code/Course_140.ipynb

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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "      <th>weightedAverage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-02-01 01:13:35</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-02 00:00:00</td>\n",
       "      <td>9475.000000</td>\n",
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       "      <td>9334.571065</td>\n",
       "      <td>3.054696e+07</td>\n",
       "      <td>3258.636775</td>\n",
       "      <td>9374.151820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-02-03 00:00:00</td>\n",
       "      <td>9600.000000</td>\n",
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       "      <th>3</th>\n",
       "      <td>2020-02-04 00:00:00</td>\n",
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       "      <th>4</th>\n",
       "      <td>2020-02-05 00:00:00</td>\n",
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       "                 date         high          low         open        close  \\\n",
       "0 2020-02-01 01:13:35  9385.381965  9385.381965  9385.381965  9385.381965   \n",
       "1 2020-02-02 00:00:00  9475.000000  9163.600000  9385.381965  9334.571065   \n",
       "2 2020-02-03 00:00:00  9600.000000  9236.905812  9334.202358  9296.350031   \n",
       "3 2020-02-04 00:00:00  9360.543825  9092.909472  9295.675015  9194.558171   \n",
       "4 2020-02-05 00:00:00  9739.254693  9177.100000  9194.614905  9609.607399   \n",
       "\n",
       "         volume  quoteVolume  weightedAverage  \n",
       "0  0.000000e+00     0.000000      9385.381965  \n",
       "1  3.054696e+07  3258.636775      9374.151820  \n",
       "2  2.535231e+07  2713.973708      9341.397871  \n",
       "3  3.420635e+07  3710.230240      9219.469318  \n",
       "4  3.753042e+07  3973.576179      9444.998895  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datetime import datetime, timedelta\n",
    "import requests\n",
    "import pandas\n",
    "import time\n",
    "today = datetime.now()\n",
    "edt = time.mktime(today.timetuple())\n",
    "sdt = time.mktime((today - timedelta(days = 360)).timetuple())\n",
    "api_url = f'https://poloniex.com/public?command=returnChartData&currencyPair=USDT_BTC&start={sdt}&end={edt}&period=86400'\n",
    "res = requests.get(api_url)\n",
    "df = pandas.DataFrame(res.json())\n",
    "df['date'] = pandas.to_datetime(df['date'], unit = 's')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 安裝 Backtesting "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: backtesting in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (0.3.0)\n",
      "Requirement already satisfied: numpy in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from backtesting) (1.16.6)\n",
      "Requirement already satisfied: bokeh>=1.4.0 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from backtesting) (2.2.2)\n",
      "Requirement already satisfied: pandas!=0.25.0,>=0.25.0 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from backtesting) (1.0.3)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from bokeh>=1.4.0->backtesting) (2.8.1)\n",
      "Requirement already satisfied: packaging>=16.8 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from bokeh>=1.4.0->backtesting) (20.3)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from bokeh>=1.4.0->backtesting) (3.7.4.3)\n",
      "Requirement already satisfied: tornado>=5.1 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from bokeh>=1.4.0->backtesting) (6.0.4)\n",
      "Requirement already satisfied: Jinja2>=2.7 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from bokeh>=1.4.0->backtesting) (2.11.2)\n",
      "Requirement already satisfied: PyYAML>=3.10 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from bokeh>=1.4.0->backtesting) (3.13)\n",
