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2025-12-02 01:53:05 +00:00 · 2025-01-05 18:36:19 +00:00
parent 2e05c6af0a
commit ec4f22a758
24 changed files with 351 additions and 351 deletions
--- a/en/develop/strategy-customization/index.html
+++ b/en/develop/strategy-customization/index.html
@@ -2722,7 +2722,7 @@ delay as possible, usually by running a low number of pairs and having a CPU wit
 <p>You should only add the indicators used in either <code>populate_entry_trend()</code>, <code>populate_exit_trend()</code>, or to populate another indicator, otherwise performance may suffer.</p>
 <p>It's important to always return the dataframe from these three functions without removing/modifying the columns <code>"open", "high", "low", "close", "volume"</code>, otherwise these fields would contain something unexpected.</p>
 <p>Sample:</p>
-<div class="highlight"><pre><span></span><code><span class="k">def</span> <span class="nf">populate_indicators</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">populate_indicators</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Adds several different TA indicators to the given DataFrame</span>

@@ -2812,7 +2812,7 @@ This is capped to 5 total calls to avoid overloading the exchange, or make freqt
 <p>This method will also define a new column, <code>"enter_long"</code> (<code>"enter_short"</code> for shorts), which needs to contain <code>1</code> for entries, and <code>0</code> for "no action". <code>enter_long</code> is a mandatory column that must be set even if the strategy is shorting only.</p>
 <p>You can name your entry signals by using the <code>"enter_tag"</code> column, which can help debug and assess your strategy later. </p>
 <p>Sample from <code>user_data/strategies/sample_strategy.py</code>:</p>
-<div class="highlight"><pre><span></span><code><span class="k">def</span> <span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Based on TA indicators, populates the buy signal for the given dataframe</span>
 <span class="sd">    :param dataframe: DataFrame populated with indicators</span>
@@ -2839,7 +2839,7 @@ Also, make sure you set <a href="#can-short"><code>can_short</code></a> appropri
 <div class="highlight"><pre><span></span><code><span class="c1"># allow both long and short trades</span>
 <span class="n">can_short</span> <span class="o">=</span> <span class="kc">True</span>

-<span class="k">def</span> <span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
    <span class="n">dataframe</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
        <span class="p">(</span>
            <span class="p">(</span><span class="n">qtpylib</span><span class="o">.</span><span class="n">crossed_above</span><span class="p">(</span><span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;rsi&#39;</span><span class="p">],</span> <span class="mi">30</span><span class="p">))</span> <span class="o">&amp;</span>  <span class="c1"># Signal: RSI crosses above 30</span>
@@ -2873,7 +2873,7 @@ Also, make sure you set <a href="#can-short"><code>can_short</code></a> appropri
 <p>This method will also define a new column, <code>"exit_long"</code> (<code>"exit_short"</code> for shorts), which needs to contain <code>1</code> for exits, and <code>0</code> for "no action".</p>
 <p>You can name your exit signals by using the <code>"exit_tag"</code> column, which can help debug and assess your strategy later.</p>
 <p>Sample from <code>user_data/strategies/sample_strategy.py</code>:</p>
-<div class="highlight"><pre><span></span><code><span class="k">def</span> <span class="nf">populate_exit_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">populate_exit_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Based on TA indicators, populates the exit signal for the given dataframe</span>
 <span class="sd">    :param dataframe: DataFrame populated with indicators</span>
@@ -2899,7 +2899,7 @@ Also, make sure you set <a href="#can-short"><code>can_short</code></a> appropri
 <div class="highlight"><pre><span></span><code><span class="c1"># allow both long and short trades</span>
 <span class="n">can_short</span> <span class="o">=</span> <span class="kc">True</span>

