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@@ -1792,24 +1754,28 @@ Please follow the <a href="https://www.freqtrade.io/en/stable/data-download/">do
<div class="highlight"><pre><span></span><code><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="c1"># Change directory</span>
<span class="c1"># Modify this cell to insure that the output shows the correct path.</span>
<span class="c1"># Define all paths relative to the project root shown in the cell output</span>
<span class="n">project_root</span> <span class="o">=</span> <span class="s2">&quot;somedir/freqtrade&quot;</span>
<span class="n">i</span><span class="o">=</span><span class="mi">0</span>
<span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">os</span><span class="o">.</span><span class="n">chdir</span><span class="p">(</span><span class="n">project_root</span><span class="p">)</span>
<span class="k">assert</span> <span class="n">Path</span><span class="p">(</span><span class="s1">&#39;LICENSE&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">is_file</span><span class="p">()</span>
<span class="k">except</span><span class="p">:</span>
<span class="k">while</span> <span class="n">i</span><span class="o">&lt;</span><span class="mi">4</span> <span class="ow">and</span> <span class="p">(</span><span class="ow">not</span> <span class="n">Path</span><span class="p">(</span><span class="s1">&#39;LICENSE&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">is_file</span><span class="p">()):</span>
<span class="n">os</span><span class="o">.</span><span class="n">chdir</span><span class="p">(</span><span class="n">Path</span><span class="p">(</span><span class="n">Path</span><span class="o">.</span><span class="n">cwd</span><span class="p">(),</span> <span class="s1">&#39;../&#39;</span><span class="p">))</span>
<span class="n">i</span><span class="o">+=</span><span class="mi">1</span>
<span class="n">project_root</span> <span class="o">=</span> <span class="n">Path</span><span class="o">.</span><span class="n">cwd</span><span class="p">()</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">Path</span><span class="p">(</span><span class="s2">&quot;LICENSE&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">is_file</span><span class="p">():</span>
<span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">while</span> <span class="n">i</span> <span class="o">&lt;</span> <span class="mi">4</span> <span class="ow">and</span> <span class="p">(</span><span class="ow">not</span> <span class="n">Path</span><span class="p">(</span><span class="s2">&quot;LICENSE&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">is_file</span><span class="p">()):</span>
<span class="n">os</span><span class="o">.</span><span class="n">chdir</span><span class="p">(</span><span class="n">Path</span><span class="p">(</span><span class="n">Path</span><span class="o">.</span><span class="n">cwd</span><span class="p">(),</span> <span class="s2">&quot;../&quot;</span><span class="p">))</span>
<span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
<span class="n">project_root</span> <span class="o">=</span> <span class="n">Path</span><span class="o">.</span><span class="n">cwd</span><span class="p">()</span>
<span class="k">except</span> <span class="ne">FileNotFoundError</span><span class="p">:</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Please define the project root relative to the current directory&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">Path</span><span class="o">.</span><span class="n">cwd</span><span class="p">())</span>
</code></pre></div>
<h3 id="configure-freqtrade-environment">Configure Freqtrade environment<a class="headerlink" href="#configure-freqtrade-environment" title="Permanent link">&para;</a></h3>
<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.configuration</span> <span class="kn">import</span> <span class="n">Configuration</span>
<span class="c1"># Customize these according to your needs.</span>
<span class="c1"># Initialize empty configuration object</span>
@@ -1830,12 +1796,14 @@ Please follow the <a href="https://www.freqtrade.io/en/stable/data-download/">do
<span class="kn">from</span> <span class="nn">freqtrade.data.history</span> <span class="kn">import</span> <span class="n">load_pair_history</span>
<span class="kn">from</span> <span class="nn">freqtrade.enums</span> <span class="kn">import</span> <span class="n">CandleType</span>
<span class="n">candles</span> <span class="o">=</span> <span class="n">load_pair_history</span><span class="p">(</span><span class="n">datadir</span><span class="o">=</span><span class="n">data_location</span><span class="p">,</span>
<span class="n">timeframe</span><span class="o">=</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;timeframe&quot;</span><span class="p">],</span>
<span class="n">pair</span><span class="o">=</span><span class="n">pair</span><span class="p">,</span>
<span class="n">data_format</span> <span class="o">=</span> <span class="s2">&quot;json&quot;</span><span class="p">,</span> <span class="c1"># Make sure to update this to your data</span>
