tak-akashi/IMM_Position_Download&Draw-Treasury.ipynb

## IMM_Position_Download&Draw-Treasury.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import urllib3\n",
    "import requests\n",
    "import zipfile, io\n",
    "#from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "urllib3.disable_warnings()\n",
    "url = 'https://www.cftc.gov/files/dea/history/deacot2017.zip'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# requests\n",
    "res = requests.get(url)\n",
    "z = zipfile.ZipFile(io.BytesIO(res.content))\n",
    "z.extractall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('annual.txt') as f:\n",
    "\tdata = f.readlines()\n",
    "\n",
    "listy = []\n",
    "\n",
    "for i in range(len(data)):\n",
    "\tif '10-YEAR U.S. TREASURY NOTES - CHICAGO BOARD OF TRADE' in data[i]:\n",
    "\t\tline_data = data[i].split(',')\n",
    "\t\tdt = datetime.datetime.strptime(line_data[2],'%Y-%m-%d')\n",
    "\t\tlisty.append([dt,int(line_data[8])-int(line_data[9])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "urllib3.disable_warnings()\n",
    "url = 'https://www.cftc.gov/files/dea/history/deacot2018.zip'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# requests\n",
    "res = requests.get(url)\n",
    "z = zipfile.ZipFile(io.BytesIO(res.content))\n",
    "z.extractall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('annual.txt') as f:\n",
    "\tdata = f.readlines()\n",
    "\n",
    "for i in range(len(data)):\n",
    "\tif '10-YEAR U.S. TREASURY NOTES - CHICAGO BOARD OF TRADE' in data[i]:\n",
    "\t\tline_data = data[i].split(',')\n",
    "\t\tdt = datetime.datetime.strptime(line_data[2],'%Y-%m-%d')\n",
    "\t\tlisty.append([dt,int(line_data[8])-int(line_data[9])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nSWrdurXTPF9fX7Vs2VKHDh2q9euvWrXK6W9vzpw5Dsu0bdtWH3/8sa699lqlpKSobdu2mjJlio4fP17r1505c+Yljym1OUnx66+/VrNmzS45nr+izp07y8/PT23bttWkSZM0Z84cDRo0yD7/UvUvH3tel/ofPHhQFovFoSfZlfz8fP3+97/Xd999V+lJ5N99953Ldpa3tWI78/Pz1aNHDw0aNOiSveidOnWq9Pd08Vjx6ta/Nvt0VFSUWrZsqfXr1+vdd9/Vww8/7PLvJS8vT8OGDdOaNWuUk5Ojjz/+WMOHD680oFfnvUe68IGysLBQ+/fv1yOPPKKvv/5av/nNbxy2//rrr7/kttdGdY+TtRUcHKywsDAdPHjQLesDJ4nCDcpPMvHy8rJfOcDLy8veQ1M+zKJVq1b617/+Vel6yt+oLjZu3Dj96U9/0qBBg3Trrbeqf//+lT5/4cKFDld3kc4PlbnYli1bdPLkScXHx+vcuXPy9/dXbGys3nnnHYcTgsrdeeedDo9vvfVWvfvuu6Y5QbTcPffco8GDB2vZsmVasGCBHn/8cc2fP19r1qxxGHpkBjWp6dtvv622bdvaH7s68SozM1PNmzdX7969de7cObVv314dOnTQO++8o169ejks265dO61bt06bNm3SvHnztGjRIr300ktKT0/XqFGjar1NTzzxhJ544gn745tuukkbN250aHu5adOm6fbbb9euXbs0btw4t3xtfu7cOT355JN6/vnn9eKLL+r+++93mF/+N1pZb5lhGHU6WWzQoEFOV41wte1RUVH67LPP9Pe//11z587VzJkztWjRIq1atUrx8fE1ft1HH33U6cocF2vVqlWN1ylVXqfKlO+nBQUF2r9/vxYsWKA33nhDH374ofz8/C5Z//Jpdan/jz/+qMDAwCqH35w7d07XXnutRo4cqeeee07333+/PD09Hb7t8PDwqNF+Uv7cyZMnKzY2Vjt37nQ5tO7dd9+ttGe54rCc6tS/Nvt0SUmJ7r//fmVkZGjjxo167rnn9Oabbzo9t7i4WHFxcWrSpIkmT56s6OhodejQodJOj+q890jnP8iuWrXK/jgsLEwvvvii7rnnHqe2u1tNjpO11apVK7d0eOA8AjrqrE2bNsrOzpaHh4c+/fRT+/Ts7Gz5+/vbr5Di7e2tmJiYGq37mmuuUUpKiqZPn17ltVZvvPHGKtefkZGhsrIyp14XX19fFRYWOoXE8gPvW2+9pUWLFukvf/mLw5UpasLHx0eSnC4TVv644njDmvL391dKSoqeeOIJLVu2TGPHjtWYMWPqfWxxTdWkpt27d6/yA0ZGRoZOnTrldHWXd955x6kXt1z//v3Vv39/7dixQ4899pgef/xx9evXTxEREZX+nqTzb/CuxvhOnDhRd911l7Zu3aoJEyZo3rx59istVBQbG6