ml-finance-python

python scripts for finance machine learning

git clone https://9o.is/git/ml-finance-python.git

notebook.ipynb

(220226B)


      1 {
      2  "cells": [
      3   {
      4    "cell_type": "markdown",
      5    "metadata": {},
      6    "source": [
      7     "## Lesson 3: The `history` Function"
      8    ]
      9   },
     10   {
     11    "cell_type": "markdown",
     12    "metadata": {},
     13    "source": [
     14     "The `history` function allows us to get trailing windows of historical pricing and volume data in Research. It requires 5 arguments: the contracts for which we want data, the data fields, a lookback frequency, and the start and end dates for the lookback window. Possible fields include `'price'`, `'open_price'`, `'high'`, `'low'`, `'close_price'`, `'volume'` and `'contract'`. Possible frequencies are `'daily'` and `'minute'`."
     15    ]
     16   },
     17   {
     18    "cell_type": "markdown",
     19    "metadata": {},
     20    "source": [
     21     "Let's start by importing the `history` function from research's experimental library: "
     22    ]
     23   },
     24   {
     25    "cell_type": "code",
     26    "execution_count": 1,
     27    "metadata": {
     28     "collapsed": true
     29    },
     30    "outputs": [],
     31    "source": [
     32     "from quantopian.research.experimental import history"
     33    ]
     34   },
     35   {
     36    "cell_type": "markdown",
     37    "metadata": {},
     38    "source": [
     39     "The return type of `history` depends on the input types of the `symbols` and `fields` parameters. If a single `Future` reference and a single field are specified, `history` returns a <a href=\"http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.html\">pandas Series</a>: "
     40    ]
     41   },
     42   {
     43    "cell_type": "code",
     44    "execution_count": 2,
     45    "metadata": {
     46     "collapsed": false
     47    },
     48    "outputs": [
     49     {
     50      "data": {
     51       "text/plain": [
     52        "2015-10-21 00:00:00+00:00    45.97\n",
     53        "2015-10-22 00:00:00+00:00    46.27\n",
     54        "2015-10-23 00:00:00+00:00    45.65\n",
     55        "2015-10-26 00:00:00+00:00    44.63\n",
     56        "2015-10-27 00:00:00+00:00    44.30\n",
     57        "Freq: C, Name: Future(1058201601 [CLF16]), dtype: float64"
     58       ]
     59      },
     60      "execution_count": 2,
     61      "metadata": {},
     62      "output_type": "execute_result"
     63     }
     64    ],
     65    "source": [
     66     "clf16_price = history(\n",
     67     "    'CLF16', \n",
     68     "    fields='price', \n",
     69     "    frequency='daily', \n",
     70     "    start='2015-10-21', \n",
     71     "    end='2015-12-21'\n",
     72     ")\n",
     73     "\n",
     74     "clf16_price.head()"
     75    ]
     76   },
     77   {
     78    "cell_type": "markdown",
     79    "metadata": {},
     80    "source": [
     81     "When a list of `Futures` and a single field are specified, the return type is a <a href=\"http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html\">pandas DataFrame</a> indexed by date, with assets as columns:"
     82    ]
     83   },
     84   {
     85    "cell_type": "code",
     86    "execution_count": 3,
     87    "metadata": {
     88     "collapsed": false
     89    },
     90    "outputs": [
     91     {
     92      "data": {
     93       "text/html": [
     94        "<div>\n",
     95        "<table border=\"1\" class=\"dataframe\">\n",
     96        "  <thead>\n",
     97        "    <tr style=\"text-align: right;\">\n",
     98        "      <th></th>\n",
     99        "      <th>Future(1058201601 [CLF16])</th>\n",
    100        "      <th>Future(1058201602 [CLG16])</th>\n",