-<span class="k">def</span> <span class="nf">populate_exit_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">populate_exit_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
    <span class="n">dataframe</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
        <span class="p">(</span>
            <span class="p">(</span><span class="n">qtpylib</span><span class="o">.</span><span class="n">crossed_above</span><span class="p">(</span><span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;rsi&#39;</span><span class="p">],</span> <span class="mi">70</span><span class="p">))</span> <span class="o">&amp;</span>  <span class="c1"># Signal: RSI crosses above 70</span>
@@ -2944,9 +2944,9 @@ Also, make sure you set <a href="#can-short"><code>can_short</code></a> appropri
 <h4 id="using-calculations-in-minimal-roi">Using calculations in minimal ROI<a class="headerlink" href="#using-calculations-in-minimal-roi" title="Permanent link">&para;</a></h4>
 <p>To use times based on candle duration (timeframe), the following snippet can be handy.</p>
 <p>This will allow you to change the timeframe for the strategy, but the minimal ROI times will still be set as candles, e.g. after 3 candles.</p>
-<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.exchange</span> <span class="kn">import</span> <span class="n">timeframe_to_minutes</span>
+<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">freqtrade.exchange</span><span class="w"> </span><span class="kn">import</span> <span class="n">timeframe_to_minutes</span>

-<span class="k">class</span> <span class="nc">AwesomeStrategy</span><span class="p">(</span><span class="n">IStrategy</span><span class="p">):</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">AwesomeStrategy</span><span class="p">(</span><span class="n">IStrategy</span><span class="p">):</span>

    <span class="n">timeframe</span> <span class="o">=</span> <span class="s2">&quot;1d&quot;</span>
    <span class="n">timeframe_mins</span> <span class="o">=</span> <span class="n">timeframe_to_minutes</span><span class="p">(</span><span class="n">timeframe</span><span class="p">)</span>
@@ -2990,13 +2990,13 @@ Obviously you can add more imports as needed for your strategy.</p>
 <div class="highlight"><pre><span></span><code><span class="c1"># flake8: noqa: F401</span>
 <span class="c1"># isort: skip_file</span>
 <span class="c1"># --- Do not remove these imports ---</span>
-<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
-<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
-<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timedelta</span><span class="p">,</span> <span class="n">timezone</span>
-<span class="kn">from</span> <span class="nn">pandas</span> <span class="kn">import</span> <span class="n">DataFrame</span>
-<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">Tuple</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timedelta</span><span class="p">,</span> <span class="n">timezone</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="kn">import</span> <span class="n">DataFrame</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">typing</span><span class="w"> </span><span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">Tuple</span>

-<span class="kn">from</span> <span class="nn">freqtrade.strategy</span> <span class="kn">import</span> <span class="p">(</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">freqtrade.strategy</span><span class="w"> </span><span class="kn">import</span> <span class="p">(</span>
    <span class="n">IStrategy</span><span class="p">,</span>
    <span class="n">Trade</span><span class="p">,</span> 
    <span class="n">Order</span><span class="p">,</span>
@@ -3020,8 +3020,8 @@ Obviously you can add more imports as needed for your strategy.</p>

