=[new r("a",-1,1),new r("arna",0,1),new r("erna",0,1),new r("heterna",2,1),new r("orna",0,1),new r("ad",-1,1),new r("e",-1,1),new r("ade",6,1),new r("ande",6,1),new r("arne",6,1),new r("are",6,1),new r("aste",6,1),new r("en",-1,1),new r("anden",12,1),new r("aren",12,1),new r("heten",12,1),new r("ern",-1,1),new r("ar",-1,1),new r("er",-1,1),new r("heter",18,1),new r("or",-1,1),new r("s",-1,2),new r("as",21,1),new r("arnas",22,1),new r("ernas",22,1),new r("ornas",22,1),new r("es",21,1),new r("ades",26,1),new r("andes",26,1),new r("ens",21,1),new r("arens",29,1),new r("hetens",29,1),new r("erns",21,1),new r("at",-1,1),new r("andet",-1,1),new r("het",-1,1),new r("ast",-1,1)],c=[new r("dd",-1,-1),new r("gd",-1,-1),new r("nn",-1,-1),new r("dt",-1,-1),new r("gt",-1,-1),new r("kt",-1,-1),new r("tt",-1,-1)],m=[new r("ig",-1,1),new r("lig",0,1),new r("els",-1,1),new r("fullt",-1,3),new r("löst",-1,2)],l=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,24,0,32],d=[119,127,149],w=new n;this.setCurrent=function(e){w.setCurrent(e)},this.getCurrent=function(){return w.getCurrent()},this.stem=function(){var r=w.cursor;return e(),w.limit_backward=r,w.cursor=w.limit,t(),w.cursor=w.limit,i(),w.cursor=w.limit,s(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return t.setCurrent(e),t.stem(),t.getCurrent()}):(t.setCurrent(e),t.stem(),t.getCurrent())}}(),e.Pipeline.registerFunction(e.sv.stemmer,"stemmer-sv"),e.sv.stopWordFilter=e.generateStopWordFilter("alla allt att av blev bli blir blivit de dem den denna deras dess dessa det detta dig din dina ditt du där då efter ej eller en er era ert ett från för ha hade han hans har henne hennes hon honom hur här i icke ingen inom inte jag ju kan kunde man med mellan men mig min mina mitt mot mycket ni nu när någon något några och om oss på samma sedan sig sin sina sitta själv skulle som så sådan sådana sådant till under upp ut utan vad var vara varför varit varje vars vart vem vi vid vilka vilkas vilken vilket vår våra vårt än är åt över".split(" ")),e.Pipeline.registerFunction(e.sv.stopWordFilter,"stopWordFilter-sv")}});

en/2019.10/assets/javascripts/lunr/min/lunr.ta.min.js

@@ -0,0 +1 @@
+!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.ta=function(){this.pipeline.reset(),this.pipeline.add(e.ta.trimmer,e.ta.stopWordFilter,e.ta.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.ta.stemmer))},e.ta.wordCharacters="஀-உஊ-ஏஐ-ஙச-ட஠-னப-யர-ஹ஺-ிீ-௉ொ-௏ௐ-௙௚-௟௠-௩௪-௯௰-௹௺-௿a-zA-Zａ-ｚＡ-Ｚ0-9０-９",e.ta.trimmer=e.trimmerSupport.generateTrimmer(e.ta.wordCharacters),e.Pipeline.registerFunction(e.ta.trimmer,"trimmer-ta"),e.ta.stopWordFilter=e.generateStopWordFilter("அங்கு அங்கே அது அதை அந்த அவர் அவர்கள் அவள் அவன் அவை ஆக ஆகவே ஆகையால் ஆதலால் ஆதலினால் ஆனாலும் ஆனால் இங்கு இங்கே இது இதை இந்த இப்படி இவர் இவர்கள் இவள் இவன் இவை இவ்வளவு உனக்கு உனது உன் உன்னால் எங்கு எங்கே எது எதை எந்த எப்படி எவர் எவர்கள் எவள் எவன் எவை எவ்வளவு எனக்கு எனது எனவே என் என்ன என்னால் ஏது ஏன் தனது தன்னால் தானே தான் நாங்கள் நாம் நான் நீ நீங்கள்".split(" ")),e.ta.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.ta.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.ta.stemmer,"stemmer-ta"),e.Pipeline.registerFunction(e.ta.stopWordFilter,"stopWordFilter-ta")}});

