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Home
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<a href="../docker_quickstart/" class="md-nav__link">
<span class="md-ellipsis">
Quickstart with Docker
</span>
</a>
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<span class="md-ellipsis">
Installation
</span>
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Freqtrade Basics
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Configuration
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Strategy Quickstart
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Strategy Customization
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Strategy Callbacks
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Stoploss
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Plugins
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Start the bot
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Control the bot
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Control the bot
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Telegram
</span>
</a>
</li>
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<a href="../freq-ui/" class="md-nav__link">
<span class="md-ellipsis">
freqUI
</span>
</a>
</li>
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<span class="md-ellipsis">
REST API
</span>
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Web Hook
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Data Downloading
</span>
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<span class="md-ellipsis">
Backtesting
</span>
</a>
</li>
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Hyperopt
</span>
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FreqAI
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FreqAI
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<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../freqai/" class="md-nav__link">
<span class="md-ellipsis">
Introduction
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../freqai-configuration/" class="md-nav__link">
<span class="md-ellipsis">
Configuration
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../freqai-parameter-table/" class="md-nav__link">
<span class="md-ellipsis">
Parameter table
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../freqai-feature-engineering/" class="md-nav__link">
<span class="md-ellipsis">
Feature engineering
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../freqai-running/" class="md-nav__link">
<span class="md-ellipsis">
Running FreqAI
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../freqai-reinforcement-learning/" class="md-nav__link">
<span class="md-ellipsis">
Reinforcement Learning
</span>
</a>
</li>
<li class="md-nav__item">
<a href="../freqai-developers/" class="md-nav__link">
<span class="md-ellipsis">
Developer guide
</span>
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M10 20H6V4h7v5h5v3.1l2-2V8l-6-6H6c-1.1 0-2 .9-2 2v16c0 1.1.9 2 2 2h4zm10.2-7c.1 0 .3.1.4.2l1.3 1.3c.2.2.2.6 0 .8l-1 1-2.1-2.1 1-1c.1-.1.2-.2.4-.2m0 3.9L14.1 23H12v-2.1l6.1-6.1z"/></svg>
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<h1 id="plotting">Plotting<a class="headerlink" href="#plotting" title="Permanent link">&para;</a></h1>
<p>This page explains how to plot prices, indicators and profits.</p>
<div class="admonition warning">
<p class="admonition-title">Deprecated</p>
<p>The commands described in this page (<code>plot-dataframe</code>, <code>plot-profit</code>) should be considered deprecated and are in maintenance mode.
This is mostly for the performance problems even medium sized plots can cause, but also because "store a file and open it in a browser" isn't very intuitive from a UI perspective.</p>
<p>While there are no immediate plans to remove them, they are not actively maintained - and may be removed short-term should major changes be required to keep them working.</p>
<p>Please use <a href="../freq-ui/">FreqUI</a> for plotting needs, which doesn't struggle with the same performance problems.</p>
</div>
<h2 id="installation-setup">Installation / Setup<a class="headerlink" href="#installation-setup" title="Permanent link">&para;</a></h2>
<p>Plotting modules use the Plotly library. You can install / upgrade this by running the following command:</p>
<p><code>bash
pip install -U -r requirements-plot.txt</code></p>
<h2 id="plot-price-and-indicators">Plot price and indicators<a class="headerlink" href="#plot-price-and-indicators" title="Permanent link">&para;</a></h2>
<p>The <code>freqtrade plot-dataframe</code> subcommand shows an interactive graph with three subplots:</p>
<ul>
<li>Main plot with candlesticks and indicators following price (sma/ema)</li>
<li>Volume bars</li>
<li>Additional indicators as specified by <code>--indicators2</code></li>
</ul>
<p><img alt="plot-dataframe" src="../assets/plot-dataframe.png" /></p>
<p>Possible arguments:</p>
<p>``` output
usage: freqtrade plot-dataframe [-h] [-v] [--no-color] [--logfile FILE] [-V]
[-c PATH] [-d PATH] [--userdir PATH] [-s NAME]
[--strategy-path PATH]
[--recursive-strategy-search]
[--freqaimodel NAME] [--freqaimodel-path PATH]
[-p PAIRS [PAIRS ...]]