      "Requirement already satisfied: pillow>=7.1.0 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from bokeh>=1.4.0->backtesting) (7.1.2)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from Jinja2>=2.7->bokeh>=1.4.0->backtesting) (1.1.1)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from packaging>=16.8->bokeh>=1.4.0->backtesting) (2.4.7)\n",
      "Requirement already satisfied: six in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from packaging>=16.8->bokeh>=1.4.0->backtesting) (1.12.0)\n",
      "Requirement already satisfied: pytz>=2017.2 in /Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages (from pandas!=0.25.0,>=0.25.0->backtesting) (2020.1)\n"
     ]
    }
   ],
   "source": [
    "! pip install backtesting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns = ['Date', 'High', 'Low', 'Open', 'Close', 'Volume', 'QuoteVolume',\n",
    "       'WeightedAverage']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Open</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-02 00:00:00</td>\n",
       "      <td>9475.000000</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-02-03 00:00:00</td>\n",
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       "      <th>3</th>\n",
       "      <td>2020-02-04 00:00:00</td>\n",
       "      <td>9360.543825</td>\n",
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       "      <td>9219.469318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-02-05 00:00:00</td>\n",
       "      <td>9739.254693</td>\n",
       "      <td>9177.100000</td>\n",
       "      <td>9194.614905</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "                 Date         High          Low         Open        Close  \\\n",
       "0 2020-02-01 01:13:35  9385.381965  9385.381965  9385.381965  9385.381965   \n",
       "1 2020-02-02 00:00:00  9475.000000  9163.600000  9385.381965  9334.571065   \n",
       "2 2020-02-03 00:00:00  9600.000000  9236.905812  9334.202358  9296.350031   \n",
       "3 2020-02-04 00:00:00  9360.543825  9092.909472  9295.675015  9194.558171   \n",
       "4 2020-02-05 00:00:00  9739.254693  9177.100000  9194.614905  9609.607399   \n",
       "\n",
       "         Volume  QuoteVolume  WeightedAverage  \n",
       "0  0.000000e+00     0.000000      9385.381965  \n",
       "1  3.054696e+07  3258.636775      9374.151820  \n",
       "2  2.535231e+07  2713.973708      9341.397871  \n",
       "3  3.420635e+07  3710.230240      9219.469318  \n",
       "4  3.753042e+07  3973.576179      9444.998895  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages/backtesting/_plotting.py:45: UserWarning: Jupyter Notebook detected. Setting Bokeh output to notebook. This may not work in Jupyter clients without JavaScript support (e.g. PyCharm, Spyder IDE). Reset with `backtesting.set_bokeh_output(notebook=False)`.\n",
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       "\n",
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       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
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       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
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       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1001\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.2.min.js\": \"JayppSWSRBsibIZqI8S4vAb1oFgLL0uhNvSn8cmArlOvYOwfFjYeyY5UWwJ+K0SU\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.2.min.js\": \"G0/Tv/Yy/zEPNsnW0Qif/FOsGesd+KIrKg/QLmvQmReuUW9qmSP7mAmr0VpiUNr3\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.2.min.js\": \"VLYHEbLQDk5G1+/4ALU0myoJPMEUsngWry2fzYorFOUmarjGRPLLURaeK/on6JqX\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.2.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.2.min.js\": \"JayppSWSRBsibIZqI8S4vAb1oFgLL0uhNvSn8cmArlOvYOwfFjYeyY5UWwJ+K0SU\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.2.min.js\": \"G0/Tv/Yy/zEPNsnW0Qif/FOsGesd+KIrKg/QLmvQmReuUW9qmSP7mAmr0VpiUNr3\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.2.min.js\": \"VLYHEbLQDk5G1+/4ALU0myoJPMEUsngWry2fzYorFOUmarjGRPLLURaeK/on6JqX\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.2.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages/ipykernel_launcher.py:21: UserWarning: Some prices are larger than initial cash value. Note that fractional trading is not supported. If you want to trade Bitcoin, increase initial cash, or trade μBTC or satoshis instead (GH-134).\n",