<span class="n">candle_type</span><span class="o">=</span><span class="n">CandleType</span><span class="o">.</span><span class="n">SPOT</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">candles</span> <span class="o">=</span> <span class="n">load_pair_history</span><span class="p">(</span>
<span class="n">datadir</span><span class="o">=</span><span class="n">data_location</span><span class="p">,</span>
<span class="n">timeframe</span><span class="o">=</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;timeframe&quot;</span><span class="p">],</span>
<span class="n">pair</span><span class="o">=</span><span class="n">pair</span><span class="p">,</span>
<span class="n">data_format</span><span class="o">=</span><span class="s2">&quot;json&quot;</span><span class="p">,</span> <span class="c1"># Make sure to update this to your data</span>
<span class="n">candle_type</span><span class="o">=</span><span class="n">CandleType</span><span class="o">.</span><span class="n">SPOT</span><span class="p">,</span>
<span class="p">)</span>
<span class="c1"># Confirm success</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Loaded </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">candles</span><span class="p">)</span><span class="si">}</span><span class="s2"> rows of data for </span><span class="si">{</span><span class="n">pair</span><span class="si">}</span><span class="s2"> from </span><span class="si">{</span><span class="n">data_location</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
@@ -1846,14 +1814,16 @@ Please follow the <a href="https://www.freqtrade.io/en/stable/data-download/">do
<li>Rerun each time the strategy file is changed</li>
</ul>
<div class="highlight"><pre><span></span><code><span class="c1"># Load strategy using values set above</span>
<span class="kn">from</span> <span class="nn">freqtrade.resolvers</span> <span class="kn">import</span> <span class="n">StrategyResolver</span>
<span class="kn">from</span> <span class="nn">freqtrade.data.dataprovider</span> <span class="kn">import</span> <span class="n">DataProvider</span>
<span class="kn">from</span> <span class="nn">freqtrade.resolvers</span> <span class="kn">import</span> <span class="n">StrategyResolver</span>
<span class="n">strategy</span> <span class="o">=</span> <span class="n">StrategyResolver</span><span class="o">.</span><span class="n">load_strategy</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
<span class="n">strategy</span><span class="o">.</span><span class="n">dp</span> <span class="o">=</span> <span class="n">DataProvider</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
<span class="n">strategy</span><span class="o">.</span><span class="n">ft_bot_start</span><span class="p">()</span>
<span class="c1"># Generate buy/sell signals using strategy</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">strategy</span><span class="o">.</span><span class="n">analyze_ticker</span><span class="p">(</span><span class="n">candles</span><span class="p">,</span> <span class="p">{</span><span class="s1">&#39;pair&#39;</span><span class="p">:</span> <span class="n">pair</span><span class="p">})</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">strategy</span><span class="o">.</span><span class="n">analyze_ticker</span><span class="p">(</span><span class="n">candles</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;pair&quot;</span><span class="p">:</span> <span class="n">pair</span><span class="p">})</span>
<span class="n">df</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span>
</code></pre></div>
<h3 id="display-the-trade-details">Display the trade details<a class="headerlink" href="#display-the-trade-details" title="Permanent link">&para;</a></h3>
@@ -1868,7 +1838,7 @@ Please follow the <a href="https://www.freqtrade.io/en/stable/data-download/">do
</ul>
<div class="highlight"><pre><span></span><code><span class="c1"># Report results</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Generated </span><span class="si">{</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;enter_long&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="si">}</span><span class="s2"> entry signals&quot;</span><span class="p">)</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">,</span> <span class="n">drop</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;date&quot;</span><span class="p">,</span> <span class="n">drop</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">data</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span>
</code></pre></div>
<h2 id="load-existing-objects-into-a-jupyter-notebook">Load existing objects into a Jupyter notebook<a class="headerlink" href="#load-existing-objects-into-a-jupyter-notebook" title="Permanent link">&para;</a></h2>
@@ -1878,32 +1848,36 @@ They will allow you to drill deeper into your results, and perform analysis whic
<p>Analyze a trades dataframe (also used below for plotting)</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.data.btanalysis</span> <span class="kn">import</span> <span class="n">load_backtest_data</span><span class="p">,</span> <span class="n">load_backtest_stats</span>
