examples.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "from datetime import date\n",
    "start = date(2020, 2, 1)\n",
    "end = date(2020, 2, 29)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cash Index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CME Index</th>\n",
       "      <th>Index Change</th>\n",
       "      <th>Daily Avg Price</th>\n",
       "      <th>Price Change</th>\n",
       "      <th>Negotiated Head Count</th>\n",
       "      <th>Negotiated Carcass Weight</th>\n",
       "      <th>Negotiated Net Price</th>\n",
       "      <th>Market Formula Head Count</th>\n",
       "      <th>Market Formula Carcass Weight</th>\n",
       "      <th>Market Formula Net Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-03</th>\n",
       "      <td>61.10</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>61.09</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>6622</td>\n",
       "      <td>206.59</td>\n",
       "      <td>54.12</td>\n",
       "      <td>104916</td>\n",
       "      <td>213.94</td>\n",
       "      <td>61.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-05</th>\n",
       "      <td>60.61</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>60.00</td>\n",
       "      <td>-1.09</td>\n",
       "      <td>6612</td>\n",
       "      <td>202.87</td>\n",
       "      <td>55.82</td>\n",
       "      <td>120464</td>\n",
       "      <td>213.96</td>\n",
       "      <td>60.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-06</th>\n",
       "      <td>59.48</td>\n",
       "      <td>-1.13</td>\n",
       "      <td>59.13</td>\n",
       "      <td>-0.87</td>\n",
       "      <td>6892</td>\n",
       "      <td>202.75</td>\n",
       "      <td>55.18</td>\n",
       "      <td>119114</td>\n",
       "      <td>214.83</td>\n",
       "      <td>59.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>58.46</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>58.03</td>\n",
       "      <td>-1.10</td>\n",
       "      <td>11993</td>\n",
       "      <td>206.71</td>\n",
       "      <td>54.76</td>\n",
       "      <td>184142</td>\n",
       "      <td>215.76</td>\n",
       "      <td>58.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>57.93</td>\n",
       "      <td>-0.53</td>\n",
       "      <td>57.79</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>5246</td>\n",
       "      <td>194.59</td>\n",
       "      <td>53.42</td>\n",
       "      <td>123355</td>\n",
       "      <td>213.76</td>\n",
       "      <td>57.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-11</th>\n",
       "      <td>57.32</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>56.85</td>\n",
       "      <td>-0.94</td>\n",
       "      <td>4374</td>\n",
       "      <td>197.45</td>\n",
       "      <td>51.48</td>\n",
       "      <td>122981</td>\n",
       "      <td>215.03</td>\n",
       "      <td>57.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-12</th>\n",
       "      <td>56.70</td>\n",
       "      <td>-0.62</td>\n",
       "      <td>56.55</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>5372</td>\n",
       "      <td>203.97</td>\n",
       "      <td>50.82</td>\n",
       "      <td>126722</td>\n",
       "      <td>215.56</td>\n",
       "      <td>56.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-13</th>\n",
       "      <td>56.38</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>56.21</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>6262</td>\n",
       "      <td>206.76</td>\n",
       "      <td>50.79</td>\n",
       "      <td>132355</td>\n",
       "      <td>215.94</td>\n",
       "      <td>56.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>55.97</td>\n",
       "      <td>-0.41</td>\n",
       "      <td>55.78</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>5822</td>\n",
       "      <td>219.17</td>\n",
       "      <td>48.78</td>\n",
       "      <td>175052</td>\n",
       "      <td>214.83</td>\n",
       "      <td>56.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-17</th>\n",
       "      <td>55.66</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>55.47</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>5305</td>\n",
       "      <td>211.46</td>\n",
       "      <td>48.22</td>\n",
       "      <td>108411</td>\n",
       "      <td>214.65</td>\n",
       "      <td>55.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-18</th>\n",
       "      <td>55.54</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>55.61</td>\n",
       "      <td>0.14</td>\n",
       "      <td>6008</td>\n",
       "      <td>195.94</td>\n",
       "      <td>49.58</td>\n",
       "      <td>116240</td>\n",
       "      <td>213.32</td>\n",
       "      <td>55.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <td>55.78</td>\n",
       "      <td>0.24</td>\n",
       "      <td>55.94</td>\n",
       "      <td>0.33</td>\n",
       "      <td>7571</td>\n",
       "      <td>204.14</td>\n",
       "      <td>50.20</td>\n",
       "      <td>114773</td>\n",
       "      <td>213.65</td>\n",
       "      <td>56.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>55.87</td>\n",
       "      <td>0.09</td>\n",
       "      <td>55.80</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>7142</td>\n",
       "      <td>210.63</td>\n",
       "      <td>50.24</td>\n",
       "      <td>119490</td>\n",
       "      <td>214.47</td>\n",
       "      <td>56.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>55.91</td>\n",
       "      <td>0.04</td>\n",
       "      <td>55.98</td>\n",
       "      <td>0.18</td>\n",
       "      <td>15585</td>\n",
       "      <td>209.22</td>\n",
       "      <td>49.75</td>\n",
       "      <td>163556</td>\n",
       "      <td>214.56</td>\n",
       "      <td>56.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>56.16</td>\n",
       "      <td>0.25</td>\n",
       "      <td>56.41</td>\n",
       "      <td>0.43</td>\n",
