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Created March 19, 2013 20:41
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Wes McKinney's notebook from 1/10/13 Boston Algorithmic Finance Meetup.
{
"metadata": {
"name": "TalkExamples"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"from datetime import datetime, time\n",
"from os.path import join as pjoin\n",
"import pandas as pd\n",
"import numpy as np\n",
"import os\n",
"\n",
"import matplotlib as mpl\n",
"mpl.rc('figure', figsize=(10, 6))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"stocks = ['AAPL', 'AMZN', 'COKE', 'GOOG', 'IBM',\n",
" 'INTC', 'PEP', 'TIVO', 'TRCR', 'WMT']\n",
"stocks = ['AAPL']\n",
"\n",
"bar_directory = os.path.expanduser('~/Downloads/minutebars')\n",
"\n",
"def load_bars(stocks):\n",
" bars = {}\n",
" for stock in stocks:\n",
" print stock\n",
" df = pd.read_csv('%s/%s.csv' % (bar_directory, stock))\n",
" df.index = pd.to_datetime(df.pop('dt'))\n",
" bars[stock] = df\n",
" return pd.Panel(bars)\n",
"\n",
"data = load_bars(stocks)\n",
"# data.major_axis = data.major_axis.tz_localize('utc').tz_convert('US/Eastern')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"AAPL\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data.major_axis = data.major_axis.shift(1, freq='-5h')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print data\n",
"close_px = data.minor_xs('close_price')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"<class 'pandas.core.panel.Panel'>\n",
"Dimensions: 1 (items) x 489597 (major_axis) x 5 (minor_axis)\n",
"Items axis: AAPL to AAPL\n",
"Major_axis axis: 2008-01-07 09:31:00 to 2013-01-07 16:00:00\n",
"Minor_axis axis: volume to open_price\n"
]
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 16,
"text": [
"<class 'pandas.core.panel.Panel'>\n",
"Dimensions: 1 (items) x 489597 (major_axis) x 5 (minor_axis)\n",
"Items axis: AAPL to AAPL\n",
"Major_axis axis: 2008-01-07 09:31:00 to 2013-01-07 16:00:00\n",
"Minor_axis axis: volume to open_price"
]
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pd.value_counts(data.major_axis.hour, sort=False)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 17,
"text": [
"9 36540\n",
"10 75599\n",
"11 75597\n",
"12 75600\n",
"13 75012\n",
"14 75001\n",
"15 74998\n",
"16 1250"
]
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data.AAPL.at_time(time(16, 0)).to_period('D').plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 18,
"text": [
"<matplotlib.axes.AxesSubplot at 0x112c8a810>"
]
},
{
"output_type": "display_data",
"png": 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daJNfFoyU2RebFi9e7PMyVTe/btu2Da+88go+/PBDREdHS9MHDhyI7du348SJEygqKkJE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9errKz0Jk2a5K1YsaLNn6czIZNtt2zZMm/z5s1ecXFxmz9HZ0Wm2m/fvn3e4sWLPc/z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\n",
"text": [
"<matplotlib.figure.Figure at 0x112c8a4d0>"
]
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data.ix['AAPL', '2013-01-07 00:00':'2013-01-07 23:59', :].tail()"
],
"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>volume</th>\n",
" <th>high</th>\n",
" <th>low</th>\n",
" <th>close_price</th>\n",
" <th>open_price</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>2013-01-07 15:56:00</strong></td>\n",
" <td> 53724</td>\n",
" <td> 524.72</td>\n",
" <td> 524.13</td>\n",
" <td> 524.143</td>\n",
" <td> 524.47</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07 15:57:00</strong></td>\n",
" <td> 68580</td>\n",
" <td> 524.30</td>\n",
" <td> 523.69</td>\n",
" <td> 523.750</td>\n",
" <td> 524.14</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07 15:58:00</strong></td>\n",
" <td> 62140</td>\n",
" <td> 524.04</td>\n",
" <td> 523.66</td>\n",
" <td> 524.040</td>\n",
" <td> 523.76</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07 15:59:00</strong></td>\n",
" <td> 94058</td>\n",
" <td> 524.09</td>\n",
" <td> 523.60</td>\n",
" <td> 523.780</td>\n",
" <td> 524.04</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07 16:00:00</strong></td>\n",
" <td> 149290</td>\n",
" <td> 524.19</td>\n",
" <td> 523.74</td>\n",
" <td> 523.970</td>\n",
" <td> 523.77</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 19,
"text": [