    101        "      <th>Future(1058201603 [CLH16])</th>\n",
    102        "    </tr>\n",
    103        "  </thead>\n",
    104        "  <tbody>\n",
    105        "    <tr>\n",
    106        "      <th>2015-10-21 00:00:00+00:00</th>\n",
    107        "      <td>21833.0</td>\n",
    108        "      <td>2949.0</td>\n",
    109        "      <td>1725.0</td>\n",
    110        "    </tr>\n",
    111        "    <tr>\n",
    112        "      <th>2015-10-22 00:00:00+00:00</th>\n",
    113        "      <td>17198.0</td>\n",
    114        "      <td>2150.0</td>\n",
    115        "      <td>1544.0</td>\n",
    116        "    </tr>\n",
    117        "    <tr>\n",
    118        "      <th>2015-10-23 00:00:00+00:00</th>\n",
    119        "      <td>27287.0</td>\n",
    120        "      <td>3544.0</td>\n",
    121        "      <td>1849.0</td>\n",
    122        "    </tr>\n",
    123        "    <tr>\n",
    124        "      <th>2015-10-26 00:00:00+00:00</th>\n",
    125        "      <td>18940.0</td>\n",
    126        "      <td>2745.0</td>\n",
    127        "      <td>1457.0</td>\n",
    128        "    </tr>\n",
    129        "    <tr>\n",
    130        "      <th>2015-10-27 00:00:00+00:00</th>\n",
    131        "      <td>22071.0</td>\n",
    132        "      <td>3211.0</td>\n",
    133        "      <td>2638.0</td>\n",
    134        "    </tr>\n",
    135        "  </tbody>\n",
    136        "</table>\n",
    137        "</div>"
    138       ],
    139       "text/plain": [
    140        "                           Future(1058201601 [CLF16])  \\\n",
    141        "2015-10-21 00:00:00+00:00                     21833.0   \n",
    142        "2015-10-22 00:00:00+00:00                     17198.0   \n",
    143        "2015-10-23 00:00:00+00:00                     27287.0   \n",
    144        "2015-10-26 00:00:00+00:00                     18940.0   \n",
    145        "2015-10-27 00:00:00+00:00                     22071.0   \n",
    146        "\n",
    147        "                           Future(1058201602 [CLG16])  \\\n",
    148        "2015-10-21 00:00:00+00:00                      2949.0   \n",
    149        "2015-10-22 00:00:00+00:00                      2150.0   \n",
    150        "2015-10-23 00:00:00+00:00                      3544.0   \n",
    151        "2015-10-26 00:00:00+00:00                      2745.0   \n",
    152        "2015-10-27 00:00:00+00:00                      3211.0   \n",
    153        "\n",
    154        "                           Future(1058201603 [CLH16])  \n",
    155        "2015-10-21 00:00:00+00:00                      1725.0  \n",
    156        "2015-10-22 00:00:00+00:00                      1544.0  \n",
    157        "2015-10-23 00:00:00+00:00                      1849.0  \n",
    158        "2015-10-26 00:00:00+00:00                      1457.0  \n",
    159        "2015-10-27 00:00:00+00:00                      2638.0  "
    160       ]
    161      },
    162      "execution_count": 3,
    163      "metadata": {},
    164      "output_type": "execute_result"
    165     }
    166    ],
    167    "source": [
    168     "cl_fgh_16_volume = history(\n",
    169     "    symbols=['CLF16', 'CLG16', 'CLH16'], \n",
    170     "    fields='volume', \n",
    171     "    frequency='daily', \n",
    172     "    start='2015-10-21', \n",
    173     "    end='2015-12-21'\n",
    174     ")\n",
    175     "\n",
    176     "cl_fgh_16_volume.head()"
    177    ]
    178   },
    179   {
    180    "cell_type": "markdown",
    181    "metadata": {},
    182    "source": [
    183     "And if we pass a list of Futures and a list of fields, we get a <a href=\"http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Panel.html\">pandas Panel</a> indexed by field, having date as the major axis, and assets as the minor axis."