       "      <td>8113</td>\n",
       "      <td>206.43</td>\n",
       "      <td>49.22</td>\n",
       "      <td>119884</td>\n",
       "      <td>214.14</td>\n",
       "      <td>56.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>56.41</td>\n",
       "      <td>0.25</td>\n",
       "      <td>56.41</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5808</td>\n",
       "      <td>198.59</td>\n",
       "      <td>49.74</td>\n",
       "      <td>117552</td>\n",
       "      <td>214.97</td>\n",
       "      <td>56.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>56.36</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>56.32</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>6969</td>\n",
       "      <td>199.75</td>\n",
       "      <td>51.38</td>\n",
       "      <td>122301</td>\n",
       "      <td>214.83</td>\n",
       "      <td>56.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>56.33</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>56.35</td>\n",
       "      <td>0.03</td>\n",
       "      <td>7498</td>\n",
       "      <td>204.78</td>\n",
       "      <td>50.66</td>\n",
       "      <td>119951</td>\n",
       "      <td>215.33</td>\n",
       "      <td>56.69</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            CME Index  Index Change  Daily Avg Price  Price Change  \\\n",
       "date                                                                 \n",
       "2020-02-03      61.10         -0.31            61.09         -0.02   \n",
       "2020-02-05      60.61         -0.49            60.00         -1.09   \n",
       "2020-02-06      59.48         -1.13            59.13         -0.87   \n",
       "2020-02-07      58.46         -1.02            58.03         -1.10   \n",
       "2020-02-10      57.93         -0.53            57.79         -0.24   \n",
       "2020-02-11      57.32         -0.61            56.85         -0.94   \n",
       "2020-02-12      56.70         -0.62            56.55         -0.30   \n",
       "2020-02-13      56.38         -0.32            56.21         -0.34   \n",
       "2020-02-14      55.97         -0.41            55.78         -0.43   \n",
       "2020-02-17      55.66         -0.31            55.47         -0.31   \n",
       "2020-02-18      55.54         -0.12            55.61          0.14   \n",
       "2020-02-19      55.78          0.24            55.94          0.33   \n",
       "2020-02-20      55.87          0.09            55.80         -0.14   \n",
       "2020-02-21      55.91          0.04            55.98          0.18   \n",
       "2020-02-24      56.16          0.25            56.41          0.43   \n",
       "2020-02-25      56.41          0.25            56.41          0.00   \n",
       "2020-02-26      56.36         -0.05            56.32         -0.09   \n",
       "2020-02-27      56.33         -0.03            56.35          0.03   \n",
       "\n",
       "            Negotiated Head Count  Negotiated Carcass Weight  \\\n",
       "date                                                           \n",
       "2020-02-03                   6622                     206.59   \n",
       "2020-02-05                   6612                     202.87   \n",
       "2020-02-06                   6892                     202.75   \n",
       "2020-02-07                  11993                     206.71   \n",
       "2020-02-10                   5246                     194.59   \n",
       "2020-02-11                   4374                     197.45   \n",
       "2020-02-12                   5372                     203.97   \n",
       "2020-02-13                   6262                     206.76   \n",
       "2020-02-14                   5822                     219.17   \n",
       "2020-02-17                   5305                     211.46   \n",
       "2020-02-18                   6008                     195.94   \n",
       "2020-02-19                   7571                     204.14   \n",
       "2020-02-20                   7142                     210.63   \n",
       "2020-02-21                  15585                     209.22   \n",
       "2020-02-24                   8113                     206.43   \n",
       "2020-02-25                   5808                     198.59   \n",
       "2020-02-26                   6969                     199.75   \n",
       "2020-02-27                   7498                     204.78   \n",
       "\n",
       "            Negotiated Net Price  Market Formula Head Count  \\\n",
       "date                                                          \n",
       "2020-02-03                 54.12                     104916   \n",
       "2020-02-05                 55.82                     120464   \n",
       "2020-02-06                 55.18                     119114   \n",
       "2020-02-07                 54.76                     184142   \n",
       "2020-02-10                 53.42                     123355   \n",
       "2020-02-11                 51.48                     122981   \n",
       "2020-02-12                 50.82                     126722   \n",
       "2020-02-13                 50.79                     132355   \n",
       "2020-02-14                 48.78                     175052   \n",
       "2020-02-17                 48.22                     108411   \n",
       "2020-02-18                 49.58                     116240   \n",
       "2020-02-19                 50.20                     114773   \n",
       "2020-02-20                 50.24                     119490   \n",
       "2020-02-21                 49.75                     163556   \n",
       "2020-02-24                 49.22                     119884   \n",
       "2020-02-25                 49.74                     117552   \n",
       "2020-02-26                 51.38                     122301   \n",
       "2020-02-27                 50.66                     119951   \n",
       "\n",
       "            Market Formula Carcass Weight  Market Formula Net Price  \n",