" volume high low close_price open_price\n",
"2013-01-07 15:56:00 53724 524.72 524.13 524.143 524.47\n",
"2013-01-07 15:57:00 68580 524.30 523.69 523.750 524.14\n",
"2013-01-07 15:58:00 62140 524.04 523.66 524.040 523.76\n",
"2013-01-07 15:59:00 94058 524.09 523.60 523.780 524.04\n",
"2013-01-07 16:00:00 149290 524.19 523.74 523.970 523.77"
]
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 20,
"text": [
"<class 'pandas.core.panel.Panel'>\n",
"Dimensions: 1 (items) x 489597 (major_axis) x 5 (minor_axis)\n",
"Items axis: AAPL to AAPL\n",
"Major_axis axis: 2008-01-07 09:31:00 to 2013-01-07 16:00:00\n",
"Minor_axis axis: volume to open_price"
]
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"close_px.AAPL.at_time(time(10, 0))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 21,
"text": [
"2008-01-07 10:00:00 182.640\n",
"2008-01-08 10:00:00 179.400\n",
"2008-01-09 10:00:00 172.800\n",
"2008-01-10 10:00:00 176.190\n",
"2008-01-11 10:00:00 176.430\n",
"2008-01-14 10:00:00 176.530\n",
"2008-01-15 10:00:00 177.720\n",
"2008-01-16 10:00:00 164.760\n",
"2008-01-17 10:00:00 163.290\n",
"2008-01-18 10:00:00 163.750\n",
"2008-01-22 10:00:00 155.280\n",
"2008-01-23 10:00:00 137.610\n",
"2008-01-24 10:00:00 140.000\n",
"2008-01-25 10:00:00 137.340\n",
"2008-01-28 10:00:00 129.585\n",
"...\n",
"2012-12-14 10:00:00 513.175\n",
"2012-12-17 10:00:00 506.150\n",
"2012-12-18 10:00:00 521.900\n",
"2012-12-19 10:00:00 529.580\n",
"2012-12-20 10:00:00 523.980\n",
"2012-12-21 10:00:00 512.350\n",
"2012-12-24 10:00:00 522.889\n",
"2012-12-26 10:00:00 518.330\n",
"2012-12-27 10:00:00 511.410\n",
"2012-12-28 10:00:00 510.760\n",
"2012-12-31 10:00:00 523.930\n",
"2013-01-02 10:00:00 552.000\n",
"2013-01-03 10:00:00 548.250\n",
"2013-01-04 10:00:00 535.890\n",
"2013-01-07 10:00:00 516.350\n",
"Name: AAPL, Length: 1260"
]
}
],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df = close_px.resample('T')\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df.resample('D', how=['count', 'mean', 'std']).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>\n",
" <th></th>\n",
" <th colspan=\"3\" halign=\"left\">AAPL</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>2008-01-07</strong></td>\n",
" <td> 390</td>\n",
" <td> 177.267823</td>\n",
" <td> 2.651974</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2008-01-08</strong></td>\n",
" <td> 390</td>\n",
" <td> 179.307018</td>\n",
" <td> 2.224237</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2008-01-09</strong></td>\n",
" <td> 390</td>\n",
" <td> 172.023926</td>\n",
" <td> 2.016931</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2008-01-10</strong></td>\n",
" <td> 390</td>\n",
" <td> 177.632200</td>\n",
" <td> 1.256401</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2008-01-11</strong></td>\n",
" <td> 390</td>\n",
" <td> 173.757151</td>\n",
" <td> 2.003267</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 23,
"text": [
" AAPL \n",
" count mean std\n",
"2008-01-07 390 177.267823 2.651974\n",
"2008-01-08 390 179.307018 2.224237\n",
"2008-01-09 390 172.023926 2.016931\n",
"2008-01-10 390 177.632200 1.256401\n",
"2008-01-11 390 173.757151 2.003267"
]
}
],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"close_px = data.minor_xs('close_price')\n",
"open_px = data.minor_xs('open_price')\n",
"volume = data.minor_xs('volume')\n",
"close_px.ix['2013-01-07'].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",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>2013-01-07 09:31:00</strong></td>\n",
" <td> 520.680</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07 09:32:00</strong></td>\n",
" <td> 520.710</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07 09:33:00</strong></td>\n",
" <td> 522.000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07 09:34:00</strong></td>\n",
" <td> 520.238</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07 09:35:00</strong></td>\n",
" <td> 522.340</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 24,
"text": [
" AAPL\n",
"2013-01-07 09:31:00 520.680\n",
"2013-01-07 09:32:00 520.710\n",
"2013-01-07 09:33:00 522.000\n",
"2013-01-07 09:34:00 520.238\n",
"2013-01-07 09:35:00 522.340"
]
}