en/2019.10/assets/javascripts/lunr/min/lunr.te.min.js

@@ -0,0 +1 @@
+!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.te=function(){this.pipeline.reset(),this.pipeline.add(e.te.trimmer,e.te.stopWordFilter,e.te.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.te.stemmer))},e.te.wordCharacters="ఀ-ఄఅ-ఔక-హా-ౌౕ-ౖౘ-ౚౠ-ౡౢ-ౣ౦-౯౸-౿఼ఽ్ౝ౷౤౥",e.te.trimmer=e.trimmerSupport.generateTrimmer(e.te.wordCharacters),e.Pipeline.registerFunction(e.te.trimmer,"trimmer-te"),e.te.stopWordFilter=e.generateStopWordFilter("అందరూ అందుబాటులో అడగండి అడగడం అడ్డంగా అనుగుణంగా అనుమతించు అనుమతిస్తుంది అయితే ఇప్పటికే ఉన్నారు ఎక్కడైనా ఎప్పుడు ఎవరైనా ఎవరో ఏ ఏదైనా ఏమైనప్పటికి ఒక ఒకరు కనిపిస్తాయి కాదు కూడా గా గురించి చుట్టూ చేయగలిగింది తగిన తర్వాత దాదాపు దూరంగా నిజంగా పై ప్రకారం ప్రక్కన మధ్య మరియు మరొక మళ్ళీ మాత్రమే మెచ్చుకో వద్ద వెంట వేరుగా వ్యతిరేకంగా సంబంధం".split(" ")),e.te.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.te.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.te.stemmer,"stemmer-te"),e.Pipeline.registerFunction(e.te.stopWordFilter,"stopWordFilter-te")}});

en/2019.10/assets/javascripts/lunr/min/lunr.th.min.js

@@ -0,0 +1 @@
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.th=function(){this.pipeline.reset(),this.pipeline.add(e.th.trimmer),r?this.tokenizer=e.th.tokenizer:(e.tokenizer&&(e.tokenizer=e.th.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.th.tokenizer))},e.th.wordCharacters="[฀-๿]",e.th.trimmer=e.trimmerSupport.generateTrimmer(e.th.wordCharacters),e.Pipeline.registerFunction(e.th.trimmer,"trimmer-th");var t=e.wordcut;t.init(),e.th.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t):t});var n=i.toString().replace(/^\s+/,"");return t.cut(n).split("|")}}});

en/2019.10/assets/javascripts/lunr/min/lunr.vi.min.js

@@ -0,0 +1 @@
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.vi=function(){this.pipeline.reset(),this.pipeline.add(e.vi.stopWordFilter,e.vi.trimmer)},e.vi.wordCharacters="[A-Za-ẓ̀͐́͑̉̃̓ÂâÊêÔôĂ-ăĐ-đƠ-ơƯ-ư]",e.vi.trimmer=e.trimmerSupport.generateTrimmer(e.vi.wordCharacters),e.Pipeline.registerFunction(e.vi.trimmer,"trimmer-vi"),e.vi.stopWordFilter=e.generateStopWordFilter("là cái nhưng mà".split(" "))}});

en/2019.10/assets/javascripts/lunr/min/lunr.zh.min.js

@@ -0,0 +1 @@
+!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r(require("@node-rs/jieba")):r()(e.lunr)}(this,function(e){return function(r,t){if(void 0===r)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===r.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var i="2"==r.version[0];r.zh=function(){this.pipeline.reset(),this.pipeline.add(r.zh.trimmer,r.zh.stopWordFilter,r.zh.stemmer),i?this.tokenizer=r.zh.tokenizer:(r.tokenizer&&(r.tokenizer=r.zh.tokenizer),this.tokenizerFn&&(this.tokenizerFn=r.zh.tokenizer))},r.zh.tokenizer=function(n){if(!arguments.length||null==n||void 0==n)return[];if(Array.isArray(n))return n.map(function(e){return i?new r.Token(e.toLowerCase()):e.toLowerCase()});t&&e.load(t);var o=n.toString().trim().toLowerCase(),s=[];e.cut(o,!0).forEach(function(e){s=s.concat(e.split(" "))}),s=s.filter(function(e){return!!e});var u=0;return s.map(function(e,t){if(i){var n=o.indexOf(e,u),s={};return s.position=[n,e.length],s.index=t,u=n,new r.Token(e,s)}return e})},r.zh.wordCharacters="\\w一-龥",r.zh.trimmer=r.trimmerSupport.generateTrimmer(r.zh.wordCharacters),r.Pipeline.registerFunction(r.zh.trimmer,"trimmer-zh"),r.zh.stemmer=function(){return function(e){return e}}(),r.Pipeline.registerFunction(r.zh.stemmer,"stemmer-zh"),r.zh.stopWordFilter=r.generateStopWordFilter("的 一 不 在 人 有 是 为 為 以 于 於 上 他 而 后 後 之 来 來 及 了 因 下 可 到 由 这 這 与 與 也 此 但 并 並 个 個 其 已 无 無 小 我 们 們 起 最 再 今 去 好 只 又 或 很 亦 某 把 那 你 乃 它 吧 被 比 别 趁 当 當 从 從 得 打 凡 儿 兒 尔 爾 该 該 各 给 給 跟 和 何 还 還 即 几 幾 既 看 据 據 距 靠 啦 另 么 麽 每 嘛 拿 哪 您 凭 憑 且 却 卻 让 讓 仍 啥 如 若 使 谁 誰 虽 雖 随 隨 同 所 她 哇 嗡 往 些 向 沿 哟 喲 用 咱 则 則 怎 曾 至 致 着 著 诸 諸 自".split(" ")),r.Pipeline.registerFunction(r.zh.stopWordFilter,"stopWordFilter-zh")}});

en/2019.10/assets/javascripts/lunr/tinyseg.js

@@ -0,0 +1,206 @@
+/**
+ * export the module via AMD, CommonJS or as a browser global
+ * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js
+ */
+;(function (root, factory) {
+    if (typeof define === 'function' && define.amd) {
+        // AMD. Register as an anonymous module.
+        define(factory)
+    } else if (typeof exports === 'object') {
+        /**
+         * Node. Does not work with strict CommonJS, but
+         * only CommonJS-like environments that support module.exports,
+         * like Node.
+         */
+        module.exports = factory()
+    } else {
+        // Browser globals (root is window)
+        factory()(root.lunr);
+    }
+}(this, function () {
+    /**
+     * Just return a value to define the module export.
+     * This example returns an object, but the module
+     * can return a function as the exported value.
+     */
+
+    return function(lunr) {
+        // TinySegmenter 0.1 -- Super compact Japanese tokenizer in Javascript
+        // (c) 2008 Taku Kudo <taku@chasen.org>
+        // TinySegmenter is freely distributable under the terms of a new BSD licence.
+        // For details, see http://chasen.org/~taku/software/TinySegmenter/LICENCE.txt
+
+        function TinySegmenter() {
+          var patterns = {
+            "[一二三四五六七八九十百千万億兆]":"M",
+            "[一-龠々〆ヵヶ]":"H",
+            "[ぁ-ん]":"I",
+            "[ァ-ヴーｱ-ﾝﾞｰ]":"K",
+            "[a-zA-Zａ-ｚＡ-Ｚ]":"A",
+            "[0-9０-９]":"N"
+          }
+          this.chartype_ = [];
+          for (var i in patterns) {
+            var regexp = new RegExp(i);
+            this.chartype_.push([regexp, patterns[i]]);
+          }
+
+          this.BIAS__ = -332
+          this.BC1__ = {"HH":6,"II":2461,"KH":406,"OH":-1378};
+          this.BC2__ = {"AA":-3267,"AI":2744,"AN":-878,"HH":-4070,"HM":-1711,"HN":4012,"HO":3761,"IA":1327,"IH":-1184,"II":-1332,"IK":1721,"IO":5492,"KI":3831,"KK":-8741,"MH":-3132,"MK":3334,"OO":-2920};
+          this.BC3__ = {"HH":996,"HI":626,"HK":-721,"HN":-1307,"HO":-836,"IH":-301,"KK":2762,"MK":1079,"MM":4034,"OA":-1652,"OH":266};
+          this.BP1__ = {"BB":295,"OB":304,"OO":-125,"UB":352};
+          this.BP2__ = {"BO":60,"OO":-1762};
+          this.BQ1__ = {"BHH":1150,"BHM":1521,"BII":-1158,"BIM":886,"BMH":1208,"BNH":449,"BOH":-91,"BOO":-2597,"OHI":451,"OIH":-296,"OKA":1851,"OKH":-1020,"OKK":904,"OOO":2965};
+          this.BQ2__ = {"BHH":118,"BHI":-1159,"BHM":466,"BIH":-919,"BKK":-1720,"BKO":864,"OHH":-1139,"OHM":-181,"OIH":153,"UHI":-1146};
+          this.BQ3__ = {"BHH":-792,"BHI":2664,"BII":-299,"BKI":419,"BMH":937,"BMM":8335,"BNN":998,"BOH":775,"OHH":2174,"OHM":439,"OII":280,"OKH":1798,"OKI":-793,"OKO":-2242,"OMH":-2402,"OOO":11699};
+          this.BQ4__ = {"BHH":-3895,"BIH":3761,"BII":-4654,"BIK":1348,"BKK":-1806,"BMI":-3385,"BOO":-12396,"OAH":926,"OHH":266,"OHK":-2036,"ONN":-973};
+          this.BW1__ = {",と":660,",同":727,"B1あ":1404,"B1同":542,"、と":660,"、同":727,"」と":1682,"あっ":1505,"いう":1743,"いっ":-2055,"いる":672,"うし":-4817,"うん":665,"から":3472,"がら":600,"こう":-790,"こと":2083,"こん":-1262,"さら":-4143,"さん":4573,"した":2641,"して":1104,"すで":-3399,"そこ":1977,"それ":-871,"たち":1122,"ため":601,"った":3463,"つい":-802,"てい":805,"てき":1249,"でき":1127,"です":3445,"では":844,"とい":-4915,"とみ":1922,"どこ":3887,"ない":5713,"なっ":3015,"など":7379,"なん":-1113,"にし":2468,"には":1498,"にも":1671,"に対":-912,"の一":-501,"の中":741,"ませ":2448,"まで":1711,"まま":2600,"まる":-2155,"やむ":-1947,"よっ":-2565,"れた":2369,"れで":-913,"をし":1860,"を見":731,"亡く":-1886,"京都":2558,"取り":-2784,"大き":-2604,"大阪":1497,"平方":-2314,"引き":-1336,"日本":-195,"本当":-2423,"毎日":-2113,"目指":-724,"Ｂ１あ":1404,"Ｂ１同":542,"｣と":1682};
+          this.BW2__ = {"..":-11822,"11":-669,"――":-5730,"−−":-13175,"いう":-1609,"うか":2490,"かし":-1350,"かも":-602,"から":-7194,"かれ":4612,"がい":853,"がら":-3198,"きた":1941,"くな":-1597,"こと":-8392,"この":-4193,"させ":4533,"され":13168,"さん":-3977,"しい":-1819,"しか":-545,"した":5078,"して":972,"しな":939,"その":-3744,"たい":-1253,"たた":-662,"ただ":-3857,"たち":-786,"たと":1224,"たは":-939,"った":4589,"って":1647,"っと":-2094,"てい":6144,"てき":3640,"てく":2551,"ては":-3110,"ても":-3065,"でい":2666,"でき":-1528,"でし":-3828,"です":-4761,"でも":-4203,"とい":1890,"とこ":-1746,"とと":-2279,"との":720,"とみ":5168,"とも":-3941,"ない":-2488,"なが":-1313,"など":-6509,"なの":2614,"なん":3099,"にお":-1615,"にし":2748,"にな":2454,"によ":-7236,"に対":-14943,"に従":-4688,"に関":-11388,"のか":2093,"ので":-7059,"のに":-6041,"のの":-6125,"はい":1073,"はが":-1033,"はず":-2532,"ばれ":1813,"まし":-1316,"まで":-6621,"まれ":5409,"めて":-3153,"もい":2230,"もの":-10713,"らか":-944,"らし":-1611,"らに":-1897,"りし":651,"りま":1620,"れた":4270,"れて":849,"れば":4114,"ろう":6067,"われ":7901,"を通":-11877,"んだ":728,"んな":-4115,"一人":602,"一方":-1375,"一日":970,"一部":-1051,"上が":-4479,"会社":-1116,"出て":2163,"分の":-7758,"同党":970,"同日":-913,"大阪":-2471,"委員":-1250,"少な":-1050,"年度":-8669,"年間":-1626,"府県":-2363,"手権":-1982,"新聞":-4066,"日新":-722,"日本":-7068,"日米":3372,"曜日":-601,"朝鮮":-2355,"本人":-2697,"東京":-1543,"然と":-1384,"社会":-1276,"立て":-990,"第に":-1612,"米国":-4268,"１１":-669};
+          this.BW3__ = {"あた":-2194,"あり":719,"ある":3846,"い.":-1185,"い。":-1185,"いい":5308,"いえ":2079,"いく":3029,"いた":2056,"いっ":1883,"いる":5600,"いわ":1527,"うち":1117,"うと":4798,"えと":1454,"か.":2857,"か。":2857,"かけ":-743,"かっ":-4098,"かに":-669,"から":6520,"かり":-2670,"が,":1816,"が、":1816,"がき":-4855,"がけ":-1127,"がっ":-913,"がら":-4977,"がり":-2064,"きた":1645,"けど":1374,"こと":7397,"この":1542,"ころ":-2757,"さい":-714,"さを":976,"し,":1557,"し、":1557,"しい":-3714,"した":3562,"して":1449,"しな":2608,"しま":1200,"す.":-1310,"す。":-1310,"する":6521,"ず,":3426,"ず、":3426,"ずに":841,"そう":428,"た.":8875,"た。":8875,"たい":-594,"たの":812,"たり":-1183,"たる":-853,"だ.":4098,"だ。":4098,"だっ":1004,"った":-4748,"って":300,"てい":6240,"てお":855,"ても":302,"です":1437,"でに":-1482,"では":2295,"とう":-1387,"とし":2266,"との":541,"とも":-3543,"どう":4664,"ない":1796,"なく":-903,"など":2135,"に,":-1021,"に、":-1021,"にし":1771,"にな":1906,"には":2644,"の,":-724,"の、":-724,"の子":-1000,"は,":1337,"は、":1337,"べき":2181,"まし":1113,"ます":6943,"まっ":-1549,"まで":6154,"まれ":-793,"らし":1479,"られ":6820,"るる":3818,"れ,":854,"れ、":854,"れた":1850,"れて":1375,"れば":-3246,"れる":1091,"われ":-605,"んだ":606,"んで":798,"カ月":990,"会議":860,"入り":1232,"大会":2217,"始め":1681,"市":965,"新聞":-5055,"日,":974,"日、":974,"社会":2024,"ｶ月":990};
+          this.TC1__ = {"AAA":1093,"HHH":1029,"HHM":580,"HII":998,"HOH":-390,"HOM":-331,"IHI":1169,"IOH":-142,"IOI":-1015,"IOM":467,"MMH":187,"OOI":-1832};
+          this.TC2__ = {"HHO":2088,"HII":-1023,"HMM":-1154,"IHI":-1965,"KKH":703,"OII":-2649};
+          this.TC3__ = {"AAA":-294,"HHH":346,"HHI":-341,"HII":-1088,"HIK":731,"HOH":-1486,"IHH":128,"IHI":-3041,"IHO":-1935,"IIH":-825,"IIM":-1035,"IOI":-542,"KHH":-1216,"KKA":491,"KKH":-1217,"KOK":-1009,"MHH":-2694,"MHM":-457,"MHO":123,"MMH":-471,"NNH":-1689,"NNO":662,"OHO":-3393};
+          this.TC4__ = {"HHH":-203,"HHI":1344,"HHK":365,"HHM":-122,"HHN":182,"HHO":669,"HIH":804,"HII":679,"HOH":446,"IHH":695,"IHO":-2324,"IIH":321,"III":1497,"IIO":656,"IOO":54,"KAK":4845,"KKA":3386,"KKK":3065,"MHH":-405,"MHI":201,"MMH":-241,"MMM":661,"MOM":841};
+          this.TQ1__ = {"BHHH":-227,"BHHI":316,"BHIH":-132,"BIHH":60,"BIII":1595,"BNHH":-744,"BOHH":225,"BOOO":-908,"OAKK":482,"OHHH":281,"OHIH":249,"OIHI":200,"OIIH":-68};
+          this.TQ2__ = {"BIHH":-1401,"BIII":-1033,"BKAK":-543,"BOOO":-5591};
+          this.TQ3__ = {"BHHH":478,"BHHM":-1073,"BHIH":222,"BHII":-504,"BIIH":-116,"BIII":-105,"BMHI":-863,"BMHM":-464,"BOMH":620,"OHHH":346,"OHHI":1729,"OHII":997,"OHMH":481,"OIHH":623,"OIIH":1344,"OKAK":2792,"OKHH":587,"OKKA":679,"OOHH":110,"OOII":-685};
+          this.TQ4__ = {"BHHH":-721,"BHHM":-3604,"BHII":-966,"BIIH":-607,"BIII":-2181,"OAAA":-2763,"OAKK":180,"OHHH":-294,"OHHI":2446,"OHHO":480,"OHIH":-1573,"OIHH":1935,"OIHI":-493,"OIIH":626,"OIII":-4007,"OKAK":-8156};
+          this.TW1__ = {"につい":-4681,"東京都":2026};
+          this.TW2__ = {"ある程":-2049,"いった":-1256,"ころが":-2434,"しょう":3873,"その後":-4430,"だって":-1049,"ていた":1833,"として":-4657,"ともに":-4517,"もので":1882,"一気に":-792,"初めて":-1512,"同時に":-8097,"大きな":-1255,"対して":-2721,"社会党":-3216};
+          this.TW3__ = {"いただ":-1734,"してい":1314,"として":-4314,"につい":-5483,"にとっ":-5989,"に当た":-6247,"ので,":-727,"ので、":-727,"のもの":-600,"れから":-3752,"十二月":-2287};
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+          
+          return this;
+        }
+        TinySegmenter.prototype.ctype_ = function(str) {
+          for (var i in this.chartype_) {
+            if (str.match(this.chartype_[i][0])) {
+              return this.chartype_[i][1];
+            }
+          }
+          return "O";
+        }
+
+        TinySegmenter.prototype.ts_ = function(v) {
+          if (v) { return v; }
+          return 0;
+        }
+
+        TinySegmenter.prototype.segment = function(input) {
+          if (input == null || input == undefined || input == "") {
+            return [];
+          }
+          var result = [];
+          var seg = ["B3","B2","B1"];
+          var ctype = ["O","O","O"];
+          var o = input.split("");
+          for (i = 0; i < o.length; ++i) {
+            seg.push(o[i]);
+            ctype.push(this.ctype_(o[i]))
+          }
+          seg.push("E1");
+          seg.push("E2");
+          seg.push("E3");
+          ctype.push("O");
+          ctype.push("O");
+          ctype.push("O");
+          var word = seg[3];
+          var p1 = "U";
+          var p2 = "U";
+          var p3 = "U";
+          for (var i = 4; i < seg.length - 3; ++i) {
+            var score = this.BIAS__;
+            var w1 = seg[i-3];
+            var w2 = seg[i-2];
+            var w3 = seg[i-1];
+            var w4 = seg[i];
+            var w5 = seg[i+1];
+            var w6 = seg[i+2];
+            var c1 = ctype[i-3];
+            var c2 = ctype[i-2];
+            var c3 = ctype[i-1];
+            var c4 = ctype[i];
+            var c5 = ctype[i+1];
+            var c6 = ctype[i+2];
+            score += this.ts_(this.UP1__[p1]);
+            score += this.ts_(this.UP2__[p2]);
+            score += this.ts_(this.UP3__[p3]);
+            score += this.ts_(this.BP1__[p1 + p2]);
+            score += this.ts_(this.BP2__[p2 + p3]);
+            score += this.ts_(this.UW1__[w1]);
+            score += this.ts_(this.UW2__[w2]);
+            score += this.ts_(this.UW3__[w3]);
+            score += this.ts_(this.UW4__[w4]);
+            score += this.ts_(this.UW5__[w5]);
+            score += this.ts_(this.UW6__[w6]);
+            score += this.ts_(this.BW1__[w2 + w3]);
+            score += this.ts_(this.BW2__[w3 + w4]);
+            score += this.ts_(this.BW3__[w4 + w5]);
+            score += this.ts_(this.TW1__[w1 + w2 + w3]);
+            score += this.ts_(this.TW2__[w2 + w3 + w4]);
+            score += this.ts_(this.TW3__[w3 + w4 + w5]);
+            score += this.ts_(this.TW4__[w4 + w5 + w6]);
+            score += this.ts_(this.UC1__[c1]);
+            score += this.ts_(this.UC2__[c2]);
+            score += this.ts_(this.UC3__[c3]);
+            score += this.ts_(this.UC4__[c4]);
+            score += this.ts_(this.UC5__[c5]);
+            score += this.ts_(this.UC6__[c6]);
+            score += this.ts_(this.BC1__[c2 + c3]);
+            score += this.ts_(this.BC2__[c3 + c4]);
+            score += this.ts_(this.BC3__[c4 + c5]);
+            score += this.ts_(this.TC1__[c1 + c2 + c3]);
+            score += this.ts_(this.TC2__[c2 + c3 + c4]);
+            score += this.ts_(this.TC3__[c3 + c4 + c5]);
+            score += this.ts_(this.TC4__[c4 + c5 + c6]);
+        //  score += this.ts_(this.TC5__[c4 + c5 + c6]);    
+            score += this.ts_(this.UQ1__[p1 + c1]);
+            score += this.ts_(this.UQ2__[p2 + c2]);
+            score += this.ts_(this.UQ3__[p3 + c3]);
+            score += this.ts_(this.BQ1__[p2 + c2 + c3]);
+            score += this.ts_(this.BQ2__[p2 + c3 + c4]);
+            score += this.ts_(this.BQ3__[p3 + c2 + c3]);
+            score += this.ts_(this.BQ4__[p3 + c3 + c4]);
+            score += this.ts_(this.TQ1__[p2 + c1 + c2 + c3]);
+            score += this.ts_(this.TQ2__[p2 + c2 + c3 + c4]);
+            score += this.ts_(this.TQ3__[p3 + c1 + c2 + c3]);
+            score += this.ts_(this.TQ4__[p3 + c2 + c3 + c4]);
+            var p = "O";
+            if (score > 0) {
+              result.push(word);
+              word = "";
+              p = "B";
+            }
+            p1 = p2;
+            p2 = p3;
+            p3 = p;
+            word += seg[i];
+          }
+          result.push(word);
+
+          return result;
+        }
+
+        lunr.TinySegmenter = TinySegmenter;
+    };
+
+}));

en/2019.10/assets/stylesheets/palette.06af60db.min.css.map

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en/2019.10/deprecated/index.html

@@ -0,0 +1,984 @@
+
+<!doctype html>
+<html lang="en" class="no-js">
+  <head>
+    
+      <meta charset="utf-8">
+      <meta name="viewport" content="width=device-width,initial-scale=1">
+      
+      
+      
+      
+        <link rel="prev" href="../sandbox-testing/">
+      
+      
+        <link rel="next" href="../developer/">
+      
+      
+      <link rel="icon" href="../assets/images/favicon.png">
+      <meta name="generator" content="mkdocs-1.6.0, mkdocs-material-9.5.30">
+    
+    
+      
+        <title>Deprecated Features - Freqtrade</title>
+      
+    
+    
+      <link rel="stylesheet" href="../assets/stylesheets/main.3cba04c6.min.css">
+      
+        
+        <link rel="stylesheet" href="../assets/stylesheets/palette.06af60db.min.css">
+      
+      
+
+
+    
+    
+      
+    
+    
+      
+        
+        
+        <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+        <link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback">
+        <style>:root{--md-text-font:"Roboto";--md-code-font:"Roboto Mono"}</style>
+      
+    
+    
+      <link rel="stylesheet" href="../stylesheets/ft.extra.css">
+    
+    <script>__md_scope=new URL("..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
+    
+      
+
+    
+    
+    
+  </head>
+  
+  
+    
+    
+    
+    
+    
+    <body dir="ltr" data-md-color-scheme="default" data-md-color-primary="blue-grey" data-md-color-accent="tear">
+  
+    
+    <input class="md-toggle" data-md-toggle="drawer" type="checkbox" id="__drawer" autocomplete="off">
+    <input class="md-toggle" data-md-toggle="search" type="checkbox" id="__search" autocomplete="off">
+    <label class="md-overlay" for="__drawer"></label>
+    <div data-md-component="skip">
+      
+        
+        <a href="#deprecated-features" class="md-skip">
+          Skip to content
+        </a>
+      
+    </div>
+    <div data-md-component="announce">
+      
+    </div>
+    
+      <div data-md-color-scheme="default" data-md-component="outdated" hidden>
+        
+      </div>
+    
+    
+      
+
+  
+
+<header class="md-header md-header--shadow" data-md-component="header">
+  <nav class="md-header__inner md-grid" aria-label="Header">
+    <a href=".." title="Freqtrade" class="md-header__button md-logo" aria-label="Freqtrade" data-md-component="logo">
+      
+  <img src="../images/logo.png" alt="logo">
+
+    </a>
+    <label class="md-header__button md-icon" for="__drawer">
+      
+      <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 6h18v2H3V6m0 5h18v2H3v-2m0 5h18v2H3v-2Z"/></svg>
+    </label>
+    <div class="md-header__title" data-md-component="header-title">
+      <div class="md-header__ellipsis">
+        <div class="md-header__topic">
+          <span class="md-ellipsis">
+            Freqtrade
+          </span>
+        </div>
+        <div class="md-header__topic" data-md-component="header-topic">
+          <span class="md-ellipsis">
+            
+              Deprecated Features
+            
+          </span>
+        </div>
+      </div>
+    </div>
+    
+      
+    
+    
+    
+    
+      <label class="md-header__button md-icon" for="__search">
+        
+        <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
+      </label>
+      <div class="md-search" data-md-component="search" role="dialog">
+  <label class="md-search__overlay" for="__search"></label>
+  <div class="md-search__inner" role="search">
+    <form class="md-search__form" name="search">
+      <input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" required>
+      <label class="md-search__icon md-icon" for="__search">
+        
+        <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
+        
+        <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg>
+      </label>
+      <nav class="md-search__options" aria-label="Search">
+        
+        <button type="reset" class="md-search__icon md-icon" title="Clear" aria-label="Clear" tabindex="-1">
+          
+          <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M19 6.41 17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41Z"/></svg>
+        </button>
+      </nav>
+      
+    </form>
+    <div class="md-search__output">
+      <div class="md-search__scrollwrap" tabindex="0" data-md-scrollfix>
+        <div class="md-search-result" data-md-component="search-result">
+          <div class="md-search-result__meta">
+            Initializing search
+          </div>
+          <ol class="md-search-result__list" role="presentation"></ol>
+        </div>
+      </div>
+    </div>
+  </div>
+</div>
+    
+    
+  </nav>
+  
+</header>
+    
+    <div class="md-container" data-md-component="container">
+      
+      
+        
+          
+        
+      
+      <main class="md-main" data-md-component="main">
+        <div class="md-main__inner md-grid">
+          
+            
+              
+              <div class="md-sidebar md-sidebar--primary" data-md-component="sidebar" data-md-type="navigation" >
+                <div class="md-sidebar__scrollwrap">
+                  <div class="md-sidebar__inner">
+                    
+
+
+
+<nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
+  <label class="md-nav__title" for="__drawer">
+    <a href=".." title="Freqtrade" class="md-nav__button md-logo" aria-label="Freqtrade" data-md-component="logo">
+      
+  <img src="../images/logo.png" alt="logo">
+
+    </a>
+    Freqtrade
+  </label>
+  
+  <ul class="md-nav__list" data-md-scrollfix>
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href=".." class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    About
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../installation/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Installation
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../docker/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Installation Docker
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../configuration/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Configuration
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../strategy-customization/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Strategy Customization
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../stoploss/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Stoploss
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../bot-usage/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Start the bot
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    
+    
+    
+    
+    <li class="md-nav__item md-nav__item--nested">
+      
+        
+        
+        <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_8" >
+        
+          
+          <label class="md-nav__link" for="__nav_8" id="__nav_8_label" tabindex="0">
+            
+  
+  <span class="md-ellipsis">
+    Control the bot
+  </span>
+  
+
+            <span class="md-nav__icon md-icon"></span>
+          </label>
+        
+        <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_8_label" aria-expanded="false">
+          <label class="md-nav__title" for="__nav_8">
+            <span class="md-nav__icon md-icon"></span>
+            Control the bot
+          </label>
+          <ul class="md-nav__list" data-md-scrollfix>
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../telegram-usage/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Telegram
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../webhook-config/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Web Hook
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../rest-api/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    REST API
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+          </ul>
+        </nav>
+      
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../data-download/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Data Downloading
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../backtesting/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Backtesting
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../hyperopt/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Hyperopt
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../edge/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Edge Positioning
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../utils/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Utility Subcommands
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../faq/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    FAQ
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    
+    
+    
+    
+    <li class="md-nav__item md-nav__item--nested">
+      
+        
+        
+        <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_15" >
+        
+          
+          <label class="md-nav__link" for="__nav_15" id="__nav_15_label" tabindex="0">
+            
+  
+  <span class="md-ellipsis">
+    Data Analysis
+  </span>
+  
+
+            <span class="md-nav__icon md-icon"></span>
+          </label>
+        
+        <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_15_label" aria-expanded="false">
+          <label class="md-nav__title" for="__nav_15">
+            <span class="md-nav__icon md-icon"></span>
+            Data Analysis
+          </label>
+          <ul class="md-nav__list" data-md-scrollfix>
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../data-analysis/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Jupyter Notebooks
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../strategy_analysis_example/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Strategy analysis
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+              
+                
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../plotting/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Plotting
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+              
+            
+          </ul>
+        </nav>
+      
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../sql_cheatsheet/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    SQL Cheatsheet
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../sandbox-testing/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Sandbox Testing
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+      
+      
+  
+  
+    
+  
+  
+  
+    <li class="md-nav__item md-nav__item--active">
+      
+      <input class="md-nav__toggle md-toggle" type="checkbox" id="__toc">
+      
+      
+        
+      
+      
+        <label class="md-nav__link md-nav__link--active" for="__toc">
+          
+  
+  <span class="md-ellipsis">
+    Deprecated Features
+  </span>
+  
+
+          <span class="md-nav__icon md-icon"></span>
+        </label>
+      
+      <a href="./" class="md-nav__link md-nav__link--active">
+        
+  
+  <span class="md-ellipsis">
+    Deprecated Features
+  </span>
+  
+
+      </a>
+      
+        
+
+<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
+  
+  
+  
+    
+  
+  
+    <label class="md-nav__title" for="__toc">
+      <span class="md-nav__icon md-icon"></span>
+      Table of contents
+    </label>
+    <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
+      
+        <li class="md-nav__item">
+  <a href="#removed-features" class="md-nav__link">
+    <span class="md-ellipsis">
+      Removed features
+    </span>
+  </a>
+  
+    <nav class="md-nav" aria-label="Removed features">
+      <ul class="md-nav__list">
+        
+          <li class="md-nav__item">
+  <a href="#the-refresh-pairs-cached-command-line-option" class="md-nav__link">
+    <span class="md-ellipsis">
+      the --refresh-pairs-cached command line option
+    </span>
+  </a>
+  
+</li>
+        
+          <li class="md-nav__item">
+  <a href="#the-dynamic-whitelist-command-line-option" class="md-nav__link">
+    <span class="md-ellipsis">
+      The --dynamic-whitelist command line option
+    </span>
+  </a>
+  
+</li>
+        
+          <li class="md-nav__item">
+  <a href="#the-live-command-line-option" class="md-nav__link">
+    <span class="md-ellipsis">
+      the --live command line option
+    </span>
+  </a>
+  
+</li>
+        
+      </ul>
+    </nav>
+  
+</li>
+      
+    </ul>
+  
+</nav>
+      
+    </li>
+  
+
+    
+      
+      
+  
+  
+  
+  
+    <li class="md-nav__item">
+      <a href="../developer/" class="md-nav__link">
+        
+  
+  <span class="md-ellipsis">
+    Contributors Guide
+  </span>
+  
+
+      </a>
+    </li>
+  
+
+    
+  </ul>
+</nav>
+                  </div>
+                </div>
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+            
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+              
+              <div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
+                <div class="md-sidebar__scrollwrap">
+                  <div class="md-sidebar__inner">
+                    
+
+<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
+  
+  
+  
+    
+  
+  
+    <label class="md-nav__title" for="__toc">
+      <span class="md-nav__icon md-icon"></span>
+      Table of contents
+    </label>
+    <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
+      
+        <li class="md-nav__item">
+  <a href="#removed-features" class="md-nav__link">
+    <span class="md-ellipsis">
+      Removed features
+    </span>
+  </a>
+  
+    <nav class="md-nav" aria-label="Removed features">
+      <ul class="md-nav__list">
+        
+          <li class="md-nav__item">
+  <a href="#the-refresh-pairs-cached-command-line-option" class="md-nav__link">
+    <span class="md-ellipsis">
+      the --refresh-pairs-cached command line option
+    </span>
+  </a>
+  
+</li>
+        
+          <li class="md-nav__item">
+  <a href="#the-dynamic-whitelist-command-line-option" class="md-nav__link">
+    <span class="md-ellipsis">
+      The --dynamic-whitelist command line option
+    </span>
+  </a>
+  
+</li>
+        
+          <li class="md-nav__item">
+  <a href="#the-live-command-line-option" class="md-nav__link">
+    <span class="md-ellipsis">
+      the --live command line option
+    </span>
+  </a>
+  
+</li>
+        
+      </ul>
+    </nav>
+  
+</li>
+      
+    </ul>
+  
+</nav>
+                  </div>
+                </div>
+              </div>
+            
+          
+          
+            <div class="md-content" data-md-component="content">
+              <article class="md-content__inner md-typeset">
+                
+                  
+
+
+<h1 id="deprecated-features">Deprecated features<a class="headerlink" href="#deprecated-features" title="Permanent link">&para;</a></h1>
+<p>This page contains description of the command line arguments, configuration parameters
+and the bot features that were declared as DEPRECATED by the bot development team
+and are no longer supported. Please avoid their usage in your configuration.</p>
+<h2 id="removed-features">Removed features<a class="headerlink" href="#removed-features" title="Permanent link">&para;</a></h2>
+<h3 id="the-refresh-pairs-cached-command-line-option">the <code>--refresh-pairs-cached</code> command line option<a class="headerlink" href="#the-refresh-pairs-cached-command-line-option" title="Permanent link">&para;</a></h3>
+<p><code>--refresh-pairs-cached</code> in the context of backtesting, hyperopt and edge allows to refresh candle data for backtesting.
+Since this leads to much confusion, and slows down backtesting (while not being part of backtesting) this has been singled out 
+as a seperate freqtrade subcommand <code>freqtrade download-data</code>.</p>
+<p>This command line option was deprecated in 2019.7-dev (develop branch) and removed in 2019.9 (master branch).</p>
+<h3 id="the-dynamic-whitelist-command-line-option">The <strong>--dynamic-whitelist</strong> command line option<a class="headerlink" href="#the-dynamic-whitelist-command-line-option" title="Permanent link">&para;</a></h3>
+<p>This command line option was deprecated in 2018 and removed freqtrade 2019.6-dev (develop branch)
+and in freqtrade 2019.7 (master branch).</p>
+<h3 id="the-live-command-line-option">the <code>--live</code> command line option<a class="headerlink" href="#the-live-command-line-option" title="Permanent link">&para;</a></h3>
+<p><code>--live</code> in the context of backtesting allowed to download the latest tick data for backtesting.
+Did only download the latest 500 candles, so was ineffective in getting good backtest data.
+Removed in 2019-7-dev (develop branch) and in freqtrade 2019-8 (master branch)</p>
+
+
+
+
+
+
+
+
+
+
+
+
+                
+              </article>
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