       "date                                                                 \n",
       "2020-02-03                         213.94                     61.51  \n",
       "2020-02-05                         213.96                     60.24  \n",
       "2020-02-06                         214.83                     59.35  \n",
       "2020-02-07                         215.76                     58.23  \n",
       "2020-02-10                         213.76                     57.96  \n",
       "2020-02-11                         215.03                     57.03  \n",
       "2020-02-12                         215.56                     56.78  \n",
       "2020-02-13                         215.94                     56.46  \n",
       "2020-02-14                         214.83                     56.02  \n",
       "2020-02-17                         214.65                     55.82  \n",
       "2020-02-18                         213.32                     55.90  \n",
       "2020-02-19                         213.65                     56.30  \n",
       "2020-02-20                         214.47                     56.13  \n",
       "2020-02-21                         214.56                     56.56  \n",
       "2020-02-24                         214.14                     56.88  \n",
       "2020-02-25                         214.97                     56.71  \n",
       "2020-02-26                         214.83                     56.58  \n",
       "2020-02-27                         215.33                     56.69  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from mpr import cash_index\n",
    "cash = await cash_index.get(start, end)\n",
    "cash"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f16ea8eb7f0>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cash['CME Index'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cutout Index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cutout Index</th>\n",
       "      <th>Index Change</th>\n",
       "      <th>Carcass Price</th>\n",
       "      <th>Price Change</th>\n",
       "      <th>Total Loads</th>\n",
       "      <th>Loin Price</th>\n",
       "      <th>Belly Price</th>\n",
       "      <th>Butt Price</th>\n",
       "      <th>Ham Price</th>\n",
       "      <th>Rib Price</th>\n",
       "      <th>Picnic Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-03</th>\n",
       "      <td>71.72</td>\n",
       "      <td>-1.35</td>\n",
       "      <td>69.84</td>\n",
       "      <td>0.27</td>\n",
       "      <td>328.30</td>\n",
       "      <td>69.19</td>\n",
       "      <td>94.83</td>\n",
       "      <td>75.96</td>\n",
       "      <td>57.18</td>\n",
       "      <td>146.83</td>\n",
       "      <td>49.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-04</th>\n",
       "      <td>69.95</td>\n",
       "      <td>-1.77</td>\n",
       "      <td>68.13</td>\n",
       "      <td>-1.71</td>\n",
       "      <td>391.54</td>\n",
       "      <td>68.22</td>\n",
       "      <td>90.12</td>\n",
       "      <td>73.47</td>\n",
       "      <td>55.72</td>\n",
       "      <td>146.83</td>\n",
       "      <td>49.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-05</th>\n",
       "      <td>68.82</td>\n",
       "      <td>-1.13</td>\n",
       "      <td>65.30</td>\n",
       "      <td>-2.83</td>\n",
       "      <td>306.49</td>\n",
       "      <td>66.21</td>\n",
       "      <td>79.26</td>\n",
       "      <td>70.75</td>\n",
       "      <td>55.63</td>\n",
       "      <td>142.26</td>\n",
       "      <td>48.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-06</th>\n",
       "      <td>67.69</td>\n",
       "      <td>-1.13</td>\n",
       "      <td>65.35</td>\n",
       "      <td>0.05</td>\n",
       "      <td>332.83</td>\n",
       "      <td>65.41</td>\n",
       "      <td>85.20</td>\n",
       "      <td>68.55</td>\n",
       "      <td>53.44</td>\n",
       "      <td>142.90</td>\n",
       "      <td>48.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>66.73</td>\n",
       "      <td>-0.96</td>\n",
       "      <td>64.81</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>346.00</td>\n",
       "      <td>65.16</td>\n",
       "      <td>82.14</td>\n",
       "      <td>72.23</td>\n",
       "      <td>53.72</td>\n",
       "      <td>140.59</td>\n",
       "      <td>46.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>65.81</td>\n",
       "      <td>-0.92</td>\n",
       "      <td>65.02</td>\n",
       "      <td>0.21</td>\n",
       "      <td>313.36</td>\n",
       "      <td>65.85</td>\n",
       "      <td>77.67</td>\n",
       "      <td>72.12</td>\n",
       "      <td>55.97</td>\n",
       "      <td>143.92</td>\n",
       "      <td>47.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-11</th>\n",
       "      <td>64.80</td>\n",
       "      <td>-1.01</td>\n",
       "      <td>63.65</td>\n",
       "      <td>-1.37</td>\n",
       "      <td>357.53</td>\n",
       "      <td>64.91</td>\n",
       "      <td>74.20</td>\n",
       "      <td>70.70</td>\n",
       "      <td>54.19</td>\n",
       "      <td>141.02</td>\n",
       "      <td>48.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-12</th>\n",
       "      <td>64.55</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>63.96</td>\n",
       "      <td>0.31</td>\n",
       "      <td>311.90</td>\n",
       "      <td>65.44</td>\n",
       "      <td>76.32</td>\n",
       "      <td>70.41</td>\n",
       "      <td>54.69</td>\n",
       "      <td>135.83</td>\n",
       "      <td>48.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-13</th>\n",
       "      <td>64.11</td>\n",
       "      <td>-0.44</td>\n",
       "      <td>63.10</td>\n",
       "      <td>-0.86</td>\n",
       "      <td>312.87</td>\n",
       "      <td>66.83</td>\n",
       "      <td>70.35</td>\n",
       "      <td>70.56</td>\n",
       "      <td>53.46</td>\n",
       "      <td>139.46</td>\n",