[--indicators1 INDICATORS1 [INDICATORS1 ...]]
[--indicators2 INDICATORS2 [INDICATORS2 ...]]
[--plot-limit INT] [--db-url PATH]
[--trade-source {DB,file}]
[--export {none,trades,signals}]
[--backtest-filename PATH]
[--timerange TIMERANGE] [-i TIMEFRAME]
[--no-trades]</p>
<p>options:
-h, --help show this help message and exit
-p, --pairs PAIRS [PAIRS ...]
Limit command to these pairs. Pairs are space-
separated.
--indicators1 INDICATORS1 [INDICATORS1 ...]
Set indicators from your strategy you want in the
first row of the graph. Space-separated list. Example:
<code>ema3 ema5</code>. Default: <code>['sma', 'ema3', 'ema5']</code>.
--indicators2 INDICATORS2 [INDICATORS2 ...]
Set indicators from your strategy you want in the
third row of the graph. Space-separated list. Example:
<code>fastd fastk</code>. Default: <code>['macd', 'macdsignal']</code>.
--plot-limit INT Specify tick limit for plotting. Notice: too high
values cause huge files. Default: 750.
--db-url PATH Override trades database URL, this is useful in custom
deployments (default: <code>sqlite:///tradesv3.sqlite</code> for
Live Run mode, <code>sqlite:///tradesv3.dryrun.sqlite</code> for
Dry Run).
--trade-source {DB,file}
Specify the source for trades (Can be DB or file
(backtest file)) Default: file
--export {none,trades,signals}
Export backtest results (default: trades).
--backtest-filename, --export-filename PATH
Use this filename for backtest results.Example:
<code>--backtest-
filename=backtest_results_2020-09-27_16-20-48.json</code>.
Assumes either <code>user_data/backtest_results/</code> or
<code>--export-directory</code> as base directory.
--timerange TIMERANGE
Specify what timerange of data to use.
-i, --timeframe TIMEFRAME
Specify timeframe (<code>1m</code>, <code>5m</code>, <code>30m</code>, <code>1h</code>, <code>1d</code>).
--no-trades Skip using trades from backtesting file and DB.</p>
<p>Common arguments:
-v, --verbose Verbose mode (-vv for more, -vvv to get all messages).
--no-color Disable colorization of hyperopt results. May be
useful if you are redirecting output to a file.
--logfile, --log-file FILE
Log to the file specified. Special values are:
'syslog', 'journald'. See the documentation for more
details.
-V, --version show program's version number and exit
-c, --config PATH Specify configuration file (default:
<code>userdir/config.json</code> or <code>config.json</code> whichever
exists). Multiple --config options may be used. Can be
set to <code>-</code> to read config from stdin.
-d, --datadir, --data-dir PATH
Path to the base directory of the exchange with
historical backtesting data. To see futures data, use
trading-mode additionally.
--userdir, --user-data-dir PATH
Path to userdata directory.</p>
<p>Strategy arguments:
-s, --strategy NAME Specify strategy class name which will be used by the
bot.
--strategy-path PATH Specify additional strategy lookup path.
--recursive-strategy-search
Recursively search for a strategy in the strategies
folder.
--freqaimodel NAME Specify a custom freqaimodels.
--freqaimodel-path PATH
Specify additional lookup path for freqaimodels.</p>
<p>```</p>
<p>Example:</p>
<p><code>bash
freqtrade plot-dataframe -p BTC/ETH --strategy AwesomeStrategy</code></p>
<p>The <code>-p/--pairs</code> argument can be used to specify pairs you would like to plot.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>The <code>freqtrade plot-dataframe</code> subcommand generates one plot-file per pair.</p>
</div>
<p>Specify custom indicators.
