twiecki/ipynb_boston_python.ipynb

## ipynb_boston_python.ipynb
{
 "metadata": {
  "name": "zipline boston python"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Zipline tutorial"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import numpy as np\n",
      "import matplotlib.pyplot as plt\n",
      "plt.figsize(14,8)\n",
      "\n",
      "from zipline.algorithm import TradingAlgorithm\n",
      "from zipline.utils.factory import load_from_yahoo"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": [
      "Loading in data from stocks Apple. Good source of data hard to come by but yahoo is one source."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data = load_from_yahoo(stocks=['AAPL', 'PEP', 'KO']); data.save('talk_px.dat')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "AAPL\n",
        "PEP"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "KO"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "SPX"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>AAPL</th>\n",
        "      <th>KO</th>\n",
        "      <th>PEP</th>\n",
        "      <th>SPX</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Date</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-04 00:00:00+00:00</strong></td>\n",
        "      <td> 58.25</td>\n",
        "      <td> 42.00</td>\n",
        "      <td> 41.12</td>\n",
        "      <td> 435.38</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-05 00:00:00+00:00</strong></td>\n",
        "      <td> 59.25</td>\n",
        "      <td> 41.13</td>\n",
        "      <td> 40.75</td>\n",
        "      <td> 434.34</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-06 00:00:00+00:00</strong></td>\n",
        "      <td> 61.75</td>\n",
        "      <td> 41.38</td>\n",
        "      <td> 40.12</td>\n",
        "      <td> 434.52</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-07 00:00:00+00:00</strong></td>\n",
        "      <td> 61.00</td>\n",
        "      <td> 40.63</td>\n",
        "      <td> 39.00</td>\n",
        "      <td> 430.73</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-08 00:00:00+00:00</strong></td>\n",
        "      <td> 62.25</td>\n",
        "      <td> 40.25</td>\n",
        "      <td> 39.62</td>\n",
        "      <td> 429.05</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "                            AAPL     KO    PEP     SPX\n",
        "Date                                                  \n",
        "1993-01-04 00:00:00+00:00  58.25  42.00  41.12  435.38\n",
        "1993-01-05 00:00:00+00:00  59.25  41.13  40.75  434.34\n",
        "1993-01-06 00:00:00+00:00  61.75  41.38  40.12  434.52\n",
        "1993-01-07 00:00:00+00:00  61.00  40.63  39.00  430.73\n",
        "1993-01-08 00:00:00+00:00  62.25  40.25  39.62  429.05"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data['AAPL'].plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0xdbf5b2c>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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7YCJ7V5ypyHv3mgn8krR8uXTKKe5zQiEztGz/9OaUc4qS7OzmCxinbVmtPq2O\n9qrFOTAp/WHMgQEAAEipVaukCy4wyxBXV0udO7uPTZ8udelirrEyb57ZN2uW2Z9OU6ZIp51mbhur\nqTE9QR9+KA0dmt52IXPFqxsYbQgAAOBjdXVuT4dz+7WvSb/4hTRsmNm+6CL3+ZG9NOkSbwhZXV16\n2wL/o7MuIBiDaQe52kO29pCtPWRrD9kmL3JifocO5vYLX3CLl9LSUkVeWzxyDky6xJvE7xQwfhyk\nw3HrDQoYAAAAH3OGYEWKHEYmRRcP9MDA7yhgAsK5GBBSi1ztIVt7yNYesrWHbBPz2WfmeimRGi+N\nLEUXMMXFxVEFjBfLFcfqgQmFzAIDNTVm2489MBy33mAODAAAgE9MmCC99170l/3q6qYFTOMemcgh\nZM4ws3RqbhWyHTvMdWokfxYw8AY9MAHBGEw7yNUesrWHbO0hW3vINjHV1U33xRpCFrldWloa1fvh\nxXLFjYeQOe25/HK3gPEjjltvUMAAAAD4RKz5Ilu3ttwDE1nAeNUDE9kGZ9jYiy9Ku3aZ+/TAIFEU\nMAHBGEw7yNUesrWHbO0hW3vINjG1tdHbL7wgffe70uefR+8vKHDvFxcX66yz3O1M6IGJ/Hv4uQeG\n49YbFDAAAAA+0bgH5q9/NbeRvRsffiidfXb08667zhQ7Umb1wEjSXXeZW3pgkCgKmIBgDKYd5GoP\n2dpDtvaQrT1km5jGPTC7d0tPPOEWJ5K5mn0o5G472Tqrj3lRwHToEF18Rf493ngj/e1JFY5bb1DA\nAAAA+ETjHpg9e6S8vMSKkpwcc+vFELKuXaXKSnc7sgfGQQ8MEkUBExCMwbSDXO0hW3vI1h6ytYds\nE9O4gNm71xQw8TjZetkDU1AgVVS427W1pqjxO45bb1DAAAAA+ETjIWROD0wivOyBaVzA1NRIffpE\nP4ceGCSKAiYgGINpB7naQ7b2kK09ZGsP2bZOOCw9+qj06actFzCZMAcmsoBZt04aPVrq2zf97Ug1\njltvZHvdAAAAALTOn/4k/eAH5r7femAie2Ii0QODRIXC4fQdLqFQSGn8cQAAAIHirC52zTXSPfeY\n+9u3S/n5Lb929Wrp8MOl996TRoyw18ZYNm0yvS6bNknvvmvuNx5Wtny5NHJketuFzBWvbmAIGQAA\ngM9s3ereT3QyvDOEzIsemJ49TbESDrvzeHJzo5/DOW4kigImIBiDaQe52kO29pCtPWRrD9m2zl/+\n4t53hoacpPf/AAAgAElEQVQ1x8nWeZ4Xc2Byc83Praw0BczIkdKyZW7P0WGHpb9NqcBx6w0KGAAA\ngHbAyx4YyR0yVlcn9eol9e4tTZliHuvWjR4YJI45MAAAAD7hzIFx1NRIHTsm9tpt20zR8NFH0qBB\nqW9bS0aOlB57zMyDueceaeFCM39n1Srpe9+THnlEOuaY9LcLmYk5MAAAAD4X67tcS8PHYj3Xqx6Y\n7t2lnTvNEDKnLT17Sl/8YtPCDIiHAiYgGINpB7naQ7b2kK09ZGsP2basrs7czp1rhoN94xuJffHP\nhOvASFKnTubvUFcXu9fIj4N0OG69wXVgAAAAfKCqyswV+drXzJ/W8roHpmNH0/sS2QPjoAcGrcEc\nGAAAAB/YvFk6+mipvDy51zc0mN6XjRulvn1T27ZEfOUr0rRp0o4d0ssvS3PmuI+NHi3NmiUde2z6\n24XMxBwYAAAAn6uubnrtlNZwel68Opeck2N6X2INIaMHBq1BARMQjMG0g1ztIVt7yNYesrWHbFvW\n3NyRljTOtqEhNe1prfJy6YEHzKpjsRYf8OMgHY5bbzAHBgAAwAfq6lq36lhzvCpg/v1vc/vKK9K5\n50Y/Rg8MWoM5MAAAAD6wfLl02WXmNllXXCHde29yPTlt1aGDWzyddZb0/PPuY8cdJ91/vzRmTPrb\nhcwUr26gBwYAAMAHYq3e1VqzZqWmLcmI7Plp/L2UHhi0BnNgAoIxmHaQqz1kaw/Z2kO29pBty5Id\nQpaJ2cY6se7HQTqZmG17QAEDAADgA6maA+OVUaOk00839+mBQVswBwYAAMAHXnpJmjHDXEPFj+rq\nzG3HjtIZZ0gvvug+Nnas9Mc/Sscf703bkHmYAwMAAOBzfu+BiWx745XQ6IFBazCELCAYg2kHudpD\ntvaQrT1kaw/ZtixV14HJVH4cpOOXbIOGAgYAAMAH/N4DE4k5MGgL5sAAAAD4wBNPSPPnS3Pnet2S\ntrnzTnPdl+Jid9+4cdLdd0snnOBZs5BhmAMDAADgczU1UqdOXrei7a6/vum+UMifQ8jgDYaQBQRj\nMO0gV3vI1h6ytYds7SHblu3dK+Xltf51fsjWr0PI/JBtEFHAAAAA+MCePVLXrl63wh56YJAo5sAA\nAAD4wM03S9nZ5jZovvhF6Te/MbeAFL9uoAcGAADAB+iBAYykC5gZM2boyCOP1IgRI3TxxRerpqZG\nFRUVKikp0dChQzV+/Hjt2LEjlW1FHIzBtINc7SFbe8jWHrK1h2xbtmcPc2AyjR+yDaKkCpiysjLN\nmjVLS5cu1YoVK7Rv3z7NnTtXM2fOVElJiVavXq3TTz9dM2fOTHV7AQAA2qXPP5d69fK6FfbQA4NE\nJVXAdO/eXTk5OaqsrFR9fb0qKyvVr18/LViwQFOmTJEkTZkyRc8++2xKG4vmFUcupo6UIVd7yNYe\nsrWHbO0h25YlW8D4IVu/9sD4IdsgSuo6MAUFBbruuut0yCGHqHPnzjrzzDNVUlKi8vJyFRYWSpIK\nCwtVXl7e5LVTp05VUVGRJCk/P1+jRo068I/vdMOxzTbbbLPNNttss+1uv/66VFZWrIKCzGhPqrd3\n7pTC4cxpD9vp33bul5WVqSVJrUL28ccfa8KECXr99dfVo0cPXXTRRbrgggt01VVXafv27QeeV1BQ\noIqKCveHsQqZNaWlpQcOBKQOudpDtvaQrT1kaw/Zxuf0UHz0kTRoUOte64dsTz5Z+vWvza2f+CFb\nv0r5KmRLlizRiSeeqF69eik7O1sTJ07Uf//7Xx188MHavHmzJGnTpk3q06dP8q0GAABAlM6dvW6B\nPZzjRqKS6oFZvny5LrnkEi1evFi5ubmaOnWqxo4dq08//VS9evXSDTfcoJkzZ2rHjh1RE/npgQEA\nAHBt3y4NGCDt3Rv/eU4PTEWF1LOn/Xal2ymnSLfeam4BKX7dkNQcmKOPPlqXXXaZjjvuOGVlZWn0\n6NH61re+pd27d2vSpEl66KGHVFRUpCeffLJNDQcAAAiy996TKisTfz49MEAbrgPz4x//WCtXrtSK\nFSs0e/Zs5eTkqKCgQC+99JJWr16tRYsWKT8/P5VtRRyRE6CQOuRqD9naQ7b2kK097TXbBOYrR+nU\nqfU/ww/Z+nUVMj9kG0RJFzAAAABI3v/7f9Ivf9ny82pr3ft+/aKfCHpgkKik5sAk/cOYAwMAAKA5\nc6T9l86TFP/L+5Yt0iGHSCNHSm+/bb9tXjj1VOnmm80tIFlYhQwAAADJu+22xJ+7fbspYIJavDg4\nx41EUcAEBGMw7SBXe8jWHrK1h2ztaW/Zdu+e+HO3b2/bymN+yDYU8mcB44dsg4gCBgAAII3++19p\nyZLofc19eX/zTenjj4O5dHKkIM/tQeoxBwYAACCN7r9fuvJKdzsUkurrpawYp5VDIVO8nHmm9MQT\n6Wtjup1+uvSTn0hnnOF1S5ApmAMDAACQIbZujd7OypL27Wv++ZWVUkGB3TZ5jR4YtAYFTEAwBtMO\ncrWHbO0hW3vI1p72lO2WLe7988+XOnSQGhqaf35NTfDnwEjMgUHiKGAAAADS6NNPze1jj0mPPx67\nB6auTpo7190eNCh97fMCPTBoDebAAAAApNGRR0qHHio984yUmyvl5UmbN5tbx3vvSUcf7W5/9FGw\ni5iSEulHP5LGj/e6JcgU8eqG7DS3BQAAoN0Kh6W1a6W33jLFi2R6YBoPIdu7173fv3+wixeJHhi0\nDkPIAoIxmHaQqz1kaw/Z2kO29rSXbLdskbp0ie5tiTWErKLCvb92bdt+pl+y9eMgHb9kGzQUMAAA\nAGmye7fUo0f0vliT+HfscO9nt4PxMvTAoDWYAwMAAJAmK1ZIkydL77/v7uvdW1q5UurTx903e7Y0\ndaq53x6+Op15pnTttdJZZ3ndEmQKrgMDAACQAaqr3bkvjlg9MPGWVQ4iemDQGhQwAcEYTDvI1R6y\ntYds7SFbe9pLttXVUufO0ftizYGJd2HL1vJLtn7safJLtkFDAQMAAJAmVVWJ9cDs2yfl5KSvXV6j\nBwatQQETEMXFxV43IZDI1R6ytYds7SFbe9pLtrGGkMXqgWloMIVNKvglWz/2wPgl26ChgAEAAEiT\nqqqmQ8jogTE9MH4sYOANCpiAYAymHeRqD9naQ7b2kK097SXbWD0wa9dKjz4avW/fvtQtn+yHbP06\nhMwP2QYRBQwAAECaxOqBkaQHHojebmhoH9d/iUQPDBJFARMQjMG0g1ztIVt7yNYesrWnvWQbqwdG\nknr2jN5OZQ+MH7L1aw+MH7INIgoYAACANGmuB+bkk6O36YEBmkcBExCMwbSDXO0hW3vI1h6ytae9\nZBurB+b666UhQ6L3MQfGH/yQbRC1s9oeAADAO1VVUq9e0fuys2NfyPLkk6XDD09f27xGDwwSRQET\nEIzBtINc7SFbe8jWHrK1p71kG6sHpkMHqb7e3J8xwzzn88+lgQObrk6WDD9k69ceGD9kG0QUMAAA\nAGkSaw5MZA/MnXdKFRXm/qmnprdtXqMHBoliDkxAMAbTDnK1h2ztIVt7yNae9pJtSz0wBx+c+p/p\nh2z92gPjh2yDiAIGAAAgTaqr4/fAFBa6+7t0SV+7MgE9MEgUBUxAMAbTDnK1h2ztIVt7yNae9pJt\nVVX8HpjIAqbxxP5k+SFbv/bA+CHbIKKAAQAASJOWemAil052ipr2gh4YJIoCJiAYg2kHudpDtvaQ\nrT1ka097ybalHpiaGnd/qgoYP2Tr1x4YP2QbRJ4VMO++666yAQAA0B401wOzerW5X1MjzZ5t7tMD\nA8TmWQEzerT04x979dODhzGYdpCrPWRrD9naQ7b2tIdszzpLWrq0aQ/M++9LL7xg7tfUSL17m/t1\ndan5uX7I1q89MH7INog8KWCc7lG/HqwAAACt5RQpjQsYZ/5LQ4O0a5fUrZvZpgcGiM2TAubSS81t\n4y5UJI8xmHaQqz1kaw/Z2kO29rSnbBt//3FO7O7YIW3aJPXtK40cKZ1+emp+nh+yDYX8WcD4Idsg\nym75Kan36qvmtvEZCAAAgKBr/P1n715z+8kn0vr1poBZvjz97fJSKkblrFxperNGjmz7eyGzhcLh\n9NW7oVBI4XD4wEH6859Lt96arp8OAADgHef7T2VldC/M009LF17obvuxJ6KtLrxQ+trXpIsuSv49\nfvpTafFiadGi1LUL3nHqhlg8XUaZIWQAAKC96dQpevuCC6QJE7xpS6ZIRQ9MVZX00kvSZ5+1/b2Q\n2dJewFRVufezPRnAFkyMwbSDXO0hW3vI1h6ytSfo2UaeSM6K8e3LWXnMBr9k29aep8pK891y/vzU\ntCcRfsk2aNJewLz/vns/VcsDAgAAZLLKyviPH3RQetqRqVLRA1NZaXq3fvCDtr8XMlvaC5ixY937\nFDCpwzrkdpCrPWRrD9naQ7b2BD3bDRukQYOa72VwemBOPDH1P9sv2ba1B6aqKv3fLf2SbdAkXcDs\n2LFDF154oY444ggNHz5cb731lioqKlRSUqKhQ4dq/Pjx2rFjR7OvP+ec6IPsV7+STj452dYAAABk\nrvXrpQEDmn/c6YH5wx/S055Mk6oemPx8c98phhYsaJ+LIgRd0gXM1VdfrXPOOUcffPCB3nvvPQ0b\nNkwzZ85USUmJVq9erdNPP10zZ85s8rqhQ6XiYumkk6TaWrPvO9+RbrtNev31ZFsDxmDaQa72kK09\nZGsP2doT1GzDYXNByqlTpYqK5p/n9MDk5KS+DX7Jtq2Fxp49Uvfu5n59vbRqlfSVr7Q8fK8t/JJt\n0CRVwOzcuVOvv/66pk2bJknKzs5Wjx49tGDBAk2ZMkWSNGXKFD377LNNXjt0qHTtteY/qNMD8+c/\nuxdxAgAACIobb5QmTpTWrTO9MM1xemA6dkxPuzJNKnpgduyQevY096urpXHjzP36+ra/NzJLUuuA\nrV27Vr1799bll1+u5cuX69hjj9U999yj8vJyFRYWSpIKCwtVXl7e5LVLlkxVz55F2rdPeuqpfM2d\nO0pS8f5HS/WPf0jnnmu2narWGV/IdvPbxcXFGdWeIG07MqU9Qdl29mVKe4K0XcznAds+3XZkSnva\nuh0OF+vRR6UtW8z22rXNP3/jRkkqVseO7fPzdssWk1db3m/79mINGyZJpXr5ZSknx328Rw8+bzN9\n27lfVlamliR1IcslS5bohBNO0BtvvKExY8bommuuUbdu3fSnP/1J27dvP/C8goICVUT0l4ZCIY0b\nF9Zdd5nJ/E43aa9e0uefSyecYIaSnXpqa1sEAACQWa6+WurfX7rhBikvT9q9u/nn7t5thj+tWxd/\nrkxQTZ4snXeeuU1GOGzyO/ts6a9/NTn++tdmlM+GDVK/fqltL+xL+YUsBwwYoAEDBmjMmDGSpAsv\nvFBLly7VwQcfrM2bN0uSNm3apD59+jR57d69UpcuZp3ut96SXnxR+vhjc9XUQw+V9r8crRRZvSJ1\nyNUesrWHbO0hW3uCmO3evVJBgbk/cGD85+blmeFjzIFJzurVZviYMwemutrkL9ldmcwv2QZNUgXM\nwQcfrIEDB2r16tWSpJdeeklHHnmkJkyYoNmzZ0uSZs+erfPPP7/Ja7dskZy6ZuxY6YwzpB49pJIS\nU9g4B5stM2ZIy5bZ/RkAAAB1dW5Bsv+cb7NCIenBB9vv9WBizYEZOtR8b0tEWZn2Dx8zVq50e7yc\nRaMQHEkNIZOk5cuXa/r06aqtrdWgQYP0yCOPaN++fZo0aZI+++wzFRUV6cknn1S+s56dTFdQdnZY\nlZWxzzD84AdmjfSrr07679OiUEi69FJpzhx7PwMAAMAZFjV2rNS3rzlRi9guvlj68pelSy5x94VC\npqB7+umWL7Xx2GPSCy9Ixx4r/fCH0pFHmhPmr75qipnhw+22H6kXbwhZUpP4Jenoo4/W4sWLm+x/\n6aWX4r7u6qub7x7t2tV+D4xkKvFdu9xuRgAAgFSrrTXfeQYN8rolma+5Vci2bZMuukiKsS5UlI0b\npcJC6ZprpG9/23ynXLnSPMaF04MnqSFkbXHnnc0/lq4CZt48M2wtSBiDaQe52kO29pCtPWRrTxCz\nravLjGWR/ZJtc2OCRo9u+bVvv216X0Kh6J6url3tDiHzS7ZBk/YCJp4ePcwcmXj27EndRP8lS+Kv\nCAIAAJAspwcGLQuFoguYyOsDxrsAqGRe98Yb0oknuvtuusncFhTQAxNEGVXAnHOOmcB2+eWxH58y\nRerWTRoyJPmfkZvr3h8zRvq//0v+vTJJ5FrvSB1ytYds7SFbe8jWniBmmyk9MH7ItvEQsg8/dO9X\nV8d/7WefmdtDD3X3ORe07NXLbg+MH7INoowqYJwxos8/3/Sxigp34v2ePcm9f22t+TBxDvDvfjf6\nPwgAAECq0APTOpE9MObCnubEc0s9KB9+aCbpRxZBzlSBnj3pgQmijCpgJGnBAum445ruf/dds//a\na6XevZN77x07pM6dpXfeMZPCxo9veVKYXzAG0w5ytYds7SFbe8jWHr9mu3Gj9MAD0ft27TJfxmtr\nM6MHxg/ZNu6B2bDBjLxZvrzlAuTTT6Wiouh9Tu6JFEBt4YdsgyjjCpiDD449x2XZMumEE6SZM6Xt\n21t/saMNG8zqFHv2mO7EXr1MVd7SuEoAAIBYZs+W+vc3Izocc+aYs/8LF2bOEDI/CIWkhgZ3e8MG\nk23Hji0PAdu9u+nKstn719nNyeE6MEGUsQVMTY00d65Zv1uSFi2SRo0yB3Jurjm7kahw2HzIHHqo\n9OST7v6CAlMMBQFjMO0gV3vI1h6ytYds7fFjtg891HRfWZm5fecds7Jq585pbVJMfsi2c2epqsrd\ndgqYnBwzxyXeAk5795rVxiL17WtuO3a02wPjh2yDKOMKmD59zEpkTz5pLgB12mnSf/5jChjnGOnX\nT1q/Xrr11sTe82c/k376U+nMM81a4g56YAAAQLJiXd9l927zPeXnP5c2bXK/SCO+bt2i5zhHFjCS\ndMcdzb82VgFz2mlmugA9MMGUcQVMp07mIH7vPenUU82+M86QJkyQvvAFsz1okLR4sXTLLdHL7MXy\n3HPS7beb+5s2RT8WpB4YxmDaQa72kK09ZGsP2drjx2wjv3A731HuvFPK2v/tavfuzLjunB+yzctz\nh/nX1Ji5Rf36uUPw4vWixCpgJPNeOTnMgQmijCtgJDOM7N13pXHjzHZ1tVny2DFokOmVkaSdO+O/\n1/Ll7v3Gq5d17myGl0V2WQIAACQi8iTq2rXS735n7q9fb25/97vmrzCPaHl5ZmRNRYX5vubMa3F6\nYJIpYKTE5tDAfzKygBk9WnrtNenII919/fq590eMkB5/3NzfsSP+e0Ue0I3XEQ+FzDCyIPTCMAbT\nDnK1h2ztIVt7yNYeP2bb+Ev1ddeZ2/nzpUmTzMqpmcAP2ebluffr6szJ5S5d2l7A5ORIL7xg/k1s\n8EO2QZSRBcz3v28O1L59pcsuM/v693cfv+wyqbLS3G9pDsuePdINN5iJ/7HGqhYUMA8GAAC0Xm2t\nGaoeaeRI6bzzpHnzvGmTX3Xr5t7v29fMgenc2S1g4vWitFTAPPOMdP75qWsrvJeRBczxx0vf/KZ0\nxBHSxRebgqWkxH08N9ddHs/ppm1ORYUZA7l1a+zVQoIykZ8xmHaQqz1kaw/Z2kO29vgx27o600tw\nzz3uPuf7SSbxQ7aRPTCOzp3dIXjOietY4hUwW7a0vW3x+CHbIMrIAkaSHnzQVOBnnmmWQO7QIfrx\nDz6Qzj3XdAvGuybM55+bXpa8vNhrsQdpIj8AAEgf5zovV18tfeMbZt+2bd62ya+aK2Akadiwpt8D\nI+3dawrJWJYubXvbkHkytoBpyeDB0vjxptB55pnmn+f0wDQnKD0wjMG0g1ztIVt7yNYesrXHj9nW\n1blDnP70J3Nr+4x/MvyQbawCxlnN7a67TGE4dWrs18brgWnuNanih2yDyLcFjCQVFZnbCy+M/fjO\nndKbb0YvBtAYPTAAACAZkQVMjx6mx6DxgkFITO/ezT/Wo4e0YoUZkdPYp5+a+c6xCiBJ+slP4n8P\nhD/5uoAZONDcNnfQ5+ebJZmHDGn+PYIyiZ8xmHaQqz1kaw/Z2kO29vgx29pat4CRzMW4M5Efsj3s\nMLf4u+02afNm97EePcyUgMY2bzYns1sabdOpU0qbGsUP2QaRrwsY56JRgwc3fcxZbu/oo+O/R1CW\nUQYAAOkV2QMjSZdcIh13nHft8btOncwQvBtukAoL3f2RFwO97Tb3fn29ud2zJ3oVs8ZizYGGv4XC\n4XhT4FP8w0IhpfrHrVghTZ4srVxpxkc6FfjmzWYRgPLy+GdEHn9c+vvfpSeeSGmzAABAwB16qPSv\nf7lD2mHHrl1uEdOli5nzIkkff2xOYufmxr8o+SmnmOsLpu8bL1IhXt3g6x4YyQwR++wzc//aa6WN\nG6UpU6Rf/MKMeWypO5ceGAAAkAxnFTLYFTm/pbLSLUScouWb34z/ev6Ngsf3BUzv3tKMGeb+009L\nixdLc+ZIf/6zdNBBLb+eOTCIxy+5NjR43YLW80u2fkS29pCtPV5k++mn0n/+k/zra2r88eXY78dt\nVqNvqzU15ra62gw7u/vu+K+3+W/k92z9yvcFjGQm60vSBRdIO3a4+52LH8XTrZu0e7eddgHpcPfd\npvs8FmcuGACgqYsukr70peRfX1nZ/PVHYM+uXea2uloaMyZ6HlIsNifxwxuBKGCcyjoclp580lTq\nU6ZIp57a8muzs91JYH7GOuR2+CHXmhpTqDirt+zeLX34ofStb2X2mUE/ZOtXZGsP2drjRbZ79sR/\nfNOm5k+GNjSYz9/mTiBlkqAdt5EFTCL5n3iivbYELVu/CEQBM2GC9Ne/mol0zz1nJno9+qh0880t\nvzYnh7PU8DfnzNPcueb2llvMVYtnzfKuTQDgBy2NwHj6aXM7f37Tx5zhS42HN8GOG25w7zv/blVV\niRUw3/9+Zp/QQ+sF4r9dbq65mKXzAXPLLYm/NicnGD0wjMG0ww+5VlZKo0dL//d/ZnvbNvex3Fx3\ntZZM44ds/Yps7SFbe7zItqUemGefNbfnny+99FL0KlZ+Gj4WhON25kzp1lvd+6tWxb+AZaRQyN4K\nZEHI1o8CUcA4nDXDv/KVxF+TnU0PDPytqko65hgz1EGSdu50H+vWreVf0ADQXrXUA7N6tXu/pMRc\nusFRVeWfAiYofv5zc/vkk2al2bvvlrp3b/l1NgsYeCNQBYwzmb9v38RfE5QhZIzBtMMPuVZWmuK9\nrEx67LHoAiYcNhcFy0R+yNavyNYesrXHi2z37Wt+Anhdnbmm3F//Kp1wgtn3/vvu4xs3mksx+EFQ\nj9vFixOboJ/Iok7JCmq2mS5QBUyXLtIHH7RutYmgTOKHfYsXZ+aS204BI0mXXWbmgk2aJE2fboaT\njRwp3Xcf1zsCgFicQqWxjRvNZ+vhh7sngi65xD2T/9RT0nnnpa+dMD77TPrd79ztN99M7HX0wARL\noAoYyUxebo2g9MAwBtOOyFzHjpWuuca7tjSnqqrpWcA5c6In8X/ve+YsYibhmLWHbO0hW3sis501\nS3r+ebs/L/IL7dtvS+PHRz++bp00cKAZouRcMFsyJ7M++8ycGLr4YrttTJUgHbcDB5oLVz72mPTA\nA+6wsniYAxM82V43wGtBmcSP9Ni5U1q/XurXL3NWnqmslDp3lp54QhoxQjrkkNi9kJx9AuAXd98t\nTZ0qnX22vZ+xa5eZJyhJixZJL75olkZ2Ptt37jQnhwYMcE90nnKK9NFH0vHHm+3hw+21D83r3l36\nxjcSfz5zYIInQ76CeccZQub3A5sxmHY0zrWqypz9ibWkpleclXC+/nUzqdH5hdzYvn1N961e7d3S\nkhyz9pCtPWRrj5Pthx+a4eC2Ty7m55tJ/Lt3S/fea/ZFLnqya5f5otyhg9S7t9k3cmTmziuMp70f\ntzYLmPaerVfafQETCpkPJ3phkIgNG8xtJq08E28lnAED3Psvv9z08f/+NxhDKAEExzPPmN/NXnw2\n3XabWZ5Xiu6huf126YorTCGzdWv624W2sTmJH95o9wWMZIaRVVb6uxeGMZh2NM7V+cUWqzfDK84Q\nsljuucfcPvCA+6XAMXu2+SO5Zx1ffdVdjtk2jll7yNYesrXHyfamm8x8FC8KmN/8xnxeStKOHW4B\nM326udZWfr7Zf9hh0ltvpb99yWrvx63zu8/G97z2nq1XKGBkrqabny/9/e9etwSZbOBA9351tXft\naGzv3uZ7YJwrFDtLgEqmt7Gmxowvf/VVs+/TT83taaeZP34u5gH4V329mYNSXJzeAuaYY9z7PXua\nuTBPPGHaEckpYOrrpYMPTl/7kBr8bguOdj+JP1JDg9ctSB5jMO2IzLWuTlqzRrr2WlMApMsLL0iv\nvCL16GHOTErS3LnSkiXmT0WFORsYS6dOZo7LEUe4+1atMh/igwa5k1Q/+MDMn8nNNcXMRx9JQ4bY\n/XtxzNpDtvaQrT3FxcXau9d8bqVzgZ2tW81cl7/9Tfrud03PyuDB5rPz3HOjn5ufbz43q6qa7/nO\nRBy39oaRka036IGRNGWKua2t9bYdyGzV1VKvXuZP4wLmF78wBUHkUpupcPfd0llnmWENP/2p2bdz\npzR5snTXXeaaLz/9qZSXF/v1PXtKo0dHX6jtmWeklSvN/jVrpAsvNEXN55+bM58jRzLGG4A3amrM\niZR0XuLgoINMsfK1r5lraL3wgrR2rVltsvGXXqcHprra7eGGf9ADExwUMJIefNCs4FRZ6XVLkscY\nzNjCYemWW8z1BLZta/3rI3N1zrjl5jYdQvb001J5uSk0UmnmTFNQOFaulJYuNfezsswQh+nTm3/9\n6NGm90aSfvlL6frrzbyYv/zFDJnIzzfLgN5yi/SlL5lf4L16peeCnRyz9pCtPWRrT2lpqe6/31x0\nNwuDQpIAACAASURBVDvbmzkwkSMxbryx6eM9epgCxm89MBy39lYiI1tvUMDIfFD26GE+kBAsGzZI\nt94qnXOOdP/9yb9PQ4PpoevUyfxp3AOzfbt5zr33pvYDsrJSuvpqU1RccIG0YoUZNiaZuSpf/3r8\ns4ChkPtL9uabTQGzc6f03HPmfSXp2GPN7f/+J/32t+ZsJD0wQPtTWSkdfbS3Z6l/9jNzm64emMbz\nB52TU6GQVFLS9Pn5+e7JsGwG4fsK14IJFgqY/Tp3Nl/s/IoxmE3973/RE+8bGswvxMcekx59NLH3\ncHKtqTGFSygkFRaa5Ycjbd/uDkVM5SpeVVXSmWdKv/qVdNxx0j//Kb3zjvTII9I//tH693OuZfDg\ng+4v7iOOMKuqbd9uCqXBg811GGzjmLWHbO0JcrYHHyy9917qh8ImKjLbdMyByc1terKmoMDcdu4c\ne85Efr7pbe/e3W7bUi3Ix22ibBUwZOsNzh/s95e/mA+yWF3G8JcXXjCT3C+91N0XCpk1/Z2LNubm\nmlW4EvXUU+Z6QZLpuTjiCGn5cnO2srbW/PnTn8yFIf/7X9Nb0lbO2cd+/czE0l27TE+hZIaDderU\n+vfMypI+/lj6whea7s/PN/cPPdRclRpA+xEOmws6StL775vPAS+lYwhZXV30/EDJDNvt3FmaNSv2\na7p1M79Pbr/dbtuQevTABAs9MPs518uYO1f6xje8bUsyGIPpevxx08Oyc6d03nnmi/9dd0llZe5z\niooSey8n18suM8sVS1LXrtLxx5uVuz74QFq40Hz579DBTLh3liZuq6oqU2g5ZwG7dzdzWiTp8MOT\nf9/GxUtjXbokP5xy+/bEV2jjmLWHbO0JaraRn4/vv+9NG0pLSw+cZLI9hCwcNj3PjYeB5eZKp57a\n/NL0oZDpGfrOd+y1zYagHretwRyYYEm6gNm3b5+OOeYYTZgwQZJUUVGhkpISDR06VOPHj9eOHTtS\n1sh0OOss8wVx8mTTGwP/cnopbrnFvRBZfr5Zfavxc5I1dKjpbTnzTOkrXzGrfUnmmgGp+iy76Sa3\naHI8+KD947Nr1+QXtCgokL73vdS2B4B9y5e7970qYMJhs5jIww+bz+glS9yL7P73v8ktxNKcujpT\nvMQaJnbssdJXv9r8a7M49etL9MAES9L/DX//+99r+PDhCu3/3z9z5kyVlJRo9erVOv300zVz5syU\nNTIdevY0cxv8ijGYLuffccUKd0LmZZe5j0+ZYlbzSuSDzMk1FJLuu8/dP2SIWYLYGX7gFDDHHCNt\n3GiW4GyryC8UjmOOkS6+uO3vHU+XLk0Lp9aI1e5YOGbtIVt7gppt5P/bFSvS//NXrpS+/vVi7d5t\nTgqNHy+dfroZChwOSyeeKB11VOp+Xk2NO6S4sV69pN//PnU/KxME9bjNBGTrjaQKmPXr1+u5557T\n9OnTFd7/LXDBggWasn8W85QpU/Tss8+mrpVpEApJp5zidSuQas5ke2f+yrhxZnhZTk7rlgrOzpam\nTXO3e/c210355BOz7VwoMjtbmjBBevlls2hAW872ZGVJL76Y/OuT1aVLcj0wziIYTjEHwD/ee086\n4wypb19zcibdq3Lee6+0ZYt0222mJzcry+x75RVzK5l5qqma2P/JJ4kPJUYw0AMTLElN4r/22mv1\n29/+Vrt27Tqwr7y8XIX7T30XFhaqvLw85munTp2qov2fGvn5+Ro1atSB6tUZR+jVdvfupftbWaw5\nc6RDDvG2Pa3ZjhyDmQnt8XK7qqp4/5fwUr32mvv4ddeV6otflKRi9ewpzZpVqnHj4r/fsmXL9IMf\nXKP6eumNN0oVCpnH8/Ol5583zy8pKdbvfue+/vDDi7V6tTR4cKkOOUQqLW393ycclpYuLd0/fCK9\n+fXuXazKyta//r77SpWTI734YrFeflmaOLFUM2dK3/1u7Offc889GfX/P0jbfB7Y23b2ZUp7UrG9\nc6f0zDOluvde8/938GDp6adLNWBA+trz73+XSlqm7t2viXq8b99iXXWVJJWqoUG68cZi3Xln23/e\n00+X6qCDpHR/vnq1zedt6f6Tiql//8afDZny9/XjtnO/LHJSXnPCrfT3v/89fOWVV4bD4XD41Vdf\nDZ977rnhcDgczs/Pj3pez549m7w2iR+XVq+9Fg5L4fDIkeHwF7/odWta59VXX/W6CRnj2mvD4bPO\nMv+Wzbn44nD4+utbfq+///3V8N694XBubvT+FSvM+z/4YDhcUxP92MMPh8OnnWYel8LhcePC4YaG\n1v0dysrC4b59W/eaVPn443C4qKh1r9m6NRwePToc/uEPzd95yhT3779xYzhcW9v0NRyz9pCtPUHM\ndvZs83/1k0/M9lFHhcPvvdf887dvb/1nWjwXXmh+/q9//Wp4377ox8aMMe35+c/Nc3Jzw+HXXzef\nK21x883h8M9+1rb38JMgHret1aVLOLx7d+rfl2ztiVc3ZLVc4kR74403tGDBAh122GGaPHmyXnnl\nFV166aUqLCzU5s2bJUmbNm1Snz59WvvWnjvxRGnePHM19f/8xwwR8gunioW5DsvFF5vhCM254AIz\nCT+WcNhcALO2VpowoVhf/ao7l8bRr59ZZvSb32w6jvqgg6R//9usZCNJb75pVitryaefusMjnCWa\nvdCxY+tX/5k5U1q6VPryl6Vvf1t6/nn3sX79zHtu2BD9Go5Ze8jWniBm68zlc+YPxrpYb6SePZO7\nDlVznnrK3P70p8VNJsh362YWFTjuOLMdDksnnaT9vTLJW7VKGj68be/hJ0E8bluL68AES6sLmNtv\nv13r1q3T2rVrNXfuXJ122ml67LHHdN5552n27NmSpNmzZ+v8889PeWNt69BBmjTJvZDV9u3etgfJ\nWbPGTLJ3LtoYy9ChzV+s8bXXpAED3F+Ysa6JUlAQvexopIMPNsVPZA3/9tuxn1tb636oFhWZX8yS\n9wVMbW3rXtO1q7k97jhp1ChTPN55Z/RznngiNe0DkFpbtkjf/767dHBubtOTNg7n89D5jNi5s+nF\nIKXWzaM7+2xp+vTYjzkrj51xhjRokFkaX2p6/ZbWWr9eOuSQtr0H/IU5MMHS6gKmMWcVshtvvFEv\nvviihg4dqldeeUU3+viKkGPGmFs/LaccOX6wPQuHpY8+MleTj2fwYFOAxOppcHoKBg2S5s0rVefO\n5hdsopxrtezvkJQkLV4c+7nOL+ennza3//uf6YX597/NggNeSKaAycszxUv37m67nQLQcfvt0V9q\nOGbtIVt7gpjtli3Rq3A2V8DU15tCY8AA96KX557btBB4/nn3pEYiunQxq47Fyvbmm6VHHjHPuflm\n0zbJLJhSVSX94Q9uW1qjsrJ1bfS7IB63rcV1YIIlqUn8jlNOOUWn7F+6q6CgQC+99FJKGpUpfvEL\n6cc/lt55x6xNH1TOalnXXy9dc433V2Bui/Jy8yHVq1f85+XmmqFNn3wiDRtmXtenj8nhf/8zw8Bm\nzDBFyF/+0vLFHyN16GCGqPXvb5b9rKw01zMIh6XZs6WpU93nOmcuL7rI3O7Y4Z5Z9KrHIien9QXM\njh3umdFRo9xrLEjSiBFmuMmhh0rXXSfdf39q2wugbcrLzcV5HZEFTChkCpSdO03vS36+dNpp7giF\ndeuaFjvO59rGjeZztiWVlc1fOPKCC9z7eXnudWH+3/8z9599Vho5UmppFM9bb5mTS87na7yfiWCK\ndc0f+Febe2CCas4cszTu1VebYT0NDV63KL62jMGcNMkMubrnHumf/0xdm9ItHDZLgH7hC4l9UB1+\nuLt09vr15totd9wh/epX0l13mcKmuNjMgWntcK6nnjLXEfjTn6Sf/MQs2bx7t3T55dKsWe7ztm0z\nc2VGjHD3felLpsfGGcqYbpE9MFVV5poMd9xhMmrOmjWmx8oReXXrrCzzBaigwD17KjFu2CaytcfP\n2dbUmKvPN1ZWZnpVHI17YD77zBQw5eXmeZGFhPN/PbJ31ZlfuHBhYu1yekNayrZbN+lvf3O3nas1\nRPZ2N2fcOOnxx6N/ZnsqYPx83KYSc2CCgwKmGZdeaq774QwjW7LE2/akSjhszpYvX+5OtH76affC\ni4n8IshUznCwgw9O7Pl9+5pfyKNHSz/8oSl8nHkxhx+eunY5XwacYQ7f+pZbIGzbZnp7nIUAPvtM\nev31psOv0ik723zJaWgwZzYXLJBuvFGaP988vmdP04u+rlgRXYQ5XntNmjvX3P/FL1J3DQcArdev\nn3TlldH7zJLt7tBXyUzir65u2rPywQfmRETktaKcSfddu0q//rXpeX7gAfNzli5NrF2JFhN5ee79\nP/zBbeu6dYn9nMhr27S3AgbMgQkaCpg4DjrI/ZB+801v29KSRMZgbthgfgH07GmG+VxwQfRKM9de\nG/8se6ZzioJEF8BzemmOOEL617/Mfaf4cXpcUjG2tXEBI5lhart3m2Kld2/zS1iSBg5s849rs1DI\nFFQ/+pGZTySZ4RnOqnwffRS9wlt1tTmDG6voO+kk05MlNT2ry7hhe8jWHj9nW1HhnohwPPigGQ7W\neA5MTY0pDPr2NZ9TkvTnP5vtyAIm8nfIz39uho2dc470ta+Z4deJ2LvXvGdL2XbrZm6PPNKda3fx\nxeYESjwbN5rbd99197W3AsbPx22qMAcmWChg4nDmUXz966bXws+qq81kS3MhR6OqyixFOXy4Oat+\nwQWmUPPLWfLy8ujVb5wCpqX5L4477jBDtSLPys2cab64Rw51aitnSdJdu0zPypgx5mc+8IC5wnTf\nvk2XYvZaba30u9+5K4mdcIJZXlxyi1znODn9dHN8tfR3iLeyEQD7iorM52ZtrZn/9+CDpke4Mef/\n6qefmhMQzhzQsjJTpEQWMDt3Nn39hg3mJNny5Yl9YWxtD8yiRe4qkyNHuouhNOexx6TzzzejDdas\nMZ9ddXXuiSO0D/TABAsFTBynnio995z50pnpBUxLYzBXrJCWLTNFzHe+I5WUmP2zZpnhQl27mi+p\neXmJj1tOt+uvly65RHroIXO9nuOPj16pyylgnKWIW3LQQebftmtXqUcPd78zoV5KzdhW58vArl1m\nlS5ne+dO6Ze/lH76UzPvpvGyw1770Y/cpU1PP92cJa2tNfPDJFOEhcPSG2+YoWItaVzAMG7YHrK1\nx8/ZOr2kzz1nTuBccYXp9d1/BYQDIguYyEVdjj/efIY5BczOnaYYaDxH9A9/MM8Lh811udauNYXG\n44+bEyCNl112CpiWsi0oMJPw+/VzC5iiIvPZ1Jz6erOK2fXXSz/4gXT33eazq0uX9jWp28/Hbapw\nHZhgadMqZEGXl2eWz9240VxIy8+cs2RHH20+xCXpvvuk733PHdqUlWUKhGeeMYVOJnnuOTOxXoqe\niCmZAqxDB/PleuBAM+m8NWbNMitjfeEL5kyds4x2quTkmF+iGzeaYRqff25+ge7aJR12mPlQ/dKX\nMm+lu29+0xR25vrXUufO5tj43//M41VVJvvu3RMrGumBAbxVXW1O+rz/vtuDGg5LJ58c/bxOncz/\n71Wr3CWSH3rIrKoomS//e/e6BU4oZIoW53eLc4HIvDwzJ8axcKH5HXPUUdHDvhJd0rh7d/dEVZcu\n5qK5/fq5Cwo46utNmzp0MO3q08dcqHrzZumWW0xvTHtaQhkGPTDBQg9MAjp1av2ysunW0hjMzZvN\nF/PIX1RXXim98IL54/jKV8yX1ExbdW3mTPf+0KFmxTTJzOdZvtzcr6tL7uJmnTqZX2bl5eZaBJFS\nMbbV+dCcM8fMsamrM4XxH/8YPSk1k4TD0XNaQiFp7FjzJebkk82Z0HffNWdTG0/obw5zYNKHbO3x\nc7bV1eYk1urVbgGzZUt0D7Rk/q8+8YT08MNuD8y0aeYzQDLDXjduNAVMUZHZN2WK+3qnZyNyfozk\nzqNzbiUzpGvPHnOCpDXZhkJmGG63bk17YHJy3NXRli83bQuF3L/nj3/cvua/SP4+blOFOTDBQgGT\ngA4dYi89menuvVe66SZzf/Nmc5a8cZf5+PHuWTXJ/LLaudMML/Da5s3S5MlmdZzXX3evH7JihXvV\n6OOPd+dk1NZm3lySSC+/bM4+Rq6Yk6kFTCwTJ0ovvWS+AFVUSGedZVYea3z2tjk9erjXjmhs1Cjp\n449T11YATVVXS8ceaz6LnC/9tbXu5HhHbq5bZMS6BtaQIabw2LTJvc6L0zvy6KPu8yJ/3/zjH6Yn\nvfH+M880t9lJjgfJy2t+CNkJJ5hFR4YMMdvO3MbPPmt/BQza15DB9oACJgF+KGBijcG8/npzMUbJ\nFAOJLC8cCpn5GM7V6L2yYIE5yzd3rjnTf8MNZrhARYUpUjp0ML+0/n979x3fZPX9AfxTyiijSKGF\nFgpf9ii7YFVEKbIdiAxliCwRQUSWigyR+VNRVECUIcpQRFDAxZISQKBsEGhZlkJZZRQotJSu+/vj\n+PRJSkfa5mkGn/fr5StNUpKbY/ok57nnnluxop4QGJHA2Kq29eJFmdVq0kRKxzTpz3w6shdflC86\nTz8tie+cOXL7lCnW/XtfX5nl0mix7dJFzpL26qV3O6K8YU22cZw5tgkJciIrIEAWtGvSJw8eHnpb\n+gYN7n+cMmWkxOzmTcuGJ4UKWc7EaC2WR48GnnlGGuKY3w5I4qN1B8tNbH185CSWm5scX8w/q0ND\nJdHSEhjteHvjhsz4PEic+X1rS1wD4zqYwFjBXglMeHje/ti0cp3wcOsTGEDWZcTE5P55bUHbdycu\nTj5IP/xQPqC8vCx/LyhIPoj/+EPO8DnqDIyfn372Z/p0vQTO2vIrR+DrK8lXhQpSdvjGG/rmodYo\nV06+YJiXJx44ICWLgOyUbV4qSES2k5IiJ6ZKlpSNdoH794TReHjIZ0D//hlvqOvmJseDs2ezLtvV\njnkzZsildrwzPxOuNTfJLQ8P+YwGZEyjRlneHx+vf/bVr6+XtTlLt02yHa6BcS1MYKxgrwQmIOD+\nnv2ZMZlMePll6bufnGz5R9q/v5yhsjaB8fTUF/YrJYlQfqwBuntXNg5VSlr2Dh4s0/xZlRZ06ABs\n2SJNB8aPz90amKwYUds6YADw1lvysyPs+5JfihSRcg8tOTaZTLh0yfJ3tM5ClDesyTaOs8Z24kRZ\na1K2rD4TUaNGxpsXe3vLZUbJi6Z8eUlgsjppZD7bDOgJTFQU8MorciLn4kU9gcltbFu31n8OCbG8\nLy7OMmEqXFhKVgcNytVTOS1nfd/aEtfAuBYmMFawZwnZzJnW/Z5S8uW/aVNZp3D+vL4fSmiobNRY\nrZp1j1WihHSa+vZboGNHmWrPaJd1WztyBHj5ZaBFCzlL1r9/9v+mQgV57doHZVbtNB2NUtZvuukq\nfH0tvzCZ78Hz44+W14nIdsLD5VI7IfTpp7LZZEazwNrJrqzKrPz8ZC1JVieNpk7VS03NHxeQjo8j\nRsixPv0anJz66Sf95yNHMp9Z0hw8KCfI6MHCGRjXwgTGCvmZwKQ/Y7V9O/DUU5kvftYEBQWn/azV\nJvv6Ws6cZLQYMyMlSsjCx/79pWQrJETfydjc558Dy5ZZ95jW0GZ9tm8H/v5bkjFreXpKwwKtxtpW\nWNtqW76+soEeILE1T1hKlLi/HSrlDt+3xnHW2Lq5We73MnJk5uWfWqKR1Ya+fn7Zz8CMGSOlpprM\nSma1DSVzG9uSJYF16+SEGyCfA4cOyc+bN+fqIV2Os75vbYn7wLgWJjBWyK8EZv16fWo/KUmf9t6y\nRTqKZUX78l++vHQRu3dPPhQKFZL+9+atkrNjXtY0YwYQHCxJUfqa4REjgN69rX/c7GivAQAefzzn\n/37aNOC992w3HrI9k0ladUdH6/vh+PtLR7PixZnAEBnhxx9lraC1M+laopHVTvXFi8sJt5ysOzRy\nzV/79vKZBMgxpWFDme196injnpOcC2dgXAsTGCvkVwKjldb8+qt8kfP0lB2M582TzRsvXLDsumVu\n82YTqlWTjk7mCQwA7Nhx//4mWfHzkz/yVaukxEnrn69thqnRZnSUkoRL63iWW7GxcuZMK3VwBKxt\nta3HHpNLX1/A29uEt96S/YnWrdPbodapw7OmecX3rXGcMbY9esil1o0rO9omj+n3cTGXm3WR2syO\ntoll797A1av6/XmNrbYlgJYoOVOTFKM54/vW1rgGxrUwgbFCfiQwy5YBe/bIz998IwsuH31UNgl7\n9VU5W+3vL2tbtm27/9/Hx8sXwIcekvIx8wQmt7p00WeBqlbVp+Q12gZnJ09KojV2bO4PDvfuyVnC\n0qWB2rVzP2ZybFu3SqI6frxcT0iQckFALyE7flzWbRGRbeV036n0J63Mmbfot1bZstJ4pUYNoGtX\nYPhwvWGALXh7A5GR3OOFMsZ9YFwLExgrFChgfALTu7e+UWNUlCQ0Wr1ygQL6gvbAQMtdjDW1awfD\n0xMoVer+GRhb6NYNWL1afo6IkDUxCQlyxuvPPyWBAoBdu7Jfr5OR5cv1s/COhLWttlWwoMwsTpkC\nJCcH44MP9I5s5iVkzrQ/jiPi+9Y4zhjbVq0s92ex1s2bmd+nrY/J6nfSK1RIPi+KFAFWrpTPM3O2\niK12Yo0sOeP71ghcA+M6mMBYwd3dcu8KI23eLB1SEhIsO7b83//JH167dpZrRTS3b+szMJ99JmVY\nttwTpUoVpLW8fe89YNw4SVa6dJHEQ2uN+/jjclYtpxYtkku20X1wuLvLTOO4cXK9RAn9PZbbXbmJ\nXNmpU7LnVU4VLQp07pyzfzNwoF56lpWcJDBE9sQ1MK6FCYwV8qOETFs437KlXGbWTtZ8jxZzu3eb\n4OmpnxWbNMm2MzBlysjMj1KyEPu77+T2Zs2Ao0ctZ120HZxzIioKOHHi/k3I7I21rcZJH9vixfUT\nBWxxmjd83xrHXrFVCqhZU/a8yukJtZs3cz67PX++NHDJyoQJwNChOXvcrPB9axzGlmtgXA0TGCtk\nlMD07w8sWJD3x05MBGrVki/wu3fLH5ibW+YbiJUsmXECc/eufEA9/bT03Y+NtW0CU66ctMwMC7NM\nUCpXlrPmJ04APXtKKVz6VtDWSEiQ5Iw1qg8uW84YErka832x/vrL+n935Qrwzz/SlcvWJk+W8jQi\nZ8AZGNfCBMYKGSUw334LvPaazEbkRWysLIIH9ITjyBEpz8qIp6f8m88+09sah4UBmzcHw8tLEp/X\nX5fbbbkrfUCAJEhvvw106iSJyokTckYQkDKg8uWlJGjvXus3lFy/Xg4oCQlZ7zlgL6xtNU5msd2+\nXWZjoqMlOdbWVykFtGkj733KGt+3xrFXbK9cAT76SBbA795t3Uy3ySQnn1q00Dc2dmR83xqHseU+\nMK6GCYwVsiohy+vGifHx0l1s61a9BWTdunpikJ6npyzwHzlSZjwAYNgw4MABvV7Z3V0ubZkQuLkB\nAwbIepcXXgCWLNHH+OOPsnaldGmgWjXpuz9zZvaPmZgoHWliYx03gaH8de8e0Lw58Mgjsm9F+fLA\n++/LfVFRcuZ58uScdT4i56eUvs7uQRUZKWsgP/1U/iasmbE8d04uc9JGn8hVcQbGtTCBsUJGCYy/\nv5RzNWiQt8eOj5eWj08+qSceWSlZUv/54EG5lD0zTBY71y9caNvaZEBvb1y5suXtL70kCdRrr8n1\n4cOlw0x2tHUz0dG275pmK6xtNU5GsdW+lNWrp+/grdXuh4fLGrFataQTHmXO1d63333nODMI+RXb\nAwf0v4HERGlVX6OGJPjW0kpy27Sx/fiM4GrvW0fC2HINjKthAmOF9AlMUpIsaP/jD5nWj4mRPVxy\ns7HXtWvSIcZanp5yeeKEjEH7ImeevAAyW1K3bs7Hk5Vq1eQyo/U5/v76FwxtXUx2tDOq4eFS7laA\n70b6j/ZeatlSSiUTE4GdO2VmpkIF2Q8pr5QCNmzI++OQ8S5etPcI8tfBg0CTJsDcuXI9NFSO58WK\nAV5e+u9ltd7w99+lRXn79pL0Ez3ouMbWtfAroxXSJzB//SUzL1WqSALz8svyxapIkZx14Fq7Fnji\nCeDwYev/jZbs1KgBNGqkbya2YkWw9Q+SS1p/ffMP0Iz4+MheNNkldFoC06lT7pK//MDaVuNkFVst\nUW/cGJg1S/62fv9duiL5+wMXLuT9+SMj5ctdWFjeH8vRuNr71pFObtg6tjEx958VXrVK/zkxEdi0\nyXIW5c8/5bPAPJFfsUL2VfnrL1lX+dxzMsv98882Ha6hXO1960gYW8E1MK7DgT4WHFf6BOa774C+\nfeWL+tWrlrXZOfkylJPERVO/vsy8uLkBW7ZIqdiUKUDVqjl/rJwqXFieO7tdjgsUkA9XrTnB1Kn6\nbuvmYmJkvUyTJrYfKzm34sXlslMnvevegQOyz5C/v6yHySttHU3dulLGSI7LmvJaZ1WmjD7TojHf\nyNXXV9Y9PvmkfluHDlJK9u+/+m2//SYzN23aAEOGyG3h4dyVnkjDNTCuhQmMFQoXljUagPTf37RJ\nvlgVLizlLbt3y33t2slZXWslJkoTgJyWT2olXJUqyWXHjvlXg5lZe+f0YmMl2Vq4UPYKmDXr/t+J\niZEvo+XL23aMtsTaVuNkFdtr1+SyeXOZedHWwZQoATz6aN67/yUlWbaizcnfrTNwtfetI83AGBHb\n2bPlWBgeLtfv3NGbV3h6yvuzTh3Lf9OqlfxOv35yvVgx6Q4pYwQee0xft+gsXO1960gYW66BcTUO\n9LHguPz8pFRszx7g11/lS5Svr35/x44yQ1O/vvTbt1ZSkvTmb9Eid+M6dUo6kdWvn7t/b6Tdu+W1\nDRwo11eu1Ns7A7J2p29foFQp27Z7JtfQt6/8rbm5Ac88Iwmx1jY8MFC+6OVlc1mtk9P778vf74O2\nxsLZuFrt+qefSiK+dq1cP3FCZmJmz5brYWGSfCQnAy++KLdpmx1rOncGDh2SioBff5UZmOHDqi++\nagAAIABJREFU9b+N997Lt5dD5BQ4A+Na3JTKv/+dbm5uyMens6n0H6Day3Bzkw3GvvlGzhR//DEw\nbZp8Qe/fP+svWSNHyoJkR9t93laGDAG++kq//uijEq8bN6RsJzkZ+PJLidmsWTywkPUaNZIyssuX\nc54AJyXJ7Km2Oeubb8qmtKtWAV26GDPenPjqK+no58plUzn16afA6NGyYa8rtFt/9llpAmMuMlLK\naS9elH23fv9dkpgzZ+R9mlGZvfnn0pgx+prImzfl5BAR6WrXBlavvn820xnNmydlpa7wWrKSVd7A\nGRgrmX+Z2LlT//n776VECpAPmO3b5U21YoWUm505k/ljJia69u7jWtndl1/KZWiobNB5/LgsLPX0\nlATuo4/0/QqIrNGvn5Qgbtsmie+aNfoMjeb2bdlfKD1tzdrdu9IcQGvn3bUrEBJi7Lizc+mSJP6h\nofptqalyFv7YMfuNy960Y4mrHCeuXJEGLpqNG6VJSq1awJw5UkJWo4bcV6VKxskLIO9hbQ2hNlMD\nMHkhyoirzMBMmSIVLdbst+fKmMBYqVw5ubx9W2qLNT176vuilCgBfPGF/LxunVxmtR9KUpLtyqcc\nsQZzyhQ5yzhkyP1fvlq1kvsBOaOavjzCUThiXF1FXmI7bJhspNq6tayPeOEF2QzWXKdO0vq7a1fL\n7oDa+hrt6UeMkC+NANCrV66HZBPaerrfftNvO3pUjiO9e8sXVmu42vtWS06zOiGUX2wR2+vXgUWL\nJFGZN0/ex4B8towaJbOC1szAeXhIsnvtmnTsc3au9r51JIyt86+B2bYNiIvT18dt354vT+uwmMBY\nado04N139cXEmRk2TPaW2LdPZhk2b5ZWl25uejcljavPwJQvDzz9tPwcECCXXbvK4unffrt/Q0wi\na7m5SWe7f/6RdrH9+wPPPy9lODNmAMuXy5f9ixflZMKpU/q/vXRJzmhrX/iaNdM3DLx82fokwQhr\n10pnPvNk7MMPpfvawYPAxInS+TAuzn5jtActgXGVZgt37sgMdPHiUi6olYJpe22ZrxfMTsGCjrPJ\nJ5EjK1fONi347aVFC/l805w4IZuhP6iYwFipb1/5ImGNtm1lWr9FCykN0GYXPvrI8vdsOQPjLH3I\nO3aU2ZecbN5pT84SV2eU19j6+EgDi19/BQYNki/1VaoA77wjM39KSUmYv7+suZo4UdakhYdn3Z3J\nlm1n4+OB/fut/93vvpOF2NoGtYCsfxg3Tn4ODQXKlpUTKdu2yZfXWrUkuTHnau/b5GT5/+IICYwt\nYnvnTsYnw7RE5EFNSFztfetIGFtZO3nokO0fNz9je+yYlD5ra182bsz9Y8XEyAlArQLB2TCBMVD6\nlsPTpgGff65ft2UC4wxSUvQ2n0S2FBRk+d7au1c2U/XxkdkLAJg8Wb7wr1+vzwiae+cdPXmJjAQm\nTcr7uFasAJo2vX/2VaOUlK0pJfs6tWghXdfc3YHBg2V/mpgYWR9x86ZlKdyQITKT9PDDMuPkylJS\ngOrVpYTs8mVZ1O+Mbt+W/bESEjI+idO5s7x3icj2Gjc2JoHJT6tWyZrAP/6QLq+//JL7xwoOlmYh\nP/5os+HlKyYwBtLKAj79FPjkE9kTxfyP5/p125WQOUN9qyPt5WAtZ4irs7J1bB95RP/5wgUpH/Pz\nk7UG2hqsp5+WXcwz6tzy0UcyQwjITM4HH+R9TNpGgwMHynR/evfuAT/8IGfkly4F2reXv5OdO+W/\nJ5+UBd8VKsjmhrt2SSIGyGuaOlXW4aX/UHa1921ysrSuv35dNnUcPdoymctPeYltvXoyY1agQMbH\nw4IFJeF9ULna+9aRMLaytUNuNhDPTn7FVluL/eST8hn11luybjI2NuPPl/TSN7rR1tmVLGnbceYX\nJ/xK6VwiImSR8KhRUt/877/ypWXHDlkfc/26vUdI5Bq0/ZSOHQM++0wSAK0UJyBA/1vUrmdk7lzg\np5/0dsrmHQdzavduYP58KXErUiTjWQOtfvnKFVkb1r27XK9cGejWTc7Wf/215c7sEyZIN66ZM2X2\npWlTOWuvdVdzRcnJ8iEbHa03YTh+PGePMXmyfWMUH69v2pv+iwQRGc/PT0py87KHmD0lJgJ9+sjs\nOyCdCs+cke+X1mxaW6iQNJpq3lxKrrWEyN4lq0pJtUIu/mH+yeenczjnzinl56cUoFSJEko1aKBU\ndLS9R0XkOq5dy/r++HilfvzRusdavlypRx/N3Tj++EP+zvv3l+srVyrVubP8HBOjVMOGMpaoKPk9\nk0kuk5L0x5g7V27bujX752veXKktW5Tq1EmpPXtyN2ZH9sYbSvXrJ/EAlCpXTqnp03P2GIBSK1YY\nMz5rn9/8PyLKX3Fx8rc3erS9R5I7Hh5K3bljeVvZskrVrCmvy9tbqYsXM/63CQmWx5+1a5Vq2lSp\ndu2U+uAD48eelStXZEyJifffl1XewBmYfFShgr7nxJ07sh6mbFn7jonIlWR3JqloUeCll6x7rObN\nZdF8TlpVTpkiLXHXr5frPj5y6eUltcrJydKh8PBhmTXRZmC0NaAFC+qPpTX/sObs2MMPAy1byn44\nQUGWe4K4guRk6dqlCQmRWTatjCw5WWawAPl4Tr//j9Y61V7NQ+xV7kZEOu3v/+hR+44jK7Gxsplx\nVJTl7UpJ9U76Y1hsrMzUz54NdOigb2ab3qlT0jikdGlg6FDpdHntmsxK2fv4dPOmXEZH5+zfMYHJ\nRwUKAA0ayM/Fikn7VlthfasxGFfjOHpsfX3lMicdWkJCpDR09mxZU6Ntcqv93e/erXcMmzjR8oCt\nJT2aJ58EXn1V9rvJjlYaB0gSs3KlyfpBOwGthAyQEsGAAGknPXw4cOCAdOJp00ZKQ6ZOlfbEmpQU\nSe60n/MqN+/ba9f0Lx4ffMCNJjPj6McEZ8bY6uuSbd0q35ax3bJFSsQqVdLHmZwsTWkKF75/7dzM\nmcDixZKUDB0q/z4jq1dLi/7r1+Uk18yZ0qzGz09K0+xJK+2dO9cymdI2MM4ME5h8tmOHnB0MCZG6\neCJyTAULypmh/fvvTy7MmUwym3r1qvxcoYLcPny4/kXaxwcYM0Ye59Ah+X2TSZIUQOqa27WzfNyS\nJYEFC6zrVFixonwoAdKIwNNT9rtxFSkpeoc481rvuXOlZf0778j1JUtkk7fUVPnAP3RIZruOHZMT\nRpl1gzPalSvSRS01VRJXbSaeiPLf1q1yLEh/PBg2TFrZ25N5grJwoVy+8op8hmQ0gzx4sNwPyLHw\n0qX7Z28AOS6ePCk/m3fI9fa2/wxMTIwc37/91nJLgJEjs/53TGDyWcGCkriYd0yyBfZ4Nwbjahxn\niO1DD8li+gMHMr5fKTm7P2KEvsFYeLj8l77DYJs2Mjtz6JD8G6VkI84tW2zzoblzp3SicXMDHnss\nGPPnyxdnV5CcLB+0tWvrH/Dffy+XgwbpXeb695fLokVllqNxY/lQT0mRWTBbJDC5ed9GR8uCWe0M\nMGXMGY4JzoqxFb//Lpd+fvdvdTF7tsx651RWsd29W+9GaQ3zkxsbNsjl8uVyDMxu5sjdXTpZ/vmn\nXDef4ffw0BfK16ih316kiGPMwDz/vJxkioyUmRelsm+ik6sEJioqCi1btkTdunVRr149zJo1679B\nxKBNmzaoWbMm2rZti5taYRsRkZN66CEpAWrZUs7qmzP/QjxjhmwK5umZcUeYRo2APXuka4x2f/36\n+vqXvHJ318vN6tWTUqWhQ23z2PaWnCz12+Hh+m3du0utuFbi9+yzcrl1q+UHfYsWMitWsqT9ZmCi\norjekcgRPPOMzIDHxclx5fRp/b6qVeVkhzUtia316KPS6j4zYWGSdGhu3JB1lNpaSW29jr9/9iVV\ngGwVsH69JE2+vpKcaEv3tcSlZk2ZCQZkht9eCczdu8DatbI9QOnS0lFz+3ZJtl59VdbtZCVXCUyh\nQoXw2Wef4dixYwgNDcWXX36J8PBwfPjhh2jTpg1OnjyJVq1a4UNrt66nPGN9qzEYV+M4S2xLlpQF\n4yaT5SaD167JXjNVq0rCkJ3SpfVSKFvt/5SZ+HgTAMumAM4sJUXfs0BToADw+uvyGm/flg/CW7ek\nLK9xY/mikpgoZzH37ZPEMjY272PJzft2zRr5IkNZc5ZjgjNibHVaO3NATihpEhKATp1yvjlkZrHV\n1tydPi2bEV+8eP/vHDkixyjt5MrNm8Bjj8nMcUCALDcoXlwSE2vUqCEz+2vXyvX9+6VpVMGCliVo\nWjJTuLD9Ssi2bpV4f/mlHM+bNdOrHRYtkrU9WclVAuPr64tGjRoBAEqUKIE6dergwoUL+PXXX9Gn\nTx8AQJ8+fbBmzZrcPDwRkcPQ9mDx9QXOn9dv9/GRM2ePPSYfQkePyoxAdlJTjRmnuYYN5VJrRODs\nkpOzTsZKlJAPQG2h/65dsv9OoUJSIlGkiCQw9piB2bZNOqR17Zr/z01E99P2PwEsS7ZiY+VklC32\n50tKkkTI11d+PncOyOicvnZMOnRInn/lSr3JR1KSbFaZkGD9ZpMlS8qeZ6NGyfUNGySB0jpianr2\nlBM8Hh56N8z8Zr6p6PvvA3XrWpaNafuxZSbP5+ciIyNx8OBBPPLII4iOjka5/94Z5cqVQ3QGPdH6\n9u2LypUrAwBKlSqFRo0apdUPalksr+f8enBwsEONx5WuaxxlPK5yXbvNUcaT2XU/P7keEGDC/v1A\n377a+E04exb45hu5fvWqCVevAhUqZP54clbN+PG//now/v3X9N/aEOOfz+jryclAeLgJJpN1v1+k\nyP33X7hg+q8kIX/H37KlXD9xwoQTJxwjno58XeMo43GV69ptjjIee16Xck4TvLyApUuD8dJLwMaN\nJty9C/j6BmPsWODiRRN69QKeeSb7xwsODr7v/i+/NGHECKBWrWC0bg0sW2bC8ePAjRvBKFUK2LpV\nfv/8efn9554z/VeiHAwvL3l8mTEOxiefAImJJnh4yPWsxlOrllzv1csEHx9g0qRgTJokr9f8+Kk9\nf/nywbhwwT7/PzZulHh37w4cPSr3e3gAjz9ugrd3JPr2RdbysvnM7du3VWBgoFq9erVSSqlSpUpZ\n3O/l5WX1hjRERI7o+HGpIB47VqnJk/Xby5VTasMGpVJT7Te2rPzyi1LPP2/vUdhGrVpK/f573h7j\njz+Uat3a8rZr15Q6fDj3j3nvnlLbt2d+f0qKvHcaN879cxCRbcXEyN9l+/b6xo7nzilVvrxSO3fq\nt/30U+6f46ef5DHKlpXNJwcOVKptW7nthx/032vVynIcgH6se/rpnG96e+eO/JsdO5SKjNQfc8uW\njH///Hm5f9cuub5sWfYbQudVaqo+rkOHsv7drPKGAtnkN5lKSkpCly5d0Lt3b3Tq1AmAzLpcvnwZ\nAHDp0iWU5arFfJP+7BXZBuNqHGeJba1asni8aFGZ5tbqmBMTZdGhI3aWMplMKF1a769vS6tWyYad\n+WXXLuDyZb0sLrcCA6W+WtvUEpDuPoMG5exxzN+3330HPPGELEbt1AlYtkz/vS++AKpVk3Fn1sWO\nLDnLMcEZMbY6rURLa78OSIvhihWlJFhz9qysSUnfvCW99LG9ckXfTLh5c1nD0r277FcFyPHi0iUp\n49q5U1oha2rX1vcINO8WZq1ixYBvvpE1d//7n4z9yhXAbCLOQoUKstZE20vs5ZelbM0We2aZU0o+\nK5ct0ztJ1q0rjWxyK1cJjFIKAwYMQEBAAIYPH552e8eOHbH4v1U3ixcvTktsiIicWe3asobhiSeA\nXr3kYJyYaPxi/LwoU8Y2tdzmYmOlrfT778tjr1hh/ALQuXMlYfL3z9vj+PpKQmdehx4eLp3hcrMv\ny/79eoJYq5Ysmu3dWxYFx8TIPkCRkdJAgIgch5ubHMMrVpTr7u7A11/LSQhzf/8tx3utPbu1tBMW\nX38ta1oAfS0lIMfODz+UEyiFCgGPPy63L18uxyQvL7n+8ceyv1hOX1v//nqSULLk/etf0uvWDQgN\nlfEC0qK+YEFg9Gj9d06csDz5Y43QUBnPnj36HjQLFshl4cLSbKBArqdRkLuaru3btys3NzfVsGFD\n1ahRI9WoUSO1bt06df36ddWqVStVo0YN1aZNG3Xjxg2rp4KIiBxdcrJSNWootW+fUoUKSQmRo7p4\nUcrcbGXZMqVWr1bqsceU6ttXLwFYvVqpxETbPU96bdpIqZ4taGPWPPWUUiVLKrVkiVL//KNUdLR1\nj3P2rDzO6NFyWbeulKg9/LBSa9cq9dlnSjVooNSRI7YZNxHZ3r17Sr39tlJVqsjf8YULcvuxY3Jc\n044XhQtLOZa1FixQql8/y9tSU5W6elWpRYssy8Xq1pX7/fyU2rbNNq8rN7Tx+PsrFRKiVI8ecn3l\nSimTBeS4tnevUrdu5ewx58yRz40CBZRyd5fjbnalY/pjZJ435GoRf/PmzZGaSSudv/76Kw/pFBGR\n43J3l5Kgo0dl5qFQIXuPKHNaCdnkyUDHjrIPTV4MHy6to7t2tWwb/cILwLvvZtxhxxZu3bK+A092\nduyQWJw5IzM64eFA3776TtaAdImztixw40bZLXvAALm+axcwYYKcWfz7b+vaaxORfRQuLLMcFSrI\nrIjWXjkgQPZtevllKb9SSjpm/e9/1j1uTIzMgJtzc5PNePv2lRmSQYOAefOAOnXk/iVLgKAgm720\nHHv3XWk//+KLMtaWLWVGqFs3/Xe0MrOJE2WfscykplrupTNvnnTqvHRJZpRq1bJN9UJeJm/IgbC+\n1RiMq3GcNbZHjsiHUKFCjrn+BZDYFikiSdbEiVIakdX0/9Kl+hR/ZrR2nykpUrN99Ki+0djevZZ7\nHMTF6Ruw5VVsrO0SmMBAeR1Vq0r9e2ws0KqV3KfViK9dC/zwQ+ZlZSaTKW1DuWLFgJde0u8bPFiS\nlyZN9LIQsp6zHhOcAWObubfekhM95ry95bi4YYNs/Gi+X0x6WmyvXJHPhNu3pW17Rtzc5Ljz+edy\njFy4UG5v3VravdvLhx/Kscz8M+30aX3/LW09TnBw1htfJidLghIQIOtwBg+Wz8zgYCnjrV/fdqXX\nTGCIiHIgJEQu7bX5V0499ZRsZHbpUub9/l95BRg5MuP7UlJkB2htUWeNGvLFvW5doHp1WWC/ZYsk\nBcnJ8uFdrpx8UCUnS+KUk1hdvKif6UtKAqKjLevH88LDQ8YOyOaStWrpH8xbtgDz5wOdOwOvvSb3\nZyYhQS7HjpU9aDTlywPDhskCfiJyDVWqyN4q2dHWHF69mnkCA8h9Hh5yDLXVsc0I1arJMXjZMuDP\nP2Vfm9dek+Ylhw5l/G9OntSToLp1ZQ2jp6cxr9PtvxqzfOHm5oZ8fDoiIkM89xzw++85X9SY3y5d\nklKytm2lJGLVKpnar1lT/51z56Q0okMHOWvWrZskDR07yv1Nmsii0gMHpIyiXLn7z6CFhwPt2ski\n9qNH5azdH3/ImbrAQFmouWiRlFRlN2v1009yJvDiRUmOevSQx7fVbFedOsDx4/LztGmShGgSEmRX\n6H//lcYNw4Zl/Bh798ompteuOe4sHBHZxi+/yKaK8+ZJuag2K2Huq6+AoUP1jYpnzLBcBO8qIiKk\no1pUlJykeucdmT3SbNwoZXmbNwOvviqL9pOT5QRYbmaYssobOANDRJRDI0ZIRzJH5+cnHxoNGkjy\n8vDDkqB07oy0Mqjt2yVxWbcO+PRTmfJ//nn5AN68WRKXzZslaalYMePp/zp1gOnT5Xd//VWSANlE\nU27bt0/GoI0jKzdvyuXMmcD58zLLY8skQXvdADBmjOV9Hh6yg3WpUnrJXEYSEiRmTF6IXN9/e69j\n0KDMS8mGDNGTF09POXHkiqpWla5iJ04AmzYBbdpIgqI5f17WF65dq6+TKVjQmPI4JjAugvWtxmBc\njePMsX3qKWDbNnuPInPpY/vhh1LesHOnlADs26eXjG3eDPTrJz83bw4cPCg/m59Z8/bOvMRM8/LL\nsv9Ay5aSOFWvLo8VESElBz//LM/drRswZ46crczI+fNy+cknQJ8+me9fkFvTpwNTp0oSl1kLT0/P\nzBOYLVtMmDkz47OwlDfOfExwdIxt7tWoISdfgIzLYbdsMaX9PH26rHHJaetlZ2O+LlFrZnPpkiQt\nZcrIDH6FCsaOIVddyIiIyHkULy7/AcAbb8hGaYGBslD9jz/kC/2bb8oGa6NGSeLg7y+zFVOnAh99\nZN0+LOXL62uEAL3zWZUqcqkU8O238lwAMGvW/UnEwYPA//0f8N57Urpm6zKM7t2z/52SJWVx7eDB\n93ceiouT9THaWhoicm2enlI+27ixHCPTS0iQmem4OJlteFCsXi1dKDWDB0tpWXb7ztgK18AQET1g\noqOlIwwgMydLl+bfc0dEyOJQQGZ5pk7Vz+BFRUmb6hMnpMNZ6dKyFiW/RUUBlSrJAv3oaMtkJTJS\nkr+9e/XXQUSur1kz2VTXx0efkQFk1vjRR/XZ4wfFjRsyax8WJsftw4fvX2OZV1wDQ0REaXx8ZJYh\nLCx/kxdAaqjPnZMPur//li41milTpLTMx0e+LNgjeQFkrY9SkqikLxW8dUtmo5i8ED1YUlKkrLZh\nQ7m+dauUi508KevmHjReXvpaR63tvDUz9bbCBMZFsL7VGIyrcRhb42QX2wIF5Iu4tolafqtYUc7S\njRwpi/W1tsTamUxHERQk64bMmUwmh2596sx4TDAOY5t32t5WRYvKni89e0p74GefNeGRR+w7Nnu6\nfl2atUyfnr+ltUxgiIjILp55Rhb7f/ihXL9923JfFXvr3Bn4/nvpMKS5c+fBPNtK9KArW1ZO+gQF\nSTv5ixelCcqvv0oDkwdV6dKycP+99/L3ebkGhoiI7GbrVpmJGTdO1uP8/beUbjmCpCQpk4iLk/ru\nBg2AJUtkr4Nly+w9OiLKT6dPy3q9lSuBt9+W2/iV1lhcA0NERA7J11fKDyZNkg4/jjQDU6iQ7Ko9\ndSrQq5eccb1+nTMwRA+i6tWlK+Ho0bL3ibbvC9kHExgXwfpWYzCuxmFsjeNMsfXzk8uPP5ZLLy/7\njSUjRYsCY8fKRmwVKgAjR5oM2ZSNnOt962wYW9tyd9c3smVs7eMB6lhNRESOpmRJYMMGoEULxy3H\ncHMDZswAdu+W/XR69bL3iIiIHmxcA0NERERERA6Fa2CIiIiIiMglMIFxEazBNAbjahzG1jiMrXEY\nW+MwtsZhbI3D2NoHExgiIiIiInIaXANDREREREQOhWtgiIiIiIjIJTCBcRGswTQG42ocxtY4jK1x\nGFvjMLbGYWyNw9jaBxMYIiIiIiJyGlwDQ0REREREDoVrYIiIiIiIyCUwgXERrME0BuNqHMbWOIyt\ncRhb4zC2xmFsjcPY2gcTGCIiIiIichpcA0NERERERA6Fa2CIiIiIiMglMIFxEazBNAbjahzG1jiM\nrXEYW+MwtsZhbI3D2NoHExgiIiIiInIaXANDREREREQOhWtgiIiIiIjIJTCBcRGswTQG42ocxtY4\njK1xGFvjMLbGYWyNw9jaBxMYIiIiIiJyGlwDQ0REREREDoVrYIiIiIiIyCUwgXERrME0BuNqHMbW\nOIytcRhb4zC2xmFsjcPY2gcTGCIiIiIichpcA0NERERERA6Fa2CIiIiIiMglMIFxEazBNAbjahzG\n1jiMrXEYW+MwtsZhbI3D2NoHExgXcejQIXsPwSUxrsZhbI3D2BqHsTUOY2scxtY4jK192DyBWb9+\nPWrXro0aNWrgo48+svXDUyZu3rxp7yG4JMbVOIytcRhb4zC2xmFsjcPYGoextQ+bJjApKSkYOnQo\n1q9fj7CwMCxfvhzh4eG2fAoiIiIiInqA2TSB2bNnD6pXr47KlSujUKFC6N69O9auXWvLp6BMREZG\n2nsILolxNQ5jaxzG1jiMrXEYW+MwtsZhbO3Dpm2UV61ahQ0bNmDBggUAgGXLlmH37t2YPXu2PJmb\nm62eioiIiIiIXFhmaUpBWz5JdgkK94AhIiIiIqK8sGkJWYUKFRAVFZV2PSoqCv7+/rZ8CiIiIiIi\neoDZNIFp2rQpTp06hcjISCQmJmLFihXo2LGjLZ+CiIiIiIgeYDYtIStYsCDmzJmDdu3aISUlBQMG\nDECdOnVs+RRERERERPQAs+kifso/KSkpcHd3t/cwiKySlJSEQoUK2XsYLuv27dvw9PSEUorNUmyM\nMTVOamoqChTgftq2lpiYiMKFC9t7GC6L378cA48cTuTIkSP45JNPAIB/PDa2e/duvPfee0hNTbX3\nUFzKrl27MHDgQOzdu9feQ3FJ+/fvR5cuXbBw4UIA7PRoKwcPHsSCBQtw6dIlxtTGwsLCsH37dgBg\n8mJju3btQrdu3TB69GiEhYUhJSXF3kNyGTt37sSECRMA8PuXo+DRw4mMGzcO48aNg8lkAgAenGwg\nNjYWQ4YMwdChQ1GxYkUUKFCASYyNLFiwAAMHDkTjxo3RuHFjvl9tKCYmBkOHDsUbb7yBI0eOpMU2\nOTnZziNzbklJSXjttdcwYMAAmEwmjB8/HqGhofYelktITk7GoEGD0KNHD8yaNQsff/wx9u3bB4Ad\nSm3hypUrGDp0KJ5++mmUKVMGX3zxBRYtWmTvYbmExYsXo0+fPpg2bRpWrFgBgMdaR8AExgloX06e\neOIJDBs2DOPHjwcgZwH4ZTtvpk2bht27d2Pjxo0YMmQIAJ4VzCvty8i5c+cwffp0DBkyBEWLFuVZ\nKxsaNWoUChQogNDQUCxcuBBLly4FIOsQKff279+P69ev48CBA/j++++RmpoKb29vew/LJRw9ehQ3\nb97E4cOH8dVXX6Fw4cL4/PPPER8fz1kuGzh06BBq1qyJfv36YfTo0ejcuTPWrl2LkydP2ntoTq98\n+fIICQnB+vXrMXr0aAByrGXibV/8puagzpw5g4SEBABImxXYsGEDXnvtNfj4+KSVjPCfwSmGAAAN\nsElEQVTLds6dOXMGcXFxAIA+ffrAx8cHV69exapVqzBq1Cj8+OOPOHv2rJ1H6XzOnDmDe/fuwc3N\nDTExMTh69CgefvhhhISEoF27dpg+fTp+/vlnADzjmhtnzpxBfHw8AGDOnDmYNWsWAMDHxwcBAQE4\nfvy4PYfntM6cOYO7d+8CkOPpmjVrcOvWLfz8888IDQ1FSEgIDhw4YOdROifz2MbFxeHQoUNITk6G\nt7c3ihQpgrCwsLTPMsqZH374Ae+//z7Wrl0LAGjcuDH27duH06dPo3jx4mjatCmaNGmCr7/+2s4j\ndT7pY/vUU0/Bz88Pbdu2xf/+97+0UjLOwtgXv/06mDNnzqBDhw4YMGAAevXqhRMnTgCQD9aGDRvC\n398fEyZMwIwZM9C1a1eLfXcoa+axfeWVVxAWFoaAgAA0b94cbdu2xZw5c1C7dm389NNPmDFjBs6f\nP2/vITsF87j27NkTYWFhKF26NEqXLo1evXphzZo1GDJkCPz8/DBlyhQcPnwYbm5uTGKsZB7f3r17\n48SJEyhevHja/W5ubrh48WLabYyrdczj+vLLL+PYsWMICgrC//3f/2HkyJF4/fXXMXbsWJw7dw4T\nJ07kmewcSB/b48ePo0GDBmjevDkGDx6MiIgIhIaGolOnTjhw4ACuXbtm7yE7DaUUvvrqK8yYMQOV\nK1fG22+/jYULF8LT0xO9e/dOO7Hh5eWF1q1bIz4+HpcuXbLzqJ1DRrFdtGgR4uLi0ma3v/76a3zx\nxReIjo5mYxo7YwLjYD799FMEBQUhJCQELVu2xPjx43Hy5Encu3cPV65cQWRkJL7//ntER0fjypUr\nqFixIs8CWCl9bCdMmICIiAi8/fbbmDRpEkwmEwYOHIipU6ciLi4OERER9h6yU8joPRsREYFJkybh\n6NGj8PX1xfPPP49+/frh6aefTjurxbIR62QU32PHjqXdX7t27bSZA7JeRseDEydO4J133oGnpyeW\nL1+O3r17Y/jw4ahSpQp27Nhh7yE7DfPYBgcHY+LEibhw4QKmTJkCDw8PDBs2DIGBgejYsSNSUlLg\n5eVl7yE7DTc3N4SGhuLdd99F//79MXfuXJhMJmzevBnPPvssTp8+jU2bNqFAgQIoU6YMLly4gIce\nesjew3YKGcV28+bN2L59O5RSUEqhXr166NatG8aMGQMAWLdunZ1H/eBiAuMAtCl2LRGpW7cuAGDo\n0KHYs2cPvv32W1y+fBkFCxZEUFAQ7ty5g5CQEJw7dw7//PMP696zkFVs9+3bh3nz5iEuLg59+vRJ\nO3MdEBCAy5cvo1KlSvYZtBPIKq779+/H/Pnz4ePjg1dffTWtbAyQhabNmjXL/wE7meyOCdpJDE23\nbt1w5coVpKSkMDHMQnbv20WLFiEpKQnFihXDL7/8AgDw9vbG+fPnERAQYJ9BO4nMYvvmm28iNDQU\n3377LYoVK4bZs2fj559/xltvvYWaNWsiJiYmrTSSMrZkyRJs3boVMTExAIA6dergwoULSE5ORuvW\nrVG3bl3s2rULZcqUQY8ePTBixAicPn0aISEhUEohMTHRzq/AcWUX2/r16+Pvv/9GVFRU2rH1m2++\nweLFi+Hl5YXDhw9z1ttO3D/44IMP7D2IB9WmTZswaNAgHDx4EHfu3EH9+vWxa9cuXLx4ET4+PoiO\njk7rMNS0aVP4+/tjzJgx6Nu3L/z8/FCmTBnUrl2bZ1cyYG1sExMT0aRJE/j4+MDNzQ1r167FkCFD\nUKlSJXTu3BlFihSx90txKNbG9d69ewgMDMSLL76IDRs24ODBgxg/fjzc3d3Rr18/eHp62vulOKSc\nvG8ffvhh+Pj4AADWrl2L8+fPo3PnznZ+BY4pJ3GtV68eGjZsiGnTpuH8+fOYPHkyvLy80LNnT4vS\nPRI5iW1gYGDae/b3339Hnz590KJFC7Rt25aJdzpKKVy6dAnPPfccDh8+jAsXLmDNmjVo3bo1Ll++\njMjISFSqVAne3t7w9/fH0qVLERQUhPbt2+PWrVv47bffYDKZMGvWLFSsWNHeL8eh5DS2y5YtQ1BQ\nEPz8/BAREYEBAwbAx8cHq1atQufOnfnetRdFdnHq1CkVFBSk1qxZo/bv369eeukl9eWXX6rY2Fg1\nefJk9cwzz6hmzZqpPXv2pN2nSU5OVikpKXYcvWPLSWx79OihZs+erZRSaseOHapx48Zq9erVdn4F\njimncZ05c6ZSSqlbt26psLAwtWHDBju/AseW0/jOmjUr7d/++++/6s8//7Tj6B1XTuLavXv3tLj+\n888/6rvvvuPxIAu5fc8eP35cde7cWf388892fgWOKSkpSSklcerZs2fabYMHD1a9e/dW9+7dU/37\n91eLFy9WN2/eVEop9corr6ixY8emPUZCQkL+D9wJ5Da2EyZMUEopdePGDRUaGmqfwZMF1h7lI63l\nsdb+tEmTJnj++ecBAG3atMGoUaPQtWtXTJgwAf/++y+qVasGAGjevHnarrpKKbajzUBuY9usWTN4\neHik/cxuQ5ZsEVdPT0/UqVMHderUsc+LcGC2iG9qaiqqVq2KqlWr2udFOKDcxvXxxx9Pi2v9+vVR\nv359+7wAB2aL92ytWrUsSktJpKSkYPz48UhNTUWHDh1w+/bttBLxggULYvbs2fDz80NYWBh69OiB\n1atX4/z58xg7dizc3d3x2GOPpT0Wqwcs5TW2QUFBAIBSpUrhkUcesedLof9wDUw+WbRoESpUqJC2\nh0uDBg2wfPlynDlzBoDUDVerVg0jRowAAFSpUgUAMG/ePCxatAiBgYEAuPA5I7aKLVnie9ZYtoov\nW6lb4vHAOIytcbZu3YomTZrg5s2bqF69OiZMmIBChQphy5Yt2LNnDwDZ+23ixIl499130bp1awwa\nNAg7duzAI488ghs3biA4ONi+L8JBMbYuyt5TQA+C27dvq44dO6rPPvtMNWrUSIWHhyullHrrrbfU\nSy+9pJo1a6Z69uyp/vnnH9WhQwd1+fJllZqaqmbOnKmaNm2qdu/ebedX4LgYW2MwrsZifI3BuBqH\nsTXW1q1b1ZIlS9Kuv/7662ru3Llq0aJFKjAwUCkl5eOXLl1SXbp0UREREUoppWJiYtT58+ftMmZn\nwdi6JiYw+eTs2bNKKaXeffdd9eKLLyql5A/m2rVratu2bWm/06dPn7Ta1Tt37thnsE6GsTUG42os\nxtcYjKtxGFvjxMfHq7t376rk5GSllFLLli1TY8aMUUop1bBhQ/XFF18opZTau3ev6t69u93G6YwY\nW9fE2oN8orXkHT58OCIiIrBhwwa4u7ujVKlSeOKJJwDINHvRokXT1riw4411GFtjMK7GYnyNwbga\nh7E1TtGiReHh4ZEWt02bNsHb2xuAlO6Fh4fjmWeeQY8ePViKl0OMrYuydwb1IPr666/VE088kXZ9\n9+7d6rnnnlMdOnRQFy9etOPInB9jawzG1ViMrzEYV+MwtsZISkpSycnJqn379urUqVNKKen2FhMT\no7Zv366ioqLsPELnxdi6FjeluANPflJKwc3NDV26dEH58uVRuHBhtG7dGjVq1ED16tXtPTynxtga\ng3E1FuNrDMbVOIytsRISEjBw4EC88MIL+Oabb+Dt7Y3Zs2ejZMmS9h6a02NsXQdLyPKZm5sb4uPj\nceXKFSxfvhyVKlVChw4deNC3AcbWGIyrsRhfYzCuxmFsjXXw4EF8//33mDlzJjp37ozFixfzC7aN\nMLaug/vA2MFXX32FwMBA/PXXX+zVbmOMrTEYV2MxvsZgXI3D2BqnYsWKmDp1KkaPHp22BxzZBmPr\nOlhCZgepqancu8EgjK0xGFdjMb7GYFyNw9gSkT0xgSEiIiIiIqfB0ydEREREROQ0mMAQEREREZHT\nYAJDREREREROgwkMERHZnLu7Oxo3box69eqhUaNGmDlzJrJbcnn27FksX748n0ZIRETOigkMERHZ\nXLFixXDw4EEcPXoUmzZtwrp16zBp0qQs/82ZM2fwww8/5NMIiYjIWTGBISIiQ/n4+GD+/PmYM2cO\nACAyMhJPPvkkmjRpgiZNmmDXrl0AgDFjxmD79u1o3LgxvvjiC6SmpuLtt99GUFAQGjZsiPnz59vz\nZRARkYNgG2UiIrI5T09P3L592+I2Ly8vnDx5EiVKlECBAgVQpEgRnDp1Cj179sTevXuxdetWfPLJ\nJ/jtt98AAPPnz8fVq1cxbtw43Lt3D82bN8fKlStRuXJlO7wiIiJyFAXtPQAiInqwJCYmYujQoTh8\n+DDc3d1x6tQpALhvjczGjRtx5MgRrFq1CgAQGxuL06dPM4EhInrAMYEhIiLDRUREwN3dHT4+Pvjg\ngw/g5+eHpUuXIiUlBR4eHpn+uzlz5qBNmzb5OFIiInJ0XANDRESGunr1Kl5//XW8+eabAGQmxdfX\nFwCwZMkSpKSkALi/7Kxdu3aYO3cukpOTAQAnT55EfHx8Po+eiIgcDWdgiIjI5u7evYvGjRsjKSkJ\nBQsWxCuvvIIRI0YAAIYMGYIuXbpgyZIlaN++PUqUKAEAaNiwIdzd3dGoUSP069cPw4YNQ2RkJAID\nA6GUQtmyZbF69Wp7viwiInIAXMRPREREREROgyVkRERERETkNJjAEBERERGR02ACQ0REREREToMJ\nDBEREREROQ0mMERERERE5DSYwBARERERkdP4f8zqlIXrpTHbAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Simplest possible algorithm: Always buy apple"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class BuyApple(TradingAlgorithm): # inherit from TradingAlgorithm\n",