 <span class="c1"># --------------------------------</span>
 <span class="c1"># Add your lib to import here</span>
-<span class="kn">import</span> <span class="nn">talib.abstract</span> <span class="k">as</span> <span class="nn">ta</span>
-<span class="kn">from</span> <span class="nn">technical</span> <span class="kn">import</span> <span class="n">qtpylib</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">talib.abstract</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">ta</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">technical</span><span class="w"> </span><span class="kn">import</span> <span class="n">qtpylib</span>
 </code></pre></div>
 <h2 id="strategy-file-loading">Strategy file loading<a class="headerlink" href="#strategy-file-loading" title="Permanent link">&para;</a></h2>
 <p>By default, freqtrade will attempt to load strategies from all <code>.py</code> files within the <code>userdir</code> (default <code>user_data/strategies</code>).</p>
@@ -3042,7 +3042,7 @@ It will also include a "status" field, highlighting potential problems.</p>
 <p>These pairs will <strong>not</strong> be traded unless they are also specified in the pair whitelist, or have been selected by Dynamic Whitelisting, e.g. <code>VolumePairlist</code>.</p>
 <p>The pairs need to be specified as tuples in the format <code>("pair", "timeframe")</code>, with pair as the first and timeframe as the second argument.</p>
 <p>Sample:</p>
-<div class="highlight"><pre><span></span><code><span class="k">def</span> <span class="nf">informative_pairs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">informative_pairs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
    <span class="k">return</span> <span class="p">[(</span><span class="s2">&quot;ETH/USDT&quot;</span><span class="p">,</span> <span class="s2">&quot;5m&quot;</span><span class="p">),</span>
            <span class="p">(</span><span class="s2">&quot;BTC/TUSD&quot;</span><span class="p">,</span> <span class="s2">&quot;15m&quot;</span><span class="p">),</span>
            <span class="p">]</span>
@@ -3061,7 +3061,7 @@ to avoid hammering the exchange with too many requests and risk being blocked.</
 Availability of alternative candle-types will depend on the trading-mode and the exchange. 
 In general, spot pairs cannot be used in futures markets, and futures candles can't be used as informative pairs for spot bots.
 Details about this may vary, if they do, this can be found in the exchange documentation.</p>
-<div class="highlight"><pre><span></span><code><span class="k">def</span> <span class="nf">informative_pairs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">informative_pairs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
    <span class="k">return</span> <span class="p">[</span>
        <span class="p">(</span><span class="s2">&quot;ETH/USDT&quot;</span><span class="p">,</span> <span class="s2">&quot;5m&quot;</span><span class="p">,</span> <span class="s2">&quot;&quot;</span><span class="p">),</span>   <span class="c1"># Uses default candletype, depends on trading_mode (recommended)</span>
        <span class="p">(</span><span class="s2">&quot;ETH/USDT&quot;</span><span class="p">,</span> <span class="s2">&quot;5m&quot;</span><span class="p">,</span> <span class="s2">&quot;spot&quot;</span><span class="p">),</span>   <span class="c1"># Forces usage of spot candles (only valid for bots running on spot markets).</span>
@@ -3081,7 +3081,7 @@ and do not have access to data from other informative pairs. However, all inform
 <p>When hyperopting, use of the hyperoptable parameter <code>.value</code> attribute is not supported. Please use the <code>.range</code> attribute. See <a href="../hyperopt/#optimizing-an-indicator-parameter">optimizing an indicator parameter</a> for more information.</p>
 <details class="info">
 <summary>Full documentation</summary>
-<div class="highlight"><pre><span></span><code><span class="k">def</span> <span class="nf">informative</span><span class="p">(</span>
+<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">informative</span><span class="p">(</span>
    <span class="n">timeframe</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
    <span class="n">asset</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span><span class="p">,</span>
    <span class="n">fmt</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="n">Callable</span><span class="p">[[</span><span class="n">Any</span><span class="p">],</span> <span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
@@ -3124,11 +3124,11 @@ and do not have access to data from other informative pairs. However, all inform
 <details class="example">
 <summary>Fast and easy way to define informative pairs</summary>
 <p>Most of the time we do not need power and flexibility offered by <code>merge_informative_pair()</code>, therefore we can use a decorator to quickly define informative pairs.</p>
-<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span>
-<span class="kn">from</span> <span class="nn">freqtrade.persistence</span> <span class="kn">import</span> <span class="n">Trade</span>
-<span class="kn">from</span> <span class="nn">freqtrade.strategy</span> <span class="kn">import</span> <span class="n">IStrategy</span><span class="p">,</span> <span class="n">informative</span>
+<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">freqtrade.persistence</span><span class="w"> </span><span class="kn">import</span> <span class="n">Trade</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">freqtrade.strategy</span><span class="w"> </span><span class="kn">import</span> <span class="n">IStrategy</span><span class="p">,</span> <span class="n">informative</span>

