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1396 lines
38 KiB
HTML
1396 lines
38 KiB
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<link rel="canonical" href="https://www.freqtrade.io/2023.2/advanced-backtesting/">
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<title>Backtest analysis - Freqtrade</title>
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Freqtrade
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Backtest analysis
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<a href="https://github.com/freqtrade/freqtrade" title="Go to repository" class="md-source" data-md-component="source">
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GitHub
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</a>
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Freqtrade
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 6.3.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M439.55 236.05 244 40.45a28.87 28.87 0 0 0-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 0 1-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 0 0 0 40.81l195.61 195.6a28.86 28.86 0 0 0 40.8 0l194.69-194.69a28.86 28.86 0 0 0 0-40.81z"/></svg>
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GitHub
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Home
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<li class="md-nav__item">
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Quickstart with Docker
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</a>
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Installation
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<span class="md-nav__icon md-icon"></span>
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Installation
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<li class="md-nav__item">
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<a href="../installation/" class="md-nav__link">
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Linux/MacOS/Raspberry
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</a>
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</li>
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<a href="../windows_installation/" class="md-nav__link">
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Windows
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</a>
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</ul>
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</nav>
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<li class="md-nav__item">
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<a href="../bot-basics/" class="md-nav__link">
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Freqtrade Basics
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../configuration/" class="md-nav__link">
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Configuration
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../strategy-customization/" class="md-nav__link">
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Strategy Customization
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../strategy-callbacks/" class="md-nav__link">
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Strategy Callbacks
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../stoploss/" class="md-nav__link">
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Stoploss
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../plugins/" class="md-nav__link">
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Plugins
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../bot-usage/" class="md-nav__link">
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Start the bot
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</a>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_11" >
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<label class="md-nav__link" for="__nav_11" id="__nav_11_label" tabindex="0">
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Control the bot
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_11_label" aria-expanded="false">
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<label class="md-nav__title" for="__nav_11">
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<span class="md-nav__icon md-icon"></span>
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Control the bot
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../telegram-usage/" class="md-nav__link">
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Telegram
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../rest-api/" class="md-nav__link">
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REST API & FreqUI
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</a>
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</li>
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Analyze the buy/entry and sell/exit tags
