{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3859a386-4d11-41df-8b48-acc72b4cd177",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAioAAANXCAYAAAAb+3QYAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAaKJJREFUeJzt3QmcU9X5//GHZWAGBEGQRWEAwbIKOtgqVpDKaqG1q20FRUEpliqIFcUVBARXiqKCWEULgohLqSso4mjhpxRklaIICEUQR5FFtgHyfz3H3vyT2e9MJjn33M/79QpDbjLJfXIzyTfnPvekQiQSiQgAAICFKqZ6BQAAAApDUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQQbnbsmWLVKhQQWbMmMGjXYz77rtPTjvtNKlUqZKceeaZZlnTpk3liiuuiF5n8eLF5vHUnwDgOoIK4vz85z+XatWqyb59+wp9ZPr16ydVqlSRr7/+2vlHzwsF3iktLc0Eicsvv1w2bdqU0PtasGCBjBw5Un784x/LU089JXfffbckwxNPPGFqe/rpp/NdtnTpUqlYsaL85S9/KfB3f/SjH5nffeyxxwq8fPTo0ebynJycAi9v166ddO3aNd/jPW/evAKv/+c//9lcHuvIkSMyefJkOeuss6RmzZpSq1Ytadu2rQwePFj+85//RK+nQTl2W6anp8spp5wivXr1koceeqjI53xp6GPy29/+VjIzM839xYbNWG+//bYMHDhQfvCDH5i/PX1+XXXVVbJjxw5f9/e3v/1NWrdubeo6/fTT5eGHHy7wetu3b5dLLrnEPE76eF188cW+nsvjx483rxP169c3dek2LshLL71kHlt9jKtWrSqNGjWS3/zmN7J27doS39fx48fl3nvvlWbNmpm62rdvL7Nnzy7wuuvXr5fevXvLCSecICeddJJcdtll8tVXX5X4g9T9999f4OW6XC/X6+V9DhV20g8XnpUrV0r//v2lcePG5nHQdevevbv5Gz927FiJH4swq5zqFYBdNIT885//NC8y+mac14EDB+Qf//iHeUGoU6eOhMV1110nP/zhDyU3N1dWrFghjz/+uLz66quyZs0a80KcCIsWLTKhQN9wNAh6NmzYYJaXl0GDBpmQomGkb9++0e2qteqbvb7AjhkzJt/vffrpp7Js2TLzojxr1iy55pprJBV+/etfy+uvvy5/+MMf5OqrrzbrrQHllVdekfPOO09atWoVd/277rrLvPHp9Xbu3GnC0fDhw+XBBx+U+fPnmzfDRLjnnntM+NEwV1TouOmmm+Sbb74xoUYDhoaGKVOmmPXXN7kGDRoUe1/Tpk2TIUOGmMdixIgR8t5775nnrP696u179u/fLz/5yU9kz549csstt5jgPWnSJLngggvMfZXkb/q2224z66TB8M033yz0evq3Ubt2bRk2bJjUrVvXPNZPPvmkeTw0AHfo0KHY+7r11ltl4sSJZrvq35++9lx66aUmDPz+97+PXu+///2vdOnSRU488UQT8LVODRi6Dh9++GHc31NZ6H38/e9/j1umoVJr0r8Vj4Yl70OAbhcNdRqcdPvqc0LDqf7d6fNCtwOKoV9KCHgOHDgQqVGjRqRXr14FPijPPvusfollZM6cOSV+0DZv3mx+56mnngrcA/3OO++YdX/++efjlj/00ENm+d13313o7+7fv9/XfV155ZWR6tWrl3id9GeirFu3LpKWlha54oorossmTJhg7mf+/PkF/s4dd9wRqVevXuSFF16IVKhQwWznvO68805zG1999VWBt9G2bdvIBRdcUOzj7Rk6dKi53PPhhx+a8+PHj8933aNHj0ZycnKi5/X5p9ddtmxZvuu+/fbbkYyMjEiTJk3M30AibNmyJXL8+HHzf92uAwYMKPB67777buTYsWP5lum63nrrrcXej65vnTp1In369Ilb3q9fP3O/33zzTXTZPffcY25XHzfP+vXrI5UqVYqMGjWqRHV521m3qd6WbuOS2rlzZ6Ry5cqRP/7xj8Ve97///a95Tuo29+jj2blz50ijRo3M9vVcc801Zvt9/vnn0WULFy406zdt2rRi69Hr3XfffQVersv18oKe30Vt26VLl5rH9fzzz4/s3bs33+X6PAzia2IqsOsHcTIyMuRXv/qVSfy7du3K9+g8++yzUqNGDTP0q/TTn34S1OFMHbY+99xzzUhDcXS4P3bI36PD47HDprHDso888ogZFtf76dmzp2zbtk3fsWTs2LFmWFnXXYex9dNpXvqJu3PnzlK9enWz/n369JF169aVeutfeOGF5ufmzZvjdnF8/PHH5hOffpI8//zzzWVHjx4169i8eXMz9Kv16aeow4cPR29Pf1eHgr/77rvo8LHX05O3R6UwH3zwgRnp0k+V+hjpp+R//etfJaqnTZs2cuONN5r7fPfdd01dOvKgz4Wf/exnBf6OPhd0KF9HYfQ+9XyyffbZZ+an7i7LS/t8Sjrqp9vz9ttvl88//1xmzpwZd5mOzuiukpNPPtk8x1q2bGk+6RenSZMm+XZTFfYpPe+ImS7TvyndnRFLd6Hp+uhIieedd94xu2H/9Kc/xV136NCh5vkU+/eou9R0ZEJPHh1x6tatm8ydO1dKIvbv06969eqZ5+a3334bt1xHFrQuHeXy6OiJno+tSx9PHbnTERQdlfG88MIL5nmou9k8untFd6eVtK5E01FIXV8dbdTXnLzOPvvsEv1dgx4VFLL7R99c8/6BawDQod5f/vKX5gX7yy+/NEPrukxfTHTf9aFDh0yI0V1HiaR/7I8++qhce+21csMNN5g3U33z0GHoN954wwxv69Cr7rbK20+hQ7UaTHQ4Vofj9Q1JA4UGCQ1CZXmDzPtGqKFN30R0+FmHq72h4TvuuEOysrKiw+wTJkyIG7rWddQgpUFG/68nfbPys9tIr79371658847zf3rm4G+AevQd0noY6lB8I9//KMZrq5cubLp3SgsFG3cuNHsbtFhdQ00uo2STcOA0vvW52xZ6NC81yvkWb16tZxzzjnm8dXtqb0wv/jFL8zzrDzprgs96S6TWLpLSPtQYrfpRx99FH3ji9WxY0cTgLzLtd9D68l7PaW7LvQ5neg+HaXPQ+0V0d0w+regz1ENRrFGjRpl6tL+mdi69IOFLs+7rt7lSn9HP1QVVpd3vWTS1wD9sKd/k7HhCaVDjwry0Te3hg0bmk/I2rzoef75580nHA0ySvcda1jR/eHe6IG+mOs+ft1PrqMbieqt0Bcj7YnQT+5Km9D0zf7gwYPy73//27ypKn1B1DctbWTUN319sdd99foCqX0lngEDBphPxvqGHru8MPoCrp9mtX594dP97vppSXsCYul+99iRhVWrVpn+D73/6dOnm2Ua6vSTpY4S6adh7RnQZru33nrL9L/o//3QUSUNFno7OnLkfYrXwKFNpRpAYt98C6PhUx83bYDUvpi//vWvcuqppxZ4XR110N4VbyRDQ5f2H2ifg3e0UjLoCJ4GP31stb9En7v6XMz76bokdFROn19eCFUajPXx1e0Se3v63C9P+thrk/Dvfve7Yq+roxE6eqTPqVgaIDVIf/HFF9EPGjqKp3/beXnL9Lr6d5HobaTPJ6UfFvT5qP0ZJanLa9gtbF2968Uuz3tdr259PUgWDfH6WnHGGWck7T5dxq4f5KMvevrGo0OrsSMO+gasLxzep6HXXnvNfGLxQor3QqQjG/p7OmqRKDpS4YUUpZ9ylb6peyHFW64v8N4ns4ULF5pPdPrJX4OGd9Ia9boaFEpCj8rQoX9tnNXRGR1S1wCS91OcBoZY+hgpDW6xdFRIlWQ3WXE0HGiI011OugvAq1HXUbdVdna2+TRdErq7wQuXunutIDpy8dxzz5k3Ue9NRAOCvlEme1RF719H9MaNG2d2t+kRIbrLQ0dadP3y7mIojj5/vVEFDb362Om2zxt6SrJLp7T0PnW3gY4YersYPbqLUYNT7G5TDeuFNYvqkTJ6uXc9VdAbtl4v9jqJpLs0ddRTR0R1dETvI+/RLrrLUeuK3a2k1yvJuqaqrqLoqJEqaJcP/GNEBQXSURPdTaHhRPspdJ+wdySBvskr3Z/vBYZY3lCtXq6HnyZC3jcKL7Top/qClu/evdv81DdwlfcF36OHZ5aE7rrRXTNauw7Ha42xAcmjR5PE0sdA3/hbtGgRt1yPmtDDQ/XysvJq1FGiwuhRHvpGXhR989CQqWHMG4nSoJeXjs7om7iGVP3k6NERHQ0KunvNz0haWd/09Q1Ke0b0pJ+udbeg7qLRXZd6VEvenpOiaN3eyIR3yG6insMloX0aumtV71OPGCkJHQnTcF4Q3RWrl3vXU7G9UbHXi72OHqGT9+/Ku8yvTp06Rf+vH4C814fCDgf26P2VZF391FUWfp6n3utKeexKCyOCCgqk+7e1yU7feDSo6E/9xOPt9knEH73eXl6FzSvghaOSLvdu2xtJ0J6Pgg7zLChsFESHcLU5rziFvSCW5ydwr0adLK6w3S7e4ZJF0Td33a318ssvmxEpHZnQoKojNbG8URP9xF8QDQoaWkryiVb35XvXKc31Cxrq1zdD3SWnu700rOin9ZJsZw3jGujyhspk0eZwHcXSUKAjcSX9NK4169+N9mnE7v7R8KIjbN7h8zpapqGuoEOlvWXedfPuRtFRkUQ0fmpY1g8N+hwqLqjoOuiIp/4tx/79FLauhdXl1V2YkjznYq9XEvoc0uec9uWg7AgqKJSGEm081QY8fcPSOQBijxbQ4XVv33Msb5Itr9GxsBesgiaZSsQIQyw90kbpC3hJgkai6WOgQUJHPWKbArW3R3dLFPUY+a1RP8WVtkZ9k9QmXO0r0pOus+7a0l1WuqvLG6nS3Ul6NIbuVtEjfvLSURh9E/KCilefPk/yjn7pG4D35uyJvX5BdHlJHjMdSdFeKX3cdTdYSeYi8ebH0B4dpY3Fys8EZaWlgUIfBx0V0CbMgvotCuOFU+3V+ulPfxpdrud1O3qX6yiXBm5dXlBztNbrhaO8I2ka+hJFA4EGwuLoeuuokh75pEelxa6rd7nSPirdLVtQXdp0XFzPlP6uHolU1HNOL8/b2FwUvb4GMm3C1ud43uc+fErJQdEIhE2bNpn5Ay6++GLzc/To0XGXDx8+3CxfsmRJ3Nwhp512WqRp06bRuSEKmkflL3/5S6Rq1aqRXbt2RZetXLkyUrFiRTOXRXFzHBQ230beuTL27NkTqVmzppmr48iRI/lqjL3/ghQ3r0dx84VoTbp88ODBcctHjhxpli9atCi6TOdiKGgeFX08YudpyDuPij7OzZs3j5x++umRffv2+a5R6TbW+966dWt02YoVK8w8EH/605+iy/7+97+b+87Ozi7wdq6++upIrVq1IocOHTLnv/zyy0iVKlUiv/rVr/LNFTJp0iRzWy+//HLc8jPPPNPUvHv37rjl//73v83zQ593nk8++SRu7gyP/u4pp5wSqV27dnS+jZLMo9KsWbPIwYMHo8u7dOli5hXKex/e/CglVdQ8Kvo386Mf/cjcj9ZYFH1+6bwn3333Xdw8KieddFKkb9++cdft379/pFq1apGvv/46umzixIn5HoP//Oc/ZjvfdNNNvmoqbh4V3fZ56d+z1qlzocT64osvTF2xf6Pbtm0rdB6VU089NW4elSFDhpjtF/v8feutt8z6PfbYY8XW8otf/MK8TuTdznpe11cv97tt//Wvf5nHVV97Cvq71G09Y8aMYtcNkQgjKiiU9lvo4cf6CVrl3e1z8803m11CF110kfkkrUOs+ilc5+DQeQ2K6lPQBkWdCVQ/veoRADpsPXXqVPPJzWtESwQdZdAjWfTQUz08WHcL6CeorVu3mkZWPWpFD/ksL3oUkPaO6JFFOoKiR6jopzx9nPQwV2/koSz0cdZPnrod9PG78sorzadM3X2jQ+f6GBR1OK0eSq7b+IEHHoj75Kczj+ruH318dNhfR9N0tESPJNHnRUH00HQ9AkcfWz1kWUeytL9Hj/TQQzW9r2hYsmSJee7oKELeeVq854V+Etb71SF+/VStj6GONOihrLFHVemuKa1de4j0Oah16+OrR4Xo0TN5dw/qkVE66qdNwTqypZ96dQRBR2r0yKHYIX49PFubxfW5o/07+jehjeJanzYxF0Ufc10/pUeA6MikNv16j5M3A67+XelzQv8mtM7YuVN0l50+Tzy6LbTRVrer11Cruxt1nh7dVtp0ro+d9pNpb45OGaCPiUePONPto6Nkehi/jjzp461N8l6Dd0lGnnTk09slos2/Xl36d+aNeOnojTZz63bUEVQd3dJZl/WxyHvUlG5T77XDa6jVo7B0xmDdpam/o88/3S2ptenzMHa76u5pPSpR/570iDztNdLf03XQv4fi6NF/enSSt511HXQ763NOdzuV5uss9G9E537Sx1x3o8fOTKuzIetzzXvcUAzSGoryyCOPmE8l+omvIJ999lnkN7/5jfkUnZ6ebq73yiuvlGhm2pkzZ5rRF/3ErZ+i33zzTfPJJJEjKrHX19l2TzzxRLOeOgKhs7AW9wm2rCMqKjc3NzJmzBjzaV0/ITZu3NjMAuqNOpR1RMXz0UcfmZELnaVUR6v09y655BIzWlAY/aSns3zq4x/7CdWjM2rqyERWVlZ0VtHLLrus0NvTT/f6Kf6Xv/xlvm197rnnmvp03Vq1amUek7yPgef//u//zAiBjojofeon6KuuusrMVpr3U7uOEuin1oYNG5rr6u9ceOGFkXnz5hX43PBO+rxr0KBBpEePHpHJkycXOHuoWrt2ranHe463bNkycvvtt0eKo9ss9v5iT7F/C7qdCrte7N9C7POsoFmJH3/8cbNuWpc+v3XEqqCRHx2p0L9ZHUE44YQTzOP86aefRkpKH+vC1jd2vXRdzz777Og21OfR73//+8jq1asLfazyzv6qo3A6+7M+DlqXzmSsz6XCtlPPnj3N80+3lc7Mq8/ZktIRnd/97ndmtmVdX/2p66vLSztappYvXx659NJLTf3696+PR7du3SJPP/10vlFGFKyC/lNcmAEAAEgF5lEBAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWE76VkE5FrRNI6RTT5fm9LQAAuCYSiZjJ7nQCRz9fWqoIKiWkIYXvawAAoPT0u4901mE/CCol5H1Zl07xHDsltSt0iuoFCxaYKc11Wm0XuV6j6/WFoUbX61PUGM5tuHfvXvNhv6TfCh6LoFJC3u4efZD1u1NcfOLpd7BobS6/QLpco+v1haFG1+tT1BjubVihFK0TNNMCAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArGVNUJk4caJUqFBBhg8fbs5/8803cu2110rLli0lIyNDMjMz5brrrpM9e/bk+90ZM2ZI+/btJT09XerVqydDhw6Nu3z16tXSuXNnc3njxo3l3nvvTVpdAACg9CqLBZYtWybTpk0zYcPzxRdfmNP9998vbdq0kc8//1yGDBlils2bNy96vQcffFAeeOABue++++Scc86R7777TrZs2RK9fO/evdKzZ0/p3r27TJ06VdasWSMDBw6UWrVqyeDBg5NeKwAACFBQ2b9/v/Tr10+mT58u48aNiy5v166dvPDCC9HzzZs3l/Hjx0v//v3l6NGjUrlyZdm9e7fcdttt8s9//lO6desWvW5s4Jk1a5YcOXJEnnzySalSpYq0bdtWVq5caQIOQQUAALulPKjobpo+ffqYEY/YoFIQ3e1Ts2ZNE1LUwoUL5fjx47J9+3Zp3bq17Nu3T8477zwzwqK7eNTSpUulS5cuJqR4evXqJffcc48JOrVr1y7wvg4fPmxOsSMzKjc315xc49XkYm1hqdH1+sJQo+v1KWoM5zbMLcNzOqVBZc6cObJixQqz66c4OTk5Mnbs2LhRkE2bNpmgcvfdd8vkyZPlxBNPNCMsPXr0MH0pGk527twpzZo1i7ut+vXrm596WWFBZcKECTJmzJh8y9955x2pVq2auErDn+tcr9H1+sJQo+v1KWoM1zY8cOBA8ILKtm3bZNiwYaZQbXItio5m6KiL9qqMHj06ulxDiqa0hx56yPShqNmzZ0uDBg1MoNCRk9IaNWqUjBgxIm4ddJTmJz/5idSpU0dco4+jbgsNeWlpaeIi12t0vb4w1Oh6fYoaw7kN9/5vr0Sggsry5ctl165dkpWVFV127Ngxyc7OlilTppjdLpUqVTK7c3r37i01atSQl156Ke5BadiwofmpAcZz8sknS926dWXr1q3mvIaWL7/8Mu6+vfN6WWGqVq1qTnnp/bv6AhKG+sJQo+v1haFG1+tT1BiubZhWhudzyg5P1uZXPQJHG1u909lnn20aa/X/GlK8I3Z0F878+fPzjbz8+Mc/Nj83bNgQXaaHNetuoiZNmpjznTp1MuEndv+YJkE97Lmw3T4AAMAOKQsqOkKiR/bEnqpXr252q+j/vZCihxv/7W9/M+e1p0RPOvKifvCDH8jFF19sdiEtWbJE1q5dKwMGDJBWrVqZXTTq0ksvNUFn0KBBsm7dOnnuuedMP0vsbh0AAGCnlB/1Uxhtsv3ggw/M/1u0aBF32ebNm6Vp06bm/88884xcf/31poelYsWKcsEFF8gbb7wRHWbSBtsFCxaYo4s6duxodgvdcccdHJoMAEAAWBVUFi9eHP1/165dJRKJFPs7eriyjrjoqTA6r8p7772XsPUEAAAhm0IfAAAgL4IKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVR80mn/AQBAchBUfMr7vUEAAKD8EFQAAIC1CCoAAMBaVk2hHwRff/21+R4il+j3HzVs2DDVqwEAQD4EFZ/69+8vhw4dEpdUq5Yua9d+nOrVAAAgH4KKTw/dJtKxlThj/SaR/iMPmZEiAABsQ1Dx6fRMkay25bMxAABAPIKKT59uFalZTZwaUQEAwFYEFZ+uGyfiWIuKZKRXkZ07d5r/r1q1SipWrGhds29mZmaqVwMAkAIEFcjBQ0fkkksukdmzZ0uXLl3k4MGD1jX7rl+/gbACACFEUAl5M63nuIhsF5Hsv9s1uY7X7JuTk0NQAYAQIqj45Gozbe4xke0bRTq0EkmrlOq1AQDgewSVkDfTxo6o6LNh1X/sG1EBAIQXQcUnF5tpVUaGyOzZIl0uE7GsRcU0++7YsaPUMwLTjAsAwUVQQSCaffv27VvmZly+JgAAgoeg4hPNtMES24xLUAGA4LGpHQEAACAOIyo+0aMSPF6Py/Hjx62d1C4RXK+vNDXSnwQEH0EFoelxycjIsHZSu0Rwvb7S1MhkgUDwEVR8okcluGyd1C5RXK/Pb41MFgi4gaDiExO+BZfrk9q5Xl9YagQQj6DiExO+BZetk9oliuv1+a2RyQIBNxBUfKKZNrhsntQuEVyvrzQ1+p0skOZbwD4EFQDO8jtZIM23gH0IKj7RTBtcrjebul5feddI8y1gJ4KKTzTTBpfrjZiu1xeWGgHEI6j4RDNtcLnebOp6feVdI823gJ0IKj7RTBtcrjebul5fMmrUHhVtqAVgD4IKAElPryLz5r1o/Rc36hT627dvl+zs7HL5mgCO+gHsQ1DxiWba4HK92bS09X3fRHrEhJSsrCyxWW5urgkqHTp0kLS0tFSvDoAkIKj4RDNtcLneiOl6fQDCiaDiE820weV6s2lp66OJFIDNCCo+0UwbXK43m5alPppIAdiKoAKEVGwDLU2kAGxFUPGJZtrgopk2mA20AMKNoOITzbTB5Xqzqev1AQgngopPNNMGF820/x8NtACCgqDiE820wUUzbZ7HI72K7NixQ1asWFGujzv9LwDKgqAChNTBQ0ekb9++5X4/ekTR+vUbJDMzs9zvC4B7CCo+0UwbXDTTJt/3TbuHJCcnh6ACoFQIKj7RTBtcrjebul4fgHAiqPhEM21w0UybfDTtAigrgopPNNMGF820qcGstwDKgqACWDRDbFkcP37cfLNwdna2VKxoz7cZcdQPgLIgqPhEM21w2dhMm8gZYnNzc01Q6dChg6SlpSVsHQEglQgqPtFMG1w0mwJA8BBUfKKZNrhsbKal2RQAikZQ8Ylm2uCytZmWZlMAKBxBBUhwU6tfNJsCQOEIKj7RTOtmM20im1oBAIlDUPGJZtrgopkWAIKHoOITzbRuNtPS1AoAdiKo+EQzrbvNtBnpVWTHjh2yYsWKAn+fXhIASD6CCvA/Bw8dkb59+xZ5dM769Rv4FmAASCKCik8004ZzZtrvm20PSU5ODkEFAJKIoOITzbTBRTMtAAQPQcUnmmnDOTMtzbYAkBoEFZ9opg3vzLTMIAsAyUdQCaGCZmA9fvy4+ebd7OxsqVjRlm/CSayy1shRPwCQfASVkDXTFjYDa25urnkT79Chg6SlpYmLwlAjALiGoOKTq820AADYiKASsmZamkIBAEFCUAlhMy1NoQCAoCCo+DRz5kxp1qyZBBlNoQCAoCCo+FSnTp24JlQAAFB+3DwOFQAAOIGgAgAArEVQ8al+/frlsyUAAEA+BBUAAGAtgopPX375ZflsCQAAkA9BBQAAWIugAgAArEVQ8YlmWgAAkoegAgAArEVQ8YlmWgAAkoegAgAArEVQAQAA1iKo+EQzLQAAyUNQAQAA1iKo+EQzLQAAyUNQAQAA1rImqEycOFEqVKggw4cPN+e/+eYbufbaa6Vly5aSkZEhmZmZct1118mePXsK/P2vv/5aGjVqZG7j22+/jbts8eLFkpWVJVWrVpUWLVrIjBkzklITAABwIKgsW7ZMpk2bJu3bt48u++KLL8zp/vvvl7Vr15pw8cYbb8igQYMKvA1dHvv7ns2bN0ufPn3kJz/5iaxcudIEoauuukrefPPNUq0rzbQAACRPZUmx/fv3S79+/WT69Okybty46PJ27drJCy+8ED3fvHlzGT9+vPTv31+OHj0qlSv//1V/7LHHzCjKHXfcIa+//nrc7U+dOlWaNWsmDzzwgDnfunVref/992XSpEnSq1evQtfr8OHD5uTZu3ev+Xns2DHJzc0V13g1uVhbWGp0vb4w1Oh6fYoaw7kNc8vwnE55UBk6dKgZ8ejevXtcUCmI7vapWbNmXEj5+OOP5a677pIPPvhANm3alO93li5dam47lgYUbxdTYSZMmCBjxozJt3zNmjXy2WefiasWLlwornO9RtfrC0ONrtenqDFc2/DAgQPBDCpz5syRFStWmF0/xcnJyZGxY8fK4MGDo8t0xOMPf/iD3HfffaaHpaCgsnPnzny7a/S8jpAcPHjQ9L8UZNSoUTJixIjoeb1+48aNze927txZXKNpV590PXr0kLS0NHGR6zW6Xl8YanS9PkWN4dyGe/+3VyJQQWXbtm0ybNgwU2x6enqxBeqoS5s2bWT06NFxYUJ35ejuoETTxls95VWxYkVnX0CU1uZyfWGo0fX6wlCj6/UpagzXNkwrw/M5Zc20y5cvl127dpmjcXRXjp7effddeeihh8z/tRdE7du3T3r37i01atSQl156Ka7YRYsWyfPPPx/9/W7dupnldevWlTvvvNP8v0GDBvnmPtHzugupsNGUotBMCwBA8qRsREVDhfZ7xLryyiulVatWctNNN0mlSpXMSIr2k+jIxvz58/ONvGizre6+8egupIEDB8p7771nmm9Vp06d5LXXXov7PR3F0eUAAMBuKQsqOkKiR/bEql69utSpU8cs15DSs2dP04Azc+ZMc97bx3XyySebIOOFkdg+FqW7g2rVqmX+P2TIEJkyZYqMHDnShBgdhZk7d668+uqrpVpvHY3R2wcAAOUv5Uf9FEabbPVIHqWTtOWdG6Vp06Yluh09NFlDyfXXXy+TJ082k8I98cQTRR6aDAAA7GBVUNEZZD1du3aVSCTi6/cL+x1d/tFHHyVkHQEAQMhmpg0SmmkBAEgeggoAALAWQcWnvIc6AwCA8kNQAQAA1iKo+ESPCgAAyUNQAQAA1iKo+ESPCgAAyUNQAQAA1iKoAAAAaxFUfKKZFgCA5CGoAAAAaxFUfKKZFgCA5CGoAAAAaxFUAACAtQgqPtFMCwBA8hBUAACAtQgqPtFMCwBA8hBUAACAtQgqAADAWgQVn2imBQAgeQgqAADAWgQVn2imBQAgeQgqAADAWgQVAABgLYKKTzTTAgCQPAQVAABgLYKKTzTTAgCQPAQVAABgLYIKAACwFkHFJ5ppAQBIHoIKAACwFkHFJ5ppAQBIHoIKAACwFkEFAABYi6DiE820AAAkD0EFAABYi6DiE820AAAkD0EFAABYi6ACAACsRVDxiWZaAACSh6ACAACsRVDxiWZaAACSh6ACAACsRVABAADWIqj4RDMtAADJQ1ABAADWIqj4RDMtAADJQ1ABAADWIqgAAABrEVR8opkWAIDkIagAAABrEVR8opkWAIDkIagAAABrEVQAAIC1CCo+0UwLAEDyEFQAAIC1CCo+0UwLAEDyEFQAAIC1CCoAAMBaBBWfaKYFACB5CCoAAMBaBBWfaKYFACB5CCoAAMBaBBUAAGAtgopPNNMCAJA8BBUAAGAtgopPNNMCAJA8BBUAAGAtggoAALAWQcUnmmkBAEgeggoAALAWQcUnmmkBAEgeggoAALAWQQUAAFiLoOITzbQAACQPQQUAAFiLoOITzbQAACQPQQUAAFiLoAIAAKxFUPGJZloAAJKHoAIAAKxFUPGJZloAAJKHoAIAAKxFUPGJHhUAAJKHoAIAAKxFUPGJHhUAAJKHoAIAAKxlTVCZOHGiVKhQQYYPH27Of/PNN3LttddKy5YtJSMjQzIzM+W6666TPXv2RH9n1apV8oc//EEaN25srtO6dWuZPHlyvttevHixZGVlSdWqVaVFixYyY8aMpNYGAABKp7JYYNmyZTJt2jRp3759dNkXX3xhTvfff7+0adNGPv/8cxkyZIhZNm/ePHOd5cuXS7169WTmzJkmrCxZskQGDx4slSpVkj//+c/mOps3b5Y+ffqY3501a5a8/fbbctVVV0nDhg2lV69evteVZloAAEIUVPbv3y/9+vWT6dOny7hx46LL27VrJy+88EL0fPPmzWX8+PHSv39/OXr0qFSuXFkGDhwYd1unnXaaLF26VF588cVoUJk6dao0a9ZMHnjgAXNeR13ef/99mTRpUqmCCgAACFFQGTp0qBnx6N69e1xQKYju9qlZs6YJKUVd56STToqe1+Citx1LA4q3i6kwhw8fNifP3r17zc8dO3aY3Ueuyc3NjfvpItdrdL2+MNToen2KGsO5DXPL8JxOaVCZM2eOrFixwuz6KU5OTo6MHTvW7NopjO76ee655+TVV1+NLtu5c2e+3TV6XoPHwYMHTW9LQSZMmCBjxowp8Kif1157rdj1DaqFCxeK61yv0fX6wlCj6/UpagzXNjxw4EDwgsq2bdtk2LBhptD09PQir6uhQkddtFdl9OjRBV5n7dq1cvHFF8udd94pPXv2LPP6jRo1SkaMGBG3DtoHoyGnc+fO4hpNu7otevToIWlpaeIi12t0vb4w1Oh6fYoaw7kN9/5vr0Sggoo2wu7atcscjeM5duyYZGdny5QpU8xuF22K3bdvn/Tu3Vtq1KghL730UoEPyscffyzdunUzoy233XZb3GUNGjTIN/eJntddSIWNpig9QkhPeWkTrqsvIEprc7m+MNToen1hqNH1+hQ1hmsbppXh+ZyyoKLBYs2aNXHLrrzySmnVqpXcdNNNJqRoAtN+Eg0M8+fPL3DkZd26dXLhhRfKgAEDTLNtXp06dcq3q0aToC4HAAB2S1lQ0RESPbInVvXq1aVOnTpmuYYU3YWj+7X08GM97w0dnXzyySbI6O4eDSkaZnQ3jfajKL1Mr6P0sGQdoRk5cqQ5SmjRokUyd+7cuD4WP3Q0Ro8cAgAAITjqpzDaZPvBBx+Y/+c9ykbnRmnatKmZT+Wrr74yQUZPniZNmsiWLVvM//XQZA0l119/vZkMrlGjRvLEE09waDIAAAFgVVDRGWQ9Xbt2lUgkUuT1tbG2sObaWHpbH330UULWEQAAhHAK/aBgZloAAJKHoAIAAKxFUPEp76HOAACg/BBUAACAtQgqAADAWgQVn2imBQAgeQgqAADAWgQVn2imBQAgeQgqAADAWgQVAABgLYKKTzTTAgCQPAQVAABgLYKKTzTTAgCQPAQVAABgLYIKAACwFkHFJ5ppAQBIHoIKAACwFkHFJ5ppAQBIHoIKAACwFkEFAABYi6DiE820AAAkD0EFAABYi6DiE820AAAkD0EFAABYi6ACAACsRVDxiWZaAACSh6ACAACsRVDxiWZaAACSh6ACAACsRVABAADWIqj4RDMtAADJQ1ABAADWIqj4RDMtAADJQ1ABAADWIqgAAABrEVR8opkWAIDkIagAAABrEVR8opkWAIDkIagAAABrEVQAAIC1CCo+0UwLAEDyEFQAAIC1CCo+0UwLAEDyEFQAAIC1CCoAAMBaBBWfaKYFACB5CCoAAMBaBBWfaKYFACB5CCoAAMBaBBUAAGAtgopPNNMCAJA8BBUAAGAtgopPNNMCAJA8BBUAAGAtggoAALAWQcUnmmkBAEgeggoAALAWQcUnmmkBAEgeggoAALAWQcUnelQAAEgeggoAALAWQcUnelQAAEgeggoAALAWQQUAAFiLoOITzbQAACQPQQUAAFiLoOITzbQAACQPQQUAAFiLoAIAAKxFUPGJZloAAJKHoAIAAKxFUPGJZloAAJKHoAIAAKxFUAEAANYiqPhEMy0AAMlDUAEAANYiqPhEMy0AAMlDUAEAANYiqAAAAGsRVHyimRYAgOQhqAAAAGsRVHyimRYAgOQhqAAAAGsRVAAAgLUIKj7RTAsAQPIQVAAAgLUIKj7RTAsAQPIQVAAAgLWsCSoTJ06UChUqyPDhw835b775Rq699lpp2bKlZGRkSGZmplx33XWyZ8+euN/bunWr9OnTR6pVqyb16tWTG2+8UY4ePRp3ncWLF0tWVpZUrVpVWrRoITNmzEhqbQAAoHQqiwWWLVsm06ZNk/bt20eXffHFF+Z0//33S5s2beTzzz+XIUOGmGXz5s0z1zl27JgJKQ0aNJAlS5bIjh075PLLL5e0tDS5++67zXU2b95srqO/O2vWLHn77bflqquukoYNG0qvXr18ryvNtAAAhCio7N+/X/r16yfTp0+XcePGRZe3a9dOXnjhhej55s2by/jx46V///5mxKRy5cqyYMEC+fjjj+Wtt94yAeLMM8+UsWPHyk033SSjR4+WKlWqyNSpU6VZs2bywAMPmNtp3bq1vP/++zJp0qRSBRUAABCioDJ06FAz4tG9e/e4oFIQ3e1Ts2ZNE1LU0qVL5Ywzzogb5dDwcc0118i6devkrLPOMtfR246l1/F2MRXm8OHD5uTZu3ev+amjNrr7yDW5ublxP13keo2u1xeGGl2vT1FjOLdhbhme0ykNKnPmzJEVK1aYXT/FycnJMaMlgwcPji7buXNnvl0x3nm9rKjraPA4ePCg6X8pyIQJE2TMmDEFHvXz2muviasWLlwornO9RtfrC0ONrtenqDFc2/DAgQPBCyrbtm2TYcOGmULT09OLvK6GCh110V4V3aWTDKNGjZIRI0bErUPjxo1NyOncubO4RtOubosePXqYHh8XuV6j6/WFoUbX61PUGM5tuPd/eyUCFVSWL18uu3btMkfjeLQ5Njs7W6ZMmWJ2u1SqVEn27dsnvXv3lho1ashLL70U96BoE+2HH35Y4Dwnepn3M+/cJ3pedyEVNpqi9AghPeWlTbiuvoAorc3l+sJQo+v1haFG1+tT1BiubZhWhudzyg5P7tatm6xZs0ZWrlwZPZ199tmmsVb/ryFFE1jPnj1NU+z8+fPzjbx06tTJ3IYGHo+mPA0hOvriXUeP9Iml19HlAADAbikbUdEREj2yJ1b16tWlTp06ZrkXUnS/1syZM815b+jo5JNPNkFGL9dActlll8m9995r+lFuu+0206DrjYboYck6QjNy5EgZOHCgLFq0SObOnSuvvvpqqdZbR2P0yCEAABCCo34Ko022H3zwgfl/3qNsdG6Upk2bmrDyyiuvmKN8dIREg86AAQPkrrvuil5XD03WUHL99dfL5MmTpVGjRvLEE09waDIAAAFgVVDRGWQ9Xbt2lUgkUuzvNGnSpNijcPS2Pvroo4SsIwAACOEU+kHBzLQAACQPQQUAAFiLoOJT3kOdAQBA+SGoAAAAaxFUAACAtQgqPtFMCwBA8hBUAACAtQgqPtFMCwBA8hBUAACAtQgqAADAWgQVn2imBQAgeQgqAADAWgQVn2imBQAgeQgqAADAWgQVAABgLYKKTzTTAgCQPAQVAABgLYKKTzTTAgCQPAQVAABgLYIKAACwFkHFJ5ppAQBIHoIKAACwFkHFJ5ppAQBIHoIKAACwFkEFAABYi6DiE820AAAkD0EFAABYi6DiE820AAAkD0EFAABYi6ACAACsRVDxiWZaAACSh6ACAACsRVDxiWZaAACSh6ACAACsRVABAADWIqj4RDMtAADJQ1ABAADWIqj4RDMtAADJQ1ABAADWIqj4RI8KAADJQ1ABAADWIqj4RI8KAADJQ1ABAADWIqgAAABrEVR8opkWAIDkIagAAAA3g8qRI0dkw4YNcvToUQkLmmkBALA8qBw4cEAGDRok1apVk7Zt28rWrVvN8muvvVYmTpyY6HUEAAAhVaqgMmrUKFm1apUsXrxY0tPTo8u7d+8uzz33XCLXDwAAhFjl0vzSyy+/bALJueeeKxUqVIgu19GVzz77TFxGMy0AAJaPqHz11VdSr169fMu/++67uOACAACQ9KBy9tlny6uvvho974WTJ554Qjp16iQuo5kWAADLd/3cfffdctFFF8nHH39sjviZPHmy+f+SJUvk3XffTfxaAgCAUCrViMr5558vK1euNCHljDPOkAULFphdQUuXLpWOHTsmfi0BAEAolWpERTVv3lymT58uYUMzLQAAlo+ovPbaa/Lmm2/mW67LXn/99USsFwAAQOmCys033yzHjh3LtzwSiZjLXEYzLQAAlgeVTz/9VNq0aZNveatWrWTjxo2JWC8AAIDSBZUTTzxRNm3alG+5hpTq1avzsAIAgNQFlYsvvliGDx8eNwuthpQbbrhBfv7zn4vLaKYFAMDyoHLvvfeakRPd1dOsWTNzat26tdSpU0fuv//+xK8lAAAIpcql3fWjk7stXLjQfDlhRkaGtG/fXrp06SKu02ZaDWUAAMDieVR02vyePXuaEwAAQEqDykMPPSSDBw+W9PR08/+iXHfddYlYNwAAEHIlDiqTJk2Sfv36maCi/y9qpMXloEIzLQAAFgaVzZs3F/h/AAAAa476yc3NNd/zs379egkjZqYFAMDioJKWliaHDh0qn7UBAAAo6zwqQ4cOlXvuuUeOHj1aml8HAAAov8OTly1bJm+//bYsWLBAzjjjjHzT5r/44oviKpppAQCwPKjUqlVLfv3rXyd+bQAAAEobVI4fPy733XeffPLJJ3LkyBG58MILZfTo0WZm2rBgZloAACztURk/frzccsstcsIJJ8ipp55qJn7TfhUAAICUB5VnnnlGHn30UXnzzTfl5Zdfln/+858ya9YsM9ICAACQ0qCydetW+elPfxo93717dzMT7RdffCFhQTMtAACWBhU9HFmn0M87r4pOAgcAAJDSZtpIJCJXXHGFVK1aNbpMJ38bMmRI3CHKLh+eTDMtAACWBpUBAwbkW9a/f/9Erg8AAEDpgspTTz3l5+oAAADJn0I/zGimBQAgeQgqAADAWgSVUjTTAgCA5CCoAAAAaxFUAACAtQgqPtFMCwBA8hBUAACAtQgqPtFMCwBA8hBUAACAtawJKhMnTjTfxDx8+PDosscff1y6du0qNWvWNJd9++23+X7vk08+kYsvvljq1q1rrnf++efLO++8k+9bn/v06SPVqlWTevXqyY033mi+YBEAANjNiqCybNkymTZtmrRv3z5u+YEDB6R3795yyy23FPq7ffv2NaFj0aJFsnz5cunQoYNZtnPnTnP5sWPHTEg5cuSILFmyRJ5++mmZMWOG3HHHHaVaV5ppAQAIUVDZv3+/9OvXT6ZPny61a9eOu0xHV26++WY599xzC/zdnJwc+fTTT811NOScfvrpZmRGA87atWvNdRYsWCAff/yxzJw5U84880y56KKLZOzYsfLII4+Y8AIAABz5UsLyMHToUDPi0b17dxk3bpyv361Tp460bNlSnnnmGcnKypKqVauakRndvdOxY0dznaVLl8oZZ5wRNxLSq1cvueaaa2TdunVy1llnFXjbhw8fNifP3r17zc8dO3ZIixYtxDW5ublxP13keo2u1xeGGl2vT1FjOLdhbhme0ykNKnPmzJEVK1aYXT+loX0rb731lvziF7+QGjVqSMWKFU1IeeONN6KjM7oLKO/uGu+8t3uoIBMmTJAxY8YUeNTPa6+9Jq5auHChuM71Gl2vLww1ul6fosZwbcMDBw4EL6hs27ZNhg0bZgpNT08v1W1EIhEzIqPh5L333pOMjAx54okn5Gc/+5kJPw0bNiz1+o0aNUpGjBgRN6LSuHFjE3I6d+4srtG0q9uiR48ekpaWJi5yvUbX6wtDja7Xp6gxnNtw7//2SgQqqGjj665du8wuG482vmZnZ8uUKVPMbpdKlSoVeRvaQPvKK6/I7t27zRE/6tFHHzUPoDbNau9KgwYN5MMPPyxwLhS9rDC6G0lPeWn4cfUFRGltLtcXhhpdry8MNbpen6LGcG3DtDI8n1PWTNutWzdZs2aNrFy5Mno6++yzTWOt/r+4kBI7lKS7fGLp+ePHj5v/d+rUydyPhiKPBhkNNm3atEl4XQAAIHFSNqKiPSXt2rWLW1a9enXTIOst1x4SPW3cuNGc18Chv5eZmSknnXSSCSHaizJgwABzuLHu+tGjhzZv3mwadFXPnj1NILnsssvk3nvvNbd32223mV1GBY2YFEdHY1q3bp2QxwAAAFh+eHJRpk6dao7Kufrqq835Ll26mPPz588353WSN22c1UOcL7zwQjMi8/7778s//vEPM5+K0pEZ3T2kPzXY9O/fXy6//HK56667UlobAAAIwOHJsRYvXhx3fvTo0eZUFA0nb775ZpHXadKkidNH6gAA4CqrgkoQfP311+aQ6lg6sqO7owAAQGIRVHzSXUeHDh2KW1atWrqsX7+BsAIAQIIRVHx66DaRjq3+//n1m0T6jzxkpvNnVAUAgMQiqPh0eqZIVtsEbwUAAFAggopPn24VqVktfkQFAACUD4KKT9eNE8nToiIZ6VXMlxXmbbItTzTwAgDCgKCSAAcPHZG+fftKMtHACwAIA4JKGZtpU4EGXgBAWBBUfKKZFgCA5CGolLGZNhVo4AUAhAVBJQHNtKlQXAMvzbYAABcQVBxt4KXZFgDgAoJKAJtpi0OzLQDAFQQVn2imBQAgeQgqAWymLQ7NtgAAVxBUAtpMWxy/s+UeP37c/Fy1apVUrFixTPdNIy8AIFEIKo7yO1tuRkaGzJ49W7p06SIHDx4s033TyAsASBSCioPNtKWh4ynbRST77yJlGU+hkRcAkEhlG+MHAAAoR4yoONqj4ldGhsjs2SJdLhMp454fs+tH+1QAACgrggokPb2KzJ07V44dOybZ2dk00wIArEFQCXmPyvc9JUekQYMGsn37dunQoYOkpaWlerUAADAIKj4x4RsAAMlDUHFwwjc/mBwOAGAzgopPLjbT6uRwO3fuTNiEb6nAJHMA4CaCCszkcJdccknCJnxLBSaZAwA3EVRC3kyb6AnfUoFJ5gDAXQQVn1xtps09JrJ9o0iHViJplVK9NgAAfI+gEvJmWo/5SsLKIqv+E8wRFQCAmwgqPrnYTJvomWlt/bboRH5DdKrRPAwgLAgqCM23RSfyG6JTjeZhAGFBUPGJZtrgCnLDcCyahwGECUHFJ5ppg4uGYQAIHoKKTzTTBleQG4Zj0TwMIEwIKj7RTBtcQW8Yztujog21AOA6ggqQBOnpVWTevBelYcOGCbk9jvoBEBYEFZ9opg2uVDXTft/8esSElKysrCTeMwAEH0HFJ5ppg4tmWgAIHoKKTzTTBleqmmlpfgWA0iOo+EQzbXClspm2JDPnlpVLM+8WV+N///tfadasWapXB0ASEFQAS2bOLSuXZt4trsYf/rCjrFixUjIzM1O9SgDKGUHFJ5ppg8uVmWnDWl9sjQcOHJKcnByCChACBBWfaKYNLtebaV2vL7ZGAOFBUPGJZtrgcmVm2rDWF1sjgPDgT94nmmmDy6WZacNYX2yNzMwLhAdBBXBk5lo9Imb79u2SnZ3t9FE/WuOyZcvpTwFCgqDiE820wWVrs2miZq7Nzc01b+IdOnSQtLQ0cZFXY6NGjVK9KgCShKDiE820wRWGZlMAcA1BxSeaaYPL1mZTZq4FgMIRVHyimTa4bG42pTkUAApGUAlx82VYGzFtrLFu3bo0hwJAAQgqAWymTVTzZVgbMV2uEQBcQ1DxydVmWgAAbERQCWAzLc2XAICwIKgEtJk2I72K7NixQ1asWJHvMvodAACuIKgE1MFDR6Rv376FHkGyfv0GmjMBAIFHUAlgM23xjbaHJCcnh6ACAAg8gopPNNMCAJA8BJUANtMWhUZbAIBLCCoBbaYtCrOcAgBcQVBxcOZZjvoBALiCoGJhM215zDwLAEAQEVR8opkWAIDkIahY2ExLQywAAN8jqFjaTJuRUdX0mgAAEGZ2fdc9oiIRHgwAABhRsbaZ9jCzywIAQo+g4hPNtAAAJA9BxSeaaQEASB6Cik800wIAkDw001qKZloAABhR8Y1mWgAAkoddPz7RTAsAQPIQVHyimRYAgOQhqNjaTJteRXbs2CErVqwo/zsTkePHj5ufq1atkooV3WxdcqlGviEbQFgQVCx18NAR6du3b9LuLyMjQ2bPni1dunSRgwcPiotcqrFatXRZv36DZGZmpnpVAKBcEVQsbKZNBR1r2C4i2X9391AwV2r8fubiQ8xcDCAUCCo+udpMm3tMZPtGkQ6tRNIqiZPCUCMAuIagYmEzbSqY7o3KIqv+E+zRhjDUqCMqABAWBBVLm2mTLSNDZPZskS6XiQS8fSMUNRbUbO1Ss3BhElEjjchAsBBUAEearV1qFi5MImqkERkIFoKKTzTTBpcrzbRhrS8RNdKIDAQPQcUnmmmDy/VmWtfrC0uNAOIRVHyimTa4XGmmDWt9iaiRRmQgeAgqPtFMG1wuNdOGsb5E1ag9KtpQCyAYCCqAY+bOnSunnHKKuHrUz/bt2yU7O5ujfoCQIKj4RDNtcLnebLp+y/c/GzRoIFlZWeKi3NxcE1Q6dOggaWlpqV4dAGEKKhMnTpRRo0bJsGHD5K9//atZ9vjjj8uzzz5r5orYt2+f7N69W2rVqpXvd1999VW56667ZPXq1ZKeni4XXHCBvPzyy9HLt27dKtdcc4288847csIJJ8iAAQNkwoQJUrmy//Jppg0u1xsxvSAGAC6xIqgsW7ZMpk2bJu3bt49bfuDAAendu7c5aYgpyAsvvCBXX3213H333XLhhRfK0aNHZe3atdHLjx07Jn369DGfMpcsWWImybr88svNpzH9Hb9opg0u15tNN2wROaFFqtcCABwLKvv375d+/frJ9OnTZdy4cXGXDR8+3PxcvHhxgb+roURHYO677z4ZNGhQdHmbNm2i/1+wYIF8/PHH8tZbb0n9+vXlzDPPlLFjx8pNN90ko0ePlipVqvhaX5ppg8v1ZlOvvjp16qR6VQDAnaAydOhQM+LRvXv3fEGlOLpLSPdX61TaZ511luzcudMEEQ0u7dq1M9dZunSpnHHGGSakeHr16mV2Ba1bt878XkEOHz5sTp69e/dGZ8asUKGCuEbriv1ZHtLTq8gzz8w0o1upasTUETUNvi5OMe/Vp8917eVwkVcX9QWX69swDDXmlqK+sjwWKQ0qc+bMMWFDd/2UxqZN3387m46MPPjgg9K0aVN54IEHpGvXrvLJJ5/ISSedZMJLbEhR3nm9rDDawzJmzJh8yx955BGpVs3BbyX8nyeffLJcb193xWm4TCV9M3fZwoULxXWu1+h6fYoaw7UNDxw4ELygsm3bNrPbRgvVBtiyfEHZrbfeKr/+9a/N/5966ilp1KiRPP/88/LHP/6x1OunPTEjRoyIG1Fp3Lix1D86VDq3cO9bCXOPZ8jCTU9Kj9MGSlrFxO8X0b4Q3eWih5XqERupoIlen289evRw8ogR1+sLQ42u16eoMZzbcO//9koEKqgsX75cdu3aFXcYpX7a1jeyKVOmmN0ulSoVfWhGw4YN8/WkVK1aVU477TRzpI/S3Qwffvhh3O99+eWX0csKo7ejp7w+23pQalU75Gyj6cefHJSKkvigsmHT930hussl1S/Aev+pXofy5Hp9YajR9foUNYZrG6aV4fmcsqDSrVs3WbNmTdyyK6+8Ulq1amUaXYsLKapjx44mTGzYsEHOP//8aNLbsmWLNGnSxJzv1KmTjB8/3oSievXqmWWaBGvWrBkXcEqKZtrSy0ivYna76O6+0tIZRTMzM8uwFgCAIElZUKlRo0a04dVTvXp1c8SCt1x7SPS0ceNGc16Djf6evlFp/4mGjSFDhsidd95pdstoONFGWvXb3/7W/OzZs6cJJJdddpnce++95vZuu+0208Rb0IgJys/BQ0ekb9++ZboNnf58/foNhBUACImUH/VTlKlTp8Y1tHbp0iXah3LFFVeY/2sw0YnbNIgcPHhQzjnnHFm0aJHUrl3bXK4jM6+88oo5ykdHVzQM6YRvOkFcaTAzberoF8r1H3lIcnJyCCoAEBJWBZW886Xo0Tx6Km6/1/33329OhdGRltdeey1h6wkAAEIYVIKAHpXUKkufi3eU2KpVq5ydR8Xl+vzWSD8T4AaCCkLT56KT2c2ePdvsQtTdhK5xvT6/NdLPBLiBoOITPSrB5fq3J7ten58a6WcC3EFQ8YlvTw4u17892fX6wlIjgHgEFZ/49uTgcv3bk12vz0+NOqICwA0EFZ9opg2usHx7sqv1+a0xERMMJptrDdE0NCMRCCoAnJSICQaTzbWGaBqakQgEFZ9opg0u15tNXa8vDDW6VB8NzUgUgopPNNMGl+uNmK7XF4YaXa8PKA2Cik800waX682mrtcXhhpdqo+GZiQKQcUnmmmDy/VmU9frC0ONrtWnPSraUAuUBUEFSIL09Coyb96L0rBhw3I9YmT79u2SnZ3txBEjYazRtfo46geJQFDxiWba4EpVo+L3TYVHTEjJysoqt/vJzc01b3IdOnQwX9bpItdrdL0+oDQIKj7RTBtcNCoCQPAQVHyimTa4UtWoSFMhAJQeQcUnmmmDK5WNismYJdW1WU1trJGeCyD5CCqAI7OkujarqY01MtMqkHwEFZ9opg0ul2b9DGN9qa6RmVaB1CCo+EQzbXC53kzren1hqRFAPIKKTzTTBpdLs36Gsb5U10hTNJAaBBWfaKYNLtdm/QxbfTbUWN5N0aluFk4GarRb3bp1JTMzU2xCUAEAS5qiU90snAzUaLdq1dJl/foNVoUVgopPNNMGl+vNpq7XF4YaXa9PUaO91ptZtA9JTk4OQSXIaKYNLtcbMV2vLww1ul6fokb4xYiKTzTTBpfrzaau1xeGGl2vT1GjvdZvEisRVHyimTa4Ut2IWd5cry8MNbpen6JG+3tU6tatKzYhqAAAykV6ehWZN+9F883hsUf96DdEZ2dnO31kU1BrrMtRP8FHM21wud7E53p9YajRpfq+b8w8YkJKVlZWdHlubq55E+/QoYOkpaWJi8JQYzIxouITzbTB5XoTn+v1haFG1+sDSoOg4hPNtMHlehOf6/WFoUaX6rO1MRPBQ1DxiWba4HK9ic/1+sJQo2v12diYieAhqABAghtGw9iEGZTGTAQPQcUnmmmDy6VGxTDWZ2ONhTWMlhZNmEB+BBWfaKYNLtcbFV2vLyw1AohHUPGJZtrgcqlRMYz12VgjDaNA+SOo+EQzbXC51qgYtvpsrZGGUaB8EVSAkEhk02eq2NhsSsMoUL4IKj7RTBtctjViJrO+RDd9pgrNpkD4EFR8opk2uFxvxHS9PgDhRFDxiWba4LKtETOZ9dH0CSCoCCo+0UwbXDY2YiazPpo+AQQRQQVwpCG1uEZTmj4BBBFBxSeaacPbTGt7QyqNpgBcRFDxiWba4KLZFACCh6DiE8204W2mpSEVAJKPoOITzbThbqalIRUAkougAqcaSst7VlMaUgEguQgqPoW9mdb2htKi0GwKAMFDUPGJZloAAJKHoOJT2JtpaSgFACQTQcUnmmlpKAUAJA9BxaeZM2dKs2bNxDV+Gk1pKAUAJAtBxac6deoErom0JGg0BQDYyMUvkQUAAI4gqAAAAGsRVHyqX79++WwJAACQD0EFAABYi6Di05dfflk+WwIAAORDUAEAANYiqAAAAGsRVHyimRYAgOQhqAAAAGsRVHyimRYAgOQhqAAAAGsRVAAAgLUIKj7RTAsAQPIQVAAAgLUIKj7RTAsAQPIQVAAAgLUIKgAAwFoEFZ9opgUAIHkIKgAAwFoEFZ9opgUAIHkIKgAAwFoEFZ/oUQEAIHkIKgAAwFoEFZ/oUQEAIHkIKgAAwFoEFQAAYC2Cik800wIAkDwEFQAAYC2Cik800wIAkDwEFQAAYC2CCgAAsBZBxSeaaQEASB6CCgAAsBZBxSeaaQEASB6CCgAAsJY1QWXixIlSoUIFGT58eHTZ448/Ll27dpWaNWuay7799ttCf//w4cNy5plnmuutXLky7rLVq1dL586dJT09XRo3biz33ntvudYCAAAcCirLli2TadOmSfv27eOWHzhwQHr37i233HJLsbcxcuRIOeWUU/It37t3r/Ts2VOaNGkiy5cvl/vuu09Gjx5tQlBp0EwLAEDyVJYU279/v/Tr10+mT58u48aNi7vMG11ZvHhxkbfx+uuvy4IFC+SFF14w/481a9YsOXLkiDz55JNSpUoVadu2rRlxefDBB2Xw4MHlUBEAAHAmqAwdOlT69Okj3bt3zxdUStrcevXVV8vLL78s1apVy3f50qVLpUuXLiakeHr16iX33HOP7N69W2rXrl3oriQ9xY7MqB07dkiLFi3ENbm5uXE/XeR6ja7XF4YaXa9PUWM4t2FuGZ7TKQ0qc+bMkRUrVphdP6URiUTkiiuukCFDhsjZZ58tW7ZsyXednTt3SrNmzQrcfaOXFRZUJkyYIGPGjCkwGL322mviqoULF4rrXK/R9frCUKPr9SlqDNc2PHDgQPCCyrZt22TYsGGmUG1yLY2HH35Y9u3bJ6NGjUr4+ultjhgxIm5ERRtxNeRoY65rNO3qtujRo4ekpaWJi1yv0fX6wlCj6/UpagznNtz7v70SgQoq2ti6a9cuycrKii47duyYZGdny5QpU8xul0qVKhV5G4sWLTK7dqpWrRq3XEdXtO/l6aeflgYNGuSb+8Q7r5cVRm8z7+2qhg0bOvsCorQ2l+sLQ42u1xeGGl2vT1FjuLZhWhmezykLKt26dZM1a9bELbvyyiulVatWctNNNxUbUtRDDz0U19fyxRdfmP6T5557Ts455xyzrFOnTnLrrbeaBOg9UJoEW7ZsWehuHwAAYIeUBZUaNWpIu3bt4pZVr15d6tSpE12uPSR62rhxozmvwUZ/LzMzU0466STzM9YJJ5xgfjZv3lwaNWpk/n/ppZeaXpNBgwaZALR27VqZPHmyTJo0qVTrraMxrVu3LtXvAgCAAM6jUpipU6fKWWedZY7qUXr0jp6fP39+iW/jxBNPNIcub968WTp27Cg33HCD3HHHHRyaDABAAKT88ORYeedL0YnZ9FRSTZs2NUcC5aUTyb333nsJWUcAABDSoBIEX3/9tTmk2jXHjx83P1etWiUVKyZ+oK1u3br5dtUBAFAcgopP/fv3l0OHDolrMjIyZPbs2Wb32sGDBxN++9Wqpcv69RsIKwAAXwgqPj10m0jHVuIcHU/ZLiLZf09849L6TSL9Rx6SnJwcggoAwBeCik+nZ4pktRXn5B4T2b5RpEMrkbTijwwHACApCCo+fbpVpGb+rxQKPNOhUllk1X/KZ0QFAIDSIKj4dN04EQdbVCQjQ2T2bJEul4mUQ4uKZKRXMV/omMpGZL8NwzQAA0DqEVSQFAcPHZG+ffsGqmGYBmAASD2Cik8004ajYZgGYACwA0HFJ5ppg4uGYQAIHoKKTzTThqNhmAZgALADQcUnmmnD0zBsQwNwec8uTMMwANsRVACLG4DLe3ZhGoYB2I6g4hPNtMFVnrPvBrE+GoYBBAFBxSeaaYPL9WZa1+sDEE4EFZ9opg2u8px9N4j10TAMIAgIKj7RTBtc5T37bhDrK6phmEZbADYgqAAhVlTDMI22AGxAUPGJZtrgopm25Gi0BWALgopPNNMGl+vNpq7XByCcCCo+0UwbXDTTlhyNtgBsQVDxiWba4KKZ1ufjZeHMvIXNvkvjL+AuggqAwMzMW9jsuzT+Au4iqPhEM21w0Uzr5jak8RdwG0HFJ5ppg8v1ZlPX6wtLjQDiEVR8opk2uGimdXMb0vgLuI2g4hPNtMFFM62721B7VLShFoB7CCoA4qSnV5F5816Uhg0bWvfI6FE/27dvl+zsbI76AUKCoOITzbTBRTNt8b5vTD1iQkpWVpbYJjc31wSVDh06SFpaWqpXB0ASEFR8opk2uFxvxHS9PgDhRFDxiWba4KKZtng0pgKwDUHFJ5ppg4tm2pKhMRWATQgqgCONp4U1mvrFdPQAbEJQ8Ylm2uBKdDOtbY2nNJoCcBFBxSeaaYOLZlMACB6Cik800wZXoptpaTwFgPJHUPGJZtrgKo9m2oyMqsyICgDlKBEfLIHQikRSvQYA4DZGVHyimTa4yqeZ9rDk5ORIZmZmAm4RAJAXQcUnmmmDi2ZaAAgegopPNNMGF820ABA8BBWