Merge branch 'develop' into add-current-drawdown-in-telegram-profit-command

.github/workflows/ci.yml

@@ -25,7 +25,7 @@ jobs:
     strategy:
       matrix:
         os: [ "ubuntu-22.04", "ubuntu-24.04" ]
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13"]
 
     steps:
     - uses: actions/checkout@v4
@@ -38,7 +38,7 @@ jobs:
         python-version: ${{ matrix.python-version }}
 
     - name: Install uv
-      uses: astral-sh/setup-uv@f0ec1fc3b38f5e7cd731bb6ce540c5af426746bb # v6.1.0
+      uses: astral-sh/setup-uv@bd01e18f51369d5a26f1651c3cb451d3417e3bba # v6.3.1
       with:
         activate-environment: true
         enable-cache: true
@@ -148,7 +148,7 @@ jobs:
         mypy freqtrade scripts tests
 
     - name: Discord notification
-      uses: rjstone/discord-webhook-notify@a975c85e53c8ea07b0b10f8461b0a90059816dcf #v2.1.1
+      uses: rjstone/discord-webhook-notify@c2597273488aeda841dd1e891321952b51f7996f #v2.2.1
       if: failure() && ( github.event_name != 'pull_request' || github.event.pull_request.head.repo.fork == false)
       with:
           severity: error
@@ -159,11 +159,8 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        os: [ "macos-13", "macos-14", "macos-15" ]
+        os: [ "macos-14", "macos-15" ]
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13"]
-        exclude:
-        - os: macos-13
-          python-version: "3.13"
 
     steps:
     - uses: actions/checkout@v4
@@ -177,7 +174,7 @@ jobs:
         check-latest: true
 
     - name: Install uv
-      uses: astral-sh/setup-uv@f0ec1fc3b38f5e7cd731bb6ce540c5af426746bb # v6.1.0
+      uses: astral-sh/setup-uv@bd01e18f51369d5a26f1651c3cb451d3417e3bba # v6.3.1
       with:
         activate-environment: true
         enable-cache: true
@@ -278,7 +275,7 @@ jobs:
         mypy freqtrade scripts
 
     - name: Discord notification
-      uses: rjstone/discord-webhook-notify@a975c85e53c8ea07b0b10f8461b0a90059816dcf #v2.1.1
+      uses: rjstone/discord-webhook-notify@c2597273488aeda841dd1e891321952b51f7996f #v2.2.1
       if: failure() && ( github.event_name != 'pull_request' || github.event.pull_request.head.repo.fork == false)
       with:
           severity: info
@@ -291,7 +288,7 @@ jobs:
     strategy:
       matrix:
         os: [ windows-latest ]
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13"]
 
     steps:
     - uses: actions/checkout@v4
@@ -304,7 +301,7 @@ jobs:
         python-version: ${{ matrix.python-version }}
 
     - name: Install uv
-      uses: astral-sh/setup-uv@f0ec1fc3b38f5e7cd731bb6ce540c5af426746bb # v6.1.0
+      uses: astral-sh/setup-uv@bd01e18f51369d5a26f1651c3cb451d3417e3bba # v6.3.1
       with:
         activate-environment: true
         enable-cache: true
@@ -372,7 +369,7 @@ jobs:
       shell: powershell
 
     - name: Discord notification
-      uses: rjstone/discord-webhook-notify@a975c85e53c8ea07b0b10f8461b0a90059816dcf #v2.1.1
+      uses: rjstone/discord-webhook-notify@c2597273488aeda841dd1e891321952b51f7996f #v2.2.1
       if: failure() && ( github.event_name != 'pull_request' || github.event.pull_request.head.repo.fork == false)
       with:
           severity: error
@@ -430,7 +427,7 @@ jobs:
         mkdocs build
 
     - name: Discord notification
-      uses: rjstone/discord-webhook-notify@a975c85e53c8ea07b0b10f8461b0a90059816dcf #v2.1.1
+      uses: rjstone/discord-webhook-notify@c2597273488aeda841dd1e891321952b51f7996f #v2.2.1
       if: failure() && ( github.event_name != 'pull_request' || github.event.pull_request.head.repo.fork == false)
       with:
           severity: error
@@ -452,7 +449,7 @@ jobs:
         python-version: "3.12"
 
     - name: Install uv
-      uses: astral-sh/setup-uv@f0ec1fc3b38f5e7cd731bb6ce540c5af426746bb # v6.1.0
+      uses: astral-sh/setup-uv@bd01e18f51369d5a26f1651c3cb451d3417e3bba # v6.3.1
       with:
         activate-environment: true
         enable-cache: true
@@ -518,7 +515,7 @@ jobs:
         GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
 
     - name: Discord notification
-      uses: rjstone/discord-webhook-notify@a975c85e53c8ea07b0b10f8461b0a90059816dcf #v2.1.1
+      uses: rjstone/discord-webhook-notify@c2597273488aeda841dd1e891321952b51f7996f #v2.2.1
       if: always() && steps.check.outputs.has-permission && ( github.event_name != 'pull_request' || github.event.pull_request.head.repo.fork == false)
       with:
           severity: info

.github/workflows/docker-build.yml

@@ -55,20 +55,12 @@ jobs:
       run: |
         echo "${DOCKER_PASSWORD}" | docker login --username ${DOCKER_USERNAME} --password-stdin
 
-    # We need docker experimental to pull the ARM image.
-    - name: Switch docker to experimental
-      run: |
-          docker version -f '{{.Server.Experimental}}'
-          echo $'{\n    "experimental": true\n}' | sudo tee /etc/docker/daemon.json
-          sudo systemctl restart docker
-          docker version -f '{{.Server.Experimental}}'
-
     - name: Set up QEMU
       uses: docker/setup-qemu-action@29109295f81e9208d7d86ff1c6c12d2833863392 # v3.6.0
 
     - name: Set up Docker Buildx
       id: buildx
-      uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 #v3.10.0
+      uses: docker/setup-buildx-action@e468171a9de216ec08956ac3ada2f0791b6bd435 #v3.11.1
 
     - name: Available platforms
       run: echo ${PLATFORMS}
@@ -124,7 +116,7 @@ jobs:
         build_helpers/publish_docker_arm64.sh
 
     - name: Discord notification
-      uses: rjstone/discord-webhook-notify@a975c85e53c8ea07b0b10f8461b0a90059816dcf #v2.1.1
+      uses: rjstone/discord-webhook-notify@c2597273488aeda841dd1e891321952b51f7996f #v2.2.1
       if: always() && ( github.event_name != 'pull_request' || github.event.pull_request.head.repo.fork == false) && (github.event_name != 'schedule')
       with:
           severity: info

.github/workflows/zizmor.yml

@@ -0,0 +1,29 @@
+name: GitHub Actions Security Analysis with zizmor 🌈
+
+on:
+  push:
+    branches:
+      - develop
+      - stable
+  pull_request:
+    branches:
+      - develop
+      - stable
+
+permissions: {}
+
+jobs:
+  zizmor:
+    runs-on: ubuntu-latest
+    permissions:
+      security-events: write
+      # contents: read # only needed for private repos
+      # actions: read # only needed for private repos
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+        with:
+          persist-credentials: false
+
+      - name: Run zizmor 🌈
+        uses: zizmorcore/zizmor-action@f52a838cfabf134edcbaa7c8b3677dde20045018 # v0.1.1

.pre-commit-config.yaml

@@ -14,14 +14,14 @@ repos:
         additional_dependencies: ["python-rapidjson", "jsonschema"]
 
   - repo: https://github.com/pycqa/flake8
-    rev: "7.2.0"
+    rev: "7.3.0"
     hooks:
       - id: flake8
         additional_dependencies: [Flake8-pyproject]
         # stages: [push]
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: "v1.16.0"
+    rev: "v1.16.1"
     hooks:
       - id: mypy
         exclude: build_helpers
@@ -31,6 +31,7 @@ repos:
           - types-requests==2.32.4.20250611
           - types-tabulate==0.9.0.20241207
           - types-python-dateutil==2.9.0.20250516
+          - scipy-stubs==1.16.0.2
           - SQLAlchemy==2.0.41
         # stages: [push]
 
@@ -43,7 +44,7 @@ repos:
 
   - repo: https://github.com/charliermarsh/ruff-pre-commit
     # Ruff version.
-    rev: 'v0.11.13'
+    rev: 'v0.12.2'
     hooks:
       - id: ruff
       - id: ruff-format
@@ -82,6 +83,6 @@ repos:
 
   # Ensure github actions remain safe
   - repo: https://github.com/woodruffw/zizmor-pre-commit
-    rev: v1.9.0
+    rev: v1.11.0
     hooks:
     - id: zizmor

Dockerfile

@@ -1,10 +1,10 @@
-FROM python:3.13.5-slim-bookworm as base
+FROM python:3.13.5-slim-bookworm AS base
 
 # Setup env
-ENV LANG C.UTF-8
+ENV LANG=C.UTF-8
-ENV LC_ALL C.UTF-8
+ENV LC_ALL=C.UTF-8
-ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONDONTWRITEBYTECODE=1
-ENV PYTHONFAULTHANDLER 1
+ENV PYTHONFAULTHANDLER=1
 ENV PATH=/home/ftuser/.local/bin:$PATH
 ENV FT_APP_ENV="docker"
 
@@ -21,7 +21,7 @@ RUN mkdir /freqtrade \
 WORKDIR /freqtrade
 
 # Install dependencies
-FROM base as python-deps
+FROM base AS python-deps
 RUN  apt-get update \
   && apt-get -y install build-essential libssl-dev git libffi-dev libgfortran5 pkg-config cmake gcc \
   && apt-get clean \
@@ -30,7 +30,7 @@ RUN  apt-get update \
 # 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
+ENV LD_LIBRARY_PATH=/usr/local/lib
 
 # Install dependencies
 COPY --chown=ftuser:ftuser requirements.txt requirements-hyperopt.txt /freqtrade/
@@ -39,9 +39,9 @@ RUN  pip install --user --no-cache-dir "numpy<3.0" \
   && pip install --user --no-cache-dir -r requirements-hyperopt.txt
 
 # Copy dependencies to runtime-image
-FROM base as runtime-image
+FROM base AS runtime-image
 COPY --from=python-deps /usr/local/lib /usr/local/lib
-ENV LD_LIBRARY_PATH /usr/local/lib
+ENV LD_LIBRARY_PATH=/usr/local/lib
 
 COPY --from=python-deps --chown=ftuser:ftuser /home/ftuser/.local /home/ftuser/.local
 

README.md

@@ -64,7 +64,7 @@ Please find the complete documentation on the [freqtrade website](https://www.fr
 
 ## Features
 
-- [x] **Based on Python 3.10+**: For botting on any operating system - Windows, macOS and Linux.
+- [x] **Based on Python 3.11+**: For botting on any operating system - Windows, macOS and Linux.
 - [x] **Persistence**: Persistence is achieved through sqlite.
 - [x] **Dry-run**: Run the bot without paying money.
 - [x] **Backtesting**: Run a simulation of your buy/sell strategy.
@@ -219,7 +219,7 @@ To run this bot we recommend you a cloud instance with a minimum of:
 
 ### Software requirements
 
-- [Python >= 3.10](http://docs.python-guide.org/en/latest/starting/installation/)
+- [Python >= 3.11](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://ta-lib.github.io/ta-lib-python/)

build_helpers/pre_commit_update.py

@@ -16,10 +16,12 @@ with require_dev.open("r") as rfile:
 with require.open("r") as rfile:
     requirements.extend(rfile.readlines())
 
-# Extract types only
+# Extract relevant types only
-type_reqs = [
+supported = ("types-", "SQLAlchemy", "scipy-stubs")
-    r.strip("\n") for r in requirements if r.startswith("types-") or r.startswith("SQLAlchemy")
+
-]
+# Find relevant dependencies
+# Only keep the first part of the line up to the first space
+type_reqs = [r.strip("\n").split()[0] for r in requirements if r.startswith(supported)]
 
 with pre_commit_file.open("r") as file:
     f = yaml.load(file, Loader=yaml.SafeLoader)

config_examples/config_binance.example.json

@@ -2,7 +2,7 @@
     "$schema": "https://schema.freqtrade.io/schema.json",
     "max_open_trades": 3,
     "stake_currency": "USDT",
-    "stake_amount": 0.05,
+    "stake_amount": 30,
     "tradable_balance_ratio": 0.99,
     "fiat_display_currency": "USD",
     "timeframe": "5m",

docker/Dockerfile.armhf

@@ -1,10 +1,10 @@
-FROM python:3.11.13-slim-bookworm as base
+FROM python:3.11.13-slim-bookworm AS base
 
 # Setup env
-ENV LANG C.UTF-8
+ENV LANG=C.UTF-8
-ENV LC_ALL C.UTF-8
+ENV LC_ALL=C.UTF-8
-ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONDONTWRITEBYTECODE=1
-ENV PYTHONFAULTHANDLER 1
+ENV PYTHONFAULTHANDLER=1
 ENV PATH=/home/ftuser/.local/bin:$PATH
 ENV FT_APP_ENV="docker"
 
@@ -22,7 +22,7 @@ RUN mkdir /freqtrade \
 WORKDIR /freqtrade
 
 # Install dependencies
-FROM base as python-deps
+FROM base AS python-deps
 RUN  apt-get update \
   && apt-get -y install build-essential libssl-dev libffi-dev libgfortran5 pkg-config cmake gcc \
   && apt-get clean \
@@ -39,9 +39,9 @@ RUN  pip install --user --no-cache-dir "numpy<3.0" \
   && pip install --user --no-cache-dir -r requirements.txt
 
 # Copy dependencies to runtime-image
-FROM base as runtime-image
+FROM base AS runtime-image
 COPY --from=python-deps /usr/local/lib /usr/local/lib
-ENV LD_LIBRARY_PATH /usr/local/lib
+ENV LD_LIBRARY_PATH=/usr/local/lib
 
 COPY --from=python-deps --chown=ftuser:ftuser /home/ftuser/.local /home/ftuser/.local
 

docs/developer.md

@@ -304,6 +304,13 @@ The `IProtection` parent class provides a helper method for this in `calculate_l
 
 Most exchanges supported by CCXT should work out of the box.
 
+If you need to implement a specific exchange class, these are found in the `freqtrade/exchange` source folder. You'll also need to add the import to `freqtrade/exchange/__init__.py` to make the loading logic aware of the new exchange.  
+We recommend looking at existing exchange implementations to get an idea of what might be required.
+
+!!! Warning
+    Implementing and testing an exchange can be a lot of trial and error, so please bear this in mind.
+    You should also have some development experience, as this is not a beginner task.
+
 To quickly test the public endpoints of an exchange, add a configuration for your exchange to `tests/exchange_online/conftest.py` and run these tests with `pytest --longrun tests/exchange_online/test_ccxt_compat.py`.
 Completing these tests successfully a good basis point (it's a requirement, actually), however these won't guarantee correct exchange functioning, as this only tests public endpoints, but no private endpoint (like generate order or similar).
 

docs/index.md

@@ -5,10 +5,10 @@
 [![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. -->
+<!-- GitHub action buttons -->
-<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>
+[:octicons-star-16: Star](https://github.com/freqtrade/freqtrade){ .md-button .md-button--sm }
-<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>
+[:octicons-repo-forked-16: Fork](https://github.com/freqtrade/freqtrade/fork){ .md-button .md-button--sm }
-<a class="github-button" href="https://github.com/freqtrade/freqtrade/archive/stable.zip" data-icon="octicon-cloud-download" data-size="large" aria-label="Download freqtrade/freqtrade on GitHub">Download</a>
+[:octicons-download-16: Download](https://github.com/freqtrade/freqtrade/archive/stable.zip){ .md-button .md-button--sm }
 
 ## Introduction
 
@@ -87,7 +87,7 @@ To run this bot we recommend you a linux cloud instance with a minimum of:
 
 Alternatively
 
-- Python 3.10+
+- Python 3.11+
 - pip (pip3)
 - git
 - TA-Lib

docs/installation.md

@@ -24,7 +24,7 @@ The easiest way to install and run Freqtrade is to clone the bot Github reposito
     The `stable` branch contains the code of the last release (done usually once per month on an approximately one week old snapshot of the `develop` branch to prevent packaging bugs, so potentially it's more stable).
 
 !!! Note
-    Python3.10 or higher and the corresponding `pip` are assumed to be available. The install-script will warn you and stop if that's not the case. `git` is also needed to clone the Freqtrade repository.  
+    Python3.11 or higher and the corresponding `pip` are assumed to be available. The install-script will warn you and stop if that's not the case. `git` is also needed to clone the Freqtrade repository.  
     Also, python headers (`python<yourversion>-dev` / `python<yourversion>-devel`) must be available for the installation to complete successfully.
 
 !!! Warning "Up-to-date clock"
@@ -42,7 +42,7 @@ These requirements apply to both [Script Installation](#script-installation) and
 
 ### Install guide
 
-* [Python >= 3.10](http://docs.python-guide.org/en/latest/starting/installation/)
+* [Python >= 3.11](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.html) (Recommended)
@@ -54,7 +54,7 @@ We've included/collected install instructions for Ubuntu, MacOS, and Windows. Th
 OS Specific steps are listed first, the common section below is necessary for all systems.
 
 !!! Note
-    Python3.10 or higher and the corresponding pip are assumed to be available.
+    Python3.11 or higher and the corresponding pip are assumed to be available.
 
 === "Debian/Ubuntu"
     #### Install necessary dependencies
@@ -179,7 +179,7 @@ You can as well update, configure and reset the codebase of your bot with `./scr
 ** --install **
 
 With this option, the script will install the bot and most dependencies:
-You will need to have git and python3.10+ installed beforehand for this to work.
+You will need to have git and python3.11+ installed beforehand for this to work.
 
 * Mandatory software as: `ta-lib`
 * Setup your virtualenv under `.venv/`

docs/overrides/main.html

@@ -37,7 +37,6 @@
     {{ super() }}
 
     <!-- Place this tag in your head or just before your close body tag. -->
-    <script async defer src="https://buttons.github.io/buttons.js"></script>
     <script src="https://code.jquery.com/jquery-3.4.1.min.js"
       integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
 

docs/requirements-docs.txt

@@ -1,7 +1,7 @@
-markdown==3.8
+markdown==3.8.2
 mkdocs==1.6.1
-mkdocs-material==9.6.14
+mkdocs-material==9.6.15
 mdx_truly_sane_lists==1.3
-pymdown-extensions==10.15
+pymdown-extensions==10.16
 jinja2==3.1.6
 mike==2.1.3

docs/strategy-advanced.md

@@ -174,17 +174,27 @@ class AwesomeStrategy(IStrategy):
 
 ## Enter Tag
 
-When your strategy has multiple buy signals, you can name the signal that triggered.
+When your strategy has multiple entry signals, you can name the signal that triggered.
-Then you can access your buy signal on `custom_exit`
+Then you can access your entry signal on `custom_exit`
 
 ```python
 def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+    dataframe["enter_tag"] = ""
+    signal_rsi = (qtpylib.crossed_above(dataframe["rsi"], 35))
+    signal_bblower = (dataframe["bb_lowerband"] < dataframe["close"])
+    # Additional conditions
     dataframe.loc[
         (
-            (dataframe['rsi'] < 35) &
+            signal_rsi
-            (dataframe['volume'] > 0)
+            | signal_bblower
-        ),
+            # ... additional signals to enter a long position
-        ['enter_long', 'enter_tag']] = (1, 'buy_signal_rsi')
+        )
+        & (dataframe["volume"] > 0)
+            , "enter_long"
+        ] = 1
+    # Concatenate the tags so all signals are kept
+    dataframe.loc[signal_rsi, "enter_tag"] += "long_signal_rsi "
+    dataframe.loc[signal_bblower, "enter_tag"] += "long_signal_bblower "
 
     return dataframe
 
@@ -192,14 +202,17 @@ def custom_exit(self, pair: str, trade: Trade, current_time: datetime, current_r
                 current_profit: float, **kwargs):
     dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
     last_candle = dataframe.iloc[-1].squeeze()
-    if trade.enter_tag == 'buy_signal_rsi' and last_candle['rsi'] > 80:
+    if "long_signal_rsi" in trade.enter_tag and last_candle["rsi"] > 80:
-        return 'sell_signal_rsi'
+        return "exit_signal_rsi"
+    if "long_signal_bblower" in trade.enter_tag and last_candle["high"] > last_candle["bb_upperband"]:
+        return "exit_signal_bblower"
+    # ...
     return None
 
 ```
 
 !!! Note
-    `enter_tag` is limited to 100 characters, remaining data will be truncated.
+    `enter_tag` is limited to 255 characters, remaining data will be truncated.
 