-<span class="k">class</span> <span class="nc">AwesomeStrategy</span><span class="p">(</span><span class="n">IStrategy</span><span class="p">):</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">AwesomeStrategy</span><span class="p">(</span><span class="n">IStrategy</span><span class="p">):</span>

    <span class="c1"># This method is not required. </span>
    <span class="c1"># def informative_pairs(self): ...</span>
@@ -3137,7 +3137,7 @@ and do not have access to data from other informative pairs. However, all inform
    <span class="c1"># method. Available in populate_indicators as &#39;rsi_30m&#39; and &#39;rsi_1h&#39;.</span>
    <span class="nd">@informative</span><span class="p">(</span><span class="s1">&#39;30m&#39;</span><span class="p">)</span>
    <span class="nd">@informative</span><span class="p">(</span><span class="s1">&#39;1h&#39;</span><span class="p">)</span>
-    <span class="k">def</span> <span class="nf">populate_indicators_1h</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">populate_indicators_1h</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
        <span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;rsi&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">ta</span><span class="o">.</span><span class="n">RSI</span><span class="p">(</span><span class="n">dataframe</span><span class="p">,</span> <span class="n">timeperiod</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">dataframe</span>

@@ -3146,14 +3146,14 @@ and do not have access to data from other informative pairs. However, all inform
    <span class="c1"># instead of hard-coding actual stake currency. Available in populate_indicators and other </span>
    <span class="c1"># methods as &#39;btc_usdt_rsi_1h&#39; (when stake currency is USDT).</span>
    <span class="nd">@informative</span><span class="p">(</span><span class="s1">&#39;1h&#39;</span><span class="p">,</span> <span class="s1">&#39;BTC/</span><span class="si">{stake}</span><span class="s1">&#39;</span><span class="p">)</span>
-    <span class="k">def</span> <span class="nf">populate_indicators_btc_1h</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">populate_indicators_btc_1h</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
        <span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;rsi&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">ta</span><span class="o">.</span><span class="n">RSI</span><span class="p">(</span><span class="n">dataframe</span><span class="p">,</span> <span class="n">timeperiod</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">dataframe</span>

    <span class="c1"># Define BTC/ETH informative pair. You must specify quote currency if it is different from</span>
    <span class="c1"># stake currency. Available in populate_indicators and other methods as &#39;eth_btc_rsi_1h&#39;.</span>
    <span class="nd">@informative</span><span class="p">(</span><span class="s1">&#39;1h&#39;</span><span class="p">,</span> <span class="s1">&#39;ETH/BTC&#39;</span><span class="p">)</span>
-    <span class="k">def</span> <span class="nf">populate_indicators_eth_btc_1h</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">populate_indicators_eth_btc_1h</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
        <span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;rsi&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">ta</span><span class="o">.</span><span class="n">RSI</span><span class="p">(</span><span class="n">dataframe</span><span class="p">,</span> <span class="n">timeperiod</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">dataframe</span>

@@ -3161,11 +3161,11 @@ and do not have access to data from other informative pairs. However, all inform
    <span class="c1"># column names. A callable `fmt(**kwargs) -&gt; str` may be specified, to implement custom</span>
    <span class="c1"># formatting. Available in populate_indicators and other methods as &#39;rsi_upper_1h&#39;.</span>
    <span class="nd">@informative</span><span class="p">(</span><span class="s1">&#39;1h&#39;</span><span class="p">,</span> <span class="s1">&#39;BTC/</span><span class="si">{stake}</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;</span><span class="si">{column}</span><span class="s1">_</span><span class="si">{timeframe}</span><span class="s1">&#39;</span><span class="p">)</span>
-    <span class="k">def</span> <span class="nf">populate_indicators_btc_1h_2</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">populate_indicators_btc_1h_2</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
        <span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;rsi_upper&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">ta</span><span class="o">.</span><span class="n">RSI</span><span class="p">(</span><span class="n">dataframe</span><span class="p">,</span> <span class="n">timeperiod</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">dataframe</span>

