ml-finance-python

python scripts for finance machine learning

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

notebook.ipynb

(90682B)


      1 {
      2  "cells": [
      3   {
      4    "cell_type": "markdown",
      5    "metadata": {},
      6    "source": [
      7     "# Quandl: United Stated Initial Unemployment Claims\n",
      8     "\n",
      9     "In this notebook, we'll take a look at data set , available on [Quantopian](https://www.quantopian.com/data). This dataset spans from 1967 through the current day. It contains the value for the United Gross Domestic Product (GDP) as provided by the US Federal Reserve via the [FRED data initiative](https://research.stlouisfed.org/fred2/). We access this data via the API provided by [Quandl](https://www.quandl.com). [More details](https://www.quandl.com/data/FRED/ICSA-Initial-Claims) on this dataset can be found on Quandl's website.\n",
     10     "\n",
     11     "### Blaze\n",
     12     "Before we dig into the data, we want to tell you about how  you generally access Quantopian partner data sets. These datasets are available using the [Blaze](http://blaze.pydata.org) library. Blaze provides the Quantopian user with a convenient interface to access very large datasets.\n",
     13     "\n",
     14     "Some of these sets (though not this one) are many millions of records. Bringing that data directly into Quantopian Research directly just is not viable. So Blaze allows us to provide a simple querying interface and shift the burden over to the server side.\n",
     15     "\n",
     16     "To learn more about using Blaze and generally accessing Quantopian Store data, clone [this tutorial notebook](https://www.quantopian.com/clone_notebook?id=561827d21777f45c97000054).\n",
     17     "\n",
     18     "With preamble in place, let's get started:"
     19    ]
     20   },
     21   {
     22    "cell_type": "code",
     23    "execution_count": 1,
     24    "metadata": {
     25     "collapsed": true
     26    },
     27    "outputs": [],
     28    "source": [
     29     "# import the dataset\n",
     30     "from quantopian.interactive.data.quandl import fred_icsa\n",
     31     "# Since this data is public domain and provided by Quandl for free, there is no _free version of this\n",
     32     "# data set, as found in the premium sets. This import gets you the entirety of this data set.\n",
     33     "\n",
     34     "# import data operations\n",
     35     "from odo import odo\n",
     36     "# import other libraries we will use\n",
     37     "import pandas as pd\n",
     38     "import matplotlib.pyplot as plt"
     39    ]
     40   },
     41   {
     42    "cell_type": "code",
     43    "execution_count": 2,
     44    "metadata": {
     45     "collapsed": false
     46    },
     47    "outputs": [
     48     {
     49      "data": {
     50       "text/html": [
     51        "<table border=\"1\" class=\"dataframe\">\n",
     52        "  <thead>\n",
     53        "    <tr style=\"text-align: right;\">\n",
     54        "      <th></th>\n",
     55        "      <th>asof_date</th>\n",
     56        "      <th>value</th>\n",
     57        "      <th>timestamp</th>\n",
     58        "    </tr>\n",
     59        "  </thead>\n",
     60        "  <tbody>\n",
     61        "    <tr>\n",
     62        "      <th>0</th>\n",
     63        "      <td>1967-01-07</td>\n",
     64        "      <td>208000</td>\n",
     65        "      <td>1967-01-07</td>\n",
     66        "    </tr>\n",
     67        "    <tr>\n",
     68        "      <th>1</th>\n",
     69        "      <td>1967-01-14</td>\n",
     70        "      <td>207000</td>\n",
     71        "      <td>1967-01-14</td>\n",
     72        "    </tr>\n",
     73        "    <tr>\n",
     74        "      <th>2</th>\n",
     75        "      <td>1967-01-21</td>\n",
     76        "      <td>217000</td>\n",
     77        "      <td>1967-01-21</td>\n",
     78        "    </tr>\n",
     79        "    <tr>\n",
     80        "      <th>3</th>\n",
     81        "      <td>1967-01-28</td>\n",
     82        "      <td>204000</td>\n",
     83        "      <td>1967-01-28</td>\n",
     84        "    </tr>\n",
     85        "    <tr>\n",
     86        "      <th>4</th>\n",
     87        "      <td>1967-02-04</td>\n",
     88        "      <td>216000</td>\n",
     89        "      <td>1967-02-04</td>\n",
     90        "    </tr>\n",
     91        "    <tr>\n",
     92        "      <th>5</th>\n",
     93        "      <td>1967-02-11</td>\n",
     94        "      <td>229000</td>\n",
     95        "      <td>1967-02-11</td>\n",
     96        "    </tr>\n",
     97        "    <tr>\n",
     98        "      <th>6</th>\n",
     99        "      <td>1967-02-18</td>\n",
    100        "      <td>229000</td>\n",
    101        "      <td>1967-02-18</td>\n",