      "    def handle_data(self, data): # overload handle_data() method\n",
      "        self.order('AAPL', 1) # stock (='AAPL') to order and amount (=1 shares)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "my_algo = BuyApple() # Instantiate our algorithm\n",
      "results_buy_apple = my_algo.run(data) # Backtest algorithm on dataframe."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:06] INFO: Performance: Simulated 2268 trading days out of 2268.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:06] INFO: Performance: first open: 1993-01-04 14:30:00+00:00\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:06] INFO: Performance: last close: 2001-12-31 21:00:00+00:00\n"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "results_buy_apple.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>capital_used</th>\n",
        "      <th>cumulative_capital_used</th>\n",
        "      <th>ending_cash</th>\n",
        "      <th>ending_value</th>\n",
        "      <th>max_capital_used</th>\n",
        "      <th>max_leverage</th>\n",
        "      <th>period_close</th>\n",
        "      <th>period_open</th>\n",
        "      <th>pnl</th>\n",
        "      <th>portfolio_value</th>\n",
        "      <th>positions</th>\n",
        "      <th>returns</th>\n",
        "      <th>starting_cash</th>\n",
        "      <th>starting_value</th>\n",
        "      <th>transactions</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-04 21:00:00</strong></td>\n",
        "      <td>  0.000000</td>\n",
        "      <td>  0.000000</td>\n",
        "      <td> 100000.000000</td>\n",
        "      <td>   0.00</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-04 21:00:00+00:00</td>\n",
        "      <td> 1993-01-04 14:30:00+00:00</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 100000.000000</td>\n",
        "      <td>                                                []</td>\n",
        "      <td> 0.000000</td>\n",
        "      <td> 100000.000000</td>\n",
        "      <td>   0.00</td>\n",
        "      <td>                                                []</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-05 21:00:00</strong></td>\n",
        "      <td>-59.280006</td>\n",
        "      <td> 59.280006</td>\n",
        "      <td>  99940.719994</td>\n",
        "      <td>  59.25</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-05 21:00:00+00:00</td>\n",
        "      <td> 1993-01-05 14:30:00+00:00</td>\n",
        "      <td>-0.030006</td>\n",
        "      <td>  99999.969994</td>\n",
        "      <td> [{'amount': 1, 'last_sale_price': 59.25, 'cost...</td>\n",
        "      <td>-0.000000</td>\n",
        "      <td> 100000.000000</td>\n",
        "      <td>   0.00</td>\n",
        "      <td> [{'commission': 0.03, 'price': 59.280005925000...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-06 21:00:00</strong></td>\n",
        "      <td>-61.780006</td>\n",
        "      <td> 61.780006</td>\n",
        "      <td>  99878.939988</td>\n",
        "      <td> 123.50</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-06 21:00:00+00:00</td>\n",
        "      <td> 1993-01-06 14:30:00+00:00</td>\n",
        "      <td> 2.469994</td>\n",
        "      <td> 100002.439988</td>\n",
        "      <td> [{'amount': 2, 'last_sale_price': 61.75, 'cost...</td>\n",
        "      <td> 0.000025</td>\n",
        "      <td>  99940.719994</td>\n",
        "      <td>  59.25</td>\n",
        "      <td> [{'commission': 0.03, 'price': 61.780006175000...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-07 21:00:00</strong></td>\n",
        "      <td>-61.030006</td>\n",
        "      <td> 61.030006</td>\n",
        "      <td>  99817.909982</td>\n",
        "      <td> 183.00</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-07 21:00:00+00:00</td>\n",
        "      <td> 1993-01-07 14:30:00+00:00</td>\n",
        "      <td>-1.530006</td>\n",
        "      <td> 100000.909982</td>\n",
        "      <td> [{'amount': 3, 'last_sale_price': 61.0, 'cost_...</td>\n",
        "      <td>-0.000015</td>\n",
        "      <td>  99878.939988</td>\n",
        "      <td> 123.50</td>\n",
        "      <td> [{'commission': 0.03, 'price': 61.0300061, 'dt...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-08 21:00:00</strong></td>\n",
        "      <td>-62.280006</td>\n",
        "      <td> 62.280006</td>\n",
        "      <td>  99755.629976</td>\n",
        "      <td> 249.00</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-08 21:00:00+00:00</td>\n",
        "      <td> 1993-01-08 14:30:00+00:00</td>\n",
        "      <td> 3.719994</td>\n",
        "      <td> 100004.629976</td>\n",
        "      <td> [{'amount': 4, 'last_sale_price': 62.25, 'cost...</td>\n",
        "      <td> 0.000037</td>\n",
        "      <td>  99817.909982</td>\n",
        "      <td> 183.00</td>\n",
        "      <td> [{'commission': 0.03, 'price': 62.280006225, '...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "                     capital_used  cumulative_capital_used    ending_cash  \\\n",
        "1993-01-04 21:00:00      0.000000                 0.000000  100000.000000   \n",
        "1993-01-05 21:00:00    -59.280006                59.280006   99940.719994   \n",
        "1993-01-06 21:00:00    -61.780006                61.780006   99878.939988   \n",
        "1993-01-07 21:00:00    -61.030006                61.030006   99817.909982   \n",
        "1993-01-08 21:00:00    -62.280006                62.280006   99755.629976   \n",
        "\n",
        "                     ending_value  max_capital_used  max_leverage  \\\n",
        "1993-01-04 21:00:00          0.00                 0             0   \n",
        "1993-01-05 21:00:00         59.25                 0             0   \n",
        "1993-01-06 21:00:00        123.50                 0             0   \n",
        "1993-01-07 21:00:00        183.00                 0             0   \n",
        "1993-01-08 21:00:00        249.00                 0             0   \n",
        "\n",
        "                                  period_close                period_open  \\\n",
        "1993-01-04 21:00:00  1993-01-04 21:00:00+00:00  1993-01-04 14:30:00+00:00   \n",
        "1993-01-05 21:00:00  1993-01-05 21:00:00+00:00  1993-01-05 14:30:00+00:00   \n",
        "1993-01-06 21:00:00  1993-01-06 21:00:00+00:00  1993-01-06 14:30:00+00:00   \n",
        "1993-01-07 21:00:00  1993-01-07 21:00:00+00:00  1993-01-07 14:30:00+00:00   \n",
        "1993-01-08 21:00:00  1993-01-08 21:00:00+00:00  1993-01-08 14:30:00+00:00   \n",
        "\n",
        "                          pnl  portfolio_value  \\\n",
        "1993-01-04 21:00:00  0.000000    100000.000000   \n",
        "1993-01-05 21:00:00 -0.030006     99999.969994   \n",
        "1993-01-06 21:00:00  2.469994    100002.439988   \n",
        "1993-01-07 21:00:00 -1.530006    100000.909982   \n",
        "1993-01-08 21:00:00  3.719994    100004.629976   \n",
        "\n",
        "                                                             positions   returns  \\\n",
        "1993-01-04 21:00:00                                                 []  0.000000   \n",
        "1993-01-05 21:00:00  [{'amount': 1, 'last_sale_price': 59.25, 'cost... -0.000000   \n",
        "1993-01-06 21:00:00  [{'amount': 2, 'last_sale_price': 61.75, 'cost...  0.000025   \n",
        "1993-01-07 21:00:00  [{'amount': 3, 'last_sale_price': 61.0, 'cost_... -0.000015   \n",
        "1993-01-08 21:00:00  [{'amount': 4, 'last_sale_price': 62.25, 'cost...  0.000037   \n",