],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"volume.between_time(time(9, 31), time(10, 0))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 25,
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"DatetimeIndex: 37800 entries, 2008-01-07 09:31:00 to 2013-01-07 10:00:00\n",
"Data columns:\n",
"AAPL 37800 non-null values\n",
"dtypes: float64(1)"
]
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Volume by time of day\n",
"morning = volume.between_time(time(9, 31), time(12, 30))\n",
"afternoon = volume.between_time(time(12, 31), time(15, 50))\n",
"last_10 = volume.between_time(time(15, 51), time(16))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"volume_hod = volume.ix['2013-01-07'].resample('H', label='right', closed='right')\n",
"volume_hod.rename(lambda x: x.strftime('%H:%M %p') % x).plot(kind='bar', rot=0)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 27,
"text": [
"<matplotlib.axes.AxesSubplot at 0x1124a1990>"
]
},
{
"output_type": "display_data",
"png": 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wGFR6erpmzpwpScrOztbrr78uj8ejUCik1NRUhUIheTweSZLX61VlZaXd/8SJE/J4PHI6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\n",
"text": [
"<matplotlib.figure.Figure at 0x11249c3d0>"
]
}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"morning.resample('D', how='mean')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 30,
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"DatetimeIndex: 1828 entries, 2008-01-07 00:00:00 to 2013-01-07 00:00:00\n",
"Freq: D\n",
"Data columns:\n",
"AAPL 1260 non-null values\n",
"dtypes: float64(1)"
]
}
],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def _agg(df):\n",
" return df.resample('D', how='mean').AAPL\n",
"\n",
"volume_tod = pd.DataFrame({\n",
" 'morning': _agg(morning),\n",
" 'afternoon': _agg(afternoon),\n",
" 'last_10': _agg(last_10)\n",
"})\n",
"volume_tod.resample('M', how='mean').plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 31,
"text": [
"<matplotlib.axes.AxesSubplot at 0x112730050>"
]
},
{
"output_type": "display_data",
"png": 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tWoVevXpBEASlHyCRSFpdEwRBfl0QhGb1tVe3orrawr3iFBMjxIV7hOPI1SMi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\nRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x11272be10>"
]
}
],
"prompt_number": 31
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Overnight return analysis\n",
"---------"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def _normalize(ts):\n",
" # inplace\n",
" ts.index = ts.index.normalize()\n",
" return ts\n",
"\n",
"# Compute overnight returns\n",
"bar_open = time(9, 31)\n",
"bar_10am = time(10, 0)\n",
"bar_last10 = time(15, 51)\n",
"bar_close = time(16)\n",
"\n",
"price_open = _normalize(open_px.at_time(bar_open))\n",
"price_10am = _normalize(close_px.at_time(bar_10am))\n",
"price_last10 = _normalize(open_px.at_time(bar_last10))\n",
"price_close = _normalize(close_px.at_time(bar_close))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 32
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"price_open[-50:]"
],
"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",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>2012-10-23</strong></td>\n",
" <td> 631.000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-10-24</strong></td>\n",
" <td> 621.440</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-10-25</strong></td>\n",
" <td> 620.000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-10-26</strong></td>\n",
" <td> 609.430</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-10-31</strong></td>\n",
" <td> 594.880</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-01</strong></td>\n",
" <td> 598.220</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-02</strong></td>\n",
" <td> 595.890</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-05</strong></td>\n",
" <td> 583.515</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-06</strong></td>\n",
" <td> 590.230</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-07</strong></td>\n",
" <td> 573.835</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-08</strong></td>\n",
" <td> 560.630</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-09</strong></td>\n",