    102        "    </tr>\n",
    103        "    <tr>\n",
    104        "      <th>7</th>\n",
    105        "      <td>1967-02-25</td>\n",
    106        "      <td>242000</td>\n",
    107        "      <td>1967-02-25</td>\n",
    108        "    </tr>\n",
    109        "    <tr>\n",
    110        "      <th>8</th>\n",
    111        "      <td>1967-03-04</td>\n",
    112        "      <td>310000</td>\n",
    113        "      <td>1967-03-04</td>\n",
    114        "    </tr>\n",
    115        "    <tr>\n",
    116        "      <th>9</th>\n",
    117        "      <td>1967-03-11</td>\n",
    118        "      <td>241000</td>\n",
    119        "      <td>1967-03-11</td>\n",
    120        "    </tr>\n",
    121        "    <tr>\n",
    122        "      <th>10</th>\n",
    123        "      <td>1967-03-18</td>\n",
    124        "      <td>245000</td>\n",
    125        "      <td>1967-03-18</td>\n",
    126        "    </tr>\n",
    127        "  </tbody>\n",
    128        "</table>"
    129       ],
    130       "text/plain": [
    131        "    asof_date   value  timestamp\n",
    132        "0  1967-01-07  208000 1967-01-07\n",
    133        "1  1967-01-14  207000 1967-01-14\n",
    134        "2  1967-01-21  217000 1967-01-21\n",
    135        "3  1967-01-28  204000 1967-01-28\n",
    136        "4  1967-02-04  216000 1967-02-04\n",
    137        "5  1967-02-11  229000 1967-02-11\n",
    138        "6  1967-02-18  229000 1967-02-18\n",
    139        "7  1967-02-25  242000 1967-02-25\n",
    140        "8  1967-03-04  310000 1967-03-04\n",
    141        "9  1967-03-11  241000 1967-03-11\n",
    142        "..."
    143       ]
    144      },
    145      "execution_count": 2,
    146      "metadata": {},
    147      "output_type": "execute_result"
    148     }
    149    ],
    150    "source": [
    151     "fred_icsa.sort('asof_date')"
    152    ]
    153   },
    154   {
    155    "cell_type": "markdown",
    156    "metadata": {},
    157    "source": [
    158     "The data goes all the way back to 1947 and is updated quarterly.\n",
    159     "\n",
    160     "Blaze provides us with the first 10 rows of the data for display. Just to confirm, let's just count the number of rows in the Blaze expression:"
    161    ]
    162   },
    163   {
    164    "cell_type": "code",
    165    "execution_count": 3,
    166    "metadata": {
    167     "collapsed": false
    168    },
    169    "outputs": [
    170     {
    171      "data": {
    172       "text/html": [
    173        "2545"
    174       ],
    175       "text/plain": [
    176        "2545"
    177       ]
    178      },
    179      "execution_count": 3,
    180      "metadata": {},
    181      "output_type": "execute_result"
    182     }
    183    ],
    184    "source": [
    185     "fred_icsa.count()"
    186    ]
    187   },
    188   {
    189    "cell_type": "markdown",
    190    "metadata": {},
    191    "source": [
    192     "Let's go plot for fun. 2545 rows are definitely small enough to just put right into a Pandas Dataframe"
    193    ]
    194   },
    195   {
    196    "cell_type": "code",
    197    "execution_count": 4,
    198    "metadata": {
    199     "collapsed": false
    200    },
    201    "outputs": [
    202     {
    203      "data": {
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2X3W1RfH3L78cQNGZuDC1ptbp3FxkZ5fCYnWdVCvStl9Dw+0XPG7D4HD7BYfb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/apEmSfchYTlgp9c+f7Z+1mYoqVWI4Xi6o6V2OEksiKV7/+Eydyq5C6/QxuuLwX//ymMackv6+6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\n",
    205       "text/plain": [
    206        "<matplotlib.figure.Figure at 0x7f40aefa1890>"
    207       ]
    208      },
    209      "metadata": {},
    210      "output_type": "display_data"
    211     }
    212    ],
    213    "source": [
    214     "icsa_df = odo(fred_icsa, pd.DataFrame)\n",
    215     "\n",
    216     "icsa_df.plot(x='asof_date', y='value')\n",
    217     "plt.xlabel(\"As Of Date (asof_date)\")\n",
    218     "plt.ylabel(\"Number of Clais\")\n",
    219     "plt.title(\"United States Initial Unemployment Claims\")\n",
    220     "plt.legend().set_visible(False)"
    221    ]
    222   }
    223  ],
    224  "metadata": {
    225   "kernelspec": {
    226    "display_name": "Python 2",
    227    "language": "python",
    228    "name": "python2"
    229   },
    230   "language_info": {
    231    "codemirror_mode": {
    232     "name": "ipython",
    233     "version": 2
    234    },
    235    "file_extension": ".py",
    236    "mimetype": "text/x-python",
    237    "name": "python",
    238    "nbconvert_exporter": "python",
    239    "pygments_lexer": "ipython2",
    240    "version": "2.7.10"
    241   }
    242  },
    243  "nbformat": 4,
    244  "nbformat_minor": 0
    245 }