      "/Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages/ipykernel_launcher.py:21: UserWarning: Data index is not datetime. Assuming simple periods, but `pd.DateTimeIndex` is advised.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"d4871fda-2bdb-48f5-a962-4c9cf4500256\" data-root-id=\"1391\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"da843296-77ed-45b4-a3f4-a059f14eb90e\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1388\"},{\"id\":\"1390\"}],\"sizing_mode\":\"stretch_width\"},\"id\":\"1391\",\"type\":\"Row\"},{\"attributes\":{\"data_source\":{\"id\":\"1072\"},\"glyph\":{\"id\":\"1074\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1075\"},\"selection_glyph\":null,\"view\":{\"id\":\"1077\"}},\"id\":\"1076\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1072\"}},\"id\":\"1077\",\"type\":\"CDSView\"},{\"attributes\":{\"axis\":{\"id\":\"1015\"},\"dimension\":1,\"ticker\":null},\"id\":\"1018\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1099\",\"type\":\"Selection\"},{\"attributes\":{\"callback\":null,\"mode\":\"vline\",\"point_policy\":\"follow_mouse\",\"renderers\":[{\"id\":\"1081\"}],\"tooltips\":[[\"#\",\"@index\"],[\"Equity\",\"@equity{+0,0.[000]%}\"]]},\"id\":\"1083\",\"type\":\"HoverTool\"},{\"attributes\":{\"factors\":[\"0\",\"1\"],\"palette\":[\"tomato\",\"lime\"]},\"id\":\"1037\",\"type\":\"CategoricalColorMapper\"},{\"attributes\":{\"source\":{\"id\":\"1035\"}},\"id\":\"1082\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"1035\"},\"glyph\":{\"id\":\"1079\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1080\"},\"selection_glyph\":null,\"view\":{\"id\":\"1082\"}},\"id\":\"1081\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"factors\":[\"0\",\"1\"],\"palette\":[\"rgb(178, 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(max - min) * .03 : 0;\\n            range.start = min - pad;\\n            range.end = max + pad;\\n        } else console.error('backtesting: scale range error:', min, max, range);\\n    };\\n}\\n\\nclearTimeout(window._bt_autoscale_timeout);\\n\\nwindow._bt_autoscale_timeout = setTimeout(function () {\\n    /**\\n     * @variable cb_obj `fig_ohlc.x_range`.\\n     * @variable source `ColumnDataSource`\\n     * @variable ohlc_range `fig_ohlc.y_range`.\\n     * @variable volume_range `fig_volume.y_range`.\\n     */\\n    \\\"use strict\\\";\\n\\n    let i = Math.max(Math.floor(cb_obj.start), 0),\\n        j = Math.min(Math.ceil(cb_obj.end), source.data['ohlc_high'].length);\\n\\n    let max = Math.max.apply(null, source.data['ohlc_high'].slice(i, j)),\\n        min = Math.min.apply(null, source.data['ohlc_low'].slice(i, j));\\n    _bt_scale_range(ohlc_range, min, max, true);\\n\\n    if (volume_range) {\\n        max = Math.max.apply(null, source.data['Volume'].slice(i, j));\\n        _bt_scale_range(volume_range, 0, max * 1.03, false);\\n    }\\n\\n}, 50);\\n\"},\"id\":\"1328\",\"type\":\"CustomJS\"},{\"attributes\":{},\"id\":\"1242\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1329\",\"type\":\"CrosshairTool\"},{\"attributes\":{},\"id\":\"1193\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1243\",\"type\":\"SaveTool\"},{\"attributes\":{\"data\":{\"datetime\":[114,120,135,160,168,173,205,230,238,240,245,251,315,318],\"exit_price\":{\"__ndarray__\":\"ZJttUSIHwUD58sjAxe/CQCngCQOkPsJAzczMzKwLwkC4zXWWwODBQJBbQCaJl8JANSu6eZ2/xkAAAAAAAF7FQP0sGtsH3sRAEg33tjMKxUAjBJq+UabEQPoPpxtTVMVAMiD3RHSa0UD/crHSTdPSQA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[14]},\"index\":[114,120,135,160,168,173,205,230,238,240,245,251,315,318],\"marker_size\":{\"__ndarray__\":\"AAAAAAAANEAAAAAAAAA0QAAAAAAAADRAAAAAAAAANEAAAAAAAAA0QAAAAAAAADRAAAAAAAAANEAAAAAAAAA0QAAAAAAAADRAAAAAAAAANEAAAAAAAAA0QAAAAAAAADRAAAAAAAAANEAAAAAAAAA0QA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[14]},\"position_lines_xs\":[[55,114],[114,120],[120,135],[135,160],[160,168],[168,173],[173,205],[205,230],[230,238],[238,240],[240,245],[245,251],[251,315],[315,318]],\"position_lines_ys\":[[6750.2112440871,8718.26810999],[8700.83157377002,9695.54494583],[9714.936035721661,9341.28134273],[9322.59878004454,9239.35],[9257.8287,9153.50459168],[9135.197582496641,9519.07147984],[9538.10962279968,11647.23027732],[11623.93581676536,10940.0],[10961.88,10684.06137397],[10662.693251222061,10772.40402115],[10793.948829192299,10572.6386292],[10551.4933519416,10920.64928139],[10942.49057995278,18025.81670931],[17989.765075891377,19277.21598469]],\"returns_long\":{\"__ndarray__\":\"JDeqstWo0j8AAAAAAAD4f0BhvX9GsaO/AAAAAAAA+H+A8HRQERSHvwAAAAAAAPh/yMmDXdhNzD8AAAAAAAD4fwANRpPL85m/AAAAAAAA+H/AXaulyP6UvwAAAAAAAPh/RkASyN625D8AAAAAAAD4fw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[14]},\"returns_positive\":[\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\"],\"returns_short\":{\"__ndarray__\":\"AAAAAAAA+H8Qhux7VUS9vwAAAAAAAPh/gPObIMdJgj8AAAAAAAD4f8D1zpjUg6W/AAAAAAAA+H/QltP0FiCuPwAAAAAAAPh/gEIWZYMShb8AAAAAAAD4f2DLj8Gz6aG/AAAAAAAA+H9QD9XuIVKyvw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[14]},\"size\":[1,-1,1,-1,1,-1,1,-1,1,-1,1,-1,1,-1]},\"selected\":{\"id\":\"1287\"},\"selection_policy\":{\"id\":\"1288\"}},\"id\":\"1036\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1194\",\"type\":\"SaveTool\"},{\"attributes\":{\"children\":[[{\"id\":\"1040\"},0,0],[{\"id\":\"1172\"},1,0],[{\"id\":\"1003\"},2,0],[{\"id\":\"1221\"},3,0]]},\"id\":\"1388\",\"type\":\"GridBox\"},{\"attributes\":{\"data_source\":{\"id\":\"1035\"},\"glyph\":{\"id\":\"1256\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1257\"},\"selection_glyph\":null,\"view\":{\"id\":\"1259\"}},\"id\":\"1258\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1357\",\"type\":\"Title\"},{\"attributes\":{\"active_drag\":{\"id\":\"1188\"},\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":{\"id\":\"1189\"},\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1188\"},{\"id\":\"1189\"},{\"id\":\"1190\"},{\"id\":\"1191\"},{\"id\":\"1192\"},{\"id\":\"1193\"},{\"id\":\"1194\"},{\"id\":\"1215\"},{\"id\":\"1217\"},{\"id\":\"1329\"}]},\"id\":\"1196\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"mode\":\"vline\",\"point_policy\":\"follow_mouse\",\"renderers\":[{\"id\":\"1258\"}],\"tooltips\":[[\"#\",\"@index\"],[\"Volume\",\"@Volume{0.00 a}\"]]},\"id\":\"1260\",\"type\":\"HoverTool\"},{\"attributes\":{\"label\":{\"value\":\"Max Dd Dur. 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       "  var render_items = [{\"docid\":\"da843296-77ed-45b4-a3f4-a059f14eb90e\",\"root_ids\":[\"1391\"],\"roots\":{\"1391\":\"d4871fda-2bdb-48f5-a962-4c9cf4500256\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1391"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from backtesting import Backtest, Strategy\n",
    "from backtesting.lib import crossover\n",
    "\n",
    "from backtesting.test import SMA\n",
    "\n",
    "\n",
    "class SmaCross(Strategy):\n",
    "    def init(self):\n",
    "        price = self.data.Close\n",
    "        self.ma1 = self.I(SMA, price, 5)\n",
    "        self.ma2 = self.I(SMA, price, 20)\n",
    "\n",
    "    def next(self):\n",
    "        if crossover(self.ma1, self.ma2):\n",
    "            self.buy()\n",
    "        elif crossover(self.ma2, self.ma1):\n",
    "            self.sell()\n",
    "\n",
    "\n",
    "bt = Backtest(df, SmaCross, commission=.002, cash = 10000,\n",