<span class="c1"># if backtest_dir points to a directory, it&#39;ll automatically load the last backtest file.</span>
<span class="n">backtest_dir</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s2">&quot;user_data_dir&quot;</span><span class="p">]</span> <span class="o">/</span> <span class="s2">&quot;backtest_results&quot;</span>
<span class="c1"># backtest_dir can also point to a specific file </span>
<span class="c1"># backtest_dir = config[&quot;user_data_dir&quot;] / &quot;backtest_results/backtest-result-2020-07-01_20-04-22.json&quot;</span>
<span class="c1"># backtest_dir can also point to a specific file</span>
<span class="c1"># backtest_dir = (</span>
<span class="c1"># config[&quot;user_data_dir&quot;] / &quot;backtest_results/backtest-result-2020-07-01_20-04-22.json&quot;</span>
<span class="c1"># )</span>
</code></pre></div>
<div class="highlight"><pre><span></span><code><span class="c1"># You can get the full backtest statistics by using the following command.</span>
<span class="c1"># This contains all information used to generate the backtest result.</span>
<span class="n">stats</span> <span class="o">=</span> <span class="n">load_backtest_stats</span><span class="p">(</span><span class="n">backtest_dir</span><span class="p">)</span>
<span class="n">strategy</span> <span class="o">=</span> <span class="s1">&#39;SampleStrategy&#39;</span>
<span class="c1"># All statistics are available per strategy, so if `--strategy-list` was used during backtest, this will be reflected here as well.</span>
<span class="n">strategy</span> <span class="o">=</span> <span class="s2">&quot;SampleStrategy&quot;</span>
<span class="c1"># All statistics are available per strategy, so if `--strategy-list` was used during backtest,</span>
<span class="c1"># this will be reflected here as well.</span>
<span class="c1"># Example usages:</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s1">&#39;strategy&#39;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s1">&#39;results_per_pair&#39;</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s2">&quot;strategy&quot;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s2">&quot;results_per_pair&quot;</span><span class="p">])</span>
<span class="c1"># Get pairlist used for this backtest</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s1">&#39;strategy&#39;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s1">&#39;pairlist&#39;</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s2">&quot;strategy&quot;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s2">&quot;pairlist&quot;</span><span class="p">])</span>
<span class="c1"># Get market change (average change of all pairs from start to end of the backtest period)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s1">&#39;strategy&#39;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s1">&#39;market_change&#39;</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s2">&quot;strategy&quot;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s2">&quot;market_change&quot;</span><span class="p">])</span>
<span class="c1"># Maximum drawdown ()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s1">&#39;strategy&#39;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s1">&#39;max_drawdown&#39;</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s2">&quot;strategy&quot;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s2">&quot;max_drawdown&quot;</span><span class="p">])</span>
<span class="c1"># Maximum drawdown start and end</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s1">&#39;strategy&#39;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s1">&#39;drawdown_start&#39;</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s1">&#39;strategy&#39;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s1">&#39;drawdown_end&#39;</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s2">&quot;strategy&quot;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s2">&quot;drawdown_start&quot;</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s2">&quot;strategy&quot;</span><span class="p">][</span><span class="n">strategy</span><span class="p">][</span><span class="s2">&quot;drawdown_end&quot;</span><span class="p">])</span>
<span class="c1"># Get strategy comparison (only relevant if multiple strategies were compared)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s1">&#39;strategy_comparison&#39;</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="p">[</span><span class="s2">&quot;strategy_comparison&quot;</span><span class="p">])</span>
</code></pre></div>
<div class="highlight"><pre><span></span><code><span class="c1"># Load backtested trades as dataframe</span>
<span class="n">trades</span> <span class="o">=</span> <span class="n">load_backtest_data</span><span class="p">(</span><span class="n">backtest_dir</span><span class="p">)</span>
@@ -1914,20 +1888,22 @@ They will allow you to drill deeper into your results, and perform analysis whic
<h2 id="plotting-daily-profit-equity-line">Plotting daily profit / equity line<a class="headerlink" href="#plotting-daily-profit-equity-line" title="Permanent link">&para;</a></h2>