-    <span class="k">def</span> <span class="nf">populate_indicators</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">populate_indicators</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
        <span class="c1"># Strategy timeframe indicators for current pair.</span>
        <span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;rsi&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">ta</span><span class="o">.</span><span class="n">RSI</span><span class="p">(</span><span class="n">dataframe</span><span class="p">,</span> <span class="n">timeperiod</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
        <span class="c1"># Informative pairs are available in this method.</span>
@@ -3176,7 +3176,7 @@ and do not have access to data from other informative pairs. However, all inform
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>Use string formatting when accessing informative dataframes of other pairs. This will allow easily changing stake currency in config without having to adjust strategy code.</p>
-<div class="highlight"><pre><span></span><code><span class="k">def</span> <span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
    <span class="n">stake</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s1">&#39;stake_currency&#39;</span><span class="p">]</span>
    <span class="n">dataframe</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
        <span class="p">(</span>
@@ -3280,7 +3280,7 @@ It is also not available in <code>populate_entry_trend()</code> and <code>popula
 <p>Due to the limited available data, it's very difficult to resample <code>5m</code> candles into daily candles for use in a 14 day RSI. Most exchanges limit users to just 500-1000 candles which effectively gives us around 1.74 daily candles. We need 14 days at least!</p>
 <p>Since we can't resample the data we will have to use an informative pair, and since the whitelist will be dynamic we don't know which pair(s) to use! We have a problem!</p>
 <p>This is where calling <code>self.dp.current_whitelist()</code> comes in handy to retrieve only those pairs in the whitelist.</p>
-<div class="highlight"><pre><span></span><code>    <span class="k">def</span> <span class="nf">informative_pairs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<div class="highlight"><pre><span></span><code>    <span class="k">def</span><span class="w"> </span><span class="nf">informative_pairs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>

        <span class="c1"># get access to all pairs available in whitelist.</span>
        <span class="n">pairs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dp</span><span class="o">.</span><span class="n">current_whitelist</span><span class="p">()</span>
@@ -3376,17 +3376,17 @@ Identical notifications will only be sent once per candle, unless the 2<sup>nd</
 <p>You can spam yourself pretty good by setting <code>always_send=True</code> in this method. Use this with great care and only in conditions you know will not happen throughout a candle to avoid a message every 5 seconds.</p>
 </div>
 <h3 id="complete-dataprovider-sample">Complete DataProvider sample<a class="headerlink" href="#complete-dataprovider-sample" title="Permanent link">&para;</a></h3>
-<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.strategy</span> <span class="kn">import</span> <span class="n">IStrategy</span><span class="p">,</span> <span class="n">merge_informative_pair</span>
-<span class="kn">from</span> <span class="nn">pandas</span> <span class="kn">import</span> <span class="n">DataFrame</span>
+<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">freqtrade.strategy</span><span class="w"> </span><span class="kn">import</span> <span class="n">IStrategy</span><span class="p">,</span> <span class="n">merge_informative_pair</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="kn">import</span> <span class="n">DataFrame</span>

-<span class="k">class</span> <span class="nc">SampleStrategy</span><span class="p">(</span><span class="n">IStrategy</span><span class="p">):</span>
+<span class="k">class</span><span class="w"> </span><span class="nc">SampleStrategy</span><span class="p">(</span><span class="n">IStrategy</span><span class="p">):</span>
    <span class="c1"># strategy init stuff...</span>

    <span class="n">timeframe</span> <span class="o">=</span> <span class="s1">&#39;5m&#39;</span>

    <span class="c1"># more strategy init stuff..</span>

-    <span class="k">def</span> <span class="nf">informative_pairs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">informative_pairs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>