       "      <td>47.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>63.69</td>\n",
       "      <td>-0.42</td>\n",
       "      <td>62.75</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>313.29</td>\n",
       "      <td>63.83</td>\n",
       "      <td>69.45</td>\n",
       "      <td>71.58</td>\n",
       "      <td>55.26</td>\n",
       "      <td>137.74</td>\n",
       "      <td>48.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-17</th>\n",
       "      <td>63.28</td>\n",
       "      <td>-0.41</td>\n",
       "      <td>62.86</td>\n",
       "      <td>0.11</td>\n",
       "      <td>296.66</td>\n",
       "      <td>63.79</td>\n",
       "      <td>71.67</td>\n",
       "      <td>71.84</td>\n",
       "      <td>53.95</td>\n",
       "      <td>137.86</td>\n",
       "      <td>50.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-18</th>\n",
       "      <td>63.59</td>\n",
       "      <td>0.31</td>\n",
       "      <td>65.01</td>\n",
       "      <td>2.15</td>\n",
       "      <td>365.53</td>\n",
       "      <td>65.70</td>\n",
       "      <td>73.38</td>\n",
       "      <td>71.04</td>\n",
       "      <td>59.86</td>\n",
       "      <td>138.36</td>\n",
       "      <td>48.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <td>63.60</td>\n",
       "      <td>0.01</td>\n",
       "      <td>64.01</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>319.62</td>\n",
       "      <td>65.20</td>\n",
       "      <td>71.39</td>\n",
       "      <td>71.50</td>\n",
       "      <td>57.29</td>\n",
       "      <td>138.88</td>\n",
       "      <td>48.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>63.85</td>\n",
       "      <td>0.25</td>\n",
       "      <td>64.44</td>\n",
       "      <td>0.43</td>\n",
       "      <td>289.35</td>\n",
       "      <td>65.89</td>\n",
       "      <td>70.40</td>\n",
       "      <td>72.13</td>\n",
       "      <td>59.02</td>\n",
       "      <td>137.16</td>\n",
       "      <td>49.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>64.30</td>\n",
       "      <td>0.45</td>\n",
       "      <td>65.00</td>\n",
       "      <td>0.56</td>\n",
       "      <td>318.34</td>\n",
       "      <td>66.77</td>\n",
       "      <td>68.73</td>\n",
       "      <td>72.39</td>\n",
       "      <td>62.59</td>\n",
       "      <td>135.85</td>\n",
       "      <td>49.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>64.93</td>\n",
       "      <td>0.63</td>\n",
       "      <td>66.32</td>\n",
       "      <td>1.32</td>\n",
       "      <td>276.90</td>\n",
       "      <td>67.27</td>\n",
       "      <td>72.81</td>\n",
       "      <td>73.94</td>\n",
       "      <td>63.38</td>\n",
       "      <td>137.73</td>\n",
       "      <td>49.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>65.17</td>\n",
       "      <td>0.24</td>\n",
       "      <td>65.97</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>400.34</td>\n",
       "      <td>67.09</td>\n",
       "      <td>71.19</td>\n",
       "      <td>73.59</td>\n",
       "      <td>62.93</td>\n",
       "      <td>136.59</td>\n",
       "      <td>50.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>65.27</td>\n",
       "      <td>0.10</td>\n",
       "      <td>64.49</td>\n",
       "      <td>-1.48</td>\n",
       "      <td>317.19</td>\n",
       "      <td>64.20</td>\n",
       "      <td>67.31</td>\n",
       "      <td>72.66</td>\n",
       "      <td>64.03</td>\n",
       "      <td>132.95</td>\n",
       "      <td>51.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>65.22</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>64.29</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>329.70</td>\n",
       "      <td>67.35</td>\n",
       "      <td>63.94</td>\n",
       "      <td>74.77</td>\n",
       "      <td>60.79</td>\n",
       "      <td>134.82</td>\n",
       "      <td>50.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-28</th>\n",
       "      <td>65.05</td>\n",
       "      <td>-0.17</td>\n",
       "      <td>64.12</td>\n",
       "      <td>-0.17</td>\n",
       "      <td>311.65</td>\n",
       "      <td>64.17</td>\n",
       "      <td>66.69</td>\n",
       "      <td>74.37</td>\n",
       "      <td>61.96</td>\n",
       "      <td>132.77</td>\n",
       "      <td>50.44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Cutout Index  Index Change  Carcass Price  Price Change  \\\n",
       "date                                                                  \n",
       "2020-02-03         71.72         -1.35          69.84          0.27   \n",
       "2020-02-04         69.95         -1.77          68.13         -1.71   \n",
       "2020-02-05         68.82         -1.13          65.30         -2.83   \n",
       "2020-02-06         67.69         -1.13          65.35          0.05   \n",
       "2020-02-07         66.73         -0.96          64.81         -0.54   \n",
       "2020-02-10         65.81         -0.92          65.02          0.21   \n",
       "2020-02-11         64.80         -1.01          63.65         -1.37   \n",
       "2020-02-12         64.55         -0.25          63.96          0.31   \n",
       "2020-02-13         64.11         -0.44          63.10         -0.86   \n",
       "2020-02-14         63.69         -0.42          62.75         -0.35   \n",
       "2020-02-17         63.28         -0.41          62.86          0.11   \n",
       "2020-02-18         63.59          0.31          65.01          2.15   \n",
       "2020-02-19         63.60          0.01          64.01         -1.00   \n",
       "2020-02-20         63.85          0.25          64.44          0.43   \n",
       "2020-02-21         64.30          0.45          65.00          0.56   \n",
       "2020-02-24         64.93          0.63          66.32          1.32   \n",
       "2020-02-25         65.17          0.24          65.97         -0.35   \n",
       "2020-02-26         65.27          0.10          64.49         -1.48   \n",