Use <code>--indicators1</code> for the main plot and <code>--indicators2</code> for the subplot below (if values are in a different range than prices).</p>
<p><code>bash
freqtrade plot-dataframe --strategy AwesomeStrategy -p BTC/ETH --indicators1 sma ema --indicators2 macd</code></p>
<h3 id="further-usage-examples">Further usage examples<a class="headerlink" href="#further-usage-examples" title="Permanent link">&para;</a></h3>
<p>To plot multiple pairs, separate them with a space:</p>
<p><code>bash
freqtrade plot-dataframe --strategy AwesomeStrategy -p BTC/ETH XRP/ETH</code></p>
<p>To plot a timerange (to zoom in)</p>
<p><code>bash
freqtrade plot-dataframe --strategy AwesomeStrategy -p BTC/ETH --timerange=20180801-20180805</code></p>
<p>To plot trades stored in a database use <code>--db-url</code> in combination with <code>--trade-source DB</code>:</p>
<p><code>bash
freqtrade plot-dataframe --strategy AwesomeStrategy --db-url sqlite:///tradesv3.dry_run.sqlite -p BTC/ETH --trade-source DB</code></p>
<p>To plot trades from a backtesting result, use <code>--export-filename &lt;filename&gt;</code></p>
<p><code>bash
freqtrade plot-dataframe --strategy AwesomeStrategy --export-filename user_data/backtest_results/backtest-result.json -p BTC/ETH</code></p>
<h3 id="plot-dataframe-basics">Plot dataframe basics<a class="headerlink" href="#plot-dataframe-basics" title="Permanent link">&para;</a></h3>
<p><img alt="plot-dataframe2" src="../assets/plot-dataframe2.png" /></p>
<p>The <code>plot-dataframe</code> subcommand requires backtesting data, a strategy and either a backtesting-results file or a database, containing trades corresponding to the strategy.</p>
<p>The resulting plot will have the following elements:</p>
<ul>
<li>Green triangles: Buy signals from the strategy. (Note: not every buy signal generates a trade, compare to cyan circles.)</li>
<li>Red triangles: Sell signals from the strategy. (Also, not every sell signal terminates a trade, compare to red and green squares.)</li>
<li>Cyan circles: Trade entry points.</li>
<li>Red squares: Trade exit points for trades with loss or 0% profit.</li>
<li>Green squares: Trade exit points for profitable trades.</li>
<li>Indicators with values corresponding to the candle scale (e.g. SMA/EMA), as specified with <code>--indicators1</code>.</li>
<li>Volume (bar chart at the bottom of the main chart).</li>
<li>Indicators with values in different scales (e.g. MACD, RSI) below the volume bars, as specified with <code>--indicators2</code>.</li>
</ul>
<div class="admonition note">
<p class="admonition-title">Bollinger Bands</p>
<p>Bollinger bands are automatically added to the plot if the columns <code>bb_lowerband</code> and <code>bb_upperband</code> exist, and are painted as a light blue area spanning from the lower band to the upper band.</p>
</div>
<h4 id="advanced-plot-configuration">Advanced plot configuration<a class="headerlink" href="#advanced-plot-configuration" title="Permanent link">&para;</a></h4>
<p>An advanced plot configuration can be specified in the strategy in the <code>plot_config</code> parameter.</p>
<p>Additional features when using <code>plot_config</code> include:</p>
<ul>
<li>Specify colors per indicator</li>
<li>Specify additional subplots</li>
<li>Specify indicator pairs to fill area in between</li>
</ul>
<p>The sample plot configuration below specifies fixed colors for the indicators. Otherwise, consecutive plots may produce different color schemes each time, making comparisons difficult.
It also allows multiple subplots to display both MACD and RSI at the same time.</p>
<p>Plot type can be configured using <code>type</code> key. Possible types are:</p>
<ul>
<li><code>scatter</code> corresponding to <code>plotly.graph_objects.Scatter</code> class (default).</li>
<li><code>bar</code> corresponding to <code>plotly.graph_objects.Bar</code> class.</li>
</ul>
<p>Extra parameters to <code>plotly.graph_objects.*</code> constructor can be specified in <code>plotly</code> dict.</p>
<p>Sample configuration with inline comments explaining the process:</p>
<p>``` python
@property
def plot_config(self):
"""
There are a lot of solutions how to build the return dictionary.
The only important point is the return value.
Example:
plot_config = {'main_plot': {}, 'subplots': {}}</p>
<div class="codehilite"><pre><span></span><code>&quot;&quot;&quot;
plot_config = {}
plot_config[&#39;main_plot&#39;] = {
# Configuration for main plot indicators.
# Assumes 2 parameters, emashort and emalong to be specified.
f&#39;ema_{self.emashort.value}&#39;: {&#39;color&#39;: &#39;red&#39;},
f&#39;ema_{self.emalong.value}&#39;: {&#39;color&#39;: &#39;#CCCCCC&#39;},
# By omitting color, a random color is selected.
&#39;sar&#39;: {},
# fill area between senkou_a and senkou_b
&#39;senkou_a&#39;: {
&#39;color&#39;: &#39;green&#39;, #optional
&#39;fill_to&#39;: &#39;senkou_b&#39;,
&#39;fill_label&#39;: &#39;Ichimoku Cloud&#39;, #optional
&#39;fill_color&#39;: &#39;rgba(255,76,46,0.2)&#39;, #optional
},
# plot senkou_b, too. Not only the area to it.
&#39;senkou_b&#39;: {}
}
plot_config[&#39;subplots&#39;] = {
# Create subplot MACD
&quot;MACD&quot;: {
&#39;macd&#39;: {&#39;color&#39;: &#39;blue&#39;, &#39;fill_to&#39;: &#39;macdhist&#39;},
&#39;macdsignal&#39;: {&#39;color&#39;: &#39;orange&#39;},
&#39;macdhist&#39;: {&#39;type&#39;: &#39;bar&#39;, &#39;plotly&#39;: {&#39;opacity&#39;: 0.9}}
},
# Additional subplot RSI
&quot;RSI&quot;: {
&#39;rsi&#39;: {&#39;color&#39;: &#39;red&#39;}
}
}
return plot_config
</code></pre></div>
<p>```</p>
<details class="note">
<summary>As attribute (former method)</summary>
<p>Assigning plot_config is also possible as Attribute (this used to be the default way).
This has the disadvantage that strategy parameters are not available, preventing certain configurations from working.</p>
<p><code>`` python
plot_config = {
'main_plot': {
# Configuration for main plot indicators.
# Specifies</code>ema10<code>to be red, and</code>ema50` to be a shade of gray
'ema10': {'color': 'red'},
'ema50': {'color': '#CCCCCC'},
# By omitting color, a random color is selected.
'sar': {},
# fill area between senkou_a and senkou_b
'senkou_a': {
'color': 'green', #optional
'fill_to': 'senkou_b',
'fill_label': 'Ichimoku Cloud', #optional
'fill_color': 'rgba(255,76,46,0.2)', #optional
},
# plot senkou_b, too. Not only the area to it.
'senkou_b': {}
},
'subplots': {
# Create subplot MACD
"MACD": {
'macd': {'color': 'blue', 'fill_to': 'macdhist'},
'macdsignal': {'color': 'orange'},
'macdhist': {'type': 'bar', 'plotly': {'opacity': 0.9}}
},
# Additional subplot RSI
"RSI": {
'rsi': {'color': 'red'}
}
}
}</p>
<p>```</p>
</details>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>The above configuration assumes that <code>ema10</code>, <code>ema50</code>, <code>senkou_a</code>, <code>senkou_b</code>,
<code>macd</code>, <code>macdsignal</code>, <code>macdhist</code> and <code>rsi</code> are columns in the DataFrame created by the strategy.</p>
</div>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p><code>plotly</code> arguments are only supported with plotly library and will not work with freq-ui.</p>
</div>
<div class="admonition note">
<p class="admonition-title">Trade position adjustments</p>
<p>If <code>position_adjustment_enable</code> / <code>adjust_trade_position()</code> is used, the trade initial buy price is averaged over multiple orders and the trade start price will most likely appear outside the candle range.</p>
</div>
<h2 id="plot-profit">Plot profit<a class="headerlink" href="#plot-profit" title="Permanent link">&para;</a></h2>
<p><img alt="plot-profit" src="../assets/plot-profit.png" /></p>
<p>The <code>plot-profit</code> subcommand shows an interactive graph with three plots:</p>
<ul>
<li>Average closing price for all pairs.</li>
<li>The summarized profit made by backtesting.