        <span class="c1"># get access to all pairs available in whitelist.</span>
        <span class="n">pairs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dp</span><span class="o">.</span><span class="n">current_whitelist</span><span class="p">()</span>
@@ -3398,7 +3398,7 @@ Identical notifications will only be sent once per candle, unless the 2<sup>nd</
                            <span class="p">]</span>
        <span class="k">return</span> <span class="n">informative_pairs</span>

-    <span class="k">def</span> <span class="nf">populate_indicators</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">populate_indicators</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">dp</span><span class="p">:</span>
            <span class="c1"># Don&#39;t do anything if DataProvider is not available.</span>
            <span class="k">return</span> <span class="n">dataframe</span>
@@ -3424,7 +3424,7 @@ Identical notifications will only be sent once per candle, unless the 2<sup>nd</

        <span class="k">return</span> <span class="n">dataframe</span>

-    <span class="k">def</span> <span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>

        <span class="n">dataframe</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
            <span class="p">(</span>
@@ -3459,7 +3459,7 @@ Within <a href="../strategy-callbacks/">callbacks</a>, you'll get the wallet sta
 <h2 id="additional-data-trades">Additional data (Trades)<a class="headerlink" href="#additional-data-trades" title="Permanent link">&para;</a></h2>
 <p>A history of trades can be retrieved in the strategy by querying the database.</p>
 <p>At the top of the file, import the required object:</p>
-<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.persistence</span> <span class="kn">import</span> <span class="n">Trade</span>
+<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">freqtrade.persistence</span><span class="w"> </span><span class="kn">import</span> <span class="n">Trade</span>
 </code></pre></div>
 <p>The following example queries trades from today for the current pair (<code>metadata['pair']</code>). Other filters can easily be added.</p>
 <div class="highlight"><pre><span></span><code><span class="n">trades</span> <span class="o">=</span> <span class="n">Trade</span><span class="o">.</span><span class="n">get_trades_proxy</span><span class="p">(</span><span class="n">pair</span><span class="o">=</span><span class="n">metadata</span><span class="p">[</span><span class="s1">&#39;pair&#39;</span><span class="p">],</span>
@@ -3494,8 +3494,8 @@ Within <a href="../strategy-callbacks/">callbacks</a>, you'll get the wallet sta
 <p>Manually locking pairs is not available during backtesting. Only locks via Protections are allowed.</p>
 </div>
 <h4 id="pair-locking-example">Pair locking example<a class="headerlink" href="#pair-locking-example" title="Permanent link">&para;</a></h4>
-<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.persistence</span> <span class="kn">import</span> <span class="n">Trade</span>
-<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">timedelta</span><span class="p">,</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timezone</span>
+<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">freqtrade.persistence</span><span class="w"> </span><span class="kn">import</span> <span class="n">Trade</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">timedelta</span><span class="p">,</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timezone</span>
 <span class="c1"># Put the above lines a the top of the strategy file, next to all the other imports</span>
 <span class="c1"># --------</span>

@@ -3514,7 +3514,7 @@ Within <a href="../strategy-callbacks/">callbacks</a>, you'll get the wallet sta
 <h2 id="print-the-main-dataframe">Print the main dataframe<a class="headerlink" href="#print-the-main-dataframe" title="Permanent link">&para;</a></h2>
 <p>To inspect the current main dataframe, you can issue a print-statement in either <code>populate_entry_trend()</code> or <code>populate_exit_trend()</code>.
 You may also want to print the pair so it's clear what data is currently shown.</p>
-<div class="highlight"><pre><span></span><code><span class="k">def</span> <span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
+<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">populate_entry_trend</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">:</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">metadata</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">DataFrame</span><span class="p">:</span>
    <span class="n">dataframe</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
        <span class="p">(</span>
            <span class="c1">#&gt;&gt; whatever condition&lt;&lt;&lt;</span>