    "              exclusive_orders=True)\n",
    "stats = bt.run()\n",
    "bt.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Start                                       0\n",
       "End                                       360\n",
       "Duration                                  360\n",
       "Exposure Time [%]                     73.1302\n",
       "Equity Final [$]                      17805.7\n",
       "Equity Peak [$]                       20755.1\n",
       "Return [%]                            78.0568\n",
       "Buy & Hold Return [%]                  244.23\n",
       "Return (Ann.) [%]                         NaN\n",
       "Volatility (Ann.) [%]                     NaN\n",
       "Sharpe Ratio                              NaN\n",
       "Sortino Ratio                             NaN\n",
       "Calmar Ratio                              NaN\n",
       "Max. Drawdown [%]                    -22.9235\n",
       "Avg. Drawdown [%]                    -4.60958\n",
       "Max. Drawdown Duration                    119\n",
       "Avg. Drawdown Duration                13.9048\n",
       "# Trades                                   14\n",
       "Win Rate [%]                          35.7143\n",
       "Best Trade [%]                        64.7323\n",
       "Worst Trade [%]                      -11.4324\n",
       "Avg. Trade [%]                        4.67266\n",
       "Max. Trade Duration                        64\n",
       "Avg. Trade Duration                   18.7857\n",
       "Profit Factor                         3.32942\n",
       "Expectancy [%]                        6.13577\n",
       "SQN                                  0.989042\n",
       "_strategy                            SmaCross\n",
       "_equity_curve                        Equit...\n",
       "_trades                       Size  EntryB...\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages/ipykernel_launcher.py:16: UserWarning: Some prices are larger than initial cash value. Note that fractional trading is not supported. If you want to trade Bitcoin, increase initial cash, or trade μBTC or satoshis instead (GH-134).\n",
      "  app.launch_new_instance()\n",
      "/Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages/ipykernel_launcher.py:16: UserWarning: Data index is not datetime. Assuming simple periods, but `pd.DateTimeIndex` is advised.\n",
      "  app.launch_new_instance()\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"c3795190-f39c-4ce7-8f02-b4b6f1ce9b14\" data-root-id=\"2009\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
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_bt_scale_range(volume_range, 0, max * 1.03, false);\\n    }\\n\\n}, 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Application\",\"version\":\"2.2.2\"}};\n",
       "  var render_items = [{\"docid\":\"75a6ed93-5842-4cb8-a65c-3180ea995312\",\"root_ids\":[\"2009\"],\"roots\":{\"2009\":\"c3795190-f39c-4ce7-8f02-b4b6f1ce9b14\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2009"
      }
     },
     "output_type": "display_data"
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   ],
   "source": [
    "class smacross_without_short(Strategy):\n",
    "    def init(self):\n",
    "        price = self.data.Close\n",
    "        self.ma1 = self.I(SMA, price, 5)\n",
    "        self.ma2 = self.I(SMA, price, 20)\n",
    "\n",
    "    def next(self):\n",
    "        if crossover(self.ma1, self.ma2):\n",
    "            self.buy()\n",
    "        elif crossover(self.ma2, self.ma1):\n",
    "            if len(self.trades) > 0:\n",
    "                self.trades[0].close()\n",
    "\n",
    "\n",
    "bt = Backtest(df, smacross_without_short, cash = 10000,\n",
    "              exclusive_orders=True)\n",
    "stats = bt.run()\n",
    "bt.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages/ipykernel_launcher.py:16: UserWarning: Some prices are larger than initial cash value. Note that fractional trading is not supported. If you want to trade Bitcoin, increase initial cash, or trade μBTC or satoshis instead (GH-134).\n",
      "  app.launch_new_instance()\n",
      "/Users/davidchiu/.pyenv/versions/3.7.3/lib/python3.7/site-packages/ipykernel_launcher.py:16: UserWarning: Data index is not datetime. Assuming simple periods, but `pd.DateTimeIndex` is advised.\n",
      "  app.launch_new_instance()\n"
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       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"d502dfb2-b3dd-4648-9661-9393bad36175\" data-root-id=\"2670\"></div>\n"
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(max - min) * .03 : 0;\\n            range.start = min - pad;\\n            range.end = max + pad;\\n        } else console.error('backtesting: scale range error:', min, max, range);\\n    };\\n}\\n\\nclearTimeout(window._bt_autoscale_timeout);\\n\\nwindow._bt_autoscale_timeout = setTimeout(function () {\\n    /**\\n     * @variable cb_obj `fig_ohlc.x_range`.\\n     * @variable source `ColumnDataSource`\\n     * @variable ohlc_range `fig_ohlc.y_range`.\\n     * @variable volume_range `fig_volume.y_range`.\\n     */\\n    \\\"use strict\\\";\\n\\n    let i = Math.max(Math.floor(cb_obj.start), 0),\\n        j = Math.min(Math.ceil(cb_obj.end), source.data['ohlc_high'].length);\\n\\n    let max = Math.max.apply(null, source.data['ohlc_high'].slice(i, j)),\\n        min = Math.min.apply(null, source.data['ohlc_low'].slice(i, j));\\n    _bt_scale_range(ohlc_range, min, max, true);\\n\\n    if (volume_range) {\\n        max = Math.max.apply(null, source.data['Volume'].slice(i, j));\\n        _bt_scale_range(volume_range, 0, max * 1.03, false);\\n    }\\n\\n}, 50);\\n\"},\"id\":\"2595\",\"type\":\"CustomJS\"},{\"attributes\":{\"axis\":{\"id\":\"2465\"},\"ticker\":null},\"id\":\"2468\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2596\",\"type\":\"CrosshairTool\"},{\"attributes\":{},\"id\":\"2337\",\"type\":\"Selection\"},{\"attributes\":{\"axis_label\":\"Volume\",\"formatter\":{\"id\":\"2498\"},\"minor_tick_line_color\":null,\"ticker\":{\"id\":\"2470\"}},\"id\":\"2469\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2338\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"text\":\"\"},\"id\":\"2626\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"2470\",\"type\":\"BasicTicker\"},{\"attributes\":{\"label\":{\"value\":\"Peak (139%)\"},\"renderers\":[{\"id\":\"2326\"}]},\"id\":\"2341\",\"type\":\"LegendItem\"},{\"attributes\":{\"axis\":{\"id\":\"2469\"},\"dimension\":1,\"ticker\":null},\"id\":\"2472\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2630\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"logo\":null,\"toolbars\":[{\"id\":\"2300\"},{\"id\":\"2432\"},{\"id\":\"2263\"},{\"id\":\"2481\"},{\"id\":\"2552\"}],\"tools\":[{\"id\":\"2292\"},{\"id\":\"2293\"},{\"id\":\"2294\"},{\"id\":\"2295\"},{\"id\":\"2296\"},{\"id\":\"2297\"},{\"id\":\"2298\"},{\"id\":\"2319\"},{\"id\":\"2596\"},{\"id\":\"2424\"},{\"id\":\"2425\"},{\"id\":\"2426\"},{\"id\":\"2427\"},{\"id\":\"2428\"},{\"id\":\"2429\"},{\"id\":\"2430\"},{\"id\":\"2451\"},{\"id\":\"2453\"},{\"id\":\"2596\"},{\"id\":\"2255\"},{\"id\":\"2256\"},{\"id\":\"2257\"},{\"id\":\"2258\"},{\"id\":\"2259\"},{\"id\":\"2260\"},{\"id\":\"2261\"},{\"id\":\"2593\"},{\"id\":\"2596\"},{\"id\":\"2473\"},{\"id\":\"2474\"},{\"id\":\"2475\"},{\"id\":\"2476\"},{\"id\":\"2477\"},{\"id\":\"2478\"},{\"id\":\"2479\"},{\"id\":\"2496\"},{\"id\":\"2596\"},{\"id\":\"2544\"},{\"id\":\"2545\"},{\"id\":\"2546\"},{\"id\":\"2547\"},{\"id\":\"2548\"},{\"id\":\"2549\"},{\"id\":\"2550\"},{\"id\":\"2591\"},{\"id\":\"2596\"}]},\"id\":\"2668\",\"type\":\"ProxyToolbar\"},{\"attributes\":{\"data\":{},\"selected\":{\"id\":\"2358\"},\"selection_policy\":{\"id\":\"2359\"}},\"id\":\"2342\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"bottom\":{\"field\":