    184    ]
    185   },
    186   {
    187    "cell_type": "markdown",
    188    "metadata": {},
    189    "source": [
    190     "To see the full doc string for `history`, run the cell at the <a href=\"#history_doc\">end of this notebook.</a>"
    191    ]
    192   },
    193   {
    194    "cell_type": "markdown",
    195    "metadata": {},
    196    "source": [
    197     "### Futures Pricing & Volume"
    198    ]
    199   },
    200   {
    201    "cell_type": "markdown",
    202    "metadata": {},
    203    "source": [
    204     "Now, let's use `history` to get the close price and volume for the Crude Oil contract with delivery date in January 2016 (`CLF16`), for the 2 months leading up to its delivery date (`2015-12-21`)."
    205    ]
    206   },
    207   {
    208    "cell_type": "code",
    209    "execution_count": 4,
    210    "metadata": {
    211     "collapsed": false
    212    },
    213    "outputs": [
    214     {
    215      "data": {
    216       "text/html": [
    217        "<div>\n",
    218        "<table border=\"1\" class=\"dataframe\">\n",
    219        "  <thead>\n",
    220        "    <tr style=\"text-align: right;\">\n",
    221        "      <th></th>\n",
    222        "      <th>price</th>\n",
    223        "      <th>volume</th>\n",
    224        "    </tr>\n",
    225        "  </thead>\n",
    226        "  <tbody>\n",
    227        "    <tr>\n",
    228        "      <th>2015-10-21 00:00:00+00:00</th>\n",
    229        "      <td>45.97</td>\n",
    230        "      <td>21833.0</td>\n",
    231        "    </tr>\n",
    232        "    <tr>\n",
    233        "      <th>2015-10-22 00:00:00+00:00</th>\n",
    234        "      <td>46.27</td>\n",
    235        "      <td>17198.0</td>\n",
    236        "    </tr>\n",
    237        "    <tr>\n",
    238        "      <th>2015-10-23 00:00:00+00:00</th>\n",
    239        "      <td>45.65</td>\n",
    240        "      <td>27287.0</td>\n",
    241        "    </tr>\n",
    242        "    <tr>\n",
    243        "      <th>2015-10-26 00:00:00+00:00</th>\n",
    244        "      <td>44.63</td>\n",
    245        "      <td>18940.0</td>\n",
    246        "    </tr>\n",
    247        "    <tr>\n",
    248        "      <th>2015-10-27 00:00:00+00:00</th>\n",
    249        "      <td>44.30</td>\n",
    250        "      <td>22071.0</td>\n",
    251        "    </tr>\n",
    252        "  </tbody>\n",
    253        "</table>\n",
    254        "</div>"
    255       ],
    256       "text/plain": [
    257        "                           price   volume\n",
    258        "2015-10-21 00:00:00+00:00  45.97  21833.0\n",
    259        "2015-10-22 00:00:00+00:00  46.27  17198.0\n",
    260        "2015-10-23 00:00:00+00:00  45.65  27287.0\n",
    261        "2015-10-26 00:00:00+00:00  44.63  18940.0\n",
    262        "2015-10-27 00:00:00+00:00  44.30  22071.0"
    263       ]
    264      },
    265      "execution_count": 4,
    266      "metadata": {},
    267      "output_type": "execute_result"
    268     }
    269    ],
    270    "source": [
    271     "clf16 = symbols('CLF16')\n",
    272     "\n",
    273     "clf16_data = history(\n",
    274     "    clf16, \n",
    275     "    fields=['price', 'volume'], \n",
    276     "    frequency='daily', \n",
    277     "    start='2015-10-21', \n",
    278     "    end='2015-12-21'\n",
    279     ")\n",
    280     "\n",
    281     "clf16_data.head()"
    282    ]
    283   },
    284   {
    285    "cell_type": "markdown",
    286    "metadata": {},
    287    "source": [
    288     "All pricing values for futures contracts correspond to unit prices. For a `CL` contract, this value denotes the price per barrel, and a single contract represents 1000 barrels (`multiplier`). In backtesting, if you hold a particular contract, the value of your portfolio will change by an amount equal to the change in price of the contract (unit price) * the multiplier."
    289    ]
    290   },
    291   {
    292    "cell_type": "markdown",
    293    "metadata": {},
    294    "source": [
    295     "Plotting price and volume will give us a better idea of how these values change over time for this particular contract."
    296    ]
    297   },
    298   {
    299    "cell_type": "code",
    300    "execution_count": 5,
    301    "metadata": {
    302     "collapsed": false
    303    },
    304    "outputs": [
    305     {
    306      "data": {
    307       "image/png": 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pQvzceGxMdya+tYIX317DlIf6EeDjYnRZF+To8XJWbj7I8g01Iaiq2g5Am1BP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LkVx8mtPMGRyrwuo4lM7t624XUDA+IJ9gyw+3ZOn2iIksOSqGiooryxijP1ZZd9jtHViwBPP3z1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\nDTBoL74AAAAASUVORK5CYII=\n",
    308       "text/plain": [
    309        "<matplotlib.figure.Figure at 0x7f5d35b94d90>"
    310       ]
    311      },
    312      "metadata": {},
    313      "output_type": "display_data"
    314     }
    315    ],
    316    "source": [
    317     "clf16_data.plot(subplots=True);"
    318    ]
    319   },
    320   {
    321    "cell_type": "markdown",
    322    "metadata": {},
    323    "source": [
    324     "Notice the rise and subsequent drop in trading volume prior to the delivery date of the contract? This is typical behavior for futures. Let's see what the volume looks like for a chain of consecutive contracts."
    325    ]
    326   },
    327   {
    328    "cell_type": "code",
    329    "execution_count": 6,
    330    "metadata": {
    331     "collapsed": true
    332    },
    333    "outputs": [],
    334    "source": [
    335     "cl_contracts = symbols(['CLF16', 'CLG16', 'CLH16', 'CLJ16', 'CLK16', 'CLM16'])\n",
    336     "\n",
    337     "cl_consecutive_contract_volume = history(\n",
    338     "    cl_contracts, \n",
    339     "    fields='volume', \n",
    340     "    frequency='daily', \n",
    341     "    start='2015-10-21', \n",
    342     "    end='2016-06-01'\n",
    343     ")"
    344    ]
    345   },
    346   {
    347    "cell_type": "code",
    348    "execution_count": 7,
    349    "metadata": {
    350     "collapsed": false
    351    },
    352    "outputs": [
    353     {
    354      "data": {
    355       "image/png": 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ky8vLUxZmrQyxsbF88803QMk6RXXq1KkwGBLicVF6QVaZVEEIURn0BiMxx89z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\ndOcDmRdEiVyPaEyXxRQZGdlnRDyEU+zl6SvWUFZX4pK59h7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bO3mVQ4yoLCM3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a3D8lphBWHLI4e9G2ERE6NVaMMj78Z6pcAjMxqtZMte2UJgM2Ikbrqb5hDd0HR3dVdX133kfbzH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\nuYta5tyoW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jr9YT+/ev9hfuVjh/hwZp1nX5vmv52aIaebjA+VF0SNlCr8w4sXOfPBEtNz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\nQmCC\n",
    356       "text/plain": [
    357        "<matplotlib.figure.Figure at 0x7f5d36c0de90>"
    358       ]
    359      },
    360      "metadata": {},
    361      "output_type": "display_data"
    362     }
    363    ],
    364    "source": [
    365     "cl_consecutive_contract_volume.plot(title='Consecutive Contracts Volume Over Time');"
    366    ]
    367   },
    368   {
    369    "cell_type": "markdown",
    370    "metadata": {},
    371    "source": [
    372     "Trading activity jumps from one contract to the next, and transitions happen just prior to the delivery of each contract.\n",
    373     "\n",
    374     "As you might imagine, having to explicitly reference a series of transient contracts when trading or simulating futures can make it difficult to work with them. In the next lesson we introduce a solution to this problem in the form of Continuous Futures."