<div class="highlight"><pre><span></span><code><span class="c1"># Plotting equity line (starting with 0 on day 1 and adding daily profit for each backtested day)</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">plotly.express</span> <span class="k">as</span> <span class="nn">px</span>
<span class="kn">from</span> <span class="nn">freqtrade.configuration</span> <span class="kn">import</span> <span class="n">Configuration</span>
<span class="kn">from</span> <span class="nn">freqtrade.data.btanalysis</span> <span class="kn">import</span> <span class="n">load_backtest_stats</span>
<span class="kn">import</span> <span class="nn">plotly.express</span> <span class="k">as</span> <span class="nn">px</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="c1"># strategy = &#39;SampleStrategy&#39;</span>
<span class="c1"># config = Configuration.from_files([&quot;user_data/config.json&quot;])</span>
<span class="c1"># backtest_dir = config[&quot;user_data_dir&quot;] / &quot;backtest_results&quot;</span>
<span class="n">stats</span> <span class="o">=</span> <span class="n">load_backtest_stats</span><span class="p">(</span><span class="n">backtest_dir</span><span class="p">)</span>
<span class="n">strategy_stats</span> <span class="o">=</span> <span class="n">stats</span><span class="p">[</span><span class="s1">&#39;strategy&#39;</span><span class="p">][</span><span class="n">strategy</span><span class="p">]</span>
<span class="n">strategy_stats</span> <span class="o">=</span> <span class="n">stats</span><span class="p">[</span><span class="s2">&quot;strategy&quot;</span><span class="p">][</span><span class="n">strategy</span><span class="p">]</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;dates&#39;</span><span class="p">,</span><span class="s1">&#39;equity&#39;</span><span class="p">],</span> <span class="n">data</span><span class="o">=</span><span class="n">strategy_stats</span><span class="p">[</span><span class="s1">&#39;daily_profit&#39;</span><span class="p">])</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;equity_daily&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;equity&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">cumsum</span><span class="p">()</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;dates&quot;</span><span class="p">,</span> <span class="s2">&quot;equity&quot;</span><span class="p">],</span> <span class="n">data</span><span class="o">=</span><span class="n">strategy_stats</span><span class="p">[</span><span class="s2">&quot;daily_profit&quot;</span><span class="p">])</span>
<span class="n">df</span><span class="p">[</span><span class="s2">&quot;equity_daily&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s2">&quot;equity&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">cumsum</span><span class="p">()</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">px</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="s2">&quot;dates&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;equity_daily&quot;</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
@@ -1936,6 +1912,7 @@ They will allow you to drill deeper into your results, and perform analysis whic
<p>In case you did already some trading and want to analyze your performance</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.data.btanalysis</span> <span class="kn">import</span> <span class="n">load_trades_from_db</span>
<span class="c1"># Fetch trades from database</span>
<span class="n">trades</span> <span class="o">=</span> <span class="n">load_trades_from_db</span><span class="p">(</span><span class="s2">&quot;sqlite:///tradesv3.sqlite&quot;</span><span class="p">)</span>
@@ -1947,27 +1924,31 @@ They will allow you to drill deeper into your results, and perform analysis whic
<p><code>analyze_trade_parallelism()</code> returns a timeseries dataframe with an "open_trades" column, specifying the number of open trades for each candle.</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.data.btanalysis</span> <span class="kn">import</span> <span class="n">analyze_trade_parallelism</span>
<span class="c1"># Analyze the above</span>
<span class="n">parallel_trades</span> <span class="o">=</span> <span class="n">analyze_trade_parallelism</span><span class="p">(</span><span class="n">trades</span><span class="p">,</span> <span class="s1">&#39;5m&#39;</span><span class="p">)</span>
<span class="n">parallel_trades</span> <span class="o">=</span> <span class="n">analyze_trade_parallelism</span><span class="p">(</span><span class="n">trades</span><span class="p">,</span> <span class="s2">&quot;5m&quot;</span><span class="p">)</span>
<span class="n">parallel_trades</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
</code></pre></div>
<h2 id="plot-results">Plot results<a class="headerlink" href="#plot-results" title="Permanent link">&para;</a></h2>
<p>Freqtrade offers interactive plotting capabilities based on plotly.</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.plot.plotting</span> <span class="kn">import</span> <span class="n">generate_candlestick_graph</span>