" <td> 540.420</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-12</strong></td>\n",
" <td> 554.150</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-13</strong></td>\n",
" <td> 538.910</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-14</strong></td>\n",
" <td> 545.500</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-15</strong></td>\n",
" <td> 537.530</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-16</strong></td>\n",
" <td> 525.200</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-19</strong></td>\n",
" <td> 540.710</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-20</strong></td>\n",
" <td> 571.910</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-21</strong></td>\n",
" <td> 564.250</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-23</strong></td>\n",
" <td> 567.170</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-26</strong></td>\n",
" <td> 575.900</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-27</strong></td>\n",
" <td> 589.550</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-28</strong></td>\n",
" <td> 577.270</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-29</strong></td>\n",
" <td> 590.215</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-11-30</strong></td>\n",
" <td> 586.790</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-03</strong></td>\n",
" <td> 593.650</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-04</strong></td>\n",
" <td> 581.800</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-05</strong></td>\n",
" <td> 568.910</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-06</strong></td>\n",
" <td> 528.940</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-07</strong></td>\n",
" <td> 553.400</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-10</strong></td>\n",
" <td> 525.000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-11</strong></td>\n",
" <td> 539.770</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-12</strong></td>\n",
" <td> 547.770</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-13</strong></td>\n",
" <td> 531.150</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-14</strong></td>\n",
" <td> 514.750</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-17</strong></td>\n",
" <td> 508.930</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-18</strong></td>\n",
" <td> 525.000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-19</strong></td>\n",
" <td> 531.470</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-20</strong></td>\n",
" <td> 530.000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-21</strong></td>\n",
" <td> 512.470</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-24</strong></td>\n",
" <td> 520.350</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-26</strong></td>\n",
" <td> 519.000</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-27</strong></td>\n",
" <td> 513.540</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-28</strong></td>\n",
" <td> 510.290</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2012-12-31</strong></td>\n",
" <td> 510.530</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-02</strong></td>\n",
" <td> 553.820</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-03</strong></td>\n",
" <td> 547.880</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-04</strong></td>\n",
" <td> 536.965</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2013-01-07</strong></td>\n",
" <td> 522.000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 33,
"text": [
" AAPL\n",
"2012-10-23 631.000\n",
"2012-10-24 621.440\n",
"2012-10-25 620.000\n",
"2012-10-26 609.430\n",
"2012-10-31 594.880\n",
"2012-11-01 598.220\n",
"2012-11-02 595.890\n",
"2012-11-05 583.515\n",
"2012-11-06 590.230\n",
"2012-11-07 573.835\n",
"2012-11-08 560.630\n",
"2012-11-09 540.420\n",
"2012-11-12 554.150\n",
"2012-11-13 538.910\n",
"2012-11-14 545.500\n",
"2012-11-15 537.530\n",
"2012-11-16 525.200\n",
"2012-11-19 540.710\n",
"2012-11-20 571.910\n",
"2012-11-21 564.250\n",
"2012-11-23 567.170\n",
"2012-11-26 575.900\n",
"2012-11-27 589.550\n",
"2012-11-28 577.270\n",
"2012-11-29 590.215\n",
"2012-11-30 586.790\n",
"2012-12-03 593.650\n",
"2012-12-04 581.800\n",