    375    ]
    376   },
    377   {
    378    "cell_type": "markdown",
    379    "metadata": {},
    380    "source": [
    381     "<a></a></a>"
    382    ]
    383   },
    384   {
    385    "cell_type": "code",
    386    "execution_count": 8,
    387    "metadata": {
    388     "collapsed": false
    389    },
    390    "outputs": [
    391     {
    392      "name": "stdout",
    393      "output_type": "stream",
    394      "text": [
    395       "\n",
    396       "    Load a table of historical trade data.\n",
    397       "\n",
    398       "    Parameters\n",
    399       "    ----------\n",
    400       "    symbols : Asset-convertible object, ContinuousFuture, or iterable of same.\n",
    401       "        Valid input types are Asset, Integral, basestring, or ContinuousFuture.\n",
    402       "        In the case that the passed objects are strings, they are interpreted\n",
    403       "        as ticker symbols and resolved relative to the date specified by\n",
    404       "        symbol_reference_date.\n",
    405       "\n",
    406       "    fields : str or list\n",
    407       "        String or list drawn from {'price', 'open_price', 'high', 'low',\n",
    408       "        'close_price', 'volume', 'contract'}.\n",
    409       "\n",
    410       "    start : str or pd.Timestamp\n",
    411       "        String or Timestamp representing a start date or start intraday minute\n",
    412       "        for the returned data.\n",
    413       "\n",
    414       "    end : str or pd.Timestamp\n",
    415       "        String or Timestamp representing an end date or end intraday minute for\n",
    416       "        the returned data.\n",
    417       "\n",
    418       "    frequency : {'daily', 'minute'}\n",
    419       "        Resolution of the data to be returned.\n",
    420       "\n",
    421       "    symbol_reference_date : str or pd.Timestamp, optional\n",
    422       "        String or Timestamp representing a date used to resolve symbols that\n",
    423       "        have been held by multiple companies. Defaults to the current time.\n",
    424       "\n",
    425       "    handle_missing : {'raise', 'log', 'ignore'}, optional\n",
    426       "        String specifying how to handle unmatched securities. Defaults to\n",
    427       "        'raise'.\n",
    428       "\n",
    429       "    start_offset : int, optional\n",
    430       "        Number of periods before ``start`` to fetch.\n",
    431       "        Default is 0. This is most often useful when computing returns.\n",
    432       "\n",
    433       "    Returns\n",
    434       "    -------\n",
    435       "    pandas Panel/DataFrame/Series\n",
    436       "        The pricing data that was requested. See note below.\n",
    437       "\n",
    438       "    Notes\n",
    439       "    -----\n",
    440       "    If a list of symbols is provided, data is returned in the form of a pandas\n",
    441       "    Panel object with the following indices::\n",
    442       "\n",
    443       "        items = fields\n",
    444       "        major_axis = TimeSeries (start_date -> end_date)\n",
    445       "        minor_axis = symbols\n",
    446       "\n",
    447       "    If a string is passed for the value of `symbols` and `fields` is None or a\n",
    448       "    list of strings, data is returned as a DataFrame with a DatetimeIndex and\n",
    449       "    columns given by the passed fields.\n",
    450       "\n",
    451       "    If a list of symbols is provided, and `fields` is a string, data is\n",
    452       "    returned as a DataFrame with a DatetimeIndex and a columns given by the\n",
    453       "    passed `symbols`.\n",
    454       "\n",
    455       "    If both parameters are passed as strings, data is returned as a Series.\n",
    456       "    \n"
    457      ]
    458     }
    459    ],
    460    "source": [
    461     "print history.__doc__"
    462    ]
    463   }
    464  ],
    465  "metadata": {
    466   "kernelspec": {
    467    "display_name": "Python 2",
    468    "language": "python",
    469    "name": "python2"
    470   },
    471   "language_info": {
    472    "codemirror_mode": {
    473     "name": "ipython",
    474     "version": 2
    475    },
    476    "file_extension": ".py",
    477    "mimetype": "text/x-python",
    478    "name": "python",
    479    "nbconvert_exporter": "python",
    480    "pygments_lexer": "ipython2",
    481    "version": "2.7.12"
    482   }
    483  },
    484  "nbformat": 4,
    485  "nbformat_minor": 2
    486 }