<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">freqtrade.plot.plotting</span> <span class="kn">import</span> <span class="n">generate_candlestick_graph</span>
<span class="c1"># Limit graph period to keep plotly quick and reactive</span>
<span class="c1"># Filter trades to one pair</span>
<span class="n">trades_red</span> <span class="o">=</span> <span class="n">trades</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">trades</span><span class="p">[</span><span class="s1">&#39;pair&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="n">pair</span><span class="p">]</span>
<span class="n">trades_red</span> <span class="o">=</span> <span class="n">trades</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">trades</span><span class="p">[</span><span class="s2">&quot;pair&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="n">pair</span><span class="p">]</span>
<span class="n">data_red</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;2019-06-01&#39;</span><span class="p">:</span><span class="s1">&#39;2019-06-10&#39;</span><span class="p">]</span>
<span class="n">data_red</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">&quot;2019-06-01&quot;</span><span class="p">:</span><span class="s2">&quot;2019-06-10&quot;</span><span class="p">]</span>
<span class="c1"># Generate candlestick graph</span>
<span class="n">graph</span> <span class="o">=</span> <span class="n">generate_candlestick_graph</span><span class="p">(</span><span class="n">pair</span><span class="o">=</span><span class="n">pair</span><span class="p">,</span>
<span class="n">data</span><span class="o">=</span><span class="n">data_red</span><span class="p">,</span>
<span class="n">trades</span><span class="o">=</span><span class="n">trades_red</span><span class="p">,</span>
<span class="n">indicators1</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;sma20&#39;</span><span class="p">,</span> <span class="s1">&#39;ema50&#39;</span><span class="p">,</span> <span class="s1">&#39;ema55&#39;</span><span class="p">],</span>
<span class="n">indicators2</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;rsi&#39;</span><span class="p">,</span> <span class="s1">&#39;macd&#39;</span><span class="p">,</span> <span class="s1">&#39;macdsignal&#39;</span><span class="p">,</span> <span class="s1">&#39;macdhist&#39;</span><span class="p">]</span>
<span class="p">)</span>
<span class="n">graph</span> <span class="o">=</span> <span class="n">generate_candlestick_graph</span><span class="p">(</span>
<span class="n">pair</span><span class="o">=</span><span class="n">pair</span><span class="p">,</span>
<span class="n">data</span><span class="o">=</span><span class="n">data_red</span><span class="p">,</span>
<span class="n">trades</span><span class="o">=</span><span class="n">trades_red</span><span class="p">,</span>
<span class="n">indicators1</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;sma20&quot;</span><span class="p">,</span> <span class="s2">&quot;ema50&quot;</span><span class="p">,</span> <span class="s2">&quot;ema55&quot;</span><span class="p">],</span>
<span class="n">indicators2</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;rsi&quot;</span><span class="p">,</span> <span class="s2">&quot;macd&quot;</span><span class="p">,</span> <span class="s2">&quot;macdsignal&quot;</span><span class="p">,</span> <span class="s2">&quot;macdhist&quot;</span><span class="p">],</span>
<span class="p">)</span>
</code></pre></div>
<div class="highlight"><pre><span></span><code><span class="c1"># Show graph inline</span>
<span class="c1"># graph.show()</span>
@@ -1978,8 +1959,9 @@ They will allow you to drill deeper into your results, and perform analysis whic
<h2 id="plot-average-profit-per-trade-as-distribution-graph">Plot average profit per trade as distribution graph<a class="headerlink" href="#plot-average-profit-per-trade-as-distribution-graph" title="Permanent link">&para;</a></h2>
<div class="highlight"><pre><span></span><code><span class="kn">import</span> <span class="nn">plotly.figure_factory</span> <span class="k">as</span> <span class="nn">ff</span>
<span class="n">hist_data</span> <span class="o">=</span> <span class="p">[</span><span class="n">trades</span><span class="o">.</span><span class="n">profit_ratio</span><span class="p">]</span>
<span class="n">group_labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;profit_ratio&#39;</span><span class="p">]</span> <span class="c1"># name of the dataset</span>
<span class="n">group_labels</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;profit_ratio&quot;</span><span class="p">]</span> <span class="c1"># name of the dataset</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">ff</span><span class="o">.</span><span class="n">create_distplot</span><span class="p">(</span><span class="n">hist_data</span><span class="p">,</span> <span class="n">group_labels</span><span class="p">,</span> <span class="n">bin_size</span><span class="o">=</span><span class="mf">0.01</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
@@ -2085,7 +2067,7 @@ They will allow you to drill deeper into your results, and perform analysis whic
</div>
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