DOC: WIP fix tutorial

_sources/beginner-tutorial.txt

@@ -429,6 +429,10 @@ and allows us to plot the price of bitcoin. For example, we could easily
 examine now how our portfolio value changed over time compared to the
 bitcoin price.
 
+.. code-block:: python
+
+    %load_ext catalyst
+
 .. code-block:: python
 
     %pylab inline
@@ -484,7 +488,8 @@ a function we use in the ``handle_data()`` section:
 
 .. code-block:: python
 
-    %%catalyst --start 2016-1-1 --end 2017-9-30 -x bitfinex -o dma.pickle
+    %%catalyst --start 2016-4-1 --end 2017-9-30 -x bitfinex
+
     from catalyst.api import order, record, symbol, order_target
 
     def initialize(context):
@@ -492,16 +497,16 @@ a function we use in the ``handle_data()`` section:
        context.asset = symbol('btc_usd')
 
     def handle_data(context, data):
-       # Skip first 300 days to get full windows
+       # Skip first 150 days to get full windows
        context.i += 1
-       if context.i < 300:
+       if context.i < 150:
            return
 
        # Compute averages
        # data.history() has to be called with the same params
        # from above and returns a pandas dataframe.
-       short_mavg = data.history(context.asset, 'price', bar_count=100, frequency="1d").mean()
-       long_mavg = data.history(context.asset, 'price', bar_count=300, frequency="1d").mean()
+       short_mavg = data.history(context.asset, 'price', bar_count=50, frequency="1d").mean()
+       long_mavg = data.history(context.asset, 'price', bar_count=150, frequency="1d").mean()
 
        # Trading logic
        if short_mavg > long_mavg:
@@ -518,7 +523,7 @@ a function we use in the ``handle_data()`` section:
 
     def analyze(context, perf):
        import matplotlib.pyplot as plt
-       fig = plt.figure()
+       fig = plt.figure(figsize=(12,12))
        ax1 = fig.add_subplot(211)
        perf.portfolio_value.plot(ax=ax1)
        ax1.set_ylabel('portfolio value in $')

beginner-tutorial.html

@@ -525,6 +525,9 @@ information about the state of your algorithm. The column
 and allows us to plot the price of bitcoin. For example, we could easily
 examine now how our portfolio value changed over time compared to the
 bitcoin price.</p>
+<div class="highlight-python"><div class="highlight"><pre><span class="o">%</span><span class="n">load_ext</span> <span class="n">catalyst</span>
+</pre></div>
+</div>
 <div class="highlight-python"><div class="highlight"><pre><span class="o">%</span><span class="n">pylab</span> <span class="n">inline</span>
 <span class="n">figsize</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">)</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
@@ -569,7 +572,8 @@ data for you. The first argument is the number of bars you want to
 collect, the second argument is the unit (either <code class="docutils literal"><span class="pre">'1d'</span></code> for <code class="docutils literal"><span class="pre">'1m'</span></code>
 but note that you need to have minute-level data for using <code class="docutils literal"><span class="pre">1m</span></code>). This is
 a function we use in the <code class="docutils literal"><span class="pre">handle_data()</span></code> section:</p>
-<div class="highlight-python"><div class="highlight"><pre><span class="o">%%</span><span class="n">catalyst</span> <span class="o">--</span><span class="n">start</span> <span class="mi">2016</span><span class="o">-</span><span class="mi">1</span><span class="o">-</span><span class="mi">1</span> <span class="o">--</span><span class="n">end</span> <span class="mi">2017</span><span class="o">-</span><span class="mi">9</span><span class="o">-</span><span class="mi">30</span> <span class="o">-</span><span class="n">x</span> <span class="n">bitfinex</span> <span class="o">-</span><span class="n">o</span> <span class="n">dma</span><span class="o">.</span><span class="n">pickle</span>
+<div class="highlight-python"><div class="highlight"><pre><span class="o">%%</span><span class="n">catalyst</span> <span class="o">--</span><span class="n">start</span> <span class="mi">2016</span><span class="o">-</span><span class="mi">4</span><span class="o">-</span><span class="mi">1</span> <span class="o">--</span><span class="n">end</span> <span class="mi">2017</span><span class="o">-</span><span class="mi">9</span><span class="o">-</span><span class="mi">30</span> <span class="o">-</span><span class="n">x</span> <span class="n">bitfinex</span>
+
 <span class="kn">from</span> <span class="nn">catalyst.api</span> <span class="kn">import</span> <span class="n">order</span><span class="p">,</span> <span class="n">record</span><span class="p">,</span> <span class="n">symbol</span><span class="p">,</span> <span class="n">order_target</span>
 