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Using export-filename
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Tuning the buy tags and sell tags to display
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Filtering the trade output by date
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<article class="md-content__inner md-typeset">
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<h1 id="advanced-backtesting-analysis">Advanced Backtesting Analysis<a class="headerlink" href="#advanced-backtesting-analysis" title="Permanent link">¶</a></h1>
|
|
<h2 id="analyze-the-buyentry-and-sellexit-tags">Analyze the buy/entry and sell/exit tags<a class="headerlink" href="#analyze-the-buyentry-and-sellexit-tags" title="Permanent link">¶</a></h2>
|
|
<p>It can be helpful to understand how a strategy behaves according to the buy/entry tags used to
|
|
mark up different buy conditions. You might want to see more complex statistics about each buy and
|
|
sell condition above those provided by the default backtesting output. You may also want to
|
|
determine indicator values on the signal candle that resulted in a trade opening.</p>
|
|
<div class="admonition note">
|
|
<p class="admonition-title">Note</p>
|
|
<p>The following buy reason analysis is only available for backtesting, <em>not hyperopt</em>.</p>
|
|
</div>
|
|
<p>We need to run backtesting with the <code>--export</code> option set to <code>signals</code> to enable the exporting of
|
|
signals <strong>and</strong> trades:</p>
|
|
<div class="highlight"><pre><span></span><code>freqtrade<span class="w"> </span>backtesting<span class="w"> </span>-c<span class="w"> </span><config.json><span class="w"> </span>--timeframe<span class="w"> </span><tf><span class="w"> </span>--strategy<span class="w"> </span><strategy_name><span class="w"> </span>--timerange<span class="o">=</span><timerange><span class="w"> </span>--export<span class="o">=</span>signals
|
|
</code></pre></div>
|
|
<p>This will tell freqtrade to output a pickled dictionary of strategy, pairs and corresponding
|
|
DataFrame of the candles that resulted in buy signals. Depending on how many buys your strategy
|
|
makes, this file may get quite large, so periodically check your <code>user_data/backtest_results</code>
|
|
folder to delete old exports.</p>
|
|
<p>Before running your next backtest, make sure you either delete your old backtest results or run
|
|
backtesting with the <code>--cache none</code> option to make sure no cached results are used.</p>
|
|
<p>If all goes well, you should now see a <code>backtest-result-{timestamp}_signals.pkl</code> file in the
|
|
<code>user_data/backtest_results</code> folder.</p>
|
|
<p>To analyze the entry/exit tags, we now need to use the <code>freqtrade backtesting-analysis</code> command
|
|
with <code>--analysis-groups</code> option provided with space-separated arguments (default <code>0 1 2</code>):</p>
|
|
<div class="highlight"><pre><span></span><code>freqtrade<span class="w"> </span>backtesting-analysis<span class="w"> </span>-c<span class="w"> </span><config.json><span class="w"> </span>--analysis-groups<span class="w"> </span><span class="m">0</span><span class="w"> </span><span class="m">1</span><span class="w"> </span><span class="m">2</span><span class="w"> </span><span class="m">3</span><span class="w"> </span><span class="m">4</span><span class="w"> </span><span class="m">5</span>
|
|
</code></pre></div>
|
|
<p>This command will read from the last backtesting results. The <code>--analysis-groups</code> option is
|
|
used to specify the various tabular outputs showing the profit fo each group or trade,
|
|
ranging from the simplest (0) to the most detailed per pair, per buy and per sell tag (4):</p>
|
|
<ul>
|
|
<li>1: profit summaries grouped by enter_tag</li>
|
|
<li>2: profit summaries grouped by enter_tag and exit_tag</li>
|
|
<li>3: profit summaries grouped by pair and enter_tag</li>
|
|
<li>4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)</li>
|
|
<li>5: profit summaries grouped by exit_tag</li>
|
|
</ul>
|
|
<p>More options are available by running with the <code>-h</code> option.</p>
|
|
<h3 id="using-export-filename">Using export-filename<a class="headerlink" href="#using-export-filename" title="Permanent link">¶</a></h3>
|
|
<p>Normally, <code>backtesting-analysis</code> uses the latest backtest results, but if you wanted to go
|
|
back to a previous backtest output, you need to supply the <code>--export-filename</code> option.
|
|
You can supply the same parameter to <code>backtest-analysis</code> with the name of the final backtest
|
|
output file. This allows you to keep historical versions of backtest results and re-analyse
|
|
them at a later date:</p>
|
|