"2012-12-05 568.910\n",
"2012-12-06 528.940\n",
"2012-12-07 553.400\n",
"2012-12-10 525.000\n",
"2012-12-11 539.770\n",
"2012-12-12 547.770\n",
"2012-12-13 531.150\n",
"2012-12-14 514.750\n",
"2012-12-17 508.930\n",
"2012-12-18 525.000\n",
"2012-12-19 531.470\n",
"2012-12-20 530.000\n",
"2012-12-21 512.470\n",
"2012-12-24 520.350\n",
"2012-12-26 519.000\n",
"2012-12-27 513.540\n",
"2012-12-28 510.290\n",
"2012-12-31 510.530\n",
"2013-01-02 553.820\n",
"2013-01-03 547.880\n",
"2013-01-04 536.965\n",
"2013-01-07 522.000"
]
}
],
"prompt_number": 33
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"overnight_returns = price_open / price_close.shift(1) - 1\n",
"morning_returns = price_10am / price_open - 1\n",
"last10_returns = price_close / price_last10 - 1\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 34
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"overnight_returns.corrwith(morning_returns)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 35,
"text": [
"AAPL -0.20188"
]
}
],
"prompt_number": 35
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pd.ols(y=morning_returns.AAPL, \n",
" x=overnight_returns)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 36,
"text": [
"\n",
"-------------------------Summary of Regression Analysis-------------------------\n",
"\n",
"Formula: Y ~ <AAPL> + <intercept>\n",
"\n",
"Number of Observations: 1249\n",
"Number of Degrees of Freedom: 2\n",
"\n",
"R-squared: 0.0408\n",
"Adj R-squared: 0.0400\n",
"\n",
"Rmse: 0.0093\n",
"\n",
"F-stat (1, 1247): 52.9817, p-value: 0.0000\n",
"\n",
"Degrees of Freedom: model 1, resid 1247\n",
"\n",
"-----------------------Summary of Estimated Coefficients------------------------\n",
" Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5%\n",
"--------------------------------------------------------------------------------\n",
" AAPL -0.1341 0.0184 -7.28 0.0000 -0.1702 -0.0980\n",
" intercept 0.0003 0.0003 1.14 0.2545 -0.0002 0.0008\n",
"---------------------------------End of Summary---------------------------------\n"
]
}
],
"prompt_number": 36
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"model = pd.ols(y=morning_returns.AAPL, x=overnight_returns, window=60,\n",
" min_periods=40)\n",
"model.beta['AAPL'].plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 37,
"text": [
"<matplotlib.axes.AxesSubplot at 0x11229c850>"
]
},
{
"output_type": "display_data",
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+hCYrNJJlto1GpAuV0RehKWrZUt92vKzJEvzqV8D8+bLAVAuhjThxgqaS5Dyn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\nABRkEQRBEARBWID/B6zRL5kvHsD3AAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x11229c510>"
]
}
],
"prompt_number": 37
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"X = pd.DataFrame({'overnight': overnight_returns.AAPL,\n",
" 'last10': last10_returns.shift(1).AAPL})\n",
"model = pd.ols(y=morning_returns.AAPL, x=X, window=60,\n",
" min_periods=40)\n",
"model.beta.plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 38,
"text": [
"<matplotlib.axes.AxesSubplot at 0x11506c750>"
]
},
{
"output_type": "display_data",
"png": 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5Y6BhTpbYh1YbPE5WXl7w1jJkkcVc8kyeTALKutK7HHayPOe114Dly4GMDNv/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\nmICwsDB8+OGHAIDOnTujW7duS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"text": [
"<matplotlib.figure.Figure at 0x11229c450>"
]
}
],
"prompt_number": 38
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's do a (simple) backtest!\n",
"-----\n",
"\n",
"Some ideas\n",
"\n",
"- **Strategy 1**: Buy/short at close, sell/cover at open\n",
"- **Strategy 2**: Buy/short reversal at 3:50:00, sell/cover at close\n",
"- **Strategy 3**: Buy/short at 9:30 (maybe if signal exceeds some threshold), sell/cover at 10am"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def sharpe(rets, annualizer=250):\n",
" return rets.mean() / rets.std() * np.sqrt(annualizer)\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 39
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Overnight reversal?\n",
"buysell = -np.sign(last10_returns.shift(1))\n",
"position = price_close.shift(1) * 100 * buysell\n",
"\n",
"# Sell at open\n",