 <span class="k">def</span> <span class="nf">initialize</span><span class="p">(</span><span class="n">context</span><span class="p">):</span>
@@ -577,16 +581,16 @@ a function we use in the <code class="docutils literal"><span class="pre">handle
    <span class="n">context</span><span class="o">.</span><span class="n">asset</span> <span class="o">=</span> <span class="n">symbol</span><span class="p">(</span><span class="s">&#39;btc_usd&#39;</span><span class="p">)</span>
 
 <span class="k">def</span> <span class="nf">handle_data</span><span class="p">(</span><span class="n">context</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
-   <span class="c"># Skip first 300 days to get full windows</span>
+   <span class="c"># Skip first 150 days to get full windows</span>
    <span class="n">context</span><span class="o">.</span><span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
-   <span class="k">if</span> <span class="n">context</span><span class="o">.</span><span class="n">i</span> <span class="o">&lt;</span> <span class="mi">300</span><span class="p">:</span>
+   <span class="k">if</span> <span class="n">context</span><span class="o">.</span><span class="n">i</span> <span class="o">&lt;</span> <span class="mi">150</span><span class="p">:</span>
        <span class="k">return</span>
 
    <span class="c"># Compute averages</span>
    <span class="c"># data.history() has to be called with the same params</span>
    <span class="c"># from above and returns a pandas dataframe.</span>
-   <span class="n">short_mavg</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">history</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">asset</span><span class="p">,</span> <span class="s">&#39;price&#39;</span><span class="p">,</span> <span class="n">bar_count</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">frequency</span><span class="o">=</span><span class="s">&quot;1d&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
-   <span class="n">long_mavg</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">history</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">asset</span><span class="p">,</span> <span class="s">&#39;price&#39;</span><span class="p">,</span> <span class="n">bar_count</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span> <span class="n">frequency</span><span class="o">=</span><span class="s">&quot;1d&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+   <span class="n">short_mavg</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">history</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">asset</span><span class="p">,</span> <span class="s">&#39;price&#39;</span><span class="p">,</span> <span class="n">bar_count</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">frequency</span><span class="o">=</span><span class="s">&quot;1d&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+   <span class="n">long_mavg</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">history</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">asset</span><span class="p">,</span> <span class="s">&#39;price&#39;</span><span class="p">,</span> <span class="n">bar_count</span><span class="o">=</span><span class="mi">150</span><span class="p">,</span> <span class="n">frequency</span><span class="o">=</span><span class="s">&quot;1d&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
 
    <span class="c"># Trading logic</span>
    <span class="k">if</span> <span class="n">short_mavg</span> <span class="o">&gt;</span> <span class="n">long_mavg</span><span class="p">:</span>
@@ -603,7 +607,7 @@ a function we use in the <code class="docutils literal"><span class="pre">handle
 
 <span class="k">def</span> <span class="nf">analyze</span><span class="p">(</span><span class="n">context</span><span class="p">,</span> <span class="n">perf</span><span class="p">):</span>
    <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
-   <span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+   <span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">12</span><span class="p">))</span>
    <span class="n">ax1</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">211</span><span class="p">)</span>
    <span class="n">perf</span><span class="o">.</span><span class="n">portfolio_value</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">)</span>
    <span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">&#39;portfolio value in $&#39;</span><span class="p">)</span>

searchindex.js

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