 !!! Warning
     There is only one `enter_tag` column, which is used for both long and short trades.
@@ -213,17 +226,27 @@ Similar to [Entry Tagging](#enter-tag), you can also specify an exit tag.
 
 ``` python
 def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+    dataframe["exit_tag"] = ""
+    rsi_exit_signal = (dataframe["rsi"] > 70)
+    ema_exit_signal  = (dataframe["ema20"] < dataframe["ema50"])
+    # Additional conditions
     dataframe.loc[
         (
-            (dataframe['rsi'] > 70) &
+            rsi_exit_signal
-            (dataframe['volume'] > 0)
+            | ema_exit_signal
-        ),
+            # ... additional signals to exit a long position
-        ['exit_long', 'exit_tag']] = (1, 'exit_rsi')
+        ) &
+        (dataframe["volume"] > 0)
+        ,
+    "exit_long"] = 1
+    # Concatenate the tags so all signals are kept
+    dataframe.loc[rsi_exit_signal, "exit_tag"] += "exit_signal_rsi "
+    dataframe.loc[rsi_exit_signal2, "exit_tag"] += "exit_signal_rsi "
 
     return dataframe
 ```
 
-The provided exit-tag is then used as sell-reason - and shown as such in backtest results.
+The provided exit-tag is then used as exit-reason - and shown as such in backtest results.
 
 !!! Note
     `exit_reason` is limited to 100 characters, remaining data will be truncated.

docs/stylesheets/ft.extra.css

@@ -19,3 +19,31 @@
 #available-endpoints ~ .md-typeset__scrollwrap .md-typeset__table th:first-of-type {
     width: 35% !important;
 }
+
+
+.md-typeset .md-button--sm {
+    padding: 0.2em 1em;
+    font-size: 12px;
+    font-weight: 600;
+    background-color: #f6f8fa;
+    color: #24292f;
+    border: 1px solid #d0d7de;
+    border-radius: 0.25em;
+    text-decoration: none;
+    display: inline-block;
+    transition: all 0.2s ease;
+    cursor: pointer;
+}
+
+.md-typeset .md-button--sm:hover {
+    background-color: #e5eaee;
+    border-color: #d1d9e0;
+    text-decoration: none;
+    color: #24292f;
+}
+
+.md-typeset .md-button--sm:active {
+    background-color: #ebecf0;
+    border-color: #afb8c1;
+    box-shadow: inset 0 1px 0 rgba(175, 184, 193, 0.2);
+}

docs/windows_installation.md

@@ -5,7 +5,7 @@ We **strongly** recommend that Windows users use [Docker](docker_quickstart.md)
 If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work.
 Otherwise, please follow the instructions below.
 
-All instructions assume that python 3.10+ is installed and available.
+All instructions assume that python 3.11+ is installed and available.
 
 ## Clone the git repository
 
@@ -42,7 +42,7 @@ cd freqtrade
 
 Install ta-lib according to the [ta-lib documentation](https://github.com/TA-Lib/ta-lib-python#windows).
 
-As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), Freqtrade provides these dependencies (in the binary wheel format) for the latest 3 Python versions (3.10, 3.11, 3.12 and 3.13) and for 64bit Windows.
+As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), Freqtrade provides these dependencies (in the binary wheel format) for the latest 3 Python versions (3.11, 3.12 and 3.13) and for 64bit Windows.
 These Wheels are also used by CI running on windows, and are therefore tested together with freqtrade.
 
 Other versions must be downloaded from the above link.

freqtrade/__init__.py

@@ -1,6 +1,6 @@
 """Freqtrade bot"""
 
-__version__ = "2025.6-dev"
+__version__ = "2025.7-dev"
 
 if "dev" in __version__:
     from pathlib import Path

freqtrade/__main__.py

@@ -3,7 +3,7 @@
 __main__.py for Freqtrade
 To launch Freqtrade as a module
 
-> python -m freqtrade (with Python >= 3.10)
+> python -m freqtrade (with Python >= 3.11)
 """
 
 from freqtrade import main

freqtrade/configuration/__init__.py

@@ -1,6 +1,6 @@
 # flake8: noqa: F401
 
-from freqtrade.configuration.config_secrets import sanitize_config
+from freqtrade.configuration.config_secrets import remove_exchange_credentials, sanitize_config
 from freqtrade.configuration.config_setup import setup_utils_configuration
 from freqtrade.configuration.config_validation import validate_config_consistency
 from freqtrade.configuration.configuration import Configuration

freqtrade/configuration/config_secrets.py

@@ -1,6 +1,27 @@
 from copy import deepcopy
 
-from freqtrade.constants import Config
+from freqtrade.constants import Config, ExchangeConfig
+
+
+_SENSITIVE_KEYS = [
+    "exchange.key",
+    "exchange.api_key",
+    "exchange.apiKey",
+    "exchange.secret",
+    "exchange.password",
+    "exchange.uid",
+    "exchange.account_id",
+    "exchange.accountId",
+    "exchange.wallet_address",
+    "exchange.walletAddress",
+    "exchange.private_key",
+    "exchange.privateKey",
+    "telegram.token",
+    "telegram.chat_id",
+    "discord.webhook_url",
+    "api_server.password",
+    "webhook.url",
+]
 
 
 def sanitize_config(config: Config, *, show_sensitive: bool = False) -> Config:
@@ -12,27 +33,8 @@ def sanitize_config(config: Config, *, show_sensitive: bool = False) -> Config:
     """
     if show_sensitive:
         return config
-    keys_to_remove = [
-        "exchange.key",
-        "exchange.api_key",
-        "exchange.apiKey",
-        "exchange.secret",
-        "exchange.password",
-        "exchange.uid",
-        "exchange.account_id",
-        "exchange.accountId",
-        "exchange.wallet_address",
-        "exchange.walletAddress",
-        "exchange.private_key",
-        "exchange.privateKey",
-        "telegram.token",
-        "telegram.chat_id",
-        "discord.webhook_url",
-        "api_server.password",
-        "webhook.url",
-    ]
     config = deepcopy(config)
-    for key in keys_to_remove:
+    for key in _SENSITIVE_KEYS:
         if "." in key:
             nested_keys = key.split(".")
             nested_config = config
@@ -45,3 +47,21 @@ def sanitize_config(config: Config, *, show_sensitive: bool = False) -> Config:
                 config[key] = "REDACTED"
 
     return config
+
+
+def remove_exchange_credentials(exchange_config: ExchangeConfig, dry_run: bool) -> None:
+    """
+    Removes exchange keys from the configuration and specifies dry-run
+    Used for backtesting / hyperopt and utils.
+    Modifies the input dict!
+    :param exchange_config: Exchange configuration
+    :param dry_run: If True, remove sensitive keys from the exchange configuration
+    """
+    if not dry_run:
+        return
+
+    for key in [k for k in _SENSITIVE_KEYS if k.startswith("exchange.")]:
+        if "." in key:
+            key1 = key.removeprefix("exchange.")
+            if key1 in exchange_config:
+                exchange_config[key1] = ""

freqtrade/configuration/timerange.py

@@ -4,9 +4,8 @@ This module contains the argument manager class
 
 import logging
 import re
-from datetime import datetime, timezone
+from datetime import UTC, datetime
-
+from typing import Self
-from typing_extensions import Self
 
 from freqtrade.constants import DATETIME_PRINT_FORMAT
 from freqtrade.exceptions import ConfigurationError
@@ -151,9 +150,7 @@ class TimeRange:
                     starts = rvals[index]
                     if stype[0] == "date" and len(starts) == 8:
                         start = int(
-                            datetime.strptime(starts, "%Y%m%d")
+                            datetime.strptime(starts, "%Y%m%d").replace(tzinfo=UTC).timestamp()
-                            .replace(tzinfo=timezone.utc)
-                            .timestamp()
                         )
                     elif len(starts) == 13:
                         start = int(starts) // 1000
@@ -164,9 +161,7 @@ class TimeRange:
                     stops = rvals[index]
                     if stype[1] == "date" and len(stops) == 8:
                         stop = int(
-                            datetime.strptime(stops, "%Y%m%d")
+                            datetime.strptime(stops, "%Y%m%d").replace(tzinfo=UTC).timestamp()
-                            .replace(tzinfo=timezone.utc)
-                            .timestamp()
                         )
                     elif len(stops) == 13:
                         stop = int(stops) // 1000

freqtrade/data/btanalysis/bt_fileutils.py

@@ -5,7 +5,7 @@ Helpers when analyzing backtest data
 import logging
 import zipfile
 from copy import copy
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from io import BytesIO, StringIO
 from pathlib import Path
 from typing import Any, Literal
@@ -324,7 +324,7 @@ def find_existing_backtest_stats(
 
             if min_backtest_date is not None:
                 backtest_date = strategy_metadata["backtest_start_time"]
-                backtest_date = datetime.fromtimestamp(backtest_date, tz=timezone.utc)
+                backtest_date = datetime.fromtimestamp(backtest_date, tz=UTC)
                 if backtest_date < min_backtest_date:
                     # Do not use a cached result for this strategy as first result is too old.
                     del run_ids[strategy_name]

freqtrade/data/dataprovider.py

@@ -7,7 +7,7 @@ Common Interface for bot and strategy to access data.
 
 import logging
 from collections import deque
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from typing import Any
 
 from pandas import DataFrame, Timedelta, Timestamp, to_timedelta
@@ -98,7 +98,7 @@ class DataProvider:
         :param candle_type: Any of the enum CandleType (must match trading mode!)
         """
         pair_key = (pair, timeframe, candle_type)
-        self.__cached_pairs[pair_key] = (dataframe, datetime.now(timezone.utc))
+        self.__cached_pairs[pair_key] = (dataframe, datetime.now(UTC))
 
     # For multiple producers we will want to merge the pairlists instead of overwriting
     def _set_producer_pairs(self, pairlist: list[str], producer_name: str = "default"):
@@ -131,7 +131,7 @@ class DataProvider:
                 "data": {
                     "key": pair_key,
                     "df": dataframe.tail(1),
-                    "la": datetime.now(timezone.utc),
+                    "la": datetime.now(UTC),
                 },
             }
             self.__rpc.send_msg(msg)
@@ -164,7 +164,7 @@ class DataProvider:
         if producer_name not in self.__producer_pairs_df:
             self.__producer_pairs_df[producer_name] = {}
 
-        _last_analyzed = datetime.now(timezone.utc) if not last_analyzed else last_analyzed
+        _last_analyzed = datetime.now(UTC) if not last_analyzed else last_analyzed
 
         self.__producer_pairs_df[producer_name][pair_key] = (dataframe, _last_analyzed)
         logger.debug(f"External DataFrame for {pair_key} from {producer_name} added.")
@@ -275,12 +275,12 @@ class DataProvider:
         # If we have no data from this Producer yet
         if producer_name not in self.__producer_pairs_df:
             # We don't have this data yet, return empty DataFrame and datetime (01-01-1970)
-            return (DataFrame(), datetime.fromtimestamp(0, tz=timezone.utc))
+            return (DataFrame(), datetime.fromtimestamp(0, tz=UTC))
 
         # If we do have data from that Producer, but no data on this pair_key
         if pair_key not in self.__producer_pairs_df[producer_name]:
             # We don't have this data yet, return empty DataFrame and datetime (01-01-1970)
-            return (DataFrame(), datetime.fromtimestamp(0, tz=timezone.utc))
+            return (DataFrame(), datetime.fromtimestamp(0, tz=UTC))
 
         # We have it, return this data
         df, la = self.__producer_pairs_df[producer_name][pair_key]
@@ -396,10 +396,10 @@ class DataProvider:
                 if (max_index := self.__slice_index.get(pair)) is not None:
                     df = df.iloc[max(0, max_index - MAX_DATAFRAME_CANDLES) : max_index]
                 else:
-                    return (DataFrame(), datetime.fromtimestamp(0, tz=timezone.utc))
+                    return (DataFrame(), datetime.fromtimestamp(0, tz=UTC))
             return df, date
         else:
-            return (DataFrame(), datetime.fromtimestamp(0, tz=timezone.utc))
+            return (DataFrame(), datetime.fromtimestamp(0, tz=UTC))
 
     @property
     def runmode(self) -> RunMode:

freqtrade/data/history/datahandlers/idatahandler.py

@@ -8,7 +8,7 @@ import logging
 import re
 from abc import ABC, abstractmethod
 from copy import deepcopy
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 
 from pandas import DataFrame, to_datetime
@@ -118,8 +118,8 @@ class IDataHandler(ABC):
         df = self._ohlcv_load(pair, timeframe, None, candle_type)
         if df.empty:
             return (
-                datetime.fromtimestamp(0, tz=timezone.utc),
+                datetime.fromtimestamp(0, tz=UTC),
-                datetime.fromtimestamp(0, tz=timezone.utc),
+                datetime.fromtimestamp(0, tz=UTC),
                 0,
             )
         return df.iloc[0]["date"].to_pydatetime(), df.iloc[-1]["date"].to_pydatetime(), len(df)
@@ -201,8 +201,8 @@ class IDataHandler(ABC):
         df = self._trades_load(pair, trading_mode)
         if df.empty:
             return (
-                datetime.fromtimestamp(0, tz=timezone.utc),
+                datetime.fromtimestamp(0, tz=UTC),
-                datetime.fromtimestamp(0, tz=timezone.utc),
+                datetime.fromtimestamp(0, tz=UTC),
                 0,
             )
         return (

freqtrade/enums/marginmode.py

@@ -13,4 +13,4 @@ class MarginMode(str, Enum):
     NONE = ""
 
     def __str__(self):
-        return f"{self.name.lower()}"
+        return f"{self.value.lower()}"

freqtrade/exchange/__init__.py

@@ -1,6 +1,6 @@
 # flake8: noqa: F401
 # isort: off
-from freqtrade.exchange.common import remove_exchange_credentials, MAP_EXCHANGE_CHILDCLASS
+from freqtrade.exchange.common import MAP_EXCHANGE_CHILDCLASS
 from freqtrade.exchange.exchange import Exchange
 
 # isort: on
@@ -43,4 +43,5 @@ from freqtrade.exchange.idex import Idex
 from freqtrade.exchange.kraken import Kraken
 from freqtrade.exchange.kucoin import Kucoin
 from freqtrade.exchange.lbank import Lbank
+from freqtrade.exchange.luno import Luno
 from freqtrade.exchange.okx import Okx

freqtrade/exchange/binance.py

@@ -1,7 +1,7 @@
 """Binance exchange subclass"""
 
 import logging
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 
 import ccxt
@@ -160,7 +160,7 @@ class Binance(Exchange):
                 since_ms = x[3][0][0]
                 logger.info(
                     f"Candle-data for {pair} available starting with "
-                    f"{datetime.fromtimestamp(since_ms // 1000, tz=timezone.utc).isoformat()}."
+                    f"{datetime.fromtimestamp(since_ms // 1000, tz=UTC).isoformat()}."
                 )
                 if until_ms and since_ms >= until_ms:
                     logger.warning(
@@ -399,7 +399,7 @@ class Binance(Exchange):
                 trades = await self._api_async.fetch_trades(
                     pair,
                     params={
-                        self._trades_pagination_arg: "0",
+                        self._ft_has["trades_pagination_arg"]: "0",
                     },
                     limit=5,
                 )

freqtrade/exchange/bitpanda.py

@@ -1,7 +1,7 @@
 """Bitpanda exchange subclass"""
 
 import logging
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 from freqtrade.exchange import Exchange
 
@@ -34,5 +34,5 @@ class Bitpanda(Exchange):
         :param pair: Pair the order is for
         :param since: datetime object of the order creation time. Assumes object is in UTC.
         """
-        params = {"to": int(datetime.now(timezone.utc).timestamp() * 1000)}
+        params = {"to": int(datetime.now(UTC).timestamp() * 1000)}
         return super().get_trades_for_order(order_id, pair, since, params)

freqtrade/exchange/common.py

@@ -5,7 +5,6 @@ from collections.abc import Callable
 from functools import wraps
 from typing import Any, TypeVar, cast, overload
 
-from freqtrade.constants import ExchangeConfig
 from freqtrade.exceptions import DDosProtection, RetryableOrderError, TemporaryError
 from freqtrade.mixins import LoggingMixin
 
@@ -104,20 +103,6 @@ EXCHANGE_HAS_OPTIONAL = [
 ]
 
 
-def remove_exchange_credentials(exchange_config: ExchangeConfig, dry_run: bool) -> None:
-    """
-    Removes exchange keys from the configuration and specifies dry-run
-    Used for backtesting / hyperopt and utils.
-    Modifies the input dict!
-    """
-    if dry_run:
-        exchange_config["key"] = ""
-        exchange_config["apiKey"] = ""
-        exchange_config["secret"] = ""
-        exchange_config["password"] = ""
-        exchange_config["uid"] = ""
-
-
 def calculate_backoff(retrycount, max_retries):
     """
     Calculate backoff

freqtrade/exchange/exchange.py

@@ -9,7 +9,7 @@ import logging
 import signal
 from collections.abc import Coroutine, Generator
 from copy import deepcopy
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from math import floor, isnan
 from threading import Lock
 from typing import Any, Literal, TypeGuard, TypeVar
@@ -21,6 +21,7 @@ from ccxt import TICK_SIZE
 from dateutil import parser
 from pandas import DataFrame, concat
 
+from freqtrade.configuration import remove_exchange_credentials
 from freqtrade.constants import (
     DEFAULT_AMOUNT_RESERVE_PERCENT,
     DEFAULT_TRADES_COLUMNS,
@@ -64,7 +65,6 @@ from freqtrade.exceptions import (
 )
 from freqtrade.exchange.common import (
     API_FETCH_ORDER_RETRY_COUNT,
-    remove_exchange_credentials,
     retrier,
     retrier_async,
 )
@@ -137,6 +137,7 @@ class Exchange:
         "ohlcv_has_history": True,  # Some exchanges (Kraken) don't provide history via ohlcv
         "ohlcv_partial_candle": True,
         "ohlcv_require_since": False,
+        "always_require_api_keys": False,  # purge API keys for Dry-run. Must default to false.
         # Check https://github.com/ccxt/ccxt/issues/10767 for removal of ohlcv_volume_currency
         "ohlcv_volume_currency": "base",  # "base" or "quote"
         "tickers_have_quoteVolume": True,
@@ -199,6 +200,19 @@ class Exchange:
 
         self._config.update(config)
 
+        # Leverage properties
+        self.trading_mode: TradingMode = config.get("trading_mode", TradingMode.SPOT)
+        self.margin_mode: MarginMode = (
+            MarginMode(config.get("margin_mode")) if config.get("margin_mode") else MarginMode.NONE
+        )
+        self.liquidation_buffer = config.get("liquidation_buffer", 0.05)
+
+        exchange_conf: ExchangeConfig = exchange_config if exchange_config else config["exchange"]
+
+        # Deep merge ft_has with default ft_has options
+        # Must be called before ft_has is used.
+        self.build_ft_has(exchange_conf)
+
         # Holds last candle refreshed time of each pair
         self._pairs_last_refresh_time: dict[PairWithTimeframe, int] = {}
         # Timestamp of last markets refresh
@@ -227,33 +241,17 @@ class Exchange:
         if config["dry_run"]:
             logger.info("Instance is running with dry_run enabled")
         logger.info(f"Using CCXT {ccxt.__version__}")
-        exchange_conf: dict[str, Any] = exchange_config if exchange_config else config["exchange"]
-        remove_exchange_credentials(exchange_conf, config.get("dry_run", False))
-        self.log_responses = exchange_conf.get("log_responses", False)
 
-        # Leverage properties
+        # Don't remove exchange credentials for dry-run or if always_require_api_keys is set
-        self.trading_mode: TradingMode = config.get("trading_mode", TradingMode.SPOT)
+        remove_exchange_credentials(
-        self.margin_mode: MarginMode = (
+            exchange_conf,
-            MarginMode(config.get("margin_mode")) if config.get("margin_mode") else MarginMode.NONE
+            not self._ft_has["always_require_api_keys"] and config.get("dry_run", False),
         )
-        self.liquidation_buffer = config.get("liquidation_buffer", 0.05)
+        self.log_responses = exchange_conf.get("log_responses", False)
-
-        # Deep merge ft_has with default ft_has options
-        self._ft_has = deep_merge_dicts(self._ft_has, deepcopy(self._ft_has_default))
-        if self.trading_mode == TradingMode.FUTURES:
-            self._ft_has = deep_merge_dicts(self._ft_has_futures, self._ft_has)
-        if exchange_conf.get("_ft_has_params"):
-            self._ft_has = deep_merge_dicts(exchange_conf.get("_ft_has_params"), self._ft_has)
-            logger.info("Overriding exchange._ft_has with config params, result: %s", self._ft_has)
 