vY2Fjt2LFD48ePv+S21UTz5s01duxYzZkzR8OHD3eYV35Fh59//tnpeWfOnNHJkyfr1GsXHBxc7b9ti8WixMREJSYmKisrS4899pgeeugh/fjjj2rWrFmNXjc8PNztw806deqkwsJCHTt2rNq96BfvpwMGDNCQIUPUrl07vfTSSxo3bpxD/St+ICu/xGhd6m+xWGoU6lJTUxUZGam1a9eqWbNmysvLs8+LiIjQ4cOHXT7vp59+qrSdt912m26//XbNmjXL6ZsjyflqTpWpbv1ru08PGzZMMTExio6Odroa0cW8vLx03333KT09vdLLZparznuPdOGD7IkTJ5SYmKhHH33UofdcOr/9u3fvrnJdNVWb42RNGYZR6ZVuUHMMcUGddejQQdu3b3ea/vnnn1d6zeqaKD/I1vVrv7KyMr377rsaP368duzYYf/ZsGGDioqKXF66sfzAO3PmTLVu3VopKSm1fv3ya+1WfENxxxv0xby8vPSb3/xGSUlJDh+YzMKdNT158qQ+/PBDPf/88w6/0xUrVuiHH35wuh5yRb/85S+Vnp6us2fP2vfh0NBQ+fr6unzjryygtG/fXjExMfrd736nmJgYJScnuwz45a6//nq1bNmyxpcgrcrYsWOVn5+vdevWOUy3Wq1q27atNm/e7PSc8mlVDY+oD3FxcZo1a5ZOnTplH6fd0MrPpykff1wbERERslqt9nNwOnfuLIvFUmn9mzZtWqdvutq2bavjx49Xe1hbhw4d9MADD2jBggVOnRJdunTRv//9b+Xm5jpMLy0t1datWy+5n0yePFmZmZlO13avierWv7b7dM+ePTVgwACNGTOmyraMGDFCXbp0cfpGqrbKP8jGx8dr3LhxeuGFF5zOPejRo4e++uqrOp0TUlFdj5PV9d///tflN2eoHQI66mz06NHKysrSV199ZZ9WfpOj0aNHN2DLHG3dulU5OTlKSkpSdHS0/WfgwIHq3LnzJc9o9/X11Zw5c/Thhx/qrbfeqtXrR0ZGys/PT3//+98dpr/77ruyWCzq1q2b03MMw9Bdd92lG264Qbt27XK53vnz5+v77793mp6bm+t0s5JyaWlpCg8P1/Lly2u+IW7ijpq+9957Kisr0yOPPOLwOx0+fLiuueYah9/p1q1bXY67LQ8i5T1yFotF3bt3dzrhdteuXTp8+LC6d+9eaXssFosWLlyor7/+WvPnz6/VNtVFy5Yt9dvf/lZLly51Gu4wfvx4vffee/aTcqXzoWvOnDnq2rWrBgwYUK9te/fdd12GqYr1b2jR0dG66667NHPmTKee5JycnGqN2d25c6dOnz6tLl26SDr/AW7o0KFavHixw1Vsjhw5ohUrVujRRx+t8bcHF+vUqZMk6csvv6z2cyZNmqTNmzfbx3KXe+KJJ2SxWDR37lyH6StWrFB2drbTTbEudscddyg6OrrWV++Salb/2u7TWVlZevTRR6tsyy233KJ///vf9XKVoaefflotWrRw6qAYM2aMwsLC9NRTTzndVOrzzz/XkSNHavxaNTlO1lZ2drZycnLs+yLqjiEucCkvL8/+NVt5T+JXX31lvytkZGSkQkNDJZ2/OkPv3r01cOBATZkyRU2bNtXzzz+vVq1aOdywpr7t2bNHXl7Ou3TPnj3l6+urjIwMtWnTRjfddJPTMnfeeaeWLl2qoqKiSm+Ec++996pv37566qmndOedd9b4DfWaa67RhAkTNHPmTPn6+io2NlZ79uzRzJkzNWLECHXs2NHpOQcOHNB7770n6fw41/LepXJHjx7Vyy+/rKlTp2rUqFGKiYmRv7+/1qxZo4yMjEpPBFu8eLGys7P10ksv1WnsdV1VVdNt27a5vHNrbGysLBaLMjIydMsttziN9/Ty8tLAgQP19ttva/bs2ZJkH/eckJCggQMH6oYbbtC+ffv0/PPPa+jQobr55pvtz585c6b69++ve+65R7/+9a91/PhxPfvss+rQoUOVN37q2bOnfv3rX2v69Ol66KGHXJ5bUZ+eeuopLVq0yKkH//HHH9eqVasUFxeniRMnKiwsTMuXL9f27dvtd9atrZycHPux4WLXXnut/ZujVatW2c/1uP3229W2bVvt2LFDL7zwgpKTk011qcX58+dr4MCBuvnmmzV27Fh17dpVX331lRYtWqSbbrrJ6aTy8v00Pz9fX375pRYuXKhOnTo5nNfy3HPPqX///howYICSk5PtNyqyWq0ON4Gqja5duyoyMlLvvPOOfvnLX1brOZ07d1ZiYqJWr15tv+qJdH4c8YwZM/SHP/xBp06d0sCBA7Vjxw49//zzevzxx6tc/9NPP13nk+irW//63Kdroqr3HleaN2+u2bNnKykpSZmZmfYbPfn7++vll1/W/fffr1tvvVWjRo1SmzZt9Omnn2rhwoWaPn26/QZYe/bssV+Nqri42OHvMCIiwt5BU5PjZLmTJ0+6vMtpu3btXL5XrV69Wtdcc02lV1lDLVzm667jClF+A4bKfireOKOwsNB44oknjHbt2hmtW7c2hg8fbuTm5rqlLVXdtKaqtn711VdGWVmZER4ebjz++OMu17F582ZDkrF69WqHdVa8AcWXX35peHp6GhMmTKjVtpw7d85YuHCh0blzZ8PPz8+44YYbjKefftqw2Wwuly8rKzN+9atfGe3btzd27tzpchmbzWbMnj3biIuLM4KCgoyQkBBjwIABl7x5RlpamtG6dWtj+fLltdoOV2p7oyJXNS3/nVf2U1xcbJw+fdrw8fExZs2a5fL1li9fbkgydu3aZZ+2ceNG44EHHjBuuOEGw9/f37jpppuMWbNmOd0QpHzZXr16GVar1QgPDzceeugh48iRIw7LVHajoiNHjhjNmzc37rvvPpdtS0pKMtq0aeNyXk1UdkOYsWPHuvw7PXPmjPG///u/RmRkpBEYGGgkJCRUul+Vq86Niir7PVW8AdObb75pJCYmGtddd53RvHlzIzo62njxxRcv6w21quv06dPGuHHjjKioKKN58+ZGr169jOnTpxtnz561L1NxP23atKnRsWNH46mnnjKys7Od1vndd98Z999/v9G6dWvjuuuuM5KSkoxjx45V2oaa3KjohRdeMIKCgozjx4+7nO/qb3Pnzp2GJIcbFZX729/+ZsTGxhpWq9W4+eabjQULFjgtk5SU5HCTH8M4f8zq1q1bnW5UZBjVq79hVG+fLj/2uGrPs88+63SjIlf1MIzz+7qrGxVd6r3n4udWvJFQWVmZERMTY1x33XVGYWGhw7wDBw4Yw4YNM9q3b2+0bNnSGDhwoLFq1SqHZfr27Vvpa5e3szbHyUut19VN1Ww2mxEZGWn89re/dfkaqB2LYVxhF00GAAAOSkpK1KNHD/Xq1Usvv/xyQzcHV5Hp06dr6dKl+s9//lPnezrgAoa4AABwhfP29tbKlSt1++23q2PHjvZhEEB9+utf/6q0tDS98847hHM3owcdAIBGovxGWf/6178qPUkccIf8/Hx17txZ8+bNq/Iutqg5AjoAAI1IcXFxne+rAFQH+1r9qZeAvm3bNs2dO9d+6bRdu3Zp1apVKisrU0JCgv1ukGVlZVqxYoX27t0rf39/PfnkkwoLC5N0/pI9S5YsUWFhobp06aKkpCT7XcE2bdqktWvXysPDQ8OGDbNf2cJmsyk9PV2HDx9WUFCQkpOTXd5UBAAAADArt18H/fTp01qzZo39cj5nzpzRa6+9pilTpui5557Thg0blJ2dLen8bddLS0s1b948Pfzww0pPT7evJz09XSNGjNC8efN09uxZbdmyRdL54L5hwwbNmjVLU6ZM0cqVK3XmzBlJ529lGxERoXnz5ik2NlavvvqquzcPAAAAqFduD+ivvPKK7r33Xnl6ekqSdu/erR49eshqtcrHx0d9+/a137Fv27Ztio+Pl3T+Rgs2m02nT59WXl6eSkpK7NfajI+Pt9+cYNu2berXr5+8vb1ltVoVHR2tPXv2SJK2b9+uQYMGSZJ69+6t/fv3u3vzAAAAgHrl1qu4fPbZZ/L393e4I+Lx48cVEhKiNWvW6NixY+rWrZv9Bji5ubkKCQlRamqqRo8erZCQEPtd5YKDg3XgwAEtX75cU6dO1fHjx+3ri4qK0rJlyxQSEqKQkBD7PJvNJk9PT6WkpGjq1KmyWq0qKCio8oYy//3vf91ZhitOUFCQ022dr0bUwRk1cUQ9nFETR9TDGTW5gFo4uhrr0bp162ot57aAnpeXp/fff1/PPPOMw/TyO3kFBARIOn/r8vJp5f+Gh4fL39/fPq98WLyfn5/Cw8Mdli0XHBysFi1aKD8/3+G1PD09FR4eLh8fH1U2vD4rK0tZWVmSpNmzZysoKKhO236l8/LyuuprIFEHV6iJI+rhjJo4oh7OqMkF1MIR9aic2wL6p59+qqKiIs2YMUOSdOrUKU2ePFlDhgzRwYMH7bfHXrdunf2XERgYqJycHKWkpEg6f9vy8utoHj16VG3atFFycrK+//57+/SgoCDl5ORo6NChkqQVK1YoMjJS0vnrwNpsNqWmpqqsrEz5+fkue8/j4uIUFxdnf3y1fXqr6Gr8BOsKdXBGTRxRD2fUxBH1cEZNLqAWjq7GelS3B91tY9Dj4+M1f/58paWlKS0tTQEBAUpLS1NUVJR27typvLw8FRcXa/PmzYqJiZEgjHu0AAAgAElEQVQk3XLLLVq3bp0kad++ffLz85PVapXVapWvr699DPn69evVq1cvSVJMTIw2b94sm82mvLw8ffHFF4qKirLPW79+vSRp69at6ty5s7s2DwAAALgs6v1Oor6+vkpKStKMGTNkGIYSEhIUEhIiSYqNjdWhQ4c0fvx4NWvWTMnJyfbnjRkzRosXL1ZBQYG6du2q2NhYSVJoaKgGDx6sSZMmyWKxKCkpyX4NzsTERC1dulTjx49XUFCQxo4dW9+bBwAAALgVNyoSJ4lejV8xuUIdnFETR9TDGTVxRD2cUZMLqIWjq7Eel32ICwAAAIC6I6ADAAAAJkJABwAAAEyEgA4AAACYCAEdAAAAMBECOgAAAGAiBHQAAADARAjoAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEzEq6EbAODymJrZ1GnatMTiBmgJAAC4FHrQAQAAABMhoAMAAAAmQkAHAAAATISADgAAAJgIAR0AAAAwEQI6AAAAYCJcZhHAZVHxMo9c4hEAANfoQQcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMxKuhGwAAkjQ1s6nD42mJxQ3UEgAAGhY96AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIlwHHQBMrOL14SWuEQ8AjR0BHUCjR8gFAFxJCOgArnoEeACAmTAGHQAAADARetABuEXFXmh6oAEAqB160AEAAAAToQcdAK5ifPMBAOZDDzoAAABgIgR0AAAAwEQY4gLA1LgEIgDgakNAB4AGxAcQAEBFBHQAklwHxSWPNkBDAAC4yhHQAVzx6IWuP1zlBQAuP04SBQAAAEyEHnQAaMToAQeAKw896AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMhJNEgUaEEwIBALjy0YMOAAAAmAgBHQAAADARhrgAAGrtyZcLJF0YWsWwKgCoOwI6ANQRY/8BAO5EQAeuIARBAAAaP8agAwAAACZCQAcAAABMhCEuAHAFqzjsSWLoEwBc6ehBBwAAAEyEgA4AAACYCENcgMuI4QgAAKAqBHQA1XI1f7i4sO3nb8pztWw3AKBhMMQFAAAAMBG39qBnZWVp06ZNKiwsVHR0tEaOHClJ2rVrl1atWqWysjIlJCSof//+kqSysjKtWLFCe/fulb+/v5588kmFhYVJkrKzs7VkyRIVFhaqS5cuSkpKkofH+c8TmzZt0tq1a+Xh4aFhw4apR48ekiSbzab09HQdPnxYQUFBSk5OltVqdecmAgAAAPXKbT3oRUVFys3N1fTp0zV37lzt3btXe/bs0ZkzZ/Taa69pypQpeu6557RhwwZlZ2dLkrZs2aLS0lLNmzdPDz/8sNLT0+3rS09P14gRIzRv3jydPXtWW7ZskXQ+uG/YsEGzZs3SlClTtHLlSp05c0aSlJmZqYiICM2bN0+xsbF69dVX3bV5AAAAwGXhtoDu6+urBx98UF5eXvLy8lJkZKRyc3O1e/du9ejRQ1arVT4+Purbt6+2b98uSdq2bZvi4+MlSZ06dZLNZtPp06eVl5enkpISdezYUZIUHx+vbdu22Z/Tr18/eXt7y2q1Kjo6Wnv27JEkbd++XYMGDZIk9e7dW/v373fX5gEAAACXRb2cJHru3Dnt27dP8fHx2rFjh0JCQrRmzRodO3ZM3bp10+7duyVJubm5CgkJUWpqqkaPHq2QkBDl5uZKkoKDg3XgwAEtX75cU6dO1fHjxyVJx48fV1RUlJYtW6aQkBCFhITY59lsNnl6eiolJUVTp06V1WpVQUGBmjVr5tC+rKwsZWVlSZJmz56toKCg+ijDFcPLy+uqr4F0uepQ4DSlZq/p+Hzn515qflWv7TzfsSY1e37N2nap+dWpWc23rS7za7ptT77sOH/Joxcfk8zd9rrPv7pwPHVGTS6gFo6oR+XqJaCvXr1a3bp1U6tWrWSxWCRJAQEBkiTDMOzTyv8NDw+Xv7+/fZ5hGJIkPz8/hYeHOyxbLjg4WC1atFB+fr59msVikaenp8LDw+Xj42NfT0VxcXGKi4uzPy7/UHC1CgoKuuprIF2uOjhfCaVmr+n4fOfnXmp+Va/tPL+0tPSiZWr2/Jq17VLzq1Ozmm9bXea7b9vc37aq5ru37dWZf3XheOqMmlxALRxdjfVo3bp1tZZz+1VcsrKy9OOPP2r48OGSpMDAQOXk5KhPnz4aMmSIcnJy7J+WyuelpKQoPDxcR48eVWBgoIKCgnT06FG1adNGycnJys7OVmBgoKTzv8ycnBwNHTpUt956q7Kzs+3r8/b2ls1mU2pqqvz9/ZWfn+/Uew4AAACYmVsD+j//+U999tlnSklJsV9xJSoqSjt37lReXp6Ki4u1efNmxcTESJJuueUWrVu3TpK0b98++fn5yWq1ymq1ytfX1z6GfP369erVq5ckKSYmRps3b5bNZlNeXp6++OILRUVF2eetX79ekrR161Z17tzZnZsHAKiBqZlNnX4AAFVz2xCXo0ePavHixQoMDFRqaqokKSwsTBMmTFBSUpJmzJghwzCUkJCgkJAQSVJsbKwOHTqk8ePHq1mzZkpOTravb8yYMVq8eLEKCgrUtWtXxcbGSpJCQ0M1ePBgTZo0SRaLRUlJSWra9PxBPzExUUuXLtX48eMVFBSksWPHumvzAAAAgMvCbQE9JCREq1atcjmve/fu6t69u9N0Dw8PjR492uVzQkNDNWPGDJfz+vfvb7+W+sW8vb01bty4GrQaAAAAMBfuJAoAAACYCAEdAAAAMBECOgAAAGAi9XIddAC1U/EqF9MSixuoJQAAoKHQgw4AAACYCAEdAAAAMBECOgAAAGAiBHQAAADARAjoAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEyEgA4AAACYCAEdAAAAMBGvhm4AAACuTM1s6jRtWmJxA7QEAC4vetABAAAAEyGgAwAAACZCQAcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMhIAOAAAAmIhXQzcAAIArzdTMpk7TpiUWN0BLADRG9KADAAAAJkJABwAAAEyEgA4AAACYCAEdAAAAMBFOEgUAoAJOAgXQkOhBBwAAAEyEHnQAQIOglxoAXKMHHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAE/Fq6AYAANAQpmY2dXg8LbG4gVoCAI7oQQcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMhDuJAgAaJe4UCuBKRQ86AAAAYCL0oAMAcJlV7N2X6OEHcAE96AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMxKuhGwAAQGMzNbOp07RpicUN0BIAVyJ60AEAAAATIaADAAAAJtLohrhkZ2dryZIlKiwsVJcuXZSUlCQPDz6HAAAA4MrQ6JJrenq6RowYoXnz5uns2bPasmVLQzcJAAAAqDaLYRhGQzfCXfLy8jR79mzNmjVLknT48GG98cYbmjhx4iWf17t378vRPNNq0qSJzp4929DNaHCXow7f5Tp/Jm4XVFbp/Ivn1XV+TV9bkjq28rTXpKHaXtXr1qZtdZ3f0L8Xs7S9qvlX8rbVtm3lx5G6bltjwnvMBdTC0dVYj08//bRayzWqgH7o0CFlZmZqyJAhWr58uaZOnaqnn35ac+bMcVguKytLWVlZkqTZs2fr9ttvb4jm6sCRcw6PO7byrHRefc+/eF5d51+pbbdYLDIMo1637UpTXhOcRz2cURNH7qpHYzpGd2rt5VCTxrRttL168ytrW2Xvu9V9vrvafjl99NFH1Vqu0Y1BlyQ/Pz+Fh4dLOn+wrCguLk5xcXH2x6tWrbpsbbtYxctwXXwJrqou0eXu+RUv/1WX+Vdq24OCgpSbm1uv23alKa8JzqMezqiJI3fVozEdo5c82syhJo1p22h79eZX1rbK3ner+3x3td2MGtUY9KCgIB09elRt2rRRcnKysrOzFRgY2NDNAgAAAKqtUQV0q9UqX19f7d+/X5K0fv169erVq4FbBQAAAFRfoxviMmbMGC1evFgFBQXq2rWrYmNjG7pJAAAAQLU1uoAeGhqqGTNmNHQzAAAAgFppVENcAAAAgCsdAR0AAAAwEQI6AAAAYCIEdAAAAMBECOgAAACAiRDQAQAAABMhoAMAAAAmQkAHAAAATISADgAAAJgIAR0AAAAwEQI6AAAAYCIEdAAAAMBEvBq6AUBjMi2xuKGbAAAArnAEdAAATIYP+8DVjSEuAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEyEk0SBCjg5CwAANCR60AEAAAATIaADAAAAJkJABwAAAEyEMehADTA+HQAA1Dd60AEAAAAToQcdVx16wQEAgJnRgw4AAACYCAEdAAAAMBGGuAAA0MgwlA+4stGDDgAAAJgIAR0AAAAwEYa4AABwhWEIC9C40YMOAAAAmAgBHQAAADARhrgAAAA7hs8ADY8edAAAAMBECOgAAACAiRDQAQAAABNhDDoaHcZPAgCAKxk96AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIlwHHQAAVBv3mgDqHz3oAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEyEgA4AAACYCAEdAAAAMBECOgAAAGAiBHQAAADARAjoAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEyEgA4AAACYCAEdAAAAMBECOgAAAGAiBHQAAADARAjoAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEyEgA4AAACYCAEdAAAAMBECOgAAAGAiBHQAAADARAjoAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEyEgA4AAACYCAEdAAAAMBECOgAAAGAiXu5aUVZWljZt2qTCwkJFR0dr5MiR9nm7du3SqlWrVFZWpoSEBPXv31+SVFZWphUrVmjv3r3y9/fXk08+qbCwMElSdna2lixZosLCQnXp0kVJSUny8Dj/eWLTpk1au3atPDw8NGzYMPXo0UOSZLPZlJ6ersOHDysoKEjJycmyWq3u2kQAAACg3rkloBcVFSk3N1fTp0+XJE2aNEl79uxRt27ddObMGb322muaNm2afHx89Mwzz+jGG29UWFiYtmzZotLSUs2bN09ff/210tPTNW3aNElSenq6RowYoY4dO+rFF1/Uli1b1L9/f2VnZ2vDhg2aNWuWiouLNWXKFEVGRsrPz0+ZmZmKiIjQuHHj9Mknn+jVV19VcnKyOzYRJjItsbihmwAAAFBv3DLExdfXVw8++KC8vLzk5eWlyMhI5ebmSpJ2796tHj16yGq1ysfHR3379tX27dslSdu2bVN8fLwkqVOnTrLZbDp9+rTy8vJUUlKijh07SpLi4+O1bds2+3P69esnb29vWa1WRUdHa8+ePZKk7du3a9CgQZKk3r17a//+/e7YPAAAGo1picVOPwDMxW1DXMqdO3dO+/btswfv48ePKyQkRGvWrNGxY8fUrVs37d69W5KUm5urkJAQpaamavTo0QoJCbEH++DgYB04cEDLly/X1KlTdfz4cfv6oqKitGzZMoWEhCgkJMQ+z2azydPTUykpKZo6daqsVqsKCgrUrFkzhzZmZWUpKytLkjR79mwFBQW5uwzVVODwyLEdjvPqe75zDeoyv77bXj+8vLwacF8wJ2riiHo4oyaOqIdU8RjuXJMr+f2Httduvuu2Xdg3GnrbzKdaAX316tX2UF1RVFSU7r77bodlu3XrplatWkmSLBaLJCkgIECSZBiGfVr5v+Hh4fL397fPMwxDkuTn56fw8HCHZcsFBwerRYsWys/Pt0+zWCzy9PRUeHi4fHx87OupKC4uTnFxcfbH5R8KLr+mDo8c2+E4r77nO9egLvPru+31IygoqAH3BXOiJo6ohzNq4oh6SBWP4aWlpY3o/Ye2126+67Zd+Htp6G27fFq3bl2t5aoV0O+++26HEF6ZrKws/fjjjxo3bpx9WmBgoA4ePGg/aXTdunX2Ty6BgYHKyclRSkqKJOno0aMKDAy0/79NmzZKTk7W999/b58eFBSknJwcDR06VJK0YsUKRUZGSpK8vb1ls9mUmpqqsrIy5efnO/WeAwAAAGbmtsss/vOf/9Rnn32mlJQU+9VWpPM97Dt37lReXp6Ki4u1efNmxcTESJJuueUWrVu3TpK0b98++fn5yWq1ymq1ytfX1z6GfP369erVq5ckKSYmRps3b5bNZlNeXp6++OILRUVF2eetX79ekrR161Z17tzZXZsHAAAAXBZuGYN+9OhRLV68WIGBgUpNTZUkhYWFacKECfL19VVSUpJmzJghwzCUkJCgkJAQSVJsbKwOHTqk8ePHq1mzZg5XXBkzZowWL16sgoICde3aVbGxsZKk0NBQDR48WJMmTZLFYlFSUpKaNj3/1UViYqKWLl2q8ePHKygoSGPHjnXH5gEAAACXjVsCekhIiFatWlXp/O7du6t79+5O0z08PDR69GiXzwkNDdWMGTNczuvfv7/9WuoX8/b2dhheAwAAAFxp3H4VFwAAgPrCZSFxNSCgAwAAt3EO0FysAagpt50kCgAAAKDuCOgAAACAiRDQAQAAABMhoAMAAAAmQkAHAAAATISADgAAAJgIAR0AAAAwEQI6AAAAYCIEdAAAAMBECOgAAACAiRDQAQAAABMhoAMAAAAmQkAHAAAATISADgAAAJgIAR0AAAAwEQI6AAAAYCIEdAAAAMBECOgAAACAiRDQAQAAABMhoAMAAAAmQkAHAAAATISADgAAAJiIV0M3AAAAwAymJRY3dBMASfSgAwAAAKZCQAcAAABMhIAOAAAAmAgBHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAEyGgAwAAACZCQAcAAABMxKuhG4D6we2KAQBXIt6/AAI6TIiDMwAAuJoxxAUAAAAwEXrQ4Xb0gAMAANQeAR0uEbIBAKgZ3jvhLgxxAQAAAEyEgA4AAACYCENcAAAAqoEhLLhc6EEHAAAATISADgAAAJgIAR0AAAAwEQI6AAAAYCIEdAAAAMBEuIoLAAC4bLgSClA1etABAAAAE6EHHQAAoIHxzQIuRg86AAAAYCL0oAMAAMC0rsZvF+hBBwAAAEyEHnTUytX4aRYAAOByIKADAIBGgc4jNBYE9AbEgQQAAAAVMQYdAAAAMBECOgAAAGAiBHQAAADARBiDfpW6ePx7UFCQcnMZDw8AABqfK/GcP3rQAQAAABOhBx0AAAB10pC91FdiD3lVCOgAAOCq0BiDHBonhrgAAAAAJkJABwAAAEyEgA4AAACYCGPQAQAATI7x81cXetABAAAAE6EH/QrFJ2kAAK4sSx5tptzc3IZuBq4A9KADAAAAJkJABwAAAEyEIS4AAAC4JIbWXl70oAMAAAAmQkAHAAAATISADgAAAJiI28egb9u2TXPnztVbb71ln7Zr1y6tWrVKZWVlSkhIUP/+/SVJZWVlWrFihfbu3St/f389+eSTCgsLkyRlZ2dryZIlKiwsVJcuXZSUlCQPj/OfJzZt2qS1a9fKw8NDw4YNU48ePSRJNptN6enpOnz4sIKCgpScnCyr1eruTQQAAADqjVsD+unTp7VmzRq1bNnSPu3MmTN67bXXNG3aNPn4+OiZZ57RjTfeqLCwMG3ZskWlpaWaN2+evv76a6Wnp2vatGmSpPT0dI0YMUIdO3bUiy++qC1btqh///7Kzs7Whg0bNGvWLBUXF2vKlCmKjIyUn5+fMjMzFRERoXHjxumTTz7Rq6++quTkZHdu4mXDyRgAAABXJ7cOcXnllVd07733ytPT0z5t9+7d6tGjh6xWq3x8fNS3b19t375d0vne9vj4eElSp06dZLPZdPr0aeXl5amkpEQdO3aUJMXHx2vbtm325/Tr10/e3t6yWq2Kjo7Wnj17JEnbt2/XoEGDJEm9e/fW/v373bl5AAAAcLNpicVOP1c7t/Wgf/bZZ/L391e3bt0cph8/flwhISFas2aNjh07pm7dumn37t2SpNzcXIWEhCg1NVWjR49WSEiI/Q5bwcHBOnDggJYvX66pU6fq+PHj9vVFRUVp2bJlCgkJUUhIiH2ezWaTp6enUlJSNHXqVFmtVhUUFKhZs2YObcrKylJWVpYkafbs2QoKCnJXGa5IXl5el7kGBU5TzPA7uPx1MD9q4oh6OKMmjqiHM2pyQf3Woqr31oJLzKvO/Lpw3Tb2jcpVK6CvXr3aHqorioqK0oABA/T+++/rmWeecZpvsVgkSQEBAZIkwzDs08r/DQ8Pl7+/v32eYRiSJD8/P4WHhzssWy44OFgtWrRQfn6+w2t5enoqPDxcPj4+9vVUFBcXp7i4OPvjq/22u0FBQZe5Bk2dppjhd3D562B+1MQR9XBGTRxRD2fU5IL6rUVV761NLzGvOvPrwnXbrsZ9o3Xr1tVarloB/e6779bdd99d6fz169erqKhIM2bMkCSdOnVKkydP1h//+EcFBgbq4MGDGjlypCRp3bp19k9LgYGBysnJUUpKiiTp6NGjCgwMtP+/TZs2Sk5O1vfff2+fHhQUpJycHA0dOlSStGLFCkVGRkqSvL29ZbPZlJqaqrKyMuXn5zv1ngMAAABm5pYx6PHx8Zo/f77S0tKUlpamgIAApaWlyWq1KioqSjt37lReXp6Ki4u1efNmxcTESJJuueUWrVu3TpK0b98++fn5yWq1ymq1ytfX1z6GfP369erVq5ckKSYmRps3b5bNZlNeXp6++OILRUVF2eetX79ekrR161Z17tzZHZsHAAAAXDZuv8xiRb6+vkpKStKMGTNkGIYSEhIUEhIiSYqNjdWhQ4c0fvx4NWvWzOGKK2PGjNHixYtVUFCgrl27KjY2VpIUGhqqwYMHa9KkSbJYLEpKSlLTpue/OklMTNTSpUs1fvx4BQUFaezYsfW9eagFTv4AAMBceG82l3oJ6EuWLHF43L17d3Xv3t1pOQ8PD40ePdrlOkJDQ+1DZirq37+//VrqF/P29ta4ceNq0WIAAADAHLiTKAAAAGAiBHQAAADARAjoAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEyEgA4AAACYCAEdAAAAMBECOgAAAGAiBHQAAADARAjoAAAAgIkQ0AEAAAATIaADAAAAJkJABwAAAEzEq6EbAAAAgPo1LbG4oZuAGqAHHQAAADARAjoAAABgIgR0AAAAwEQI6AAAAICJENABAAAAEyGgAwAAACbCZRYBAACucFxGsXGhBx0AAAAwEQI6AAAAYCIEdAAAAMBEGIMOAACAesP4+JqjBx0AAAAwEQI6AAAAYCIEdAAAAMBECOgAAACAiRDQAQAAABMhoAMAAAAmQkAHAAAATISADgAAAJgIAR0AAAAwEQI6AAAAYCIEdAAAAMBECOgAAACAiRDQAQAAABMhoAMAAAAmQkAHAAAATISADgAAAJgIAR0AAAAwEYthGEZDNwIAAADAefSgQ6mpqQ3dBFOgDs6oiSPq4YyaOKIezqjJBdTCEfWoHAEdAAAAMBECOgAAAGAins8+++yzDd0INLzrr7++oZtgCtTBGTVxRD2cURNH1MMZNbmAWjiiHq5xkigAAABgIgxxAQAAAEyEgA4AAACYCAEdAAAAMBECeiNns9kaugmmQB2cURNH1MMR9XBWXFzc0E0wHWpyHnVwRk3qhqu4NGJZWVlatmyZWrZsqVatWqmsrEwWi6Whm3XZUQdn1MQR9XBEPZxt2bJFL7zwgq655hpdd9111ETUpBx1cEZN6o4e9EYqOztbhw8fVps2bfTJJ5/o3Llz8vDw0NV20R7q4IyaOKIejqiHsxMnTujEiROKjo7Wxo0bVVpaSk2oiSTq4Ao1cQ960BsRm80mLy8vSVKzZs0UHh6ujh076ttvv9WJEyfUoUMHGYbR6D/FUgdn1MQR9XBEPZydOXNGTZo0kST5+voqODhYMTEx2r9/v3744Qd16dKFmlylNaEOzqiJ+xHQG4Hi4mK9/vrr+vTTT2WxWOTj4yM/Pz/5+/vLarVKkj799FPdeOON8vPza7R/JNTBGTVxRD0cUQ9nNptNr732mj788EOdPXtWFotFAQEBatq0qby8vBQaGqrMzEx169ZNzZs3pyZXUU2ogzNqUn8Y4tIIvP322yopKVHfvn114MAB/fWvf3WY37FjR4WHh+sf//iHJMlisTTKr5qogzNq4oh6OKIeztauXauioiINGzZMhYWF/9/evQVFdR8OHP/ulV0W1gVEKBJYoyAXCSs3UZTQGDVqtLXFpNU0caqd6aQzbV7ax04f+pY66UybdqamZgxGE6w3YEg1GtFYo4ILKBFFQG6CV1iWmyyw5//A7Ib1YP5tBBfP/j5Pzgozv/3O2XMOZ3/nd/jggw8AUKvVuN1urFYrixcv5tNPPwXGm7jdbn8OedqJJuNEBznRZPqIK+jPuKGhISoqKvjFL37B3LlzWbBgAQ0NDTQ0NLBo0SLcbjc6nY6IiAiqqqq4e/cuZ8+eJSIiAovF4u/hTxnRQTq1aLkAABJYSURBVE408SV6+BI9fEmSxNjYGJWVlaxdu5a4uDgWLlxIY2Mj169fJy0tDbfbjVqtJikpiX//+9/cv3+fkydPYjabiYyM9PdbmHKiyTjRQU40mX7iCvozzmg0IkkSZ86cwW638/e//53CwkLsdjsOhwO1Wo1Go2FkZISWlhYqKiqw2WzEx8f7e+hTSnSQE018iR6+RA9fKpUKrVaLw+HAbrdTX1/PH/7wB7Zu3cpXX33FgwcP0Gg0ADgcDgYHBzl37hx5eXmkpKT4efTTQzQZJzrIiSbTT1xBf4Z5Vlcwm81cvHiR1NRUuru7SU5Oxul08vDhQ+Lj4+no6OBvf/sb+fn5/OY3vyEmJsbfQ59SooOcaOJL9PAlesh5VpqIiYmhpKSE73//+3R2dpKZmYnT6eTWrVskJyfT09PDu+++S15eHu+8845oEgBNRAc50WT6qSSlTyhUIM96op4bLZxOJ2VlZej1egoLCwHYvXs3WVlZvPDCCzx8+NB7A9izbuINJoHc4XFEE1+ihy/RQ+7RJgB79+5ldHSUbdu2AVBWVobFYmH58uUAuFwu9Hq9P4b7VARyk287xkDgdHgc0eTpEVNcZrB79+7hcrkAvDdmeeZ0qVQq6urqKCoqwmw28/LLL3PhwgXOnz9PfX097e3t3g+EwWB4pg+wbW1tVFVVAfjsOAOtw0TXrl2jpKSEoaEh72uB3KSzs5Pu7m6f1wK9x/37931eC+QeML6+u9Pp9Hnt0Sa7du1iYGCA1157jStXrnD8+HEuXbrEhQsXMBqN3t9TysmGaDKura2NkydP+rwWiB0munr1KsXFxT77kUBv8rSJKS4zkNPpZNeuXZSXl2O32wkPDycqKgpJklCr1XR3d/Phhx9y7tw5Fi9ejNVqxWQyMWfOHG7dusWxY8dYtWoVGRkZ/n4rT8ztdvPee+/R3NxMcnIyJpMJGD9RD6QOHm63mw8//JCTJ0/y3HPP8fzzz3vXng3EJoODg7z33nscP36cK1euEBYWRlRUFBCYPVwuF3/961/54osvqK2tRZIk75JngdgDoL+/n3/84x+Ul5dz7tw5QkJCiI2NBeTbyJIlS0hISECj0TB//nwGBgY4ffo0L730Erm5uX5+J1NHNPmG2+2mqKiI//znP7zwwgvMmjVr0mOt0jvANxcC9+/fz7Fjx0hKSsJqtaLT6bxXzQOtiT+JKS4zxMSv1YqLi3G73fzkJz+hrKyMU6dOsXPnTgBqa2spLi7GZrOxefNmfw55Wkz29eIHH3yATqdDr9ezZcsWAGpqajhw4IBiO0zkaSJJEkNDQ3z00Ufs2LHD+2AZj8uXL7N//34yMjIU3WTiNnL27Fmqqqp45513qKys5NKlS/zyl78EAmsb8WhpaaG8vJy3336b1tZWKisrcbvdFBYWUl9fz969exW/fTyqvLwch8PBli1bqKio4NSpU/z+979Ho9HQ0NDA/v37SU5O5rXXXvP3UKfVxM9NIDeZ2MHz7+LiYrq7u3G5XPz6178GUHyHiSYeY9xuN//85z8pLCwkPDzc5+caGxspKioiNTVV8U1mAnEFfYbw3LQ1OjqKw+Fg6dKlGI1GEhMTuXjxIrGxsYSHh6PT6cjPz/de4fKcxCqFpwOMX8kZHh7m6NGjrF27lqamJsxmMxERERgMBpYvX67YDhN5mqhUKtrb2zl+/DivvPIK586d49ChQwwMDBAeHk5kZCTLli1TfJOJ20hbWxuXLl1i1apV6HQ6ent70ev1hIWFBdQ24nlvHR0dVFVVUVBQgMPh8DYZGRkhMTGRpUuXBkQP+Ob99fX1kZiYiMViwWq18sUXXxAZGUlUVBQ6nY68vDwWL17s8ztK5HK5vH/UO51OFi5cGJBNJnZQqVSMjo5y4MABtm7dSl1dHQaDgejoaAwGA7m5uQHxefE0UalUdHZ28tlnn7Fx40bOnz9PUVERPT09BAUFYbVaycrKCogmM4E4QfezxsZG9uzZw40bN9Dr9URGRjJ37lxCQkKQJIm+vj4qKytZuXIler2e4OBggoKCvAv9e05UnnWPdggLC0OtVtPX18edO3dYs2YNIyMjnDx5kvb2dlJSUggJCVFch4kebWKxWAgJCaGjo4Ompiaam5tZuHAhdXV1NDc3k5qaitlsVmyTybYRq9XKnTt3qKiowG63c//+fa5fv05/fz9Wq5XQ0FDGxsZQqVSK69Hc3MzRo0ex2Wzeg6TL5WJwcJDu7m7sdjvDw8PExsZy8+ZNkpKSMJlMit0+YPImERERRERE4Ha7kSSJy5cvk5ubi8lkwmAwoNfrFd9k165d1NfX8/DhQ6Kjo3nuueewWCwB1WSyDhqNhrGxMVpaWlixYgUWi4Xi4mKamppIS0tT/DHm0SZz5swhPDycuro6bty4wd27d0lPT6ezs5Pz58+TlpbGrFmzFLtPnWlEXT8aHh7m448/Jj09HavVytmzZzl48CA6nc674wwKCvLuNAGfnYVS/nKdrMPhw4eB8aulY2NjOBwOamtruX79OoODgxiNRp8bVpRmsialpaUYDAaioqK4fv0669atY/Xq1axdu5b+/n4ePHgAKGvb8Jisx6FDhwAoLCxEp9Px6quvsm3bNlauXEltbS0dHR0AaDQaxfW4c+cOhw8f5rPPPuPMmTPe100mE0FBQbhcLhYtWkR+fj4Gg4Hu7m6CgoK8c2uV1gMmbyJJks8NaiqVirGxMYKDg71XT0GZnxkYP154pkQWFBRQV1fHnj17vP8HgdHk0Q5ff/21t8PAwABDQ0N0d3dz6dIl7t27x9DQECaTyefbS6WZrMnevXsByMzMpL6+nuzsbPLz81m3bh0mk4mbN28CytynzkTiBN2PWlpamD17Ni+99BIFBQW8/vrrVFdX09zcjFqtRq1Wc/XqVWJjY9FqtZSUlFBWVsbw8LC/hz6lHtfh5s2buN1ubt68yZ/+9CdmzZrF9u3bcTqdOJ1ORf/1PlmTyspKOjo6sNlsaLVavv76awBiY2Pp7e2VzRdUksl61NTU0NTUhMFgwGKxoNPpiIyMJCEhgaGhIUU/qc5kMvGzn/2MX/3qV5SUlPDw4UMAwsLCiIuL8z4YZPbs2VitVpxOJy6XS9EH1cmaTHy/arWaGzduEB0djdlspqSkhH379jEwMODHUU+v27dvExYWxurVq0lKSmLHjh1cu3aNpqYm7zEmEJo82mH79u1cu3aNxsZGQkJCuHv3Lu+++y5BQUH89re/pauri+7ubu+DdpRosiZXr16ltbWVjIwMwsLCsNvtAFgsFpxOp/dGYuHpEFNc/MhgMFBaWkpycjLFxcW4XC5SU1M5duwYy5YtA+DMmTO0tbXx+eef09vby8aNGzGbzX4e+dSarENycjIVFRXk5+fT1dXFm2++SU5ODmazGbVazdy5c72rlyjRZE1SUlL4/PPPeeWVVwgPD+eTTz6hr6+PvXv3Mn/+fDIyMhR7tedxPU6cOMHSpUv56quvaGhooKuri927dxMfH09OTo5ir/To9XqMRiNWq5Wamhq6urpYtGgRAJGRkWi1Wvbv34/D4WDfvn1kZWWRlJSkyBYej2sycZ5sdXU11dXVnD59GqfTyebNm7FYLH4e+fTR6/Xs27cPm83Gp59+yr1798jKyuLQoUMUFBQAgdFksg6ZmZmUlpZSUFBAT08PW7ZsITs7m/DwcIxGIzExMYpZYnQyj9s2Dh8+zKpVq5g3bx4HDhzgwYMHfPzxx8TExJCbm6vYfepMJE7Q/cTtdhMUFMTAwADNzc2kpaXR0dFBXl4etbW1xMbGYjabKS8v5/bt22zdupVNmzYRHBzs76FPqcd1WL58OVVVVSQmJrJs2TLv+9bpdMTHxyv65PzbmtjtduLi4pg/fz42mw2j0YjNZmPt2rWK3XF+22fFbreTkpLCggUL0Gq1NDY2sm7dOjZs2OC96UmpPCsvzJs3z3ugDQ0NRaPREBkZSWpqKjqdjoyMDF588UVFt/CYrMnECxrHjx+nra2Nbdu28cMf/tC7bKsSjY6OotfrGR4epqamhpUrV1JfX8/69ev58ssviYqKYvbs2Zw4cYLW1lbFNnlch1dffZVTp04RFxdHXl4ewcHB3mk/cXFxij45/7Ymp0+fJjo6mnnz5rFkyRLCw8NJS0tj/fr1it+nzjTKnSMwA3jm8k306A0nNpuN27dvo9Pp2Lx5s/cD4LmC8aMf/YidO3eSmpr69AY+xb5rB61W691JKu1Gne/aRK1WExISAkBMTAw2m4309PSnN/Bp8l17aDQa1Go1UVFRrFixgrfffpvMzMynOvbp8G09PNRqNW63m5iYGLKzsyktLUWSJEpKSoDxqU/Z2dnYbLanMubpNhVNNm3axF/+8hdSUlKeypj9wdPEs1LJmjVr6OzspL+/n7feeguA733ve95jzIYNGxTZ5L/pMHfuXO8DdZR8T5PHf9MkJiaG0NBQYHzKXEJCgvfbOeHpElfQp8mJEycoLi4mISHBuyLLxMfjlpSUcOfOHdLT0xkbG+PgwYMkJSVx8eJFOjs7yc7ORq/XP/Pzip+0Q25urvchCUoxVU2U4kl7LFmyJKB6lJaW0tXVhdVq9f5feno6O3fu5PTp04SGhpKeni57HPez7EmbmEwm7zcMStHQ0IBarfY5wZzYpKysjGvXrrFo0SJCQkIoLi4mPDyc6upq6uvrycvLw2g0PvNNnrTDihUrvA/yUgrRRBm0//+PCP+Ly5cvc+TIEUZGRhgcHCQ6Ohr45hH1ly9f5ujRo2g0Gt58800A8vLy6O/vp6KigtbWVt566y3vVdJn1VR1UNKUHtHEl+jh67v0UKvVtLW1sWfPHtLT03njjTcUdSOXaCLX0tLCzp07mTNnDlqtlp///OdERUV5v2nyNNFqtbzxxhsAZGVleX+3ubmZ7du3ExYW5rf3MBWmqoOS5tuLJsoiniQ6BSRJQpIkjh07xpdffskPfvADlixZwr/+9S9efvll76ODjxw5gt1uZ+PGjeTk5ADjywgq5U5x0UFONPElevh6kh6eK8UOh4OWlhbFTGURTR5PkiQOHDiAyWRi/fr1HDx4kIiICAoKChgdHaWiooKKigqfJp6pG0oiOsiJJgokCU9kbGxMGhwclCRJktrb272v3759W/rjH//o87Otra2y31UK0UFONPElevgSPeREE7mJTSRJkt5//33p/ffflyRJkq5cuSIVFRVJfX19kiRJ0oMHD2S/qxSig5xoomxiDvoTaGho4He/+x3t7e0sXbrUu1rA6OgoZrOZmpoa75KAALNmzQLk88GedaKDnGjiS/TwJXrIiSZyniYdHR3k5uYCkJKSwo0bNzhy5AgOh4O2tjZu3bpFe3u79xsDpTURHeREE+UTJ+jfkSRJdHZ2EhERgd1uZ8GCBURERCBJEhqNhtHRURwOByMjI8THx/t8jaSkD4boICea+BI9fIkecqKJ3OOa6PV6YmNjaWlpobCwkJycHIKDg7lw4YL3JlolNREd5ESTwCAmH31HKpWKhIQEfvzjH7NmzRqKi4u9r8P4MkYGg4G7d+/S29vrz6FOK9FBTjTxJXr4Ej3kRBO5xzUBMBqNBAcHMzo6yuzZsxkbG8NoNBIVFeXHEU8P0UFONAkM4gT9CXiWMNqwYQN9fX2cOXMG+Gat0czMTOrr62lpafHXEJ8K0UFONPElevgSPeREE7nHNenp6WFsbIyioiI++ugjdu/eTWJiIjB+dVVpRAc50UT5xBSXJ+SZz2WxWDh06BCrV69GpVLR399PaGgoFouFxMRE9Hq9v4c6rUQHOdHEl+jhS/SQE03kJjY5ePAga9aswWw2ExERgdlspqenhx07dngfWKbUKQyig5xoomximcUp4Fmq6M9//jN6vZ7e3l6ef/55Xn/9dX8P7akSHeREE1+ihy/RQ040kZvYRKvV4nQ6SU5OZtOmTf4e2lMlOsiJJsolprhMAc8NS5IkUV1dTU5OTkAeTEQHOdHEl+jhS/SQE03kJjapra0lNzc3IE/ARAc50US5xBX0KfLJJ5/gcrn46U9/qqjHjv+vRAc50cSX6OFL9JATTeREk3Gig5xookziBH2KiCdyjRMd5EQTX6KHL9FDTjSRE03GiQ5yookyiRN0QRAEQRAEQZhBxJ9cgiAIgiAIgjCDiBN0QRAEQRAEQZhBxAm6IAiCIAiCIMwg4gRdEARBEARBEGYQcYIuCIIgCIIgCDOIOEEXBEEQBEEQhBlEnKALgiAIgiAIwgzyf5YeAi8IV/eGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = []\n",
    "y = []\n",
    "\n",
    "for i, j in listy:\n",
    "\tx.append(i)\n",
    "\ty.append(j)\n",
    "\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.bar(x, y, width=4,color='cornflowerblue')\n",
    "\n",
    "plt.title('10-YEAR U.S. TREASURY NOTES - CBOT(NON-COMMERCIAL)', size=16)\n",
    "plt.axhline(y=0, color='black')\n",
    "\n",
    "# format your data to desired format. Here I chose YYYY-MM-DD but you can set it to whatever you want.\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%y-%m-%d'))\n",
    "\n",
    "# rotate and align the tick labels so they look better\n",
    "fig.autofmt_xdate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}