        "\n",
        "                     starting_cash  starting_value  \\\n",
        "1993-01-04 21:00:00  100000.000000            0.00   \n",
        "1993-01-05 21:00:00  100000.000000            0.00   \n",
        "1993-01-06 21:00:00   99940.719994           59.25   \n",
        "1993-01-07 21:00:00   99878.939988          123.50   \n",
        "1993-01-08 21:00:00   99817.909982          183.00   \n",
        "\n",
        "                                                          transactions  \n",
        "1993-01-04 21:00:00                                                 []  \n",
        "1993-01-05 21:00:00  [{'commission': 0.03, 'price': 59.280005925000...  \n",
        "1993-01-06 21:00:00  [{'commission': 0.03, 'price': 61.780006175000...  \n",
        "1993-01-07 21:00:00  [{'commission': 0.03, 'price': 61.0300061, 'dt...  \n",
        "1993-01-08 21:00:00  [{'commission': 0.03, 'price': 62.280006225, '...  "
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "results_buy_apple.portfolio_value.plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0xe778aac>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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Lw69//Wtb47kOEREREZEpREUBhw7J1mIBLr0UKCpyfE5trYwzuuIKWXfol78E1q4FEhOB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\nB0lEQVRv/R+Y2C0YtzyCxgAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "A classic: Dual Moving Average crossover strategy."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from zipline.transforms import MovingAverage\n",
      "\n",
      "class DualMovingAverage(TradingAlgorithm):\n",
      "    \"\"\"Dual Moving Average Crossover algorithm.\n",
      "\n",
      "    This algorithm buys apple once its short moving average crosses\n",
      "    its long moving average (indicating upwards momentum) and sells\n",
      "    its shares once the averages cross again (indicating downwards\n",
      "    momentum).\n",
      "\n",
      "    \"\"\"\n",
      "    def initialize(self, short_window=200, long_window=400):\n",
      "        # Add 2 mavg transforms, one with a long window, one\n",
      "        # with a short window.\n",
      "        self.add_transform(MovingAverage, 'short_mavg', ['price'],\n",
      "                           window_length=short_window)\n",
      "\n",
      "        self.add_transform(MovingAverage, 'long_mavg', ['price'],\n",
      "                           window_length=long_window)\n",
      "\n",
      "        # To keep track of whether we invested in the stock or not\n",
      "        self.invested = False\n",
      "\n",
      "        # On each day, snapshot these variables and include them\n",
      "        # in the output.\n",
      "        self.record_variables(['short_mavg', 'long_mavg', 'buy', 'sell'])\n",
      "\n",
      "    def handle_data(self, data):\n",
      "        self.short_mavg = data['AAPL'].short_mavg['price']\n",
      "        self.long_mavg = data['AAPL'].long_mavg['price']\n",
      "        self.buy = False\n",
      "        self.sell = False\n",
      "\n",
      "        if self.short_mavg > self.long_mavg and not self.invested:\n",
      "            self.order('AAPL', 100)\n",
      "            self.invested = True\n",
      "            self.buy = True\n",
      "        elif self.short_mavg < self.long_mavg and self.invested:\n",
      "            self.order('AAPL', -100)\n",
      "            self.invested = False\n",
      "            self.sell = True"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dma = DualMovingAverage()\n",
      "results = dma.run(data)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:40] INFO: Transform: Running StatefulTransform [short_mavg]\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:40] INFO: Transform: Running StatefulTransform [long_mavg]\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:41] INFO: Transform: Finished StatefulTransform [long_mavg]\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:41] INFO: Transform: Finished StatefulTransform [short_mavg]\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:41] INFO: Performance: Simulated 2268 trading days out of 2268.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:41] INFO: Performance: first open: 1993-01-04 14:30:00+00:00\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:41] INFO: Performance: last close: 2001-12-31 21:00:00+00:00\n"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "results.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>buy</th>\n",
        "      <th>capital_used</th>\n",
        "      <th>cumulative_capital_used</th>\n",
        "      <th>ending_cash</th>\n",
        "      <th>ending_value</th>\n",
        "      <th>long_mavg</th>\n",
        "      <th>max_capital_used</th>\n",
        "      <th>max_leverage</th>\n",
        "      <th>period_close</th>\n",
        "      <th>period_open</th>\n",
        "      <th>pnl</th>\n",
        "      <th>portfolio_value</th>\n",
        "      <th>positions</th>\n",
        "      <th>returns</th>\n",
        "      <th>sell</th>\n",
        "      <th>short_mavg</th>\n",
        "      <th>starting_cash</th>\n",
        "      <th>starting_value</th>\n",
        "      <th>transactions</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-04 21:00:00</strong></td>\n",
        "      <td> False</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> 58.2500</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-04 21:00:00+00:00</td>\n",
        "      <td> 1993-01-04 14:30:00+00:00</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> []</td>\n",
        "      <td> 0</td>\n",
        "      <td> False</td>\n",
        "      <td> 58.2500</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> []</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-05 21:00:00</strong></td>\n",
        "      <td> False</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> 58.7500</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-05 21:00:00+00:00</td>\n",
        "      <td> 1993-01-05 14:30:00+00:00</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> []</td>\n",
        "      <td> 0</td>\n",
        "      <td> False</td>\n",
        "      <td> 58.7500</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> []</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-06 21:00:00</strong></td>\n",
        "      <td> False</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> 59.7500</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-06 21:00:00+00:00</td>\n",
        "      <td> 1993-01-06 14:30:00+00:00</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> []</td>\n",
        "      <td> 0</td>\n",
        "      <td> False</td>\n",
        "      <td> 59.7500</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> []</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-07 21:00:00</strong></td>\n",
        "      <td> False</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> 60.0625</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-07 21:00:00+00:00</td>\n",
        "      <td> 1993-01-07 14:30:00+00:00</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> []</td>\n",
        "      <td> 0</td>\n",
        "      <td> False</td>\n",
        "      <td> 60.0625</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> []</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1993-01-08 21:00:00</strong></td>\n",
        "      <td> False</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> 60.5000</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0</td>\n",
        "      <td> 1993-01-08 21:00:00+00:00</td>\n",
        "      <td> 1993-01-08 14:30:00+00:00</td>\n",
        "      <td> 0</td>\n",
        "      <td> 100000</td>\n",
        "      <td> []</td>\n",
        "      <td> 0</td>\n",
        "      <td> False</td>\n",
        "      <td> 60.5000</td>\n",
        "      <td> 100000</td>\n",
        "      <td> 0</td>\n",
        "      <td> []</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "                       buy  capital_used  cumulative_capital_used  ending_cash  \\\n",
        "1993-01-04 21:00:00  False             0                        0       100000   \n",
        "1993-01-05 21:00:00  False             0                        0       100000   \n",
        "1993-01-06 21:00:00  False             0                        0       100000   \n",
        "1993-01-07 21:00:00  False             0                        0       100000   \n",
        "1993-01-08 21:00:00  False             0                        0       100000   \n",
        "\n",
        "                     ending_value  long_mavg  max_capital_used  max_leverage  \\\n",
        "1993-01-04 21:00:00             0    58.2500                 0             0   \n",
        "1993-01-05 21:00:00             0    58.7500                 0             0   \n",
        "1993-01-06 21:00:00             0    59.7500                 0             0   \n",
        "1993-01-07 21:00:00             0    60.0625                 0             0   \n",
        "1993-01-08 21:00:00             0    60.5000                 0             0   \n",
        "\n",
        "                                  period_close                period_open  pnl  \\\n",
        "1993-01-04 21:00:00  1993-01-04 21:00:00+00:00  1993-01-04 14:30:00+00:00    0   \n",
        "1993-01-05 21:00:00  1993-01-05 21:00:00+00:00  1993-01-05 14:30:00+00:00    0   \n",
        "1993-01-06 21:00:00  1993-01-06 21:00:00+00:00  1993-01-06 14:30:00+00:00    0   \n",
        "1993-01-07 21:00:00  1993-01-07 21:00:00+00:00  1993-01-07 14:30:00+00:00    0   \n",
        "1993-01-08 21:00:00  1993-01-08 21:00:00+00:00  1993-01-08 14:30:00+00:00    0   \n",
        "\n",
        "                     portfolio_value positions  returns   sell  short_mavg  \\\n",
        "1993-01-04 21:00:00           100000        []        0  False     58.2500   \n",
        "1993-01-05 21:00:00           100000        []        0  False     58.7500   \n",
        "1993-01-06 21:00:00           100000        []        0  False     59.7500   \n",
        "1993-01-07 21:00:00           100000        []        0  False     60.0625   \n",
        "1993-01-08 21:00:00           100000        []        0  False     60.5000   \n",
        "\n",
        "                     starting_cash  starting_value transactions  \n",
        "1993-01-04 21:00:00         100000               0           []  \n",
        "1993-01-05 21:00:00         100000               0           []  \n",
        "1993-01-06 21:00:00         100000               0           []  \n",
        "1993-01-07 21:00:00         100000               0           []  \n",
        "1993-01-08 21:00:00         100000               0           []  "
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig = plt.figure()\n",
      "ax1 = fig.add_subplot(211)\n",
      "results.portfolio_value.plot(ax=ax1)\n",
      "\n",
      "ax2 = fig.add_subplot(212)\n",
      "data['AAPL'].plot(ax=ax2)\n",
      "results[['short_mavg', 'long_mavg']].plot(ax=ax2)\n",
      "\n",
      "ax2.plot(results.ix[results.buy].index, results.short_mavg[results.buy],\n",
      "         '^', markersize=10, color='m')\n",
      "ax2.plot(results.ix[results.sell].index, results.short_mavg[results.sell],\n",
      "         'v', markersize=10, color='k')\n",
      "plt.legend(loc=0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "<matplotlib.legend.Legend at 0xe2b966c>"
       ]
      },
      {
       "output_type": "display_data",
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JrVtX3VrVUOi59Q6PydD48eMJCQkhOjrate/dd9/lyiuvpGnTpmzdutXt/KeffhqHw0G3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\nAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Picking up a trend via linear regression."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import statsmodels.api as sm\n",
      "from zipline.transforms import batch_transform\n",
      "\n",
      "@batch_transform\n",
      "def ols_transform(data):\n",
      "    prices = data.price['AAPL'].values\n",
      "    x = np.arange(1, len(prices)+1) # [1,2,3,4...]\n",
      "    x = sm.add_constant(x, prepend=True)\n",
      "    return sm.OLS(prices, x).fit().params\n",
      "\n",
      "class FollowTrend(TradingAlgorithm):\n",
      "    def initialize(self):\n",
      "        self.ols_transform = ols_transform(refresh_period=1, window_length=50, fields='price')\n",
      "        self.inter = 0\n",
      "        self.slope = 0\n",
      "        \n",
      "        self.record_variables(['slope', 'buy', 'sell'])\n",
      "        \n",
      "    def handle_data(self, data):\n",
      "        self.buy = self.sell = False\n",
      "        \n",
      "        coeffs = self.ols_transform.handle_data(data)   \n",
      "        \n",
      "        if coeffs is None:\n",
      "            return\n",
      "        \n",
      "        self.inter, self.slope = coeffs\n",
      "      \n",
      "        if self.slope >= .4:\n",
      "            self.order('AAPL', self.slope * 50)\n",
      "            self.buy = True\n",
      "        if self.slope <= -.4:\n",
      "            self.order('AAPL', self.slope * 50)\n",
      "            self.sell = True"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "follow_trend = FollowTrend()\n",
      "results = follow_trend.run(data)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] INFO: Performance: Simulated 2268 trading days out of 2268.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] INFO: Performance: first open: 1993-01-04 14:30:00+00:00\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] INFO: Performance: last close: 2001-12-31 21:00:00+00:00\n"
       ]
      },
      {
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       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -2.48303334965 return, zeroing the returns\n"
       ]
      },
      {
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       ]
      },
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       ]
      },
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      },
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       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -0.136291600166 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 1.33039871725 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.210828719884 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -2.36528428494 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -0.136291600166 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 1.33039871725 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.210828719884 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -2.75313946147 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -0.136291600166 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 1.33039871725 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.210828719884 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -2.48303334965 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -0.136291600166 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 1.33039871725 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.210828719884 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 1.33039871725 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.210828719884 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.0868020153212 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: 0.330274599373 return, zeroing the returns\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "[2013-01-25 00:07] DEBUG: Risk: -0.404053110948 return, zeroing the returns\n"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Plot portfolio\n",
      "fig = plt.figure()\n",
      "ax1 = fig.add_subplot(311)\n",
      "results.portfolio_value.plot(ax=ax1)\n",
      "plt.legend()\n",
      "\n",
      "# Plot prices\n",
      "ax2 = fig.add_subplot(312)\n",
      "data['AAPL'].plot(ax=ax2)\n",
      "plt.legend()\n",
      "\n",
      "# Plot slope and buy/sell orders\n",
      "ax3 = fig.add_subplot(313)\n",
      "results.slope.plot(ax=ax3)\n",
      "ax3.plot(results.ix[results.buy].index, results.slope[results.buy],\n",
      "         '^', markersize=10, color='m')\n",
      "ax3.plot(results.ix[results.sell].index, results.slope[results.sell],\n",
      "         'v', markersize=10, color='k')\n",
      "plt.legend()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "<matplotlib.legend.Legend at 0xf92aa8c>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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cuDHmzp1rfhIaDV55hUzat51kFbYrs2/jxhwk/cADXLX8oYfMg1zVICeHg2yD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      }
     ],
     "prompt_number": 28
    }
   ],
   "metadata": {}
  }
 ]
}