         # Assign this directly for easy access
         self._ohlcv_partial_candle = self._ft_has["ohlcv_partial_candle"]
 
-        self._max_trades_limit = self._ft_has["trades_limit"]
-
-        self._trades_pagination = self._ft_has["trades_pagination"]
-        self._trades_pagination_arg = self._ft_has["trades_pagination_arg"]
-
         # Initialize ccxt objects
         ccxt_config = self._ccxt_config
         ccxt_config = deep_merge_dicts(exchange_conf.get("ccxt_config", {}), ccxt_config)
@@ -657,7 +655,7 @@ class Exchange:
             if isinstance(markets, Exception):
                 raise markets
             return None
-        except asyncio.TimeoutError as e:
+        except TimeoutError as e:
             logger.warning("Could not load markets. Reason: %s", e)
             raise TemporaryError from e
 
@@ -877,10 +875,24 @@ class Exchange:
             (trading_mode, margin_mode) not in self._supported_trading_mode_margin_pairs
         ):
             mm_value = margin_mode and margin_mode.value
-            raise OperationalException(
+            raise ConfigurationError(
-                f"Freqtrade does not support {mm_value} {trading_mode} on {self.name}"
+                f"Freqtrade does not support '{mm_value}' '{trading_mode}' on {self.name}."
             )
 
+    def build_ft_has(self, exchange_conf: ExchangeConfig) -> None:
+        """
+        Deep merge ft_has with default ft_has options
+        and with exchange_conf._ft_has_params if available.
+        This is called on initialization of the exchange object.
+        It must be called before ft_has is used.
+        """
+        self._ft_has = deep_merge_dicts(self._ft_has, deepcopy(self._ft_has_default))
+        if self.trading_mode == TradingMode.FUTURES:
+            self._ft_has = deep_merge_dicts(self._ft_has_futures, self._ft_has)
+        if exchange_conf.get("_ft_has_params"):
+            self._ft_has = deep_merge_dicts(exchange_conf.get("_ft_has_params"), self._ft_has)
+            logger.info("Overriding exchange._ft_has with config params, result: %s", self._ft_has)
+
     def get_option(self, param: str, default: Any | None = None) -> Any:
         """
         Get parameter value from _ft_has
@@ -2208,7 +2220,7 @@ class Exchange:
             _params = params if params else {}
             my_trades = self._api.fetch_my_trades(
                 pair,
-                int((since.replace(tzinfo=timezone.utc).timestamp() - 5) * 1000),
+                int((since.replace(tzinfo=UTC).timestamp() - 5) * 1000),
                 params=_params,
             )
             matched_trades = [trade for trade in my_trades if trade["order"] == order_id]
@@ -2995,7 +3007,7 @@ class Exchange:
         returns: List of dicts containing trades, the next iteration value (new "since" or trade_id)
         """
         try:
-            trades_limit = self._max_trades_limit
+            trades_limit = self._ft_has["trades_limit"]
             # fetch trades asynchronously
             if params:
                 logger.debug("Fetching trades for pair %s, params: %s ", pair, params)
@@ -3039,7 +3051,7 @@ class Exchange:
         """
         if not trades:
             return None
-        if self._trades_pagination == "id":
+        if self._ft_has["trades_pagination"] == "id":
             return trades[-1].get("id")
         else:
             return trades[-1].get("timestamp")
@@ -3057,7 +3069,7 @@ class Exchange:
     ) -> tuple[str, list[list]]:
         """
         Asynchronously gets trade history using fetch_trades
-        use this when exchange uses id-based iteration (check `self._trades_pagination`)
+        use this when exchange uses id-based iteration (check `self._ft_has["trades_pagination"]`)
         :param pair: Pair to fetch trade data for
         :param since: Since as integer timestamp in milliseconds
         :param until: Until as integer timestamp in milliseconds
@@ -3083,7 +3095,7 @@ class Exchange:
         while True:
             try:
                 t, from_id_next = await self._async_fetch_trades(
-                    pair, params={self._trades_pagination_arg: from_id}
+                    pair, params={self._ft_has["trades_pagination_arg"]: from_id}
                 )
                 if t:
                     trades.extend(t[x])
@@ -3111,7 +3123,7 @@ class Exchange:
     ) -> tuple[str, list[list]]:
         """
         Asynchronously gets trade history using fetch_trades,
-        when the exchange uses time-based iteration (check `self._trades_pagination`)
+        when the exchange uses time-based iteration (check `self._ft_has["trades_pagination"]`)
         :param pair: Pair to fetch trade data for
         :param since: Since as integer timestamp in milliseconds
         :param until: Until as integer timestamp in milliseconds
@@ -3165,9 +3177,9 @@ class Exchange:
             until = ccxt.Exchange.milliseconds()
             logger.debug(f"Exchange milliseconds: {until}")
 
-        if self._trades_pagination == "time":
+        if self._ft_has["trades_pagination"] == "time":
             return await self._async_get_trade_history_time(pair=pair, since=since, until=until)
-        elif self._trades_pagination == "id":
+        elif self._ft_has["trades_pagination"] == "id":
             return await self._async_get_trade_history_id(
                 pair=pair, since=since, until=until, from_id=from_id
             )
@@ -3335,7 +3347,7 @@ class Exchange:
         if not filename.parent.is_dir():
             filename.parent.mkdir(parents=True)
         data = {
-            "updated": datetime.now(timezone.utc),
+            "updated": datetime.now(UTC),
             "data": tiers,
         }
         file_dump_json(filename, data)
@@ -3357,7 +3369,7 @@ class Exchange:
                 updated = tiers.get("updated")
                 if updated:
                     updated_dt = parser.parse(updated)
-                    if updated_dt < datetime.now(timezone.utc) - cache_time:
+                    if updated_dt < datetime.now(UTC) - cache_time:
                         logger.info("Cached leverage tiers are outdated. Will update.")
                         return None
                 return tiers.get("data")
@@ -3416,20 +3428,30 @@ class Exchange:
             # Find the appropriate tier based on stake_amount
             prior_max_lev = None
             for tier in pair_tiers:
+                # Adjust notional by leverage to do a proper comparison
                 min_stake = tier["minNotional"] / (prior_max_lev or tier["maxLeverage"])
                 max_stake = tier["maxNotional"] / tier["maxLeverage"]
                 prior_max_lev = tier["maxLeverage"]
-                # Adjust notional by leverage to do a proper comparison
                 if min_stake <= stake_amount <= max_stake:
                     return tier["maxLeverage"]
+                if stake_amount < min_stake and stake_amount <= max_stake:
+                    # TODO: Remove this warning eventually
+                    # Code could be simplified by removing the check for min-stake in the above
+                    # condition, making this branch unnecessary.
+                    logger.warning(
+                        f"Fallback to next higher leverage tier for {pair}, stake: {stake_amount}, "
+                        f"min_stake: {min_stake}."
+                    )
+                    return tier["maxLeverage"]
 
             #     else:  # if on the last tier
             if stake_amount > max_stake:
                 # If stake is > than max tradeable amount
-                raise InvalidOrderException(f"Amount {stake_amount} too high for {pair}")
+                raise InvalidOrderException(f"Stake amount {stake_amount} too high for {pair}")
 
             raise OperationalException(
-                "Looped through all tiers without finding a max leverage. Should never be reached"
+                f"Looped through all tiers without finding a max leverage for {pair}. "
+                "Should never be reached."
             )
 
         elif self.trading_mode == TradingMode.MARGIN:  # Search markets.limits for max lev
@@ -3571,7 +3593,7 @@ class Exchange:
         mark_price_type = CandleType.from_string(self._ft_has["mark_ohlcv_price"])
 
         if not close_date:
-            close_date = datetime.now(timezone.utc)
+            close_date = datetime.now(UTC)
         since_ms = dt_ts(timeframe_to_prev_date(timeframe, open_date))
 
         mark_comb: PairWithTimeframe = (pair, timeframe, mark_price_type)

freqtrade/exchange/exchange_types.py

@@ -24,6 +24,7 @@ class FtHas(TypedDict, total=False):
     ohlcv_require_since: bool
     ohlcv_volume_currency: str
     ohlcv_candle_limit_per_timeframe: dict[str, int]
+    always_require_api_keys: bool
     # Tickers
     tickers_have_quoteVolume: bool
     tickers_have_percentage: bool

freqtrade/exchange/exchange_utils.py

@@ -3,7 +3,7 @@ Exchange support utils
 """
 
 import inspect
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from math import ceil, floor, isnan
 from typing import Any
 
@@ -148,7 +148,7 @@ def date_minus_candles(timeframe: str, candle_count: int, date: datetime | None
 
     """
     if not date:
-        date = datetime.now(timezone.utc)
+        date = datetime.now(UTC)
 
     tf_min = timeframe_to_minutes(timeframe)
     new_date = timeframe_to_prev_date(timeframe, date) - timedelta(minutes=tf_min * candle_count)

freqtrade/exchange/exchange_utils_timeframe.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 import ccxt
 from ccxt import ROUND_DOWN, ROUND_UP
@@ -59,7 +59,7 @@ def timeframe_to_prev_date(timeframe: str, date: datetime | None = None) -> date
     :returns: date of previous candle (with utc timezone)
     """
     if not date:
-        date = datetime.now(timezone.utc)
+        date = datetime.now(UTC)
 
     new_timestamp = ccxt.Exchange.round_timeframe(timeframe, dt_ts(date), ROUND_DOWN) // 1000
     return dt_from_ts(new_timestamp)
@@ -73,6 +73,6 @@ def timeframe_to_next_date(timeframe: str, date: datetime | None = None) -> date
     :returns: date of next candle (with utc timezone)
     """
     if not date:
-        date = datetime.now(timezone.utc)
+        date = datetime.now(UTC)
     new_timestamp = ccxt.Exchange.round_timeframe(timeframe, dt_ts(date), ROUND_UP) // 1000
     return dt_from_ts(new_timestamp)

freqtrade/exchange/luno.py

@@ -0,0 +1,24 @@
+import logging
+
+from freqtrade.exchange import Exchange
+from freqtrade.exchange.exchange_types import FtHas
+
+
+logger = logging.getLogger(__name__)
+
+
+class Luno(Exchange):
+    """
+    Luno exchange class. Contains adjustments needed for Freqtrade to work
+    with this exchange.
+
+    Please note that this exchange is not included in the list of exchanges
+    officially supported by the Freqtrade development team. So some features
+    may still not work as expected.
+    """
+
+    _ft_has: FtHas = {
+        "ohlcv_has_history": False,  # Only provides the last 1000 candles
+        "always_require_api_keys": True,  # Requires API keys to fetch candles
+        "trades_has_history": False,  # Only the last 24h are available
+    }

freqtrade/freqai/RL/BaseReinforcementLearningModel.py

@@ -3,7 +3,7 @@ import importlib
 import logging
 from abc import abstractmethod
 from collections.abc import Callable
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any
 
@@ -239,7 +239,7 @@ class BaseReinforcementLearningModel(IFreqaiModel):
                         pair, refresh=False, side="exit", is_short=trade.is_short
                     )
 
-                now = datetime.now(timezone.utc).timestamp()
+                now = datetime.now(UTC).timestamp()
                 trade_duration = int((now - trade.open_date_utc.timestamp()) / self.base_tf_seconds)
                 current_profit = trade.calc_profit_ratio(current_rate)
                 if trade.is_short:

freqtrade/freqai/data_drawer.py

@@ -5,7 +5,7 @@ import re
 import shutil
 import threading
 import warnings
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from pathlib import Path
 from typing import Any, TypedDict
 
@@ -116,7 +116,7 @@ class FreqaiDataDrawer:
             if metric not in self.metric_tracker[pair]:
                 self.metric_tracker[pair][metric] = {"timestamp": [], "value": []}
 
-            timestamp = int(datetime.now(timezone.utc).timestamp())
+            timestamp = int(datetime.now(UTC).timestamp())
             self.metric_tracker[pair][metric]["value"].append(value)
             self.metric_tracker[pair][metric]["timestamp"].append(timestamp)
 

freqtrade/freqai/data_kitchen.py

@@ -3,7 +3,7 @@ import inspect
 import logging
 import random
 import shutil
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any
 
@@ -341,7 +341,7 @@ class FreqaiDataKitchen:
         full_timerange = TimeRange.parse_timerange(tr)
         config_timerange = TimeRange.parse_timerange(self.config["timerange"])
         if config_timerange.stopts == 0:
-            config_timerange.stopts = int(datetime.now(tz=timezone.utc).timestamp())
+            config_timerange.stopts = int(datetime.now(tz=UTC).timestamp())
         timerange_train = copy.deepcopy(full_timerange)
         timerange_backtest = copy.deepcopy(full_timerange)
 
@@ -525,7 +525,7 @@ class FreqaiDataKitchen:
         :return:
             bool = If the model is expired or not.
         """
-        time = datetime.now(tz=timezone.utc).timestamp()
+        time = datetime.now(tz=UTC).timestamp()
         elapsed_time = (time - trained_timestamp) / 3600  # hours
         max_time = self.freqai_config.get("expiration_hours", 0)
         if max_time > 0:
@@ -536,7 +536,7 @@ class FreqaiDataKitchen:
     def check_if_new_training_required(
         self, trained_timestamp: int
     ) -> tuple[bool, TimeRange, TimeRange]:
-        time = datetime.now(tz=timezone.utc).timestamp()
+        time = datetime.now(tz=UTC).timestamp()
         trained_timerange = TimeRange()
         data_load_timerange = TimeRange()
 

freqtrade/freqai/freqai_interface.py

@@ -3,7 +3,7 @@ import threading
 import time
 from abc import ABC, abstractmethod
 from collections import deque
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any, Literal
 
@@ -76,7 +76,7 @@ class IFreqaiModel(ABC):
 
         self.dd = FreqaiDataDrawer(Path(self.full_path), self.config)
         # set current candle to arbitrary historical date
-        self.current_candle: datetime = datetime.fromtimestamp(637887600, tz=timezone.utc)
+        self.current_candle: datetime = datetime.fromtimestamp(637887600, tz=UTC)
         self.dd.current_candle = self.current_candle
         self.scanning = False
         self.ft_params = self.freqai_info["feature_parameters"]

freqtrade/freqai/utils.py

@@ -1,5 +1,5 @@
 import logging
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any
 
@@ -64,7 +64,7 @@ def get_required_data_timerange(config: Config) -> TimeRange:
     Used to compute the required data download time range
     for auto data-download in FreqAI
     """
-    time = datetime.now(tz=timezone.utc).timestamp()
+    time = datetime.now(tz=UTC).timestamp()
 
     timeframes = config["freqai"]["feature_parameters"].get("include_timeframes")
 

freqtrade/freqtradebot.py

@@ -5,7 +5,7 @@ Freqtrade is the main module of this bot. It contains the class Freqtrade()
 import logging
 import traceback
 from copy import deepcopy
-from datetime import datetime, time, timedelta, timezone
+from datetime import UTC, datetime, time, timedelta
 from math import isclose
 from threading import Lock
 from time import sleep
@@ -14,7 +14,7 @@ from typing import Any
 from schedule import Scheduler
 
 from freqtrade import constants
-from freqtrade.configuration import validate_config_consistency
+from freqtrade.configuration import remove_exchange_credentials, validate_config_consistency
 from freqtrade.constants import BuySell, Config, EntryExecuteMode, ExchangeConfig, LongShort
 from freqtrade.data.converter import order_book_to_dataframe
 from freqtrade.data.dataprovider import DataProvider
@@ -37,7 +37,6 @@ from freqtrade.exceptions import (
 from freqtrade.exchange import (
     ROUND_DOWN,
     ROUND_UP,
-    remove_exchange_credentials,
     timeframe_to_minutes,
     timeframe_to_next_date,
     timeframe_to_seconds,
@@ -267,7 +266,7 @@ class FreqtradeBot(LoggingMixin):
         )
 
         strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)(
-            current_time=datetime.now(timezone.utc)
+            current_time=datetime.now(UTC)
         )
 
         with self._measure_execution:
@@ -297,7 +296,7 @@ class FreqtradeBot(LoggingMixin):
         self._schedule.run_pending()
         Trade.commit()
         self.rpc.process_msg_queue(self.dataprovider._msg_queue)
-        self.last_process = datetime.now(timezone.utc)
+        self.last_process = datetime.now(UTC)
 
     def process_stopped(self) -> None:
         """
@@ -422,7 +421,7 @@ class FreqtradeBot(LoggingMixin):
 
             except InvalidOrderException as e:
                 logger.warning(f"Error updating Order {order.order_id} due to {e}.")
-                if order.order_date_utc - timedelta(days=5) < datetime.now(timezone.utc):
+                if order.order_date_utc - timedelta(days=5) < datetime.now(UTC):
                     logger.warning(
                         "Order is older than 5 days. Assuming order was fully cancelled."
                     )
@@ -756,7 +755,7 @@ class FreqtradeBot(LoggingMixin):
         logger.debug(f"Calling adjust_trade_position for pair {trade.pair}")
         stake_amount, order_tag = self.strategy._adjust_trade_position_internal(
             trade=trade,
-            current_time=datetime.now(timezone.utc),
+            current_time=datetime.now(UTC),
             current_rate=current_entry_rate,
             current_profit=current_entry_profit,
             min_stake=min_entry_stake,
@@ -917,7 +916,7 @@ class FreqtradeBot(LoggingMixin):
             amount=amount,
             rate=enter_limit_requested,
             time_in_force=time_in_force,
-            current_time=datetime.now(timezone.utc),
+            current_time=datetime.now(UTC),
             entry_tag=enter_tag,
             side=trade_side,
         ):
@@ -988,7 +987,7 @@ class FreqtradeBot(LoggingMixin):
         # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
         fee = self.exchange.get_fee(symbol=pair, taker_or_maker="maker")
         base_currency = self.exchange.get_pair_base_currency(pair)
-        open_date = datetime.now(timezone.utc)
+        open_date = datetime.now(UTC)
 