Note that this is not the real-world profit, but more of an estimate.</li>
<li>Profit for each individual pair.</li>
<li>Parallelism of trades.</li>
<li>Underwater (Periods of drawdown).</li>
</ul>
<p>The first graph is good to get a grip of how the overall market progresses.</p>
<p>The second graph will show if your algorithm works or doesn't.
Perhaps you want an algorithm that steadily makes small profits, or one that acts less often, but makes big swings.
This graph will also highlight the start (and end) of the Max drawdown period.</p>
<p>The third graph can be useful to spot outliers, events in pairs that cause profit spikes.</p>
<p>The forth graph can help you analyze trade parallelism, showing how often max_open_trades have been maxed out.</p>
<p>Possible options for the <code>freqtrade plot-profit</code> subcommand:</p>
<p>``` output
usage: freqtrade plot-profit [-h] [-v] [--no-color] [--logfile FILE] [-V]
[-c PATH] [-d PATH] [--userdir PATH] [-s NAME]
[--strategy-path PATH]
[--recursive-strategy-search]
[--freqaimodel NAME] [--freqaimodel-path PATH]
[-p PAIRS [PAIRS ...]] [--timerange TIMERANGE]
[--export {none,trades,signals}]
[--backtest-filename PATH] [--db-url PATH]
[--trade-source {DB,file}] [-i TIMEFRAME]
[--auto-open]</p>
<p>options:
-h, --help show this help message and exit
-p, --pairs PAIRS [PAIRS ...]
Limit command to these pairs. Pairs are space-
separated.
--timerange TIMERANGE
Specify what timerange of data to use.
--export {none,trades,signals}
Export backtest results (default: trades).
--backtest-filename, --export-filename PATH
Use this filename for backtest results.Example:
<code>--backtest-
filename=backtest_results_2020-09-27_16-20-48.json</code>.
Assumes either <code>user_data/backtest_results/</code> or
<code>--export-directory</code> as base directory.
--db-url PATH Override trades database URL, this is useful in custom
deployments (default: <code>sqlite:///tradesv3.sqlite</code> for
Live Run mode, <code>sqlite:///tradesv3.dryrun.sqlite</code> for
Dry Run).
--trade-source {DB,file}
Specify the source for trades (Can be DB or file
(backtest file)) Default: file
-i, --timeframe TIMEFRAME
Specify timeframe (<code>1m</code>, <code>5m</code>, <code>30m</code>, <code>1h</code>, <code>1d</code>).
--auto-open Automatically open generated plot.</p>
<p>Common arguments:
-v, --verbose Verbose mode (-vv for more, -vvv to get all messages).
--no-color Disable colorization of hyperopt results. May be
useful if you are redirecting output to a file.
--logfile, --log-file FILE
Log to the file specified. Special values are:
'syslog', 'journald'. See the documentation for more
details.
-V, --version show program's version number and exit
-c, --config PATH Specify configuration file (default:
<code>userdir/config.json</code> or <code>config.json</code> whichever
exists). Multiple --config options may be used. Can be
set to <code>-</code> to read config from stdin.
-d, --datadir, --data-dir PATH
Path to the base directory of the exchange with
historical backtesting data. To see futures data, use
trading-mode additionally.
--userdir, --user-data-dir PATH
Path to userdata directory.</p>
<p>Strategy arguments:
-s, --strategy NAME Specify strategy class name which will be used by the
bot.
--strategy-path PATH Specify additional strategy lookup path.
--recursive-strategy-search
Recursively search for a strategy in the strategies
folder.
--freqaimodel NAME Specify a custom freqaimodels.
--freqaimodel-path PATH
Specify additional lookup path for freqaimodels.</p>
<p>```</p>
<p>The <code>-p/--pairs</code> argument, can be used to limit the pairs that are considered for this calculation.</p>
<p>Examples:</p>
<p>Use custom backtest-export file</p>
<p><code>bash
freqtrade plot-profit -p LTC/BTC --export-filename user_data/backtest_results/backtest-result.json</code></p>
<p>Use custom database</p>
<p><code>bash
freqtrade plot-profit -p LTC/BTC --db-url sqlite:///tradesv3.sqlite --trade-source DB</code></p>
<p><code>bash
freqtrade --datadir user_data/data/binance_save/ plot-profit -p LTC/BTC</code></p>
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