\"Close\"},\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"inc\",\"transform\":{\"id\":\"2273\"}},\"line_alpha\":{\"value\":0.1},\"top\":{\"field\":\"Open\"},\"width\":{\"value\":0.8},\"x\":{\"field\":\"index\"}},\"id\":\"2507\",\"type\":\"VBar\"},{\"attributes\":{\"source\":{\"id\":\"2342\"}},\"id\":\"2346\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"2489\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"2358\",\"type\":\"Selection\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"2473\",\"type\":\"PanTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"blue\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"blue\"},\"size\":{\"units\":\"screen\",\"value\":8},\"x\":{\"value\":360},\"y\":{\"value\":1.1495843431940005}},\"id\":\"2344\",\"type\":\"Scatter\"},{\"attributes\":{\"data_source\":{\"id\":\"2342\"},\"glyph\":{\"id\":\"2343\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2344\"},\"selection_glyph\":null,\"view\":{\"id\":\"2346\"}},\"id\":\"2345\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"dimensions\":\"width\",\"maintain_focus\":false},\"id\":\"2474\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"fill_color\":{\"value\":\"blue\"},\"line_color\":{\"value\":\"blue\"},\"size\":{\"units\":\"screen\",\"value\":8},\"x\":{\"value\":360},\"y\":{\"value\":1.1495843431940005}},\"id\":\"2343\",\"type\":\"Scatter\"},{\"attributes\":{\"overlay\":{\"id\":\"2480\"}},\"id\":\"2475\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"2359\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"2476\",\"type\":\"UndoTool\"},{\"attributes\":{\"label\":{\"value\":\"Final (115%)\"},\"renderers\":[{\"id\":\"2345\"}]},\"id\":\"2361\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"2477\",\"type\":\"RedoTool\"},{\"attributes\":{},\"id\":\"2478\",\"type\":\"ResetTool\"},{\"attributes\":{\"data\":{},\"selected\":{\"id\":\"2380\"},\"selection_policy\":{\"id\":\"2381\"}},\"id\":\"2362\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2479\",\"type\":\"SaveTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"red\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"red\"},\"size\":{\"units\":\"screen\",\"value\":8},\"x\":{\"value\":225},\"y\":{\"value\":1.0558727467530002}},\"id\":\"2364\",\"type\":\"Scatter\"},{\"attributes\":{\"data_source\":{\"id\":\"2271\"},\"glyph\":{\"id\":\"2506\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2507\"},\"selection_glyph\":null,\"view\":{\"id\":\"2509\"}},\"id\":\"2508\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_color\":{\"field\":\"inc\",\"transform\":{\"id\":\"2273\"}},\"line_color\":{\"field\":\"inc\",\"transform\":{\"id\":\"2273\"}},\"top\":{\"field\":\"Volume\"},\"width\":{\"value\":0.8},\"x\":{\"field\":\"index\"}},\"id\":\"2492\",\"type\":\"VBar\"}],\"root_ids\":[\"2670\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.2\"}};\n",
       "  var render_items = [{\"docid\":\"0b7092d7-6549-46e3-b5f7-3b74df6d3d18\",\"root_ids\":[\"2670\"],\"roots\":{\"2670\":\"d502dfb2-b3dd-4648-9661-9393bad36175\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2670"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import talib \n",
    "\n",
    "class KDCross(Strategy):\n",
    "    def init(self):\n",
    "        \n",
    "        self.slowk, self.slowd = self.I(talib.STOCH, self.data.High,self.data.Low,\n",
    "                                            self.data.Close, fastk_period = 9,slowk_period=3,slowd_period=3)\n",
    "\n",
    "    def next(self):\n",
    "        if crossover(self.slowk, self.slowd):\n",
    "            self.buy()\n",
    "        elif crossover(self.slowd, self.slowk):\n",
    "            self.sell()\n",
    "\n",
    "\n",
    "bt = Backtest(df, KDCross, cash = 10000, exclusive_orders=True)\n",
    "stats = bt.run()\n",
    "bt.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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