<div class="highlight"><pre><span></span><code>freqtrade<span class="w"> </span>backtesting<span class="w"> </span>-c<span class="w"> </span><config.json><span class="w"> </span>--timeframe<span class="w"> </span><tf><span class="w"> </span>--strategy<span class="w"> </span><strategy_name><span class="w"> </span>--timerange<span class="o">=</span><timerange><span class="w"> </span>--export<span class="o">=</span>signals<span class="w"> </span>--export-filename<span class="o">=</span>/tmp/mystrat_backtest.json
|
|
</code></pre></div>
|
|
<p>You should see some output similar to below in the logs with the name of the timestamped
|
|
filename that was exported:</p>
|
|
<div class="highlight"><pre><span></span><code>2022-06-14 16:28:32,698 - freqtrade.misc - INFO - dumping json to "/tmp/mystrat_backtest-2022-06-14_16-28-32.json"
|
|
</code></pre></div>
|
|
<p>You can then use that filename in <code>backtesting-analysis</code>:</p>
|
|
<div class="highlight"><pre><span></span><code>freqtrade backtesting-analysis -c <config.json> --export-filename=/tmp/mystrat_backtest-2022-06-14_16-28-32.json
|
|
</code></pre></div>
|
|
<h3 id="tuning-the-buy-tags-and-sell-tags-to-display">Tuning the buy tags and sell tags to display<a class="headerlink" href="#tuning-the-buy-tags-and-sell-tags-to-display" title="Permanent link">¶</a></h3>
|
|
<p>To show only certain buy and sell tags in the displayed output, use the following two options:</p>
|
|
<div class="highlight"><pre><span></span><code>--enter-reason-list : Space-separated list of enter signals to analyse. Default: "all"
|
|
--exit-reason-list : Space-separated list of exit signals to analyse. Default: "all"
|
|
</code></pre></div>
|
|
<p>For example:</p>
|
|
<div class="highlight"><pre><span></span><code>freqtrade<span class="w"> </span>backtesting-analysis<span class="w"> </span>-c<span class="w"> </span><config.json><span class="w"> </span>--analysis-groups<span class="w"> </span><span class="m">0</span><span class="w"> </span><span class="m">2</span><span class="w"> </span>--enter-reason-list<span class="w"> </span>enter_tag_a<span class="w"> </span>enter_tag_b<span class="w"> </span>--exit-reason-list<span class="w"> </span>roi<span class="w"> </span>custom_exit_tag_a<span class="w"> </span>stop_loss
|
|
</code></pre></div>
|
|
<h3 id="outputting-signal-candle-indicators">Outputting signal candle indicators<a class="headerlink" href="#outputting-signal-candle-indicators" title="Permanent link">¶</a></h3>
|
|
<p>The real power of <code>freqtrade backtesting-analysis</code> comes from the ability to print out the indicator
|
|
values present on signal candles to allow fine-grained investigation and tuning of buy signal
|
|
indicators. To print out a column for a given set of indicators, use the <code>--indicator-list</code>
|
|
option:</p>
|
|
<div class="highlight"><pre><span></span><code>freqtrade<span class="w"> </span>backtesting-analysis<span class="w"> </span>-c<span class="w"> </span><config.json><span class="w"> </span>--analysis-groups<span class="w"> </span><span class="m">0</span><span class="w"> </span><span class="m">2</span><span class="w"> </span>--enter-reason-list<span class="w"> </span>enter_tag_a<span class="w"> </span>enter_tag_b<span class="w"> </span>--exit-reason-list<span class="w"> </span>roi<span class="w"> </span>custom_exit_tag_a<span class="w"> </span>stop_loss<span class="w"> </span>--indicator-list<span class="w"> </span>rsi<span class="w"> </span>rsi_1h<span class="w"> </span>bb_lowerband<span class="w"> </span>ema_9<span class="w"> </span>macd<span class="w"> </span>macdsignal
|
|
</code></pre></div>
|
|
<p>The indicators have to be present in your strategy's main DataFrame (either for your main
|
|
timeframe or for informative timeframes) otherwise they will simply be ignored in the script
|
|
output.</p>
|
|
<h3 id="filtering-the-trade-output-by-date">Filtering the trade output by date<a class="headerlink" href="#filtering-the-trade-output-by-date" title="Permanent link">¶</a></h3>
|
|
<p>To show only trades between dates within your backtested timerange, supply the usual <code>timerange</code> option in <code>YYYYMMDD-[YYYYMMDD]</code> format:</p>
|
|
<div class="highlight"><pre><span></span><code>--timerange : Timerange to filter output trades, start date inclusive, end date exclusive. e.g. 20220101-20221231
|
|
</code></pre></div>
|
|
<p>For example, if your backtest timerange was <code>20220101-20221231</code> but you only want to output trades in January:</p>
|
|
<div class="highlight"><pre><span></span><code>freqtrade<span class="w"> </span>backtesting-analysis<span class="w"> </span>-c<span class="w"> </span><config.json><span class="w"> </span>--timerange<span class="w"> </span><span class="m">20220101</span>-20220201
|
|
</code></pre></div>
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