"pl = (position * overnight_returns).sum(1)\n",
"pl.cumsum().plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 41,
"text": [
"<matplotlib.axes.AxesSubplot at 0x112671850>"
]
},
{
"output_type": "display_data",
"png": 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H46+UdBfoGiJybvt24MUXgW++kRqgLVssa60CHb+KCvvbekRHGy8J8FZFheW3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\nZP8DyMnIHUxP8/AAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x112363dd0>"
]
}
],
"prompt_number": 41
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pl.groupby(pl.index.year).agg(sharpe)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 42,
"text": [
"2008 1.898333\n",
"2009 0.515809\n",
"2010 -0.020921\n",
"2011 -0.142998\n",
"2012 0.240910\n",
"2013 3.598240"
]
}
],
"prompt_number": 42
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Reversal to 10AM?\n",
"buysell = -np.sign(last10_returns.shift(1))\n",
"position = price_close.shift(1) * 100 * buysell\n",
"\n",
"# Sell at open\n",
"pl = (position * (overnight_returns + morning_returns)).sum(1)\n",
"pl.cumsum().plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 43,
"text": [
"<matplotlib.axes.AxesSubplot at 0x112623450>"
]
},
{
"output_type": "display_data",
"png": 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g5Eh5vH498MorgRsvIaRuwRwz4jLLlwOvvSZLQuo6mqZPGsjKAurXB264Qer3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\nNgAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x112351650>"
]
}
],
"prompt_number": 43
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pl[np.abs(pl) > 1000]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 47,
"text": [
"2008-01-23 -1966.780894\n",
"2008-07-22 1445.207517\n",
"2008-09-29 -1698.251881\n",
"2009-12-28 -1057.093661\n",
"2010-04-21 1510.990690\n",
"2010-05-10 -1460.904416\n",
"2010-10-19 1022.378378\n",
"2011-01-18 1354.686453\n",
"2011-03-15 -1216.277930\n",
"2011-04-21 1006.586405\n",
"2011-07-20 -1268.663637\n",
"2011-08-18 1159.482931\n",
"2011-10-10 1198.511786\n",
"2011-10-19 -2199.110178\n",
"2012-01-25 2890.325227\n",
"2012-03-06 1187.964022\n",
"2012-03-14 -1311.480754\n",
"2012-04-03 -1014.870078\n",
"2012-04-16 -1716.270154\n",
"2012-04-18 -1012.362462\n",
"2012-04-25 5677.879381\n",
"2012-04-30 1381.428571\n",
"2012-07-05 -1243.921923\n",
"2012-07-23 -1242.712651\n",
"2012-07-25 2730.147617\n",
"2012-07-30 -1156.292425\n",
"2012-07-31 -1171.412632\n",
"2012-08-27 1126.066222\n",
"2012-09-14 1017.735059\n",
"2012-10-24 -1137.612127\n",
"2012-10-31 1253.180053\n",
"2012-11-07 -1371.265917\n",
"2012-11-19 -2143.259862\n",
"2012-11-26 -1738.918180\n",
"2012-12-05 1687.942891\n",
"2012-12-11 1262.571401\n",
"2012-12-14 1647.043711\n",
"2012-12-31 -1447.112804\n",
"2013-01-02 1908.848579\n",
"2013-01-07 -1071.422701"
]
}
],
"prompt_number": 47
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Use our model to predict\n",
"X = pd.DataFrame({'overnight': overnight_returns.AAPL,\n",
" 'last10': last10_returns.shift(1).AAPL})\n",
"model = pd.ols(y=morning_returns.AAPL, x=X, window=120,\n",
" min_periods=40)\n",
"pred = model.y_predict\n",
"THRESHOLD = 0.001\n",
"signal = np.where(np.abs(pred) > THRESHOLD, np.sign(pred), 0)\n",
"\n",
"CASH = 50000\n",
"shares = CASH // price_open.AAPL\n",
"position = signal * shares * price_open.AAPL\n",
"\n",
"returns = position * morning_returns.AAPL\n",
"returns.cumsum().plot()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 45,
"text": [
"<matplotlib.axes.AxesSubplot at 0x112291f50>"
]
},
{
"output_type": "display_data",
"png": 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oR+br0UfL/1HxzDPm/8J775n6vW7dzGzaunWVt45wOMxsmog0Piq4l3pV27/e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\n",
"text": [
"<matplotlib.figure.Figure at 0x11262ecd0>"
]
}
],
"prompt_number": 45
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"returns.groupby(returns.index.year).agg(sharpe)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 46,
"text": [
"2008 3.157617\n",
"2009 0.609950\n",
"2010 0.178774\n",
"2011 2.009353\n",
"2012 0.387223\n",
"2013 12.408097"
]
}
],
"prompt_number": 46
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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