       "2020-02-27         65.22         -0.05          64.29         -0.20   \n",
       "2020-02-28         65.05         -0.17          64.12         -0.17   \n",
       "\n",
       "            Total Loads  Loin Price  Belly Price  Butt Price  Ham Price  \\\n",
       "date                                                                      \n",
       "2020-02-03       328.30       69.19        94.83       75.96      57.18   \n",
       "2020-02-04       391.54       68.22        90.12       73.47      55.72   \n",
       "2020-02-05       306.49       66.21        79.26       70.75      55.63   \n",
       "2020-02-06       332.83       65.41        85.20       68.55      53.44   \n",
       "2020-02-07       346.00       65.16        82.14       72.23      53.72   \n",
       "2020-02-10       313.36       65.85        77.67       72.12      55.97   \n",
       "2020-02-11       357.53       64.91        74.20       70.70      54.19   \n",
       "2020-02-12       311.90       65.44        76.32       70.41      54.69   \n",
       "2020-02-13       312.87       66.83        70.35       70.56      53.46   \n",
       "2020-02-14       313.29       63.83        69.45       71.58      55.26   \n",
       "2020-02-17       296.66       63.79        71.67       71.84      53.95   \n",
       "2020-02-18       365.53       65.70        73.38       71.04      59.86   \n",
       "2020-02-19       319.62       65.20        71.39       71.50      57.29   \n",
       "2020-02-20       289.35       65.89        70.40       72.13      59.02   \n",
       "2020-02-21       318.34       66.77        68.73       72.39      62.59   \n",
       "2020-02-24       276.90       67.27        72.81       73.94      63.38   \n",
       "2020-02-25       400.34       67.09        71.19       73.59      62.93   \n",
       "2020-02-26       317.19       64.20        67.31       72.66      64.03   \n",
       "2020-02-27       329.70       67.35        63.94       74.77      60.79   \n",
       "2020-02-28       311.65       64.17        66.69       74.37      61.96   \n",
       "\n",
       "            Rib Price  Picnic Price  \n",
       "date                                 \n",
       "2020-02-03     146.83         49.91  \n",
       "2020-02-04     146.83         49.32  \n",
       "2020-02-05     142.26         48.83  \n",
       "2020-02-06     142.90         48.92  \n",
       "2020-02-07     140.59         46.10  \n",
       "2020-02-10     143.92         47.31  \n",
       "2020-02-11     141.02         48.72  \n",
       "2020-02-12     135.83         48.73  \n",
       "2020-02-13     139.46         47.79  \n",
       "2020-02-14     137.74         48.54  \n",
       "2020-02-17     137.86         50.03  \n",
       "2020-02-18     138.36         48.74  \n",
       "2020-02-19     138.88         48.99  \n",
       "2020-02-20     137.16         49.02  \n",
       "2020-02-21     135.85         49.50  \n",
       "2020-02-24     137.73         49.21  \n",
       "2020-02-25     136.59         50.79  \n",
       "2020-02-26     132.95         51.00  \n",
       "2020-02-27     134.82         50.21  \n",
       "2020-02-28     132.77         50.44  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from mpr import cutout_index\n",
    "cutout = await cutout_index.get(start, end)\n",
    "cutout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f16ea8867c0>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cutout['Cutout Index'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Purchases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Purchase Index</th>\n",
       "      <th>Index Change</th>\n",
       "      <th>Daily Avg Price</th>\n",
       "      <th>Price Change</th>\n",
       "      <th>Negotiated Head Count</th>\n",
       "      <th>Negotiated Price</th>\n",
       "      <th>Negotiated Low</th>\n",
       "      <th>Negotiated High</th>\n",
       "      <th>Market Formula Head Count</th>\n",
       "      <th>Market Formula Price</th>\n",
       "      <th>Market Formula Low</th>\n",
       "      <th>Market Formula High</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-03</th>\n",
       "      <td>59.71</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>58.91</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>3571</td>\n",
       "      <td>52.85</td>\n",
       "      <td>45.00</td>\n",
       "      <td>54.23</td>\n",
       "      <td>128022</td>\n",
       "      <td>59.08</td>\n",
       "      <td>52.49</td>\n",
       "      <td>69.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-04</th>\n",
       "      <td>59.23</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>58.06</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>9230</td>\n",
       "      <td>53.14</td>\n",
       "      <td>46.00</td>\n",
       "      <td>55.00</td>\n",
       "      <td>131613</td>\n",
       "      <td>58.41</td>\n",
       "      <td>51.68</td>\n",
       "      <td>67.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-05</th>\n",
       "      <td>58.54</td>\n",
       "      <td>-0.69</td>\n",
       "      <td>56.71</td>\n",
       "      <td>-1.35</td>\n",
       "      <td>8650</td>\n",
       "      <td>50.01</td>\n",
       "      <td>44.00</td>\n",
       "      <td>54.23</td>\n",
       "      <td>132870</td>\n",
       "      <td>57.15</td>\n",
       "      <td>49.27</td>\n",
       "      <td>69.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-06</th>\n",
       "      <td>57.82</td>\n",
       "      <td>-0.72</td>\n",
       "      <td>56.01</td>\n",
       "      <td>-0.70</td>\n",
       "      <td>5476</td>\n",
       "      <td>50.19</td>\n",
       "      <td>44.00</td>\n",
       "      <td>51.52</td>\n",
       "      <td>132926</td>\n",
       "      <td>56.25</td>\n",
       "      <td>47.65</td>\n",
       "      <td>64.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>56.84</td>\n",
       "      <td>-0.98</td>\n",