         funding_fees = self.exchange.get_funding_fees(
             pair=pair,
@@ -1107,7 +1106,7 @@ class FreqtradeBot(LoggingMixin):
             )(
                 pair=pair,
                 trade=trade,
-                current_time=datetime.now(timezone.utc),
+                current_time=datetime.now(UTC),
                 proposed_rate=enter_limit_requested,
                 entry_tag=entry_tag,
                 side=trade_side,
@@ -1125,7 +1124,7 @@ class FreqtradeBot(LoggingMixin):
             else:
                 leverage = strategy_safe_wrapper(self.strategy.leverage, default_retval=1.0)(
                     pair=pair,
-                    current_time=datetime.now(timezone.utc),
+                    current_time=datetime.now(UTC),
                     current_rate=enter_limit_requested,
                     proposed_leverage=1.0,
                     max_leverage=max_leverage,
@@ -1158,7 +1157,7 @@ class FreqtradeBot(LoggingMixin):
                 self.strategy.custom_stake_amount, default_retval=stake_amount
             )(
                 pair=pair,
-                current_time=datetime.now(timezone.utc),
+                current_time=datetime.now(UTC),
                 current_rate=enter_limit_requested,
                 proposed_stake=stake_amount,
                 min_stake=min_stake_amount,
@@ -1223,7 +1222,7 @@ class FreqtradeBot(LoggingMixin):
             "quote_currency": self.exchange.get_pair_quote_currency(trade.pair),
             "fiat_currency": self.config.get("fiat_display_currency", None),
             "amount": order.safe_amount_after_fee if fill else (order.safe_amount or trade.amount),
-            "open_date": trade.open_date_utc or datetime.now(timezone.utc),
+            "open_date": trade.open_date_utc or datetime.now(UTC),
             "current_rate": current_rate,
             "sub_trade": sub_trade,
         }
@@ -1362,7 +1361,7 @@ class FreqtradeBot(LoggingMixin):
         exits: list[ExitCheckTuple] = self.strategy.should_exit(
             trade,
             exit_rate,
-            datetime.now(timezone.utc),
+            datetime.now(UTC),
             enter=enter,
             exit_=exit_,
             force_stoploss=0,
@@ -1497,7 +1496,7 @@ class FreqtradeBot(LoggingMixin):
         if self.exchange.stoploss_adjust(stoploss_norm, order, side=trade.exit_side):
             # we check if the update is necessary
             update_beat = self.strategy.order_types.get("stoploss_on_exchange_interval", 60)
-            upd_req = datetime.now(timezone.utc) - timedelta(seconds=update_beat)
+            upd_req = datetime.now(UTC) - timedelta(seconds=update_beat)
             if trade.stoploss_last_update_utc and upd_req >= trade.stoploss_last_update_utc:
                 # cancelling the current stoploss on exchange first
                 logger.info(
@@ -1584,9 +1583,7 @@ class FreqtradeBot(LoggingMixin):
                 if not_closed:
                     if fully_cancelled or (
                         open_order
-                        and self.strategy.ft_check_timed_out(
+                        and self.strategy.ft_check_timed_out(trade, open_order, datetime.now(UTC))
-                            trade, open_order, datetime.now(timezone.utc)
-                        )
                     ):
                         self.handle_cancel_order(
                             order, open_order, trade, constants.CANCEL_REASON["TIMEOUT"]
@@ -1684,7 +1681,7 @@ class FreqtradeBot(LoggingMixin):
                 trade=trade,
                 order=order_obj,
                 pair=trade.pair,
-                current_time=datetime.now(timezone.utc),
+                current_time=datetime.now(UTC),
                 proposed_rate=proposed_rate,
                 current_order_rate=order_obj.safe_placement_price,
                 entry_tag=trade.enter_tag,
@@ -2076,7 +2073,7 @@ class FreqtradeBot(LoggingMixin):
         )(
             pair=trade.pair,
             trade=trade,
-            current_time=datetime.now(timezone.utc),
+            current_time=datetime.now(UTC),
             proposed_rate=proposed_limit_rate,
             current_profit=current_profit,
             exit_tag=exit_reason,
@@ -2107,7 +2104,7 @@ class FreqtradeBot(LoggingMixin):
                 time_in_force=time_in_force,
                 exit_reason=exit_reason,
                 sell_reason=exit_reason,  # sellreason -> compatibility
-                current_time=datetime.now(timezone.utc),
+                current_time=datetime.now(UTC),
             )
         ):
             logger.info(f"User denied exit for {trade.pair}.")
@@ -2203,7 +2200,7 @@ class FreqtradeBot(LoggingMixin):
             "enter_tag": trade.enter_tag,
             "exit_reason": trade.exit_reason,
             "open_date": trade.open_date_utc,
-            "close_date": trade.close_date_utc or datetime.now(timezone.utc),
+            "close_date": trade.close_date_utc or datetime.now(UTC),
             "stake_amount": trade.stake_amount,
             "stake_currency": self.config["stake_currency"],
             "base_currency": self.exchange.get_pair_base_currency(trade.pair),
@@ -2258,7 +2255,7 @@ class FreqtradeBot(LoggingMixin):
             "enter_tag": trade.enter_tag,
             "exit_reason": trade.exit_reason,
             "open_date": trade.open_date,
-            "close_date": trade.close_date or datetime.now(timezone.utc),
+            "close_date": trade.close_date or datetime.now(UTC),
             "stake_currency": self.config["stake_currency"],
             "base_currency": self.exchange.get_pair_base_currency(trade.pair),
             "quote_currency": self.exchange.get_pair_quote_currency(trade.pair),
@@ -2339,7 +2336,7 @@ class FreqtradeBot(LoggingMixin):
     def _update_trade_after_fill(self, trade: Trade, order: Order, send_msg: bool) -> Trade:
         if order.status in constants.NON_OPEN_EXCHANGE_STATES:
             strategy_safe_wrapper(self.strategy.order_filled, default_retval=None)(
-                pair=trade.pair, trade=trade, order=order, current_time=datetime.now(timezone.utc)
+                pair=trade.pair, trade=trade, order=order, current_time=datetime.now(UTC)
             )
             # If a entry order was closed, force update on stoploss on exchange
             if order.ft_order_side == trade.entry_side:
@@ -2372,7 +2369,7 @@ class FreqtradeBot(LoggingMixin):
                     )
                     profit = trade.calc_profit_ratio(current_rate)
                     self.strategy.ft_stoploss_adjust(
-                        current_rate, trade, datetime.now(timezone.utc), profit, 0, after_fill=True
+                        current_rate, trade, datetime.now(UTC), profit, 0, after_fill=True
                     )
             # Updating wallets when order is closed
             self.wallets.update()
@@ -2398,7 +2395,7 @@ class FreqtradeBot(LoggingMixin):
 
     def handle_protections(self, pair: str, side: LongShort) -> None:
         # Lock pair for one candle to prevent immediate re-entries
-        self.strategy.lock_pair(pair, datetime.now(timezone.utc), reason="Auto lock", side=side)
+        self.strategy.lock_pair(pair, datetime.now(UTC), reason="Auto lock", side=side)
         prot_trig = self.protections.stop_per_pair(pair, side=side)
         if prot_trig:
             msg: RPCProtectionMsg = {

freqtrade/ft_types/plot_annotation_type.py

@@ -1,8 +1,8 @@
 from datetime import datetime
-from typing import Literal
+from typing import Literal, Required
 
 from pydantic import TypeAdapter
-from typing_extensions import Required, TypedDict
+from typing_extensions import TypedDict
 
 
 class AnnotationType(TypedDict, total=False):

freqtrade/loggers/__init__.py

@@ -58,7 +58,7 @@ def setup_logging_pre() -> None:
 FT_LOGGING_CONFIG = {
     "version": 1,
     # "incremental": True,
-    # "disable_existing_loggers": False,
+    "disable_existing_loggers": False,
     "formatters": {
         "basic": {"format": "%(message)s"},
         "standard": {
@@ -223,7 +223,7 @@ def setup_logging(config: Config) -> None:
         logger.info("Enabling colorized output.")
         error_console._color_system = error_console._detect_color_system()
 
-    logging.info("Logfile configured")
+    logger.info("Logfile configured")
 
     # Set verbosity levels
     logging.root.setLevel(logging.INFO if verbosity < 1 else logging.DEBUG)

freqtrade/main.py

@@ -10,8 +10,8 @@ from typing import Any
 
 
 # check min. python version
-if sys.version_info < (3, 10):  # pragma: no cover  # noqa: UP036
+if sys.version_info < (3, 11):  # pragma: no cover  # noqa: UP036
-    sys.exit("Freqtrade requires Python version >= 3.10")
+    sys.exit("Freqtrade requires Python version >= 3.11")
 
 from freqtrade import __version__
 from freqtrade.commands import Arguments

freqtrade/optimize/base_analysis.py

@@ -1,6 +1,6 @@
 import logging
 from copy import deepcopy
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from typing import Any
 
 from pandas import DataFrame
@@ -38,7 +38,7 @@ class BaseAnalysis:
 
     @staticmethod
     def dt_to_timestamp(dt: datetime):
-        timestamp = int(dt.replace(tzinfo=timezone.utc).timestamp())
+        timestamp = int(dt.replace(tzinfo=UTC).timestamp())
         return timestamp
 
     def fill_full_varholder(self):
@@ -48,12 +48,12 @@ class BaseAnalysis:
         parsed_timerange = TimeRange.parse_timerange(self.local_config["timerange"])
 
         if parsed_timerange.startdt is None:
-            self.full_varHolder.from_dt = datetime.fromtimestamp(0, tz=timezone.utc)
+            self.full_varHolder.from_dt = datetime.fromtimestamp(0, tz=UTC)
         else:
             self.full_varHolder.from_dt = parsed_timerange.startdt
 
         if parsed_timerange.stopdt is None:
-            self.full_varHolder.to_dt = datetime.now(timezone.utc)
+            self.full_varHolder.to_dt = datetime.now(UTC)
         else:
             self.full_varHolder.to_dt = parsed_timerange.stopdt
 

freqtrade/optimize/hyperopt/hyperopt_optimizer.py

@@ -6,7 +6,7 @@ and will be sent to the hyperopt worker processes.
 import logging
 import sys
 import warnings
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any
 
@@ -273,7 +273,7 @@ class HyperOptimizer:
         Keep this function as optimized as possible!
         """
         HyperoptStateContainer.set_state(HyperoptState.OPTIMIZE)
-        backtest_start_time = datetime.now(timezone.utc)
+        backtest_start_time = datetime.now(UTC)
 
         # Apply parameters
         if HyperoptTools.has_space(self.config, "buy"):
@@ -330,7 +330,7 @@ class HyperOptimizer:
         bt_results = self.backtesting.backtest(
             processed=processed, start_date=self.min_date, end_date=self.max_date
         )
-        backtest_end_time = datetime.now(timezone.utc)
+        backtest_end_time = datetime.now(UTC)
         bt_results.update(
             {
                 "backtest_start_time": int(backtest_start_time.timestamp()),

freqtrade/optimize/hyperopt_tools.py

@@ -1,7 +1,7 @@
 import logging
 from collections.abc import Iterator
 from copy import deepcopy
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any
 
@@ -71,7 +71,7 @@ class HyperoptTools:
             "strategy_name": strategy_name,
             "params": final_params,
             "ft_stratparam_v": 1,
-            "export_time": datetime.now(timezone.utc),
+            "export_time": datetime.now(UTC),
         }
         logger.info(f"Dumping parameters to {filename}")
         with filename.open("w") as f:

freqtrade/optimize/optimize_reports/optimize_reports.py

@@ -1,6 +1,6 @@
 import logging
 from copy import deepcopy
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from typing import Any, Literal
 
 import numpy as np
@@ -652,9 +652,9 @@ def generate_strategy_stats(
                 "max_drawdown_abs": 0.0,
                 "max_drawdown_low": 0.0,
                 "max_drawdown_high": 0.0,
-                "drawdown_start": datetime(1970, 1, 1, tzinfo=timezone.utc),
+                "drawdown_start": datetime(1970, 1, 1, tzinfo=UTC),
                 "drawdown_start_ts": 0,
-                "drawdown_end": datetime(1970, 1, 1, tzinfo=timezone.utc),
+                "drawdown_end": datetime(1970, 1, 1, tzinfo=UTC),
                 "drawdown_end_ts": 0,
                 "csum_min": 0,
                 "csum_max": 0,

freqtrade/persistence/key_value_store.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from enum import Enum
 from typing import ClassVar, Literal
 
@@ -114,7 +114,7 @@ class KeyValueStore:
         if kv.value_type == ValueTypesEnum.STRING:
             return kv.string_value
         if kv.value_type == ValueTypesEnum.DATETIME and kv.datetime_value is not None:
-            return kv.datetime_value.replace(tzinfo=timezone.utc)
+            return kv.datetime_value.replace(tzinfo=UTC)
         if kv.value_type == ValueTypesEnum.FLOAT:
             return kv.float_value
         if kv.value_type == ValueTypesEnum.INT:
@@ -156,7 +156,7 @@ class KeyValueStore:
         )
         if kv is None or kv.datetime_value is None:
             return None
-        return kv.datetime_value.replace(tzinfo=timezone.utc)
+        return kv.datetime_value.replace(tzinfo=UTC)
 
     @staticmethod
     def get_float_value(key: KeyStoreKeys) -> float | None:
@@ -207,5 +207,5 @@ def set_startup_time() -> None:
         if t is not None:
             KeyValueStore.store_value("bot_start_time", t.open_date_utc)
         else:
-            KeyValueStore.store_value("bot_start_time", datetime.now(timezone.utc))
+            KeyValueStore.store_value("bot_start_time", datetime.now(UTC))
-    KeyValueStore.store_value("startup_time", datetime.now(timezone.utc))
+    KeyValueStore.store_value("startup_time", datetime.now(UTC))

freqtrade/persistence/pairlock.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from typing import Any, ClassVar
 
 from sqlalchemy import ScalarResult, String, or_, select
@@ -69,11 +69,9 @@ class PairLock(ModelBase):
             "id": self.id,
             "pair": self.pair,
             "lock_time": self.lock_time.strftime(DATETIME_PRINT_FORMAT),
-            "lock_timestamp": int(self.lock_time.replace(tzinfo=timezone.utc).timestamp() * 1000),
+            "lock_timestamp": int(self.lock_time.replace(tzinfo=UTC).timestamp() * 1000),
             "lock_end_time": self.lock_end_time.strftime(DATETIME_PRINT_FORMAT),
-            "lock_end_timestamp": int(
+            "lock_end_timestamp": int(self.lock_end_time.replace(tzinfo=UTC).timestamp() * 1000),
-                self.lock_end_time.replace(tzinfo=timezone.utc).timestamp() * 1000
-            ),
             "reason": self.reason,
             "side": self.side,
             "active": self.active,

freqtrade/persistence/pairlock_middleware.py

@@ -1,6 +1,6 @@
 import logging
 from collections.abc import Sequence
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 from sqlalchemy import select
 
@@ -52,7 +52,7 @@ class PairLocks:
         """
         lock = PairLock(
             pair=pair,
-            lock_time=now or datetime.now(timezone.utc),
+            lock_time=now or datetime.now(UTC),
             lock_end_time=timeframe_to_next_date(PairLocks.timeframe, until),
             reason=reason,
             side=side,
@@ -77,7 +77,7 @@ class PairLocks:
         :param side: Side get locks for, can be 'long', 'short', '*' or None
         """
         if not now:
-            now = datetime.now(timezone.utc)
+            now = datetime.now(UTC)
 
         if PairLocks.use_db:
             return PairLock.query_pair_locks(pair, now, side).all()
@@ -114,7 +114,7 @@ class PairLocks:
             defaults to datetime.now(timezone.utc)
         """
         if not now:
-            now = datetime.now(timezone.utc)
+            now = datetime.now(UTC)
 
         logger.info(f"Releasing all locks for {pair}.")
         locks = PairLocks.get_pair_locks(pair, now, side=side)
@@ -132,7 +132,7 @@ class PairLocks:
             defaults to datetime.now(timezone.utc)
         """
         if not now:
-            now = datetime.now(timezone.utc)
+            now = datetime.now(UTC)
 
         if PairLocks.use_db:
             # used in live modes
@@ -161,7 +161,7 @@ class PairLocks:
             defaults to datetime.now(timezone.utc)
         """
         if not now:
-            now = datetime.now(timezone.utc)
+            now = datetime.now(UTC)
 
         return len(PairLocks.get_pair_locks("*", now, side)) > 0
 
@@ -173,7 +173,7 @@ class PairLocks:
             defaults to datetime.now(timezone.utc)
         """
         if not now:
-            now = datetime.now(timezone.utc)
+            now = datetime.now(UTC)
 
         return len(PairLocks.get_pair_locks(pair, now, side)) > 0 or PairLocks.is_global_lock(
             now, side

freqtrade/persistence/trade_model.py

@@ -6,9 +6,9 @@ import logging
 from collections import defaultdict
 from collections.abc import Sequence
 from dataclasses import dataclass
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from math import isclose
-from typing import Any, ClassVar, Optional, cast
+from typing import Any, ClassVar, Optional, Self, cast
 
 from sqlalchemy import (
     Enum,
@@ -25,7 +25,6 @@ from sqlalchemy import (
     select,
 )
 from sqlalchemy.orm import Mapped, lazyload, mapped_column, relationship, validates
-from typing_extensions import Self
 
 from freqtrade.constants import (
     CANCELED_EXCHANGE_STATES,
@@ -121,14 +120,12 @@ class Order(ModelBase):
     @property
     def order_date_utc(self) -> datetime:
         """Order-date with UTC timezoneinfo"""
-        return self.order_date.replace(tzinfo=timezone.utc)
+        return self.order_date.replace(tzinfo=UTC)
 
     @property
     def order_filled_utc(self) -> datetime | None:
         """last order-date with UTC timezoneinfo"""
-        return (
+        return self.order_filled_date.replace(tzinfo=UTC) if self.order_filled_date else None
-            self.order_filled_date.replace(tzinfo=timezone.utc) if self.order_filled_date else None
-        )
 
     @property
     def safe_amount(self) -> float:
@@ -229,7 +226,7 @@ class Order(ModelBase):
                 self.order_filled_date = dt_from_ts(
                     safe_value_fallback(order, "lastTradeTimestamp", default_value=dt_ts())
                 )
-        self.order_update_date = datetime.now(timezone.utc)
+        self.order_update_date = datetime.now(UTC)
 
     def to_ccxt_object(self, stopPriceName: str = "stopPrice") -> dict[str, Any]:
         order: dict[str, Any] = {
@@ -286,7 +283,7 @@ class Order(ModelBase):
                         self.order_date.strftime(DATETIME_PRINT_FORMAT) if self.order_date else None
                     ),
                     "order_timestamp": (
-                        int(self.order_date.replace(tzinfo=timezone.utc).timestamp() * 1000)
+                        int(self.order_date.replace(tzinfo=UTC).timestamp() * 1000)
                         if self.order_date
                         else None
                     ),
@@ -533,7 +530,7 @@ class LocalTrade:
 
     @property
     def open_date_utc(self):
-        return self.open_date.replace(tzinfo=timezone.utc)
+        return self.open_date.replace(tzinfo=UTC)
 
     @property
     def stoploss_last_update_utc(self):
@@ -543,7 +540,7 @@ class LocalTrade:
 
     @property
     def close_date_utc(self):
-        return self.close_date.replace(tzinfo=timezone.utc) if self.close_date else None
+        return self.close_date.replace(tzinfo=UTC) if self.close_date else None
 
     @property
     def entry_side(self) -> str:
@@ -1056,7 +1053,7 @@ class LocalTrade:
             return zero
 
         open_date = self.open_date.replace(tzinfo=None)
-        now = (self.close_date or datetime.now(timezone.utc)).replace(tzinfo=None)
+        now = (self.close_date or datetime.now(UTC)).replace(tzinfo=None)
         sec_per_hour = FtPrecise(3600)
         total_seconds = FtPrecise((now - open_date).total_seconds())
         hours = total_seconds / sec_per_hour or zero
@@ -1572,12 +1569,12 @@ class LocalTrade:
             fee_close=data["fee_close"],
             fee_close_cost=data.get("fee_close_cost"),
             fee_close_currency=data.get("fee_close_currency"),
-            open_date=datetime.fromtimestamp(data["open_timestamp"] // 1000, tz=timezone.utc),
+            open_date=datetime.fromtimestamp(data["open_timestamp"] // 1000, tz=UTC),
             open_rate=data["open_rate"],
             open_rate_requested=data.get("open_rate_requested", data["open_rate"]),
             open_trade_value=data.get("open_trade_value"),
             close_date=(
-                datetime.fromtimestamp(data["close_timestamp"] // 1000, tz=timezone.utc)
+                datetime.fromtimestamp(data["close_timestamp"] // 1000, tz=UTC)
                 if data["close_timestamp"]
                 else None
             ),
@@ -1622,7 +1619,7 @@ class LocalTrade:
                 if order.get("order_date")
                 else None,
                 order_filled_date=(
-                    datetime.fromtimestamp(order["order_filled_timestamp"] // 1000, tz=timezone.utc)
+                    datetime.fromtimestamp(order["order_filled_timestamp"] // 1000, tz=UTC)
                     if order["order_filled_timestamp"]
                     else None
                 ),

freqtrade/plot/plotting.py

@@ -1,5 +1,5 @@
 import logging
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 
 import pandas as pd
@@ -638,7 +638,7 @@ def load_and_plot_trades(config: Config):
     exchange = ExchangeResolver.load_exchange(config)
     IStrategy.dp = DataProvider(config, exchange)
     strategy.ft_bot_start()
-    strategy_safe_wrapper(strategy.bot_loop_start)(current_time=datetime.now(timezone.utc))
+    strategy_safe_wrapper(strategy.bot_loop_start)(current_time=datetime.now(UTC))
     plot_elements = init_plotscript(config, list(exchange.markets), strategy.startup_candle_count)
     timerange = plot_elements["timerange"]
     trades = plot_elements["trades"]

freqtrade/plugins/protectionmanager.py

@@ -3,7 +3,7 @@ Protection manager class
 """
 
 import logging
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from typing import Any
 
 from freqtrade.constants import Config, LongShort
@@ -49,7 +49,7 @@ class ProtectionManager:
 
     def global_stop(self, now: datetime | None = None, side: LongShort = "long") -> PairLock | None:
         if not now:
-            now = datetime.now(timezone.utc)
+            now = datetime.now(UTC)
         result = None
         for protection_handler in self._protection_handlers:
             if protection_handler.has_global_stop:
@@ -65,7 +65,7 @@ class ProtectionManager:
         self, pair, now: datetime | None = None, side: LongShort = "long"
     ) -> PairLock | None:
         if not now:
-            now = datetime.now(timezone.utc)
+            now = datetime.now(UTC)
         result = None
         for protection_handler in self._protection_handlers:
             if protection_handler.has_local_stop:

freqtrade/plugins/protections/iprotection.py

@@ -1,7 +1,7 @@
 import logging
 from abc import ABC, abstractmethod
 from dataclasses import dataclass
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from typing import Any
 
 from freqtrade.constants import Config, LongShort
@@ -127,7 +127,7 @@ class IProtection(LoggingMixin, ABC):
         max_date: datetime = max([trade.close_date for trade in trades if trade.close_date])
         # coming from Database, tzinfo is not set.
         if max_date.tzinfo is None:
-            max_date = max_date.replace(tzinfo=timezone.utc)
+            max_date = max_date.replace(tzinfo=UTC)
 
         if self._unlock_at is not None:
             # unlock_at case with fixed hour of the day

freqtrade/rpc/api_server/api_auth.py

@@ -1,6 +1,6 @@
 import logging
 import secrets
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from typing import Any
 
 import jwt
@@ -89,15 +89,15 @@ async def validate_ws_token(
 def create_token(data: dict, secret_key: str, token_type: str = "access") -> str:  # noqa: S107
     to_encode = data.copy()
     if token_type == "access":  # noqa: S105
-        expire = datetime.now(timezone.utc) + timedelta(minutes=15)
+        expire = datetime.now(UTC) + timedelta(minutes=15)
     elif token_type == "refresh":  # noqa: S105
-        expire = datetime.now(timezone.utc) + timedelta(days=30)
+        expire = datetime.now(UTC) + timedelta(days=30)
     else:
         raise ValueError()
     to_encode.update(
         {
             "exp": expire,
-            "iat": datetime.now(timezone.utc),
+            "iat": datetime.now(UTC),
             "type": token_type,
         }
     )

freqtrade/rpc/api_server/api_backtest.py

@@ -8,6 +8,7 @@ from typing import Any
 from fastapi import APIRouter, BackgroundTasks, Depends
 from fastapi.exceptions import HTTPException
 
+from freqtrade.configuration import remove_exchange_credentials
 from freqtrade.configuration.config_validation import validate_config_consistency
 from freqtrade.constants import Config
 from freqtrade.data.btanalysis import (
@@ -20,7 +21,6 @@ from freqtrade.data.btanalysis import (
 )
 from freqtrade.enums import BacktestState
 from freqtrade.exceptions import ConfigurationError, DependencyException, OperationalException
-from freqtrade.exchange.common import remove_exchange_credentials
 from freqtrade.ft_types import get_BacktestResultType_default
 from freqtrade.misc import deep_merge_dicts, is_file_in_dir
 from freqtrade.rpc.api_server.api_schemas import (

freqtrade/rpc/api_server/webserver_bgwork.py

@@ -1,7 +1,7 @@
-from typing import Any, Literal
+from typing import Any, Literal, NotRequired
 from uuid import uuid4
 
-from typing_extensions import NotRequired, TypedDict
+from typing_extensions import TypedDict
 
 from freqtrade.exchange.exchange import Exchange
 

freqtrade/rpc/api_server/ws/channel.py

@@ -102,7 +102,7 @@ class WebSocketChannel:
             self._send_times.append(total_time)
 
             self._calc_send_limit()
-        except asyncio.TimeoutError:
+        except TimeoutError:
             logger.info(f"Connection for {self} timed out, disconnecting")
             raise
 
@@ -201,8 +201,8 @@ class WebSocketChannel:
             try:
                 await task
             except (
+                TimeoutError,
                 asyncio.CancelledError,
-                asyncio.TimeoutError,
                 WebSocketDisconnect,
                 ConnectionClosed,
                 RuntimeError,

freqtrade/rpc/external_message_consumer.py

@@ -266,7 +266,7 @@ class ExternalMessageConsumer:
                 except Exception as e:
                     logger.exception(f"Error handling producer message: {e}")
 
-            except (asyncio.TimeoutError, websockets.exceptions.ConnectionClosed):
+            except (TimeoutError, websockets.exceptions.ConnectionClosed):
                 # We haven't received data yet. Check the connection and continue.
                 try:
                     # ping

freqtrade/rpc/rpc.py

@@ -5,7 +5,7 @@ This module contains class to define a RPC communications
 import logging
 from abc import abstractmethod
 from collections.abc import Generator, Sequence
-from datetime import date, datetime, timedelta, timezone
+from datetime import UTC, date, datetime, timedelta
 from typing import TYPE_CHECKING, Any
 
 import psutil
@@ -375,7 +375,7 @@ class RPC:
         """
         :param timeunit: Valid entries are 'days', 'weeks', 'months'
         """
-        start_date = datetime.now(timezone.utc).date()
+        start_date = datetime.now(UTC).date()
         if timeunit == "weeks":
             # weekly
             start_date = start_date - timedelta(days=start_date.weekday())  # Monday
@@ -1099,7 +1099,7 @@ class RPC:
             trade = Trade.get_trades(trade_filter=[Trade.id == trade_id]).first()
             if not trade:
                 logger.warning("delete trade: Invalid argument received")
-                raise RPCException("invalid argument")
+                raise RPCException(f"Trade with id '{trade_id}' not found.")
 
             # Try cancelling regular order if that exists
             for open_order in trade.open_orders:
@@ -1120,13 +1120,16 @@ class RPC:
                         c_count += 1
                     except ExchangeError:
                         pass
-
+            trade_pair = trade.pair
             trade.delete()
             self._freqtrade.wallets.update()
             return {
                 "result": "success",
                 "trade_id": trade_id,
-                "result_msg": f"Deleted trade {trade_id}. Closed {c_count} open orders.",
+                "result_msg": (
+                    f"Deleted trade #{trade_id} for pair {trade_pair}. "
+                    f"Closed {c_count} open orders."
+                ),
                 "cancel_order_count": c_count,
             }
 
@@ -1264,7 +1267,7 @@ class RPC:
 
         for lock in locks:
             lock.active = False
-            lock.lock_end_time = datetime.now(timezone.utc)
+            lock.lock_end_time = datetime.now(UTC)
 
         Trade.commit()
 

freqtrade/rpc/telegram.py

@@ -1488,7 +1488,7 @@ class Telegram(RPCHandler):
         trade_id = int(context.args[0])
         msg = self._rpc._rpc_delete(trade_id)
         await self._send_msg(
-            f"`{msg['result_msg']}`\n"
+            f"{msg['result_msg']}\n"
             "Please make sure to take care of this asset on the exchange manually."
         )
 

freqtrade/strategy/interface.py

@@ -5,7 +5,7 @@ This module defines the interface to apply for strategies
 
 import logging
 from abc import ABC, abstractmethod
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from math import isinf, isnan
 
 from pandas import DataFrame
@@ -1149,7 +1149,7 @@ class IStrategy(ABC, HyperStrategyMixin):
         manually from within the strategy, to allow an easy way to unlock pairs.
         :param pair: Unlock pair to allow trading again
         """
-        PairLocks.unlock_pair(pair, datetime.now(timezone.utc))
+        PairLocks.unlock_pair(pair, datetime.now(UTC))
 
     def unlock_reason(self, reason: str) -> None:
         """
@@ -1158,7 +1158,7 @@ class IStrategy(ABC, HyperStrategyMixin):
         manually from within the strategy, to allow an easy way to unlock pairs.
         :param reason: Unlock pairs to allow trading again
         """
-        PairLocks.unlock_reason(reason, datetime.now(timezone.utc))
+        PairLocks.unlock_reason(reason, datetime.now(UTC))
 
     def is_pair_locked(
         self, pair: str, *, candle_date: datetime | None = None, side: str = "*"

freqtrade/util/datetime_helpers.py

@@ -1,5 +1,5 @@
 import re
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from time import time
 
 import humanize
@@ -9,7 +9,7 @@ from freqtrade.constants import DATETIME_PRINT_FORMAT
 
 def dt_now() -> datetime:
     """Return the current datetime in UTC."""
-    return datetime.now(timezone.utc)
+    return datetime.now(UTC)
 
 
 def dt_utc(
@@ -22,7 +22,7 @@ def dt_utc(
     microsecond: int = 0,
 ) -> datetime:
     """Return a datetime in UTC."""
-    return datetime(year, month, day, hour, minute, second, microsecond, tzinfo=timezone.utc)
+    return datetime(year, month, day, hour, minute, second, microsecond, tzinfo=UTC)
 
 
 def dt_ts(dt: datetime | None = None) -> int:
@@ -68,7 +68,7 @@ def dt_from_ts(timestamp: float) -> datetime:
     if timestamp > 1e10:
         # Timezone in ms - convert to seconds
         timestamp /= 1000
-    return datetime.fromtimestamp(timestamp, tz=timezone.utc)
+    return datetime.fromtimestamp(timestamp, tz=UTC)
 
 
 def shorten_date(_date: str) -> str:

freqtrade/util/periodic_cache.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 from cachetools import TTLCache
 
@@ -11,7 +11,7 @@ class PeriodicCache(TTLCache):
 
     def __init__(self, maxsize, ttl, getsizeof=None):
         def local_timer():
-            ts = datetime.now(timezone.utc).timestamp()
+            ts = datetime.now(UTC).timestamp()
             offset = ts % ttl
             return ts - offset
 

ft_client/freqtrade_client/__init__.py

@@ -1,7 +1,7 @@
 from freqtrade_client.ft_rest_client import FtRestClient
 
 
-__version__ = "2025.6-dev"
+__version__ = "2025.7-dev"
 
 if "dev" in __version__:
     from pathlib import Path

ft_client/pyproject.toml

@@ -13,14 +13,13 @@ authors = [
 
 description = "Freqtrade - Client scripts"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.11"
 license = {text = "GPLv3"}
 # license = "GPLv3"
 classifiers = [
     "Environment :: Console",
     "Intended Audience :: Science/Research",
     "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
-    "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",

mkdocs.yml

@@ -61,11 +61,14 @@ theme:
   name: material
   logo: "images/logo.png"
   favicon: "images/logo.png"
+  icon:
+    repo: fontawesome/brands/github
   custom_dir: "docs/overrides"
   features:
     - content.code.annotate
     - search.share
     - content.code.copy
+    - content.action.edit
     - navigation.top
     - navigation.footer
   palette:
@@ -114,6 +117,9 @@ markdown_extensions:
       custom_checkbox: true
   - pymdownx.tilde
   - mdx_truly_sane_lists
+  - pymdownx.emoji:
+      emoji_index: !!python/name:material.extensions.emoji.twemoji
+      emoji_generator: !!python/name:material.extensions.emoji.to_svg
 extra:
   version:
     provider: mike

pyproject.toml

@@ -13,13 +13,12 @@ authors = [
 
 description = "Freqtrade - Crypto Trading Bot"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.11"
 license = {text = "GPLv3"}
 classifiers = [
     "Environment :: Console",
     "Intended Audience :: Science/Research",
     "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
-    "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
@@ -111,6 +110,7 @@ develop = [
   "pytest-xdist",
   "pytest",
   "ruff",
+  "scipy-stubs",
   "time-machine",
   "types-cachetools",
   "types-filelock",
@@ -290,6 +290,7 @@ extend-ignore = [
   "RUF010",  # Use explicit conversion flag
   "RUF012",  # mutable-class-default
   "RUF022",  # unsorted-dunder-all
+  "RUF005",  # list concatenation
 ]
 
 [tool.ruff.lint.mccabe]

requirements-dev.txt

@@ -6,16 +6,16 @@
 -r requirements-freqai-rl.txt
 -r docs/requirements-docs.txt
 
-ruff==0.11.13
+ruff==0.12.2
-mypy==1.16.0
+mypy==1.16.1
 pre-commit==4.2.0
-pytest==8.4.0
+pytest==8.4.1
 pytest-asyncio==1.0.0
 pytest-cov==6.2.1
 pytest-mock==3.14.1
-pytest-random-order==1.1.1
+pytest-random-order==1.2.0
 pytest-timeout==2.4.0
-pytest-xdist==3.7.0
+pytest-xdist==3.8.0
 isort==6.0.1
 # For datetime mocking
 time-machine==2.16.0
@@ -24,6 +24,7 @@ time-machine==2.16.0
 nbconvert==7.16.6
 
 # mypy types
+scipy-stubs==1.16.0.2  # keep in sync with `scipy` in `requirements-hyperopt.txt`
 types-cachetools==6.0.0.20250525
 types-filelock==3.2.7
 types-requests==2.32.4.20250611

requirements-hyperopt.txt

@@ -2,8 +2,8 @@
 -r requirements.txt
 
 # Required for hyperopt
-scipy==1.15.3
+scipy==1.16.0
 scikit-learn==1.7.0
 filelock==3.18.0
-optuna==4.3.0
+optuna==4.4.0
 cmaes==0.11.1

requirements-plot.txt

@@ -1,4 +1,4 @@
 # Include all requirements to run the bot.
 -r requirements.txt
 
-plotly==6.1.2
+plotly==6.2.0

requirements.txt

@@ -1,4 +1,4 @@
-numpy==2.2.6
+numpy==2.3.1
 pandas==2.3.0
 bottleneck==1.5.0
 numexpr==2.11.0
@@ -7,15 +7,15 @@ ft-pandas-ta==0.3.15
 ta-lib==0.5.5
 technical==1.5.1
 
-ccxt==4.4.89
+ccxt==4.4.92
-cryptography==45.0.4
+cryptography==45.0.5
 aiohttp==3.12.13
 SQLAlchemy==2.0.41
-python-telegram-bot==22.1
+python-telegram-bot==22.2
 # can't be hard-pinned due to telegram-bot pinning httpx with ~
 httpx>=0.24.1
 humanize==4.12.3
-cachetools==6.0.0
+cachetools==6.1.0
 requests==2.32.4
 urllib3==2.5.0
 certifi==2025.6.15
@@ -36,9 +36,9 @@ orjson==3.10.18
 sdnotify==0.3.2
 
 # API Server
-fastapi==0.115.12
+fastapi==0.115.14
 pydantic==2.11.7
-uvicorn==0.34.3
+uvicorn==0.35.0
 pyjwt==2.10.1
 aiofiles==24.1.0
 psutil==7.0.0
@@ -57,5 +57,5 @@ schedule==1.2.2
 websockets==15.0.1
 janus==2.0.0
 
-ast-comments==1.2.2
+ast-comments==1.2.3
 packaging==25.0

scripts/ws_client.py

@@ -234,7 +234,7 @@ async def create_client(
 
                         await protocol.on_message(ws, name, message)
 
-                    except (asyncio.TimeoutError, websockets.exceptions.WebSocketException):
+                    except (TimeoutError, websockets.exceptions.WebSocketException):
                         # Try pinging
                         try:
                             pong = await ws.ping()
@@ -244,7 +244,7 @@ async def create_client(
 
                             continue
 
-                        except asyncio.TimeoutError:
+                        except TimeoutError:
                             logger.error(f"Ping timed out, retrying in {sleep_time}s")
                             await asyncio.sleep(sleep_time)
 

setup.ps1

@@ -153,16 +153,13 @@ function Find-PythonExecutable {
     "python3.13",
     "python3.12",
     "python3.11",
-    "python3.10",
     "python3",
     "C:\Users\$env:USERNAME\AppData\Local\Programs\Python\Python313\python.exe",
     "C:\Users\$env:USERNAME\AppData\Local\Programs\Python\Python312\python.exe",
     "C:\Users\$env:USERNAME\AppData\Local\Programs\Python\Python311\python.exe",
-    "C:\Users\$env:USERNAME\AppData\Local\Programs\Python\Python310\python.exe",
     "C:\Python313\python.exe",
     "C:\Python312\python.exe",
-    "C:\Python311\python.exe",
+    "C:\Python311\python.exe"
-    "C:\Python310\python.exe"
   )
 
 
@@ -178,10 +175,10 @@ function Main {
   "Starting the operations..." | Out-File $LogFilePath -Append
   "Current directory: $(Get-Location)" | Out-File $LogFilePath -Append
 
-  # Exit on lower versions than Python 3.10 or when Python executable not found
+  # Exit on lower versions than Python 3.11 or when Python executable not found
   $PythonExecutable = Find-PythonExecutable
   if ($null -eq $PythonExecutable) {
-    Write-Log "No suitable Python executable found. Please ensure that Python 3.10 or higher is installed and available in the system PATH." -Level 'ERROR'
+    Write-Log "No suitable Python executable found. Please ensure that Python 3.11 or higher is installed and available in the system PATH." -Level 'ERROR'
     Exit 1
   }
 

setup.sh

@@ -25,7 +25,7 @@ function check_installed_python() {
         exit 2
     fi
 
-    for v in 13 12 11 10
+    for v in 13 12 11
     do
         PYTHON="python3.${v}"
         which $PYTHON
@@ -36,7 +36,7 @@ function check_installed_python() {
         fi
     done
 
-    echo "No usable python found. Please make sure to have python3.10 or newer installed."
+    echo "No usable python found. Please make sure to have python3.11 or newer installed."
     exit 1
 }
 
@@ -257,7 +257,7 @@ function install() {
         install_redhat
     else
         echo "This script does not support your OS."
-        echo "If you have Python version 3.10 - 3.13, pip, virtualenv, ta-lib you can continue."
+        echo "If you have Python version 3.11 - 3.13, pip, virtualenv, ta-lib you can continue."
         echo "Wait 10 seconds to continue the next install steps or use ctrl+c to interrupt this shell."
         sleep 10
     fi
@@ -284,7 +284,7 @@ function help() {
     echo "	-p,--plot       Install dependencies for Plotting scripts."
 }
 
-# Verify if 3.10+ is installed
+# Verify if 3.11+ is installed
 check_installed_python
 
 case $* in

tests/conftest.py

@@ -4,7 +4,7 @@ import logging
 import platform
 import re
 from copy import deepcopy
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from pathlib import Path
 from unittest.mock import MagicMock, Mock, PropertyMock
 
@@ -126,7 +126,7 @@ def get_args(args):
 def generate_trades_history(n_rows, start_date: datetime | None = None, days=5):
     np.random.seed(42)
     if not start_date:
-        start_date = datetime(2020, 1, 1, tzinfo=timezone.utc)
+        start_date = datetime(2020, 1, 1, tzinfo=UTC)
 
         # Generate random data
     end_date = start_date + timedelta(days=days)
@@ -3405,4 +3405,35 @@ def leverage_tiers():
                 "maintAmt": 654500.0,
             },
         ],
+        "TIA/USDT:USDT": [
+            # Okx tier - these have a gap between maxNotional and the next minNotional
+            {
+                "minNotional": 0.0,
+                "maxNotional": 6500.0,
+                "maintenanceMarginRate": 0.0065,
+                "maxLeverage": 50.0,
+                "maintAmt": None,
+            },
+            {
+                "minNotional": 6501.0,
+                "maxNotional": 12000.0,
+                "maintenanceMarginRate": 0.01,
+                "maxLeverage": 40.0,
+                "maintAmt": None,
+            },
+            {
+                "minNotional": 12001.0,
+                "maxNotional": 25000.0,
+                "maintenanceMarginRate": 0.015,
+                "maxLeverage": 20.0,
+                "maintAmt": None,
+            },
+            {
+                "minNotional": 25001.0,
+                "maxNotional": 50000.0,
+                "maintenanceMarginRate": 0.02,
+                "maxLeverage": 18.18,
+                "maintAmt": None,
+            },
+        ],
     }

tests/conftest_trades.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 
 from freqtrade.persistence.models import Order, Trade
 
@@ -43,7 +43,7 @@ def mock_trade_1(fee, is_short: bool):
         fee_open=fee.return_value,
         fee_close=fee.return_value,
         is_open=True,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=17),
         open_rate=0.123,
         exchange="binance",
         strategy="StrategyTestV3",
@@ -106,8 +106,8 @@ def mock_trade_2(fee, is_short: bool):
         timeframe=5,
         enter_tag="TEST1",
         exit_reason="sell_signal",
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=20),
-        close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=2),
+        close_date=datetime.now(tz=UTC) - timedelta(minutes=2),
         is_short=is_short,
     )
     o = Order.parse_from_ccxt_object(mock_order_2(is_short), "ETC/BTC", entry_side(is_short))
@@ -168,8 +168,8 @@ def mock_trade_3(fee, is_short: bool):
         strategy="StrategyTestV3",
         timeframe=5,
         exit_reason="roi",
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=20),
-        close_date=datetime.now(tz=timezone.utc),
+        close_date=datetime.now(tz=UTC),
         is_short=is_short,
     )
     o = Order.parse_from_ccxt_object(mock_order_3(is_short), "XRP/BTC", entry_side(is_short))
@@ -205,7 +205,7 @@ def mock_trade_4(fee, is_short: bool):
         amount_requested=124.0,
         fee_open=fee.return_value,
         fee_close=fee.return_value,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=14),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=14),
         is_open=True,
         open_rate=0.123,
         exchange="binance",
@@ -260,7 +260,7 @@ def mock_trade_5(fee, is_short: bool):
         amount_requested=124.0,
         fee_open=fee.return_value,
         fee_close=fee.return_value,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=12),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=12),
         is_open=True,
         open_rate=0.123,
         exchange="binance",
@@ -316,7 +316,7 @@ def mock_trade_6(fee, is_short: bool):
         stake_amount=0.001,
         amount=2.0,
         amount_requested=2.0,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=5),
         fee_open=fee.return_value,
         fee_close=fee.return_value,
         is_open=True,
@@ -410,7 +410,7 @@ def short_trade(fee):
         strategy="DefaultStrategy",
         timeframe=5,
         exit_reason="sell_signal",
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=20),
         # close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=2),
         is_short=True,
     )
@@ -500,8 +500,8 @@ def leverage_trade(fee):
         strategy="DefaultStrategy",
         timeframe=5,
         exit_reason="sell_signal",
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=300),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=300),
-        close_date=datetime.now(tz=timezone.utc),
+        close_date=datetime.now(tz=UTC),
         interest_rate=0.0005,
     )
     o = Order.parse_from_ccxt_object(leverage_order(), "DOGE/BTC", "sell")

tests/conftest_trades_usdt.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 
 from freqtrade.persistence.models import Order, Trade
 
@@ -55,8 +55,8 @@ def mock_trade_usdt_1(fee, is_short: bool):
         stake_amount=20.0,
         amount=2.0,
         amount_requested=2.0,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(days=2, minutes=20),
+        open_date=datetime.now(tz=UTC) - timedelta(days=2, minutes=20),
-        close_date=datetime.now(tz=timezone.utc) - timedelta(days=2, minutes=5),
+        close_date=datetime.now(tz=UTC) - timedelta(days=2, minutes=5),
         fee_open=fee.return_value,
         fee_close=fee.return_value,
         is_open=False,
@@ -127,8 +127,8 @@ def mock_trade_usdt_2(fee, is_short: bool):
         timeframe=5,
         enter_tag="TEST1",
         exit_reason="exit_signal",
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=20),
-        close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=2),
+        close_date=datetime.now(tz=UTC) - timedelta(minutes=2),
         is_short=is_short,
     )
     o = Order.parse_from_ccxt_object(mock_order_usdt_2(is_short), "NEO/USDT", entry_side(is_short))
@@ -190,8 +190,8 @@ def mock_trade_usdt_3(fee, is_short: bool):
         timeframe=5,
         enter_tag="TEST3",
         exit_reason="roi",
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=20),
-        close_date=datetime.now(tz=timezone.utc),
+        close_date=datetime.now(tz=UTC),
         is_short=is_short,
     )
     o = Order.parse_from_ccxt_object(mock_order_usdt_3(is_short), "XRP/USDT", entry_side(is_short))
@@ -228,7 +228,7 @@ def mock_trade_usdt_4(fee, is_short: bool):
         amount_requested=10.01,
         fee_open=fee.return_value,
         fee_close=fee.return_value,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=14),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=14),
         is_open=True,
         open_rate=2.0,
         exchange="binance",
@@ -280,7 +280,7 @@ def mock_trade_usdt_5(fee, is_short: bool):
         amount_requested=10.01,
         fee_open=fee.return_value,
         fee_close=fee.return_value,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=12),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=12),
         is_open=True,
         open_rate=2.0,
         exchange="binance",
@@ -332,7 +332,7 @@ def mock_trade_usdt_6(fee, is_short: bool):
         stake_amount=20.0,
         amount=2.0,
         amount_requested=2.0,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=5),
         fee_open=fee.return_value,
         fee_close=fee.return_value,
         is_open=True,
@@ -374,7 +374,7 @@ def mock_trade_usdt_7(fee, is_short: bool):
         fee_open=fee.return_value,
         fee_close=fee.return_value,
         is_open=True,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=17),
         open_rate=2.0,
         exchange="binance",
         strategy="StrategyTestV2",

tests/data/test_btanalysis.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from pathlib import Path
 from unittest.mock import MagicMock
 from zipfile import ZipFile
@@ -182,19 +182,19 @@ def test_extract_trades_of_period(testdatadir):
             "profit_abs": [0.0, 1, -2, -5],
             "open_date": to_datetime(
                 [
-                    datetime(2017, 11, 13, 15, 40, 0, tzinfo=timezone.utc),
+                    datetime(2017, 11, 13, 15, 40, 0, tzinfo=UTC),
-                    datetime(2017, 11, 14, 9, 41, 0, tzinfo=timezone.utc),
+                    datetime(2017, 11, 14, 9, 41, 0, tzinfo=UTC),
-                    datetime(2017, 11, 14, 14, 20, 0, tzinfo=timezone.utc),
+                    datetime(2017, 11, 14, 14, 20, 0, tzinfo=UTC),
-                    datetime(2017, 11, 15, 3, 40, 0, tzinfo=timezone.utc),
+                    datetime(2017, 11, 15, 3, 40, 0, tzinfo=UTC),
                 ],
                 utc=True,
             ),
             "close_date": to_datetime(
                 [
-                    datetime(2017, 11, 13, 16, 40, 0, tzinfo=timezone.utc),
+                    datetime(2017, 11, 13, 16, 40, 0, tzinfo=UTC),
-                    datetime(2017, 11, 14, 10, 41, 0, tzinfo=timezone.utc),
+                    datetime(2017, 11, 14, 10, 41, 0, tzinfo=UTC),
-                    datetime(2017, 11, 14, 15, 25, 0, tzinfo=timezone.utc),
+                    datetime(2017, 11, 14, 15, 25, 0, tzinfo=UTC),
-                    datetime(2017, 11, 15, 3, 55, 0, tzinfo=timezone.utc),
+                    datetime(2017, 11, 15, 3, 55, 0, tzinfo=UTC),
                 ],
                 utc=True,
             ),
@@ -203,10 +203,10 @@ def test_extract_trades_of_period(testdatadir):
     trades1 = extract_trades_of_period(data, trades)
     # First and last trade are dropped as they are out of range
     assert len(trades1) == 2
-    assert trades1.iloc[0].open_date == datetime(2017, 11, 14, 9, 41, 0, tzinfo=timezone.utc)
+    assert trades1.iloc[0].open_date == datetime(2017, 11, 14, 9, 41, 0, tzinfo=UTC)
-    assert trades1.iloc[0].close_date == datetime(2017, 11, 14, 10, 41, 0, tzinfo=timezone.utc)
+    assert trades1.iloc[0].close_date == datetime(2017, 11, 14, 10, 41, 0, tzinfo=UTC)
-    assert trades1.iloc[-1].open_date == datetime(2017, 11, 14, 14, 20, 0, tzinfo=timezone.utc)
+    assert trades1.iloc[-1].open_date == datetime(2017, 11, 14, 14, 20, 0, tzinfo=UTC)
-    assert trades1.iloc[-1].close_date == datetime(2017, 11, 14, 15, 25, 0, tzinfo=timezone.utc)
+    assert trades1.iloc[-1].close_date == datetime(2017, 11, 14, 15, 25, 0, tzinfo=UTC)
 
 
 def test_analyze_trade_parallelism(testdatadir):
@@ -293,7 +293,7 @@ def test_combined_dataframes_with_rel_mean(testdatadir):
     pairs = ["ETH/BTC", "ADA/BTC"]
     data = load_data(datadir=testdatadir, pairs=pairs, timeframe="5m")
     df = combined_dataframes_with_rel_mean(
-        data, datetime(2018, 1, 12, tzinfo=timezone.utc), datetime(2018, 1, 28, tzinfo=timezone.utc)
+        data, datetime(2018, 1, 12, tzinfo=UTC), datetime(2018, 1, 28, tzinfo=UTC)
     )
     assert isinstance(df, DataFrame)
     assert "ETH/BTC" not in df.columns
@@ -596,7 +596,7 @@ def test_calculate_max_drawdown_abs(profits, relative, highd, lowdays, result, r
     [1000, 500,  1000, 11000, 10000] # absolute results
     [1000, 50%,  0%,   0%,       ~9%]   # Relative drawdowns
     """
-    init_date = datetime(2020, 1, 1, tzinfo=timezone.utc)
+    init_date = datetime(2020, 1, 1, tzinfo=UTC)
     dates = [init_date + timedelta(days=i) for i in range(len(profits))]
     df = DataFrame(zip(profits, dates, strict=False), columns=["profit_abs", "open_date"])
     # sort by profit and reset index

tests/data/test_datahandler.py

@@ -1,7 +1,7 @@
 # pragma pylint: disable=missing-docstring, protected-access, C0103
 
 import re
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from unittest.mock import MagicMock
 
@@ -165,19 +165,19 @@ def test_datahandler_ohlcv_data_min_max(testdatadir):
     # Empty pair
     min_max = dh.ohlcv_data_min_max("UNITTEST/BTC", "8m", "spot")
     assert len(min_max) == 3
-    assert min_max[0] == datetime.fromtimestamp(0, tz=timezone.utc)
+    assert min_max[0] == datetime.fromtimestamp(0, tz=UTC)
     assert min_max[0] == min_max[1]
     # Empty pair2
     min_max = dh.ohlcv_data_min_max("NOPAIR/XXX", "41m", "spot")
     assert len(min_max) == 3
-    assert min_max[0] == datetime.fromtimestamp(0, tz=timezone.utc)
+    assert min_max[0] == datetime.fromtimestamp(0, tz=UTC)
     assert min_max[0] == min_max[1]
 
     # Existing pair ...
     min_max = dh.ohlcv_data_min_max("UNITTEST/BTC", "1m", "spot")
     assert len(min_max) == 3
-    assert min_max[0] == datetime(2017, 11, 4, 23, 2, tzinfo=timezone.utc)
+    assert min_max[0] == datetime(2017, 11, 4, 23, 2, tzinfo=UTC)
-    assert min_max[1] == datetime(2017, 11, 14, 22, 59, tzinfo=timezone.utc)
+    assert min_max[1] == datetime(2017, 11, 14, 22, 59, tzinfo=UTC)
 
 
 def test_datahandler__check_empty_df(testdatadir, caplog):
@@ -467,14 +467,14 @@ def test_datahandler_trades_data_min_max(testdatadir):
     # Empty pair
     min_max = dh.trades_data_min_max("NADA/ETH", TradingMode.SPOT)
     assert len(min_max) == 3
-    assert min_max[0] == datetime.fromtimestamp(0, tz=timezone.utc)
+    assert min_max[0] == datetime.fromtimestamp(0, tz=UTC)
     assert min_max[0] == min_max[1]
 
     # Existing pair ...
     min_max = dh.trades_data_min_max("XRP/ETH", TradingMode.SPOT)
     assert len(min_max) == 3
-    assert min_max[0] == datetime(2019, 10, 11, 0, 0, 11, 620000, tzinfo=timezone.utc)
+    assert min_max[0] == datetime(2019, 10, 11, 0, 0, 11, 620000, tzinfo=UTC)
-    assert min_max[1] == datetime(2019, 10, 13, 11, 19, 28, 844000, tzinfo=timezone.utc)
+    assert min_max[1] == datetime(2019, 10, 13, 11, 19, 28, 844000, tzinfo=UTC)
 
 
 def test_gethandlerclass():

tests/data/test_dataprovider.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from unittest.mock import MagicMock
 
 import pytest
@@ -222,8 +222,8 @@ def test_get_producer_df(default_conf):
     timeframe = default_conf["timeframe"]
     candle_type = CandleType.SPOT
 
-    empty_la = datetime.fromtimestamp(0, tz=timezone.utc)
+    empty_la = datetime.fromtimestamp(0, tz=UTC)
-    now = datetime.now(timezone.utc)
+    now = datetime.now(UTC)
 
     # no data has been added, any request should return an empty dataframe
     dataframe, la = dataprovider.get_producer_df(pair, timeframe, candle_type)
@@ -404,7 +404,7 @@ def test_get_analyzed_dataframe(mocker, default_conf, ohlcv_history):
     dataframe, time = dp.get_analyzed_dataframe("NOTHING/BTC", timeframe)
     assert dataframe.empty
     assert isinstance(time, datetime)
-    assert time == datetime(1970, 1, 1, tzinfo=timezone.utc)
+    assert time == datetime(1970, 1, 1, tzinfo=UTC)
 
     # Test backtest mode
     default_conf["runmode"] = RunMode.BACKTEST
@@ -478,7 +478,7 @@ def test_dp__add_external_df(default_conf_usdt):
     default_conf_usdt["timeframe"] = timeframe
     dp = DataProvider(default_conf_usdt, None)
     df = generate_test_data(timeframe, 24, "2022-01-01 00:00:00+00:00")
-    last_analyzed = datetime.now(timezone.utc)
+    last_analyzed = datetime.now(UTC)
 
     res = dp._add_external_df("ETH/USDT", df, last_analyzed, timeframe, CandleType.SPOT)
     assert res[0] is False

tests/data/test_historic_precision.py

@@ -1,6 +1,6 @@
 # pragma pylint: disable=missing-docstring, C0103
 
-from datetime import timezone
+from datetime import UTC
 
 import pandas as pd
 from numpy import nan
@@ -16,15 +16,15 @@ def test_get_tick_size_over_time():
     # Create test dataframe with different levels of precision
     data = {
         "date": [
-            Timestamp("2020-01-01 00:00:00", tz=timezone.utc),
+            Timestamp("2020-01-01 00:00:00", tz=UTC),
-            Timestamp("2020-01-02 00:00:00", tz=timezone.utc),
+            Timestamp("2020-01-02 00:00:00", tz=UTC),
-            Timestamp("2020-01-03 00:00:00", tz=timezone.utc),
+            Timestamp("2020-01-03 00:00:00", tz=UTC),
-            Timestamp("2020-01-15 00:00:00", tz=timezone.utc),
+            Timestamp("2020-01-15 00:00:00", tz=UTC),
-            Timestamp("2020-01-16 00:00:00", tz=timezone.utc),
+            Timestamp("2020-01-16 00:00:00", tz=UTC),
-            Timestamp("2020-01-31 00:00:00", tz=timezone.utc),
+            Timestamp("2020-01-31 00:00:00", tz=UTC),
-            Timestamp("2020-02-01 00:00:00", tz=timezone.utc),
+            Timestamp("2020-02-01 00:00:00", tz=UTC),
-            Timestamp("2020-02-15 00:00:00", tz=timezone.utc),
+            Timestamp("2020-02-15 00:00:00", tz=UTC),
-            Timestamp("2020-03-15 00:00:00", tz=timezone.utc),
+            Timestamp("2020-03-15 00:00:00", tz=UTC),
         ],
         "open": [1.23456, 1.234, 1.23, 1.2, 1.23456, 1.234, 2.3456, 2.34, 2.34],
         "high": [1.23457, 1.235, 1.24, 1.3, 1.23456, 1.235, 2.3457, 2.34, 2.34],

tests/data/test_trade_converter_kraken.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from shutil import copytree
 from unittest.mock import PropertyMock
 
@@ -49,12 +49,8 @@ def test_import_kraken_trades_from_csv(testdatadir, tmp_path, caplog, default_co
     trades = dh.trades_load("BCH_EUR", TradingMode.SPOT)
     assert len(trades) == 340
 
-    assert trades["date"].min().to_pydatetime() == datetime(
+    assert trades["date"].min().to_pydatetime() == datetime(2023, 1, 1, 0, 3, 56, tzinfo=UTC)
-        2023, 1, 1, 0, 3, 56, tzinfo=timezone.utc
+    assert trades["date"].max().to_pydatetime() == datetime(2023, 1, 2, 23, 17, 3, tzinfo=UTC)
-    )
-    assert trades["date"].max().to_pydatetime() == datetime(
-        2023, 1, 2, 23, 17, 3, tzinfo=timezone.utc
-    )
     # ID is not filled
     assert len(trades.loc[trades["id"] != ""]) == 0
 

tests/exchange/test_binance.py

@@ -1015,10 +1015,10 @@ async def test__async_get_trade_history_id_binance(default_conf_usdt, mocker, fe
                 # Don't expect to get here
                 raise ValueError("Unexpected call")
                 # return fetch_trades_result[:-2]
-        elif kwargs.get("params", {}).get(exchange._trades_pagination_arg) == "0":
+        elif kwargs.get("params", {}).get(exchange._ft_has["trades_pagination_arg"]) == "0":
             # Return first 3
             return fetch_trades_result[:-2]
-        elif kwargs.get("params", {}).get(exchange._trades_pagination_arg) in (
+        elif kwargs.get("params", {}).get(exchange._ft_has["trades_pagination_arg"]) in (
             fetch_trades_result[-3]["id"],
             1565798399752,
         ):
@@ -1076,10 +1076,10 @@ async def test__async_get_trade_history_id_binance_fast(
             #     # Don't expect to get here
             #     raise ValueError("Unexpected call")
             #     # return fetch_trades_result[:-2]
-        elif kwargs.get("params", {}).get(exchange._trades_pagination_arg) == "0":
+        elif kwargs.get("params", {}).get(exchange._ft_has["trades_pagination_arg"]) == "0":
             # Return first 3
             return fetch_trades_result[:-2]
-        # elif kwargs.get("params", {}).get(exchange._trades_pagination_arg) in (
+        # elif kwargs.get("params", {}).get(exchange._ft_has['trades_pagination_arg']) in (
         #     fetch_trades_result[-3]["id"],
         #     1565798399752,
         # ):

tests/exchange/test_bybit.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from unittest.mock import MagicMock
 
 import pytest
@@ -73,7 +73,7 @@ async def test_bybit_fetch_funding_rate(default_conf, mocker):
 
 
 def test_bybit_get_funding_fees(default_conf, mocker):
-    now = datetime.now(timezone.utc)
+    now = datetime.now(UTC)
     exchange = get_patched_exchange(mocker, default_conf, exchange="bybit")
     exchange._fetch_and_calculate_funding_fees = MagicMock()
     exchange.get_funding_fees("BTC/USDT:USDT", 1, False, now)
@@ -117,7 +117,7 @@ def test_bybit_fetch_orders(default_conf, mocker, limit_order):
         return True
 
     mocker.patch(f"{EXMS}.exchange_has", side_effect=exchange_has)
-    start_time = datetime.now(timezone.utc) - timedelta(days=20)
+    start_time = datetime.now(UTC) - timedelta(days=20)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, exchange="bybit")
     # Not available in dry-run

tests/exchange/test_exchange.py

@@ -1,7 +1,7 @@
 import copy
 import logging
 from copy import deepcopy
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from random import randint
 from unittest.mock import MagicMock, Mock, PropertyMock, patch
 
@@ -35,7 +35,6 @@ from freqtrade.exchange.common import (
     API_FETCH_ORDER_RETRY_COUNT,
     API_RETRY_COUNT,
     calculate_backoff,
-    remove_exchange_credentials,
 )
 from freqtrade.resolvers.exchange_resolver import ExchangeResolver
 from freqtrade.util import dt_now, dt_ts
@@ -167,20 +166,6 @@ def test_init(default_conf, mocker, caplog):
     assert log_has("Instance is running with dry_run enabled", caplog)
 
 
-def test_remove_exchange_credentials(default_conf) -> None:
-    conf = deepcopy(default_conf)
-    remove_exchange_credentials(conf["exchange"], False)
-
-    assert conf["exchange"]["key"] != ""
-    assert conf["exchange"]["secret"] != ""
-
-    remove_exchange_credentials(conf["exchange"], True)
-    assert conf["exchange"]["key"] == ""
-    assert conf["exchange"]["secret"] == ""
-    assert conf["exchange"]["password"] == ""
-    assert conf["exchange"]["uid"] == ""
-
-
 def test_init_ccxt_kwargs(default_conf, mocker, caplog):
     mocker.patch(f"{EXMS}.reload_markets")
     mocker.patch(f"{EXMS}.validate_stakecurrency")
@@ -1743,7 +1728,7 @@ def test_fetch_orders(default_conf, mocker, exchange_name, limit_order):
     api_mock.fetch_closed_orders = MagicMock(return_value=[limit_order["buy"]])
 
     mocker.patch(f"{EXMS}.exchange_has", return_value=True)
-    start_time = datetime.now(timezone.utc) - timedelta(days=20)
+    start_time = datetime.now(UTC) - timedelta(days=20)
     expected = 1
     if exchange_name == "bybit":
         expected = 3
@@ -2121,7 +2106,7 @@ def test___now_is_time_to_refresh(default_conf, mocker, exchange_name, time_mach
     exchange = get_patched_exchange(mocker, default_conf, exchange=exchange_name)
     pair = "BTC/USDT"
     candle_type = CandleType.SPOT
-    start_dt = datetime(2023, 12, 1, 0, 10, 0, tzinfo=timezone.utc)
+    start_dt = datetime(2023, 12, 1, 0, 10, 0, tzinfo=UTC)
     time_machine.move_to(start_dt, tick=False)
     assert (pair, "5m", candle_type) not in exchange._pairs_last_refresh_time
 
@@ -2144,7 +2129,7 @@ def test___now_is_time_to_refresh(default_conf, mocker, exchange_name, time_mach
     assert exchange._now_is_time_to_refresh(pair, "5m", candle_type) is True
 
     # Test with 1d data
-    start_day_dt = datetime(2023, 12, 1, 0, 0, 0, tzinfo=timezone.utc)
+    start_day_dt = datetime(2023, 12, 1, 0, 0, 0, tzinfo=UTC)
     last_closed_candle_1d = dt_ts(start_day_dt - timedelta(days=1))
     exchange._pairs_last_refresh_time[(pair, "1d", candle_type)] = last_closed_candle_1d
 
@@ -2212,7 +2197,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name, candle_
 async def test__async_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name, candle_type):
     ohlcv = [
         [
-            int((datetime.now(timezone.utc).timestamp() - 1000) * 1000),
+            int((datetime.now(UTC).timestamp() - 1000) * 1000),
             1,  # open
             2,  # high
             3,  # low
@@ -2516,7 +2501,7 @@ def test_refresh_latest_trades(
 
 @pytest.mark.parametrize("candle_type", [CandleType.FUTURES, CandleType.MARK, CandleType.SPOT])
 def test_refresh_latest_ohlcv_cache(mocker, default_conf, candle_type, time_machine) -> None:
-    start = datetime(2021, 8, 1, 0, 0, 0, 0, tzinfo=timezone.utc)
+    start = datetime(2021, 8, 1, 0, 0, 0, 0, tzinfo=UTC)
     ohlcv = generate_test_data_raw("1h", 100, start.strftime("%Y-%m-%d"))
     time_machine.move_to(start + timedelta(hours=99, minutes=30))
 
@@ -2610,7 +2595,7 @@ def test_refresh_latest_ohlcv_cache(mocker, default_conf, candle_type, time_mach
 
 
 def test_refresh_ohlcv_with_cache(mocker, default_conf, time_machine) -> None:
-    start = datetime(2021, 8, 1, 0, 0, 0, 0, tzinfo=timezone.utc)
+    start = datetime(2021, 8, 1, 0, 0, 0, 0, tzinfo=UTC)
     ohlcv = generate_test_data_raw("1h", 100, start.strftime("%Y-%m-%d"))
     time_machine.move_to(start, tick=False)
     pairs = [
@@ -2918,7 +2903,7 @@ def test_get_entry_rate(
     mocker, default_conf, caplog, side, ask, bid, last, last_ab, expected, time_machine
 ) -> None:
     caplog.set_level(logging.DEBUG)
-    start_dt = datetime(2023, 12, 1, 0, 10, 0, tzinfo=timezone.utc)
+    start_dt = datetime(2023, 12, 1, 0, 10, 0, tzinfo=UTC)
     time_machine.move_to(start_dt, tick=False)
     if last_ab is None:
         del default_conf["entry_pricing"]["price_last_balance"]
@@ -2955,7 +2940,7 @@ def test_get_exit_rate(
     default_conf, mocker, caplog, side, bid, ask, last, last_ab, expected, time_machine
 ) -> None:
     caplog.set_level(logging.DEBUG)
-    start_dt = datetime(2023, 12, 1, 0, 10, 0, tzinfo=timezone.utc)
+    start_dt = datetime(2023, 12, 1, 0, 10, 0, tzinfo=UTC)
     time_machine.move_to(start_dt, tick=False)
 
     default_conf["exit_pricing"]["price_side"] = side
@@ -3284,7 +3269,7 @@ async def test__async_fetch_trades(
     assert isinstance(res, list)
     assert isinstance(res[0], list)
     assert isinstance(res[1], list)
-    if exchange._trades_pagination == "id":
+    if exchange._ft_has["trades_pagination"] == "id":
         if exchange_name == "kraken":
             assert pagid == 1565798399872512133
         else:
@@ -3305,7 +3290,7 @@ async def test__async_fetch_trades(
     assert exchange._api_async.fetch_trades.call_args[1]["limit"] == 1000
     assert exchange._api_async.fetch_trades.call_args[1]["params"] == {"from": "123"}
 
-    if exchange._trades_pagination == "id":
+    if exchange._ft_has["trades_pagination"] == "id":
         if exchange_name == "kraken":
             assert pagid == 1565798399872512133
         else:
@@ -3394,10 +3379,10 @@ async def test__async_get_trade_history_id(
 ):
     default_conf["exchange"]["only_from_ccxt"] = True
     exchange = get_patched_exchange(mocker, default_conf, exchange=exchange_name)
-    if exchange._trades_pagination != "id":
+    if exchange._ft_has["trades_pagination"] != "id":
         exchange.close()
         pytest.skip("Exchange does not support pagination by trade id")
-    pagination_arg = exchange._trades_pagination_arg
+    pagination_arg = exchange._ft_has["trades_pagination_arg"]
 
     async def mock_get_trade_hist(pair, *args, **kwargs):
         if "since" in kwargs:
@@ -3471,7 +3456,7 @@ async def test__async_get_trade_history_time(
 
     caplog.set_level(logging.DEBUG)
     exchange = get_patched_exchange(mocker, default_conf, exchange=exchange_name)
-    if exchange._trades_pagination != "time":
+    if exchange._ft_has["trades_pagination"] != "time":
         exchange.close()
         pytest.skip("Exchange does not support pagination by timestamp")
     # Monkey-patch async function
@@ -4034,7 +4019,7 @@ def test_get_trades_for_order(default_conf, mocker, exchange_name, trading_mode,
     assert api_mock.fetch_my_trades.call_args[0][1] == 1525478395000
     assert (
         api_mock.fetch_my_trades.call_args[0][1]
-        == int(since.replace(tzinfo=timezone.utc).timestamp() - 5) * 1000
+        == int(since.replace(tzinfo=UTC).timestamp() - 5) * 1000
     )
 
     ccxt_exceptionhandlers(
@@ -4800,7 +4785,7 @@ def test_calculate_backoff(retrycount, max_retries, expected):
 
 @pytest.mark.parametrize("exchange_name", EXCHANGES)
 def test_get_funding_fees(default_conf_usdt, mocker, exchange_name, caplog):
-    now = datetime.now(timezone.utc)
+    now = datetime.now(UTC)
     default_conf_usdt["trading_mode"] = "futures"
     default_conf_usdt["margin_mode"] = "isolated"
     exchange = get_patched_exchange(mocker, default_conf_usdt, exchange=exchange_name)
@@ -5017,8 +5002,8 @@ def test_calculate_funding_fees(
 ):
     exchange = get_patched_exchange(mocker, default_conf)
     kraken = get_patched_exchange(mocker, default_conf, exchange="kraken")
-    prior_date = timeframe_to_prev_date("1h", datetime.now(timezone.utc) - timedelta(hours=1))
+    prior_date = timeframe_to_prev_date("1h", datetime.now(UTC) - timedelta(hours=1))
-    trade_date = timeframe_to_prev_date("1h", datetime.now(timezone.utc))
+    trade_date = timeframe_to_prev_date("1h", datetime.now(UTC))
     funding_rates = DataFrame(
         [
             {"date": prior_date, "open": funding_rate},  # Line not used.
@@ -5087,9 +5072,9 @@ def test_combine_funding_and_mark(
     futures_funding_rate,
 ):
     exchange = get_patched_exchange(mocker, default_conf)
-    prior2_date = timeframe_to_prev_date("1h", datetime.now(timezone.utc) - timedelta(hours=2))
+    prior2_date = timeframe_to_prev_date("1h", datetime.now(UTC) - timedelta(hours=2))
-    prior_date = timeframe_to_prev_date("1h", datetime.now(timezone.utc) - timedelta(hours=1))
+    prior_date = timeframe_to_prev_date("1h", datetime.now(UTC) - timedelta(hours=1))
-    trade_date = timeframe_to_prev_date("1h", datetime.now(timezone.utc))
+    trade_date = timeframe_to_prev_date("1h", datetime.now(UTC))
     funding_rates = DataFrame(
         [
             {"date": prior2_date, "open": funding_rate},
@@ -5946,10 +5931,14 @@ def test_get_max_leverage_futures(default_conf, mocker, leverage_tiers):
     assert exchange.get_max_leverage("SPONGE/USDT:USDT", 200) == 1.0  # Pair not in leverage_tiers
     assert exchange.get_max_leverage("BTC/USDT:USDT", 0.0) == 125.0  # No stake amount
     with pytest.raises(
-        InvalidOrderException, match=r"Amount 1000000000.01 too high for BTC/USDT:USDT"
+        InvalidOrderException, match=r"Stake amount 1000000000.01 too high for BTC/USDT:USDT"
     ):
         exchange.get_max_leverage("BTC/USDT:USDT", 1000000000.01)
 
+    assert exchange.get_max_leverage("TIA/USDT:USDT", 130) == 50
+    assert exchange.get_max_leverage("TIA/USDT:USDT", 131) == 40
+    assert exchange.get_max_leverage("TIA/USDT:USDT", 130.008) == 40
+
 
 @pytest.mark.parametrize("exchange_name", ["binance", "kraken", "gate", "okx", "bybit"])
 def test__get_params(mocker, default_conf, exchange_name):

tests/exchange/test_exchange_utils.py

@@ -1,5 +1,5 @@
 # pragma pylint: disable=missing-docstring, protected-access, invalid-name
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from math import isnan, nan
 
 import pytest
@@ -117,7 +117,7 @@ def test_check_exchange(default_conf, caplog) -> None:
 
 
 def test_date_minus_candles():
-    date = datetime(2019, 8, 12, 13, 25, 0, tzinfo=timezone.utc)
+    date = datetime(2019, 8, 12, 13, 25, 0, tzinfo=UTC)
 
     assert date_minus_candles("5m", 3, date) == date - timedelta(minutes=15)
     assert date_minus_candles("5m", 5, date) == date - timedelta(minutes=25)
@@ -167,59 +167,59 @@ def test_timeframe_to_resample_freq(timeframe, expected):
 
 def test_timeframe_to_prev_date():
     # 2019-08-12 13:22:08
-    date = datetime.fromtimestamp(1565616128, tz=timezone.utc)
+    date = datetime.fromtimestamp(1565616128, tz=UTC)
 
     tf_list = [
         # 5m -> 2019-08-12 13:20:00
-        ("5m", datetime(2019, 8, 12, 13, 20, 0, tzinfo=timezone.utc)),
+        ("5m", datetime(2019, 8, 12, 13, 20, 0, tzinfo=UTC)),
         # 10m -> 2019-08-12 13:20:00
-        ("10m", datetime(2019, 8, 12, 13, 20, 0, tzinfo=timezone.utc)),
+        ("10m", datetime(2019, 8, 12, 13, 20, 0, tzinfo=UTC)),
         # 1h -> 2019-08-12 13:00:00
-        ("1h", datetime(2019, 8, 12, 13, 00, 0, tzinfo=timezone.utc)),
+        ("1h", datetime(2019, 8, 12, 13, 00, 0, tzinfo=UTC)),
         # 2h -> 2019-08-12 12:00:00
-        ("2h", datetime(2019, 8, 12, 12, 00, 0, tzinfo=timezone.utc)),
+        ("2h", datetime(2019, 8, 12, 12, 00, 0, tzinfo=UTC)),
         # 4h -> 2019-08-12 12:00:00
-        ("4h", datetime(2019, 8, 12, 12, 00, 0, tzinfo=timezone.utc)),
+        ("4h", datetime(2019, 8, 12, 12, 00, 0, tzinfo=UTC)),
         # 1d -> 2019-08-12 00:00:00
-        ("1d", datetime(2019, 8, 12, 00, 00, 0, tzinfo=timezone.utc)),
+        ("1d", datetime(2019, 8, 12, 00, 00, 0, tzinfo=UTC)),
     ]
     for interval, result in tf_list:
         assert timeframe_to_prev_date(interval, date) == result
 
-    date = datetime.now(tz=timezone.utc)
+    date = datetime.now(tz=UTC)
     assert timeframe_to_prev_date("5m") < date
     # Does not round
-    time = datetime(2019, 8, 12, 13, 20, 0, tzinfo=timezone.utc)
+    time = datetime(2019, 8, 12, 13, 20, 0, tzinfo=UTC)
     assert timeframe_to_prev_date("5m", time) == time
-    time = datetime(2019, 8, 12, 13, 0, 0, tzinfo=timezone.utc)
+    time = datetime(2019, 8, 12, 13, 0, 0, tzinfo=UTC)
     assert timeframe_to_prev_date("1h", time) == time
 
 
 def test_timeframe_to_next_date():
     # 2019-08-12 13:22:08
-    date = datetime.fromtimestamp(1565616128, tz=timezone.utc)
+    date = datetime.fromtimestamp(1565616128, tz=UTC)
     tf_list = [
         # 5m -> 2019-08-12 13:25:00
-        ("5m", datetime(2019, 8, 12, 13, 25, 0, tzinfo=timezone.utc)),
+        ("5m", datetime(2019, 8, 12, 13, 25, 0, tzinfo=UTC)),
         # 10m -> 2019-08-12 13:30:00
-        ("10m", datetime(2019, 8, 12, 13, 30, 0, tzinfo=timezone.utc)),
+        ("10m", datetime(2019, 8, 12, 13, 30, 0, tzinfo=UTC)),
         # 1h -> 2019-08-12 14:00:00
-        ("1h", datetime(2019, 8, 12, 14, 00, 0, tzinfo=timezone.utc)),
+        ("1h", datetime(2019, 8, 12, 14, 00, 0, tzinfo=UTC)),
         # 2h -> 2019-08-12 14:00:00
-        ("2h", datetime(2019, 8, 12, 14, 00, 0, tzinfo=timezone.utc)),
+        ("2h", datetime(2019, 8, 12, 14, 00, 0, tzinfo=UTC)),
         # 4h -> 2019-08-12 14:00:00
-        ("4h", datetime(2019, 8, 12, 16, 00, 0, tzinfo=timezone.utc)),
+        ("4h", datetime(2019, 8, 12, 16, 00, 0, tzinfo=UTC)),
         # 1d -> 2019-08-13 00:00:00
-        ("1d", datetime(2019, 8, 13, 0, 0, 0, tzinfo=timezone.utc)),
+        ("1d", datetime(2019, 8, 13, 0, 0, 0, tzinfo=UTC)),
     ]
 
     for interval, result in tf_list:
         assert timeframe_to_next_date(interval, date) == result
 
-    date = datetime.now(tz=timezone.utc)
+    date = datetime.now(tz=UTC)
     assert timeframe_to_next_date("5m") > date
 
-    date = datetime(2019, 8, 12, 13, 30, 0, tzinfo=timezone.utc)
+    date = datetime(2019, 8, 12, 13, 30, 0, tzinfo=UTC)
     assert timeframe_to_next_date("5m", date) == date + timedelta(minutes=5)
 
 

tests/exchange/test_exchange_ws.py

@@ -50,18 +50,18 @@ def test_exchangews_cleanup_error(mocker, caplog):
 
 
 def patch_eventloop_threading(exchange):
-    is_init = False
+    init_event = threading.Event()
 
-    def thread_fuck():
+    def thread_func():
-        nonlocal is_init
         exchange._loop = asyncio.new_event_loop()
-        is_init = True
+        init_event.set()
         exchange._loop.run_forever()
 
-    x = threading.Thread(target=thread_fuck, daemon=True)
+    x = threading.Thread(target=thread_func, daemon=True)
     x.start()
-    while not is_init:
+    # Wait for thread to be properly initialized with timeout
-        pass
+    if not init_event.wait(timeout=5.0):
+        raise RuntimeError("Failed to initialize event loop thread")
 
 
 async def test_exchangews_ohlcv(mocker, time_machine, caplog):
@@ -69,14 +69,24 @@ async def test_exchangews_ohlcv(mocker, time_machine, caplog):
     ccxt_object = MagicMock()
     caplog.set_level(logging.DEBUG)
 
-    async def sleeper(*args, **kwargs):
+    async def controlled_sleeper(*args, **kwargs):
-        # pass
+        # Sleep to pass control back to the event loop
-        await asyncio.sleep(0.12)
+        await asyncio.sleep(0.1)
         return MagicMock()
 
-    ccxt_object.un_watch_ohlcv_for_symbols = AsyncMock(side_effect=NotSupported)
+    async def wait_for_condition(condition_func, timeout_=5.0, check_interval=0.01):
+        """Wait for a condition to be true with timeout."""
+        try:
+            async with asyncio.timeout(timeout_):
+                while True:
+                    if condition_func():
+                        return True
+                    await asyncio.sleep(check_interval)
+        except TimeoutError:
+            return False
 
-    ccxt_object.watch_ohlcv = AsyncMock(side_effect=sleeper)
+    ccxt_object.un_watch_ohlcv_for_symbols = AsyncMock(side_effect=NotSupported)
+    ccxt_object.watch_ohlcv = AsyncMock(side_effect=controlled_sleeper)
     ccxt_object.close = AsyncMock()
     time_machine.move_to("2024-11-01 01:00:02 +00:00")
 
@@ -90,7 +100,14 @@ async def test_exchangews_ohlcv(mocker, time_machine, caplog):
 
         exchange_ws.schedule_ohlcv("ETH/BTC", "1m", CandleType.SPOT)
         exchange_ws.schedule_ohlcv("XRP/BTC", "1m", CandleType.SPOT)
-        await asyncio.sleep(0.2)
+
+        # Wait for both pairs to be properly scheduled and watching
+        await wait_for_condition(
+            lambda: (
+                len(exchange_ws._klines_watching) == 2 and len(exchange_ws._klines_scheduled) == 2
+            ),
+            timeout_=2.0,
+        )
 
         assert exchange_ws._klines_watching == {
             ("ETH/BTC", "1m", CandleType.SPOT),
@@ -100,14 +117,21 @@ async def test_exchangews_ohlcv(mocker, time_machine, caplog):
             ("ETH/BTC", "1m", CandleType.SPOT),
             ("XRP/BTC", "1m", CandleType.SPOT),
         }
-        await asyncio.sleep(0.1)
+
-        assert ccxt_object.watch_ohlcv.call_count == 6
+        # Wait for the expected number of watch calls
+        await wait_for_condition(lambda: ccxt_object.watch_ohlcv.call_count >= 6, timeout_=3.0)
+        assert ccxt_object.watch_ohlcv.call_count >= 6
         ccxt_object.watch_ohlcv.reset_mock()
 
         time_machine.shift(timedelta(minutes=5))
         exchange_ws.schedule_ohlcv("ETH/BTC", "1m", CandleType.SPOT)
-        await asyncio.sleep(1)
+
+        # Wait for log message
+        await wait_for_condition(
+            lambda: log_has_re("un_watch_ohlcv_for_symbols not supported: ", caplog), timeout_=2.0
+        )
         assert log_has_re("un_watch_ohlcv_for_symbols not supported: ", caplog)
+
         # XRP/BTC should be cleaned up.
         assert exchange_ws._klines_watching == {
             ("ETH/BTC", "1m", CandleType.SPOT),
@@ -116,6 +140,8 @@ async def test_exchangews_ohlcv(mocker, time_machine, caplog):
         # Cleanup happened.
         ccxt_object.un_watch_ohlcv_for_symbols = AsyncMock(side_effect=ValueError)
         exchange_ws.schedule_ohlcv("ETH/BTC", "1m", CandleType.SPOT)
+
+        # Verify final state
         assert exchange_ws._klines_watching == {
             ("ETH/BTC", "1m", CandleType.SPOT),
         }

tests/exchange/test_gate.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from unittest.mock import MagicMock
 
 import pytest
@@ -113,7 +113,7 @@ def test_fetch_my_trades_gate(mocker, default_conf, takerormaker, rate, cost):
     )
     exchange = get_patched_exchange(mocker, default_conf, api_mock=api_mock, exchange="gate")
     exchange._trading_fees = tick
-    trades = exchange.get_trades_for_order("22255", "ETH/USDT:USDT", datetime.now(timezone.utc))
+    trades = exchange.get_trades_for_order("22255", "ETH/USDT:USDT", datetime.now(UTC))
     trade = trades[0]
     assert trade["fee"]
     assert trade["fee"]["rate"] == rate

tests/exchange/test_hyperliquid.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from unittest.mock import MagicMock, PropertyMock
 
 import pytest
@@ -306,7 +306,7 @@ def test_hyperliquid_dry_run_liquidation_price(default_conf, mocker):
 
 
 def test_hyperliquid_get_funding_fees(default_conf, mocker):
-    now = datetime.now(timezone.utc)
+    now = datetime.now(UTC)
     exchange = get_patched_exchange(mocker, default_conf, exchange="hyperliquid")
     exchange._fetch_and_calculate_funding_fees = MagicMock()
     exchange.get_funding_fees("BTC/USDC:USDC", 1, False, now)

tests/exchange/test_okx.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from unittest.mock import AsyncMock, MagicMock, PropertyMock
 
 import ccxt
@@ -15,7 +15,7 @@ from tests.exchange.test_exchange import ccxt_exceptionhandlers
 def test_okx_ohlcv_candle_limit(default_conf, mocker):
     exchange = get_patched_exchange(mocker, default_conf, exchange="okx")
     timeframes = ("1m", "5m", "1h")
-    start_time = int(datetime(2021, 1, 1, tzinfo=timezone.utc).timestamp() * 1000)
+    start_time = int(datetime(2021, 1, 1, tzinfo=UTC).timestamp() * 1000)
 
     for timeframe in timeframes:
         assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT) == 300
@@ -29,8 +29,7 @@ def test_okx_ohlcv_candle_limit(default_conf, mocker):
         assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUNDING_RATE, start_time) == 100
         one_call = int(
             (
-                datetime.now(timezone.utc)
+                datetime.now(UTC) - timedelta(minutes=290 * timeframe_to_minutes(timeframe))
-                - timedelta(minutes=290 * timeframe_to_minutes(timeframe))
             ).timestamp()
             * 1000
         )
@@ -40,8 +39,7 @@ def test_okx_ohlcv_candle_limit(default_conf, mocker):
 
         one_call = int(
             (
-                datetime.now(timezone.utc)
+                datetime.now(UTC) - timedelta(minutes=320 * timeframe_to_minutes(timeframe))
-                - timedelta(minutes=320 * timeframe_to_minutes(timeframe))
             ).timestamp()
             * 1000
         )
@@ -693,7 +691,7 @@ def test_fetch_orders_okx(default_conf, mocker, limit_order):
     api_mock.fetch_closed_orders = MagicMock(return_value=[limit_order["buy"]])
 
     mocker.patch(f"{EXMS}.exchange_has", return_value=True)
-    start_time = datetime.now(timezone.utc) - timedelta(days=20)
+    start_time = datetime.now(UTC) - timedelta(days=20)
 
     exchange = get_patched_exchange(mocker, default_conf, api_mock, exchange="okx")
     # Not available in dry-run
@@ -727,7 +725,7 @@ def test_fetch_orders_okx(default_conf, mocker, limit_order):
     api_mock.fetch_closed_orders.reset_mock()
 
     # regular closed_orders endpoint only has history for 7 days.
-    exchange.fetch_orders("mocked", datetime.now(timezone.utc) - timedelta(days=6))
+    exchange.fetch_orders("mocked", datetime.now(UTC) - timedelta(days=6))
     assert api_mock.fetch_orders.call_count == 0
     assert api_mock.fetch_open_orders.call_count == 1
     assert api_mock.fetch_closed_orders.call_count == 1

tests/exchange_online/test_ccxt_compat.py

@@ -5,7 +5,7 @@ However, these tests should give a good idea to determine if a new exchange is
 suitable to run with freqtrade.
 """
 
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 
 import pytest
 
@@ -248,7 +248,7 @@ class TestCCXTExchange:
             len(exch.klines(pair_tf)) > exch.ohlcv_candle_limit(timeframe, CandleType.SPOT) * 0.90
         )
         # Check if last-timeframe is within the last 2 intervals
-        now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
+        now = datetime.now(UTC) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
         assert exch.klines(pair_tf).iloc[-1]["date"] >= timeframe_to_prev_date(timeframe, now)
 
     def test_ccxt_fetch_ohlcv_startdate(self, exchange: EXCHANGE_FIXTURE_TYPE):
@@ -266,7 +266,7 @@ class TestCCXTExchange:
         assert isinstance(ohlcv, dict)
         assert len(ohlcv[pair_tf]) == len(exch.klines(pair_tf))
         # Check if last-timeframe is within the last 2 intervals
-        now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
+        now = datetime.now(UTC) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
         assert exch.klines(pair_tf).iloc[-1]["date"] >= timeframe_to_prev_date(timeframe, now)
         assert exch.klines(pair_tf)["date"].astype(int).iloc[0] // 1e6 == since_ms
 
@@ -274,7 +274,7 @@ class TestCCXTExchange:
         self, exchange, exchangename, pair, timeframe, candle_type, factor=0.9
     ):
         timeframe_ms = timeframe_to_msecs(timeframe)
-        now = timeframe_to_prev_date(timeframe, datetime.now(timezone.utc))
+        now = timeframe_to_prev_date(timeframe, datetime.now(UTC))
         for offset in (360, 120, 30, 10, 5, 2):
             since = now - timedelta(days=offset)
             since_ms = int(since.timestamp() * 1000)
@@ -336,7 +336,7 @@ class TestCCXTExchange:
         exchange, exchangename = exchange_futures
 
         pair = EXCHANGES[exchangename].get("futures_pair", EXCHANGES[exchangename]["pair"])
-        since = int((datetime.now(timezone.utc) - timedelta(days=5)).timestamp() * 1000)
+        since = int((datetime.now(UTC) - timedelta(days=5)).timestamp() * 1000)
         timeframe_ff = exchange._ft_has.get(
             "funding_fee_timeframe", exchange._ft_has["mark_ohlcv_timeframe"]
         )
@@ -371,7 +371,7 @@ class TestCCXTExchange:
     def test_ccxt_fetch_mark_price_history(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
         exchange, exchangename = exchange_futures
         pair = EXCHANGES[exchangename].get("futures_pair", EXCHANGES[exchangename]["pair"])
-        since = int((datetime.now(timezone.utc) - timedelta(days=5)).timestamp() * 1000)
+        since = int((datetime.now(UTC) - timedelta(days=5)).timestamp() * 1000)
         pair_tf = (pair, "1h", CandleType.MARK)
 
         mark_ohlcv = exchange.refresh_latest_ohlcv([pair_tf], since_ms=since, drop_incomplete=False)
@@ -389,7 +389,7 @@ class TestCCXTExchange:
     def test_ccxt__calculate_funding_fees(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
         exchange, exchangename = exchange_futures
         pair = EXCHANGES[exchangename].get("futures_pair", EXCHANGES[exchangename]["pair"])
-        since = datetime.now(timezone.utc) - timedelta(days=5)
+        since = datetime.now(UTC) - timedelta(days=5)
 
         funding_fee = exchange._fetch_and_calculate_funding_fees(
             pair, 20, is_short=False, open_date=since
@@ -403,7 +403,7 @@ class TestCCXTExchange:
         if not (lookback := EXCHANGES[exchangename].get("trades_lookback_hours")):
             pytest.skip("test_fetch_trades not enabled for this exchange")
         pair = EXCHANGES[exchangename]["pair"]
-        since = int((datetime.now(timezone.utc) - timedelta(hours=lookback)).timestamp() * 1000)
+        since = int((datetime.now(UTC) - timedelta(hours=lookback)).timestamp() * 1000)
         res = exch.loop.run_until_complete(exch._async_get_trade_history(pair, since, None, None))
         assert len(res) == 2
         res_pair, res_trades = res

tests/freqai/test_freqai_backtesting.py

@@ -1,5 +1,5 @@
 from copy import deepcopy
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 from pathlib import Path
 from unittest.mock import PropertyMock
 
@@ -28,7 +28,7 @@ from tests.freqai.conftest import get_patched_freqai_strategy
 def test_freqai_backtest_start_backtest_list(freqai_conf, mocker, testdatadir, caplog):
     patch_exchange(mocker)
 
-    now = datetime.now(timezone.utc)
+    now = datetime.now(UTC)
     mocker.patch(
         "freqtrade.plugins.pairlistmanager.PairListManager.whitelist",
         PropertyMock(return_value=["HULUMULU/USDT", "XRP/USDT"]),
@@ -73,7 +73,7 @@ def test_freqai_backtest_load_data(
 ):
     patch_exchange(mocker)
 
-    now = datetime.now(timezone.utc)
+    now = datetime.now(UTC)
     mocker.patch(
         "freqtrade.plugins.pairlistmanager.PairListManager.whitelist",
         PropertyMock(return_value=["HULUMULU/USDT", "XRP/USDT"]),
@@ -98,7 +98,7 @@ def test_freqai_backtest_load_data(
 def test_freqai_backtest_live_models_model_not_found(freqai_conf, mocker, testdatadir, caplog):
     patch_exchange(mocker)
 
-    now = datetime.now(timezone.utc)
+    now = datetime.now(UTC)
     mocker.patch(
         "freqtrade.plugins.pairlistmanager.PairListManager.whitelist",
         PropertyMock(return_value=["HULUMULU/USDT", "XRP/USDT"]),
@@ -163,6 +163,6 @@ def test_freqai_backtest_consistent_timerange(mocker, freqai_conf):
     backtesting = Backtesting(deepcopy(freqai_conf))
     backtesting.start()
 
-    assert gbs.call_args[1]["min_date"] == datetime(2021, 11, 20, 0, 0, tzinfo=timezone.utc)
+    assert gbs.call_args[1]["min_date"] == datetime(2021, 11, 20, 0, 0, tzinfo=UTC)
-    assert gbs.call_args[1]["max_date"] == datetime(2021, 11, 21, 0, 0, tzinfo=timezone.utc)
+    assert gbs.call_args[1]["max_date"] == datetime(2021, 11, 21, 0, 0, tzinfo=UTC)
     Backtesting.cleanup()

tests/freqai/test_freqai_datakitchen.py

@@ -1,5 +1,5 @@
 import shutil
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from pathlib import Path
 from unittest.mock import MagicMock
 
@@ -67,9 +67,9 @@ def test_split_timerange(
 
 def test_check_if_model_expired(mocker, freqai_conf):
     dk = get_patched_data_kitchen(mocker, freqai_conf)
-    now = datetime.now(tz=timezone.utc).timestamp()
+    now = datetime.now(tz=UTC).timestamp()
     assert dk.check_if_model_expired(now) is False
-    now = (datetime.now(tz=timezone.utc) - timedelta(hours=2)).timestamp()
+    now = (datetime.now(tz=UTC) - timedelta(hours=2)).timestamp()
     assert dk.check_if_model_expired(now) is True
     shutil.rmtree(Path(dk.full_path))
 

tests/optimize/test_backtesting.py

@@ -3,7 +3,7 @@
 import random
 from collections import defaultdict
 from copy import deepcopy
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from pathlib import Path
 from unittest.mock import ANY, MagicMock, PropertyMock
 
@@ -687,7 +687,7 @@ def test_backtest__check_trade_exit(default_conf, mocker) -> None:
     backtesting._set_strategy(backtesting.strategylist[0])
     pair = "UNITTEST/BTC"
     row = [
-        pd.Timestamp(year=2020, month=1, day=1, hour=4, minute=55, tzinfo=timezone.utc),
+        pd.Timestamp(year=2020, month=1, day=1, hour=4, minute=55, tzinfo=UTC),
         200,  # Open
         201.5,  # High
         195,  # Low
@@ -705,7 +705,7 @@ def test_backtest__check_trade_exit(default_conf, mocker) -> None:
     assert isinstance(trade, LocalTrade)
 
     row_sell = [
-        pd.Timestamp(year=2020, month=1, day=1, hour=5, minute=0, tzinfo=timezone.utc),
+        pd.Timestamp(year=2020, month=1, day=1, hour=5, minute=0, tzinfo=UTC),
         200,  # Open
         210.5,  # High
         195,  # Low
@@ -723,7 +723,7 @@ def test_backtest__check_trade_exit(default_conf, mocker) -> None:
     res = backtesting._check_trade_exit(trade, row_sell, row_sell[0].to_pydatetime())
     assert res is not None
     assert res.exit_reason == ExitType.ROI.value
-    assert res.close_date_utc == datetime(2020, 1, 1, 5, 0, tzinfo=timezone.utc)
+    assert res.close_date_utc == datetime(2020, 1, 1, 5, 0, tzinfo=UTC)
 
     # Enter new trade
     trade = backtesting._enter_trade(pair, row=row, direction="long")
@@ -928,7 +928,7 @@ def test_backtest_one_detail(default_conf_usdt, mocker, testdatadir, use_detail)
         assert len(t["orders"]) == 2
 
         entryo = t["orders"][0]
-        entry_ts = datetime.fromtimestamp(entryo["order_filled_timestamp"] // 1000, tz=timezone.utc)
+        entry_ts = datetime.fromtimestamp(entryo["order_filled_timestamp"] // 1000, tz=UTC)
         if entry_ts > t["open_date"]:
             late_entry += 1
 
@@ -1039,7 +1039,7 @@ def test_backtest_one_detail_futures(
         assert len(t["orders"]) == 2
 
         entryo = t["orders"][0]
-        entry_ts = datetime.fromtimestamp(entryo["order_filled_timestamp"] // 1000, tz=timezone.utc)
+        entry_ts = datetime.fromtimestamp(entryo["order_filled_timestamp"] // 1000, tz=UTC)
         if entry_ts > t["open_date"]:
             late_entry += 1
 
@@ -1121,7 +1121,7 @@ def test_backtest_one_detail_futures_funding_fees(
         return df
 
     def adjust_trade_position(trade, current_time, **kwargs):
-        if current_time > datetime(2021, 11, 18, 2, 0, 0, tzinfo=timezone.utc):
+        if current_time > datetime(2021, 11, 18, 2, 0, 0, tzinfo=UTC):
             return None
         return default_conf_usdt["stake_amount"]
 
@@ -2564,7 +2564,7 @@ def test_backtest_start_multi_strat_caching(
     mocker.patch("freqtrade.optimize.backtesting.Backtesting.backtest", backtestmock)
     mocker.patch("freqtrade.optimize.backtesting.show_backtest_results", MagicMock())
 
-    now = min_backtest_date = datetime.now(tz=timezone.utc)
+    now = min_backtest_date = datetime.now(tz=UTC)
     start_time = now - timedelta(**start_delta) + timedelta(hours=1)
     if cache == "none":
         min_backtest_date = now + timedelta(days=1)

tests/persistence/test_key_value_store.py

@@ -1,4 +1,4 @@
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 
 import pytest
 
@@ -8,19 +8,19 @@ from tests.conftest import create_mock_trades_usdt
 
 @pytest.mark.usefixtures("init_persistence")
 def test_key_value_store(time_machine):
-    start = datetime(2023, 1, 1, 4, tzinfo=timezone.utc)
+    start = datetime(2023, 1, 1, 4, tzinfo=UTC)
     time_machine.move_to(start, tick=False)
 
     KeyValueStore.store_value("test", "testStringValue")
-    KeyValueStore.store_value("test_dt", datetime.now(timezone.utc))
+    KeyValueStore.store_value("test_dt", datetime.now(UTC))
     KeyValueStore.store_value("test_float", 22.51)
     KeyValueStore.store_value("test_int", 15)
 
     assert KeyValueStore.get_value("test") == "testStringValue"
     assert KeyValueStore.get_value("test") == "testStringValue"
     assert KeyValueStore.get_string_value("test") == "testStringValue"
-    assert KeyValueStore.get_value("test_dt") == datetime.now(timezone.utc)
+    assert KeyValueStore.get_value("test_dt") == datetime.now(UTC)
-    assert KeyValueStore.get_datetime_value("test_dt") == datetime.now(timezone.utc)
+    assert KeyValueStore.get_datetime_value("test_dt") == datetime.now(UTC)
     assert KeyValueStore.get_string_value("test_dt") is None
     assert KeyValueStore.get_float_value("test_dt") is None
     assert KeyValueStore.get_int_value("test_dt") is None
@@ -31,11 +31,11 @@ def test_key_value_store(time_machine):
     assert KeyValueStore.get_datetime_value("test_int") is None
 
     time_machine.move_to(start + timedelta(days=20, hours=5), tick=False)
-    assert KeyValueStore.get_value("test_dt") != datetime.now(timezone.utc)
+    assert KeyValueStore.get_value("test_dt") != datetime.now(UTC)
     assert KeyValueStore.get_value("test_dt") == start
     # Test update works
-    KeyValueStore.store_value("test_dt", datetime.now(timezone.utc))
+    KeyValueStore.store_value("test_dt", datetime.now(UTC))
-    assert KeyValueStore.get_value("test_dt") == datetime.now(timezone.utc)
+    assert KeyValueStore.get_value("test_dt") == datetime.now(UTC)
 
     KeyValueStore.store_value("test_float", 23.51)
     assert KeyValueStore.get_value("test_float") == 23.51
@@ -52,7 +52,7 @@ def test_key_value_store(time_machine):
 @pytest.mark.usefixtures("init_persistence")
 def test_set_startup_time(fee, time_machine):
     create_mock_trades_usdt(fee)
-    start = datetime.now(timezone.utc)
+    start = datetime.now(UTC)
     time_machine.move_to(start, tick=False)
     set_startup_time()
 

tests/persistence/test_persistence.py

@@ -1,5 +1,5 @@
 # pragma pylint: disable=missing-docstring, C0103
-from datetime import datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
 from types import FunctionType
 
 import pytest
@@ -265,7 +265,7 @@ def test_interest(fee, exchange, is_short, lev, minutes, rate, interest, trading
         stake_amount=20.0,
         amount=30.0,
         open_rate=2.0,
-        open_date=datetime.now(timezone.utc) - timedelta(minutes=minutes),
+        open_date=datetime.now(UTC) - timedelta(minutes=minutes),
         fee_open=fee.return_value,
         fee_close=fee.return_value,
         exchange=exchange,
@@ -605,7 +605,7 @@ def test_calc_open_close_trade_price(
         stake_amount=60.0,
         open_rate=2.0,
         amount=30.0,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=10),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=10),
         interest_rate=0.0005,
         fee_open=fee.return_value,
         fee_close=fee.return_value,
@@ -812,7 +812,7 @@ def test_calc_open_trade_value(
         stake_amount=60.0,
         amount=30.0,
         open_rate=2.0,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=10),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=10),
         fee_open=fee_rate,
         fee_close=fee_rate,
         exchange=exchange,
@@ -863,7 +863,7 @@ def test_calc_close_trade_price(
         stake_amount=60.0,
         amount=30.0,
         open_rate=open_rate,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=10),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=10),
         fee_open=fee_rate,
         fee_close=fee_rate,
         exchange=exchange,
@@ -1164,7 +1164,7 @@ def test_calc_profit(
         stake_amount=60.0,
         amount=30.0 * lev,
         open_rate=2.0,
-        open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=10),
+        open_date=datetime.now(tz=UTC) - timedelta(minutes=10),
         interest_rate=0.0005,
         exchange=exchange,
         is_short=is_short,
@@ -1882,7 +1882,7 @@ def test_get_trades_proxy(fee, use_db, is_short):
     assert len(trades) == 2
     assert not trades[0].is_open
 
-    opendate = datetime.now(tz=timezone.utc) - timedelta(minutes=15)
+    opendate = datetime.now(tz=UTC) - timedelta(minutes=15)
 
     assert len(Trade.get_trades_proxy(open_date=opendate)) == 3
 
@@ -1989,7 +1989,7 @@ def test_fully_canceled_entry_order_count(fee, is_short):
 
 @pytest.mark.usefixtures("init_persistence")
 def test_update_order_from_ccxt(caplog, time_machine):
-    start = datetime(2023, 1, 1, 4, tzinfo=timezone.utc)
+    start = datetime(2023, 1, 1, 4, tzinfo=UTC)
     time_machine.move_to(start, tick=False)
 
     # Most basic order return (only has orderid)
@@ -2172,7 +2172,7 @@ def test_trade_truncates_string_fields():
         stake_amount=20.0,
         amount=30.0,
         open_rate=2.0,
-        open_date=datetime.now(timezone.utc) - timedelta(minutes=20),
+        open_date=datetime.now(UTC) - timedelta(minutes=20),
         fee_open=0.001,
         fee_close=0.001,
         exchange="binance",

tests/persistence/test_trade_fromjson.py

@@ -1,5 +1,5 @@
 import json
-from datetime import datetime, timezone
+from datetime import UTC, datetime
 
 import pytest
 
@@ -182,7 +182,7 @@ def test_trade_fromjson():
 
     assert trade.id == 25
     assert trade.pair == "ETH/USDT"
-    assert trade.open_date_utc == datetime(2022, 10, 18, 9, 12, 42, tzinfo=timezone.utc)
+    assert trade.open_date_utc == datetime(2022, 10, 18, 9, 12, 42, tzinfo=UTC)
     assert isinstance(trade.open_date, datetime)
     assert trade.exit_reason == "no longer good"
     assert trade.realized_profit == 2.76315361
@@ -192,7 +192,7 @@ def test_trade_fromjson():
 
     assert len(trade.orders) == 5
     last_o = trade.orders[-1]
-    assert last_o.order_filled_utc == datetime(2022, 10, 18, 9, 45, 22, tzinfo=timezone.utc)
+    assert last_o.order_filled_utc == datetime(2022, 10, 18, 9, 45, 22, tzinfo=UTC)
     assert isinstance(last_o.order_date, datetime)
     assert last_o.funding_fee == -0.055