       "      <td>55.34</td>\n",
       "      <td>-0.67</td>\n",
       "      <td>7423</td>\n",
       "      <td>50.22</td>\n",
       "      <td>44.00</td>\n",
       "      <td>53.50</td>\n",
       "      <td>199811</td>\n",
       "      <td>55.53</td>\n",
       "      <td>48.41</td>\n",
       "      <td>65.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>56.11</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>54.76</td>\n",
       "      <td>-0.58</td>\n",
       "      <td>6231</td>\n",
       "      <td>49.94</td>\n",
       "      <td>44.00</td>\n",
       "      <td>51.64</td>\n",
       "      <td>134715</td>\n",
       "      <td>54.98</td>\n",
       "      <td>47.15</td>\n",
       "      <td>62.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-11</th>\n",
       "      <td>55.41</td>\n",
       "      <td>-0.70</td>\n",
       "      <td>54.29</td>\n",
       "      <td>-0.47</td>\n",
       "      <td>9385</td>\n",
       "      <td>49.87</td>\n",
       "      <td>44.00</td>\n",
       "      <td>51.66</td>\n",
       "      <td>132855</td>\n",
       "      <td>54.60</td>\n",
       "      <td>46.03</td>\n",
       "      <td>61.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-12</th>\n",
       "      <td>54.89</td>\n",
       "      <td>-0.52</td>\n",
       "      <td>53.91</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>8285</td>\n",
       "      <td>48.40</td>\n",
       "      <td>42.00</td>\n",
       "      <td>51.64</td>\n",
       "      <td>141154</td>\n",
       "      <td>54.23</td>\n",
       "      <td>45.58</td>\n",
       "      <td>61.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-13</th>\n",
       "      <td>54.40</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>53.34</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>8987</td>\n",
       "      <td>48.64</td>\n",
       "      <td>42.00</td>\n",
       "      <td>51.64</td>\n",
       "      <td>140564</td>\n",
       "      <td>53.64</td>\n",
       "      <td>45.91</td>\n",
       "      <td>61.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>53.87</td>\n",
       "      <td>-0.53</td>\n",
       "      <td>53.28</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>7066</td>\n",
       "      <td>48.51</td>\n",
       "      <td>44.00</td>\n",
       "      <td>52.90</td>\n",
       "      <td>179485</td>\n",
       "      <td>53.47</td>\n",
       "      <td>46.82</td>\n",
       "      <td>60.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-17</th>\n",
       "      <td>53.62</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>53.35</td>\n",
       "      <td>0.07</td>\n",
       "      <td>3252</td>\n",
       "      <td>48.00</td>\n",
       "      <td>44.00</td>\n",
       "      <td>53.60</td>\n",
       "      <td>120646</td>\n",
       "      <td>53.49</td>\n",
       "      <td>47.64</td>\n",
       "      <td>59.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-18</th>\n",
       "      <td>53.42</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>53.22</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>13303</td>\n",
       "      <td>49.64</td>\n",
       "      <td>45.00</td>\n",
       "      <td>53.00</td>\n",
       "      <td>125121</td>\n",
       "      <td>53.60</td>\n",
       "      <td>45.98</td>\n",
       "      <td>61.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <td>53.37</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>53.66</td>\n",
       "      <td>0.44</td>\n",
       "      <td>10980</td>\n",
       "      <td>50.35</td>\n",
       "      <td>45.00</td>\n",
       "      <td>52.00</td>\n",
       "      <td>130715</td>\n",
       "      <td>53.94</td>\n",
       "      <td>48.18</td>\n",
       "      <td>60.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>53.45</td>\n",
       "      <td>0.08</td>\n",
       "      <td>53.82</td>\n",
       "      <td>0.16</td>\n",
       "      <td>7774</td>\n",
       "      <td>49.78</td>\n",
       "      <td>45.00</td>\n",
       "      <td>52.50</td>\n",
       "      <td>123949</td>\n",
       "      <td>54.07</td>\n",
       "      <td>47.79</td>\n",
       "      <td>61.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>53.60</td>\n",
       "      <td>0.15</td>\n",
       "      <td>53.85</td>\n",
       "      <td>0.03</td>\n",
       "      <td>7130</td>\n",
       "      <td>49.75</td>\n",
       "      <td>46.25</td>\n",
       "      <td>53.00</td>\n",
       "      <td>177125</td>\n",
       "      <td>54.01</td>\n",
       "      <td>47.66</td>\n",
       "      <td>61.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>53.72</td>\n",
       "      <td>0.12</td>\n",
       "      <td>54.04</td>\n",
       "      <td>0.19</td>\n",
       "      <td>9647</td>\n",
       "      <td>48.71</td>\n",
       "      <td>42.00</td>\n",
       "      <td>52.50</td>\n",
       "      <td>126991</td>\n",
       "      <td>54.44</td>\n",
       "      <td>47.77</td>\n",
       "      <td>62.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>53.82</td>\n",
       "      <td>0.10</td>\n",
       "      <td>53.75</td>\n",
       "      <td>-0.29</td>\n",
       "      <td>18190</td>\n",
       "      <td>49.60</td>\n",
       "      <td>45.00</td>\n",
       "      <td>51.00</td>\n",
       "      <td>128707</td>\n",
       "      <td>54.34</td>\n",
       "      <td>48.71</td>\n",
       "      <td>63.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>53.89</td>\n",
       "      <td>0.07</td>\n",
       "      <td>54.03</td>\n",
       "      <td>0.28</td>\n",
       "      <td>15700</td>\n",
       "      <td>50.02</td>\n",
       "      <td>45.00</td>\n",
       "      <td>52.00</td>\n",
       "      <td>124595</td>\n",
       "      <td>54.54</td>\n",
       "      <td>47.60</td>\n",
       "      <td>61.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>53.93</td>\n",
       "      <td>0.04</td>\n",
       "      <td>54.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11818</td>\n",
       "      <td>50.34</td>\n",
       "      <td>45.00</td>\n",
       "      <td>52.25</td>\n",
       "      <td>133961</td>\n",
       "      <td>54.36</td>\n",
       "      <td>48.84</td>\n",
       "      <td>61.19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Purchase Index  Index Change  Daily Avg Price  Price Change  \\\n",
       "date                                                                      \n",
       "2020-02-03           59.71         -0.30            58.91         -0.11   \n",
       "2020-02-04           59.23         -0.48            58.06         -0.85   \n",
       "2020-02-05           58.54         -0.69            56.71         -1.35   \n",
       "2020-02-06           57.82         -0.72            56.01         -0.70   \n",
       "2020-02-07           56.84         -0.98            55.34         -0.67   \n",
       "2020-02-10           56.11         -0.73            54.76         -0.58   \n",
       "2020-02-11           55.41         -0.70            54.29         -0.47   \n",
       "2020-02-12           54.89         -0.52            53.91         -0.38   \n",
       "2020-02-13           54.40         -0.49            53.34         -0.57   \n",
       "2020-02-14           53.87         -0.53            53.28         -0.06   \n",
       "2020-02-17           53.62         -0.25            53.35          0.07   \n",
       "2020-02-18           53.42         -0.20            53.22         -0.13   \n",
       "2020-02-19           53.37         -0.05            53.66          0.44   \n",
       "2020-02-20           53.45          0.08            53.82          0.16   \n",
       "2020-02-21           53.60          0.15            53.85          0.03   \n",
       "2020-02-24           53.72          0.12            54.04          0.19   \n",
       "2020-02-25           53.82          0.10            53.75         -0.29   \n",
       "2020-02-26           53.89          0.07            54.03          0.28   \n",
       "2020-02-27           53.93          0.04            54.03          0.00   \n",
       "\n",
       "            Negotiated Head Count  Negotiated Price  Negotiated Low  \\\n",
       "date                                                                  \n",
       "2020-02-03                   3571             52.85           45.00   \n",
       "2020-02-04                   9230             53.14           46.00   \n",
       "2020-02-05                   8650             50.01           44.00   \n",
       "2020-02-06                   5476             50.19           44.00   \n",
       "2020-02-07                   7423             50.22           44.00   \n",
       "2020-02-10                   6231             49.94           44.00   \n",
       "2020-02-11                   9385             49.87           44.00   \n",
       "2020-02-12                   8285             48.40           42.00   \n",
       "2020-02-13                   8987             48.64           42.00   \n",
       "2020-02-14                   7066             48.51           44.00   \n",
       "2020-02-17                   3252             48.00           44.00   \n",
       "2020-02-18                  13303             49.64           45.00   \n",
       "2020-02-19                  10980             50.35           45.00   \n",
       "2020-02-20                   7774             49.78           45.00   \n",
       "2020-02-21                   7130             49.75           46.25   \n",
       "2020-02-24                   9647             48.71           42.00   \n",
       "2020-02-25                  18190             49.60           45.00   \n",
       "2020-02-26                  15700             50.02           45.00   \n",
       "2020-02-27                  11818             50.34           45.00   \n",
       "\n",
       "            Negotiated High  Market Formula Head Count  Market Formula Price  \\\n",
       "date                                                                           \n",
       "2020-02-03            54.23                     128022                 59.08   \n",
       "2020-02-04            55.00                     131613                 58.41   \n",
       "2020-02-05            54.23                     132870                 57.15   \n",
       "2020-02-06            51.52                     132926                 56.25   \n",
       "2020-02-07            53.50                     199811                 55.53   \n",
       "2020-02-10            51.64                     134715                 54.98   \n",
       "2020-02-11            51.66                     132855                 54.60   \n",
       "2020-02-12            51.64                     141154                 54.23   \n",
       "2020-02-13            51.64                     140564                 53.64   \n",
       "2020-02-14            52.90                     179485                 53.47   \n",
       "2020-02-17            53.60                     120646                 53.49   \n",
       "2020-02-18            53.00                     125121                 53.60   \n",
       "2020-02-19            52.00                     130715                 53.94   \n",
       "2020-02-20            52.50                     123949                 54.07   \n",
       "2020-02-21            53.00                     177125                 54.01   \n",
       "2020-02-24            52.50                     126991                 54.44   \n",
       "2020-02-25            51.00                     128707                 54.34   \n",
       "2020-02-26            52.00                     124595                 54.54   \n",
       "2020-02-27            52.25                     133961                 54.36   \n",
       "\n",
       "            Market Formula Low  Market Formula High  \n",
       "date                                                 \n",
       "2020-02-03               52.49                69.34  \n",
       "2020-02-04               51.68                67.40  \n",
       "2020-02-05               49.27                69.10  \n",
       "2020-02-06               47.65                64.55  \n",
       "2020-02-07               48.41                65.44  \n",
       "2020-02-10               47.15                62.46  \n",
       "2020-02-11               46.03                61.74  \n",
       "2020-02-12               45.58                61.48  \n",
       "2020-02-13               45.91                61.35  \n",
       "2020-02-14               46.82                60.33  \n",
       "2020-02-17               47.64                59.74  \n",
       "2020-02-18               45.98                61.04  \n",
       "2020-02-19               48.18                60.78  \n",
       "2020-02-20               47.79                61.15  \n",
       "2020-02-21               47.66                61.74  \n",
       "2020-02-24               47.77                62.88  \n",
       "2020-02-25               48.71                63.01  \n",
       "2020-02-26               47.60                61.68  \n",
       "2020-02-27               48.84                61.19  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from mpr import purchase_index\n",
    "purchases = await purchase_index.get(start, end)\n",
    "purchases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f16ea820c70>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "purchases['Purchase Index'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bacon Index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Bacon Index</th>\n",
       "      <th>Index Change</th>\n",
       "      <th>Total Weight</th>\n",
       "      <th>Negotiated Price</th>\n",
       "      <th>Negotiated Weight</th>\n",
       "      <th>Formula Price</th>\n",
       "      <th>Formula Weight</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>111.13</td>\n",
       "      <td>-11.56</td>\n",
       "      <td>17895632</td>\n",
       "      <td>99.18</td>\n",
       "      <td>4760964</td>\n",
       "      <td>115.46</td>\n",
       "      <td>13134668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-10</th>\n",
       "      <td>113.85</td>\n",
       "      <td>2.72</td>\n",
       "      <td>20233597</td>\n",
       "      <td>106.61</td>\n",
       "      <td>4643246</td>\n",
       "      <td>116.00</td>\n",
       "      <td>15590351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-17</th>\n",
       "      <td>125.40</td>\n",
       "      <td>11.55</td>\n",
       "      <td>18967339</td>\n",
       "      <td>120.56</td>\n",
       "      <td>2045559</td>\n",
       "      <td>125.99</td>\n",
       "      <td>16921780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-24</th>\n",
       "      <td>141.99</td>\n",
       "      <td>16.59</td>\n",
       "      <td>18454505</td>\n",
       "      <td>132.25</td>\n",
       "      <td>2358924</td>\n",
       "      <td>143.41</td>\n",
       "      <td>16095581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-31</th>\n",
       "      <td>143.34</td>\n",
       "      <td>1.35</td>\n",
       "      <td>17574430</td>\n",
       "      <td>125.23</td>\n",
       "      <td>1691238</td>\n",
       "      <td>145.27</td>\n",
       "      <td>15883192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>124.58</td>\n",
       "      <td>-18.76</td>\n",
       "      <td>18457974</td>\n",
       "      <td>105.49</td>\n",
       "      <td>2218677</td>\n",
       "      <td>127.19</td>\n",
       "      <td>16239297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>104.40</td>\n",
       "      <td>-20.18</td>\n",
       "      <td>16902103</td>\n",
       "      <td>87.94</td>\n",
       "      <td>3302660</td>\n",
       "      <td>108.39</td>\n",
       "      <td>13599443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>97.55</td>\n",
       "      <td>-6.85</td>\n",
       "      <td>18475229</td>\n",
       "      <td>86.38</td>\n",
       "      <td>2602829</td>\n",
       "      <td>99.38</td>\n",
       "      <td>15872400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Bacon Index  Index Change  Total Weight  Negotiated Price  \\\n",
       "date                                                                    \n",
       "2020-01-03       111.13        -11.56      17895632             99.18   \n",
       "2020-01-10       113.85          2.72      20233597            106.61   \n",
       "2020-01-17       125.40         11.55      18967339            120.56   \n",
       "2020-01-24       141.99         16.59      18454505            132.25   \n",
       "2020-01-31       143.34          1.35      17574430            125.23   \n",
       "2020-02-07       124.58        -18.76      18457974            105.49   \n",
       "2020-02-14       104.40        -20.18      16902103             87.94   \n",
       "2020-02-21        97.55         -6.85      18475229             86.38   \n",
       "\n",
       "            Negotiated Weight  Formula Price  Formula Weight  \n",
       "date                                                          \n",
       "2020-01-03            4760964         115.46        13134668  \n",
       "2020-01-10            4643246         116.00        15590351  \n",
       "2020-01-17            2045559         125.99        16921780  \n",
       "2020-01-24            2358924         143.41        16095581  \n",
       "2020-01-31            1691238         145.27        15883192  \n",
       "2020-02-07            2218677         127.19        16239297  \n",
       "2020-02-14            3302660         108.39        13599443  \n",
       "2020-02-21            2602829          99.38        15872400  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from mpr import bacon_index\n",
    "bacon = await bacon_index.get(date(2020, 1, 1), end)\n",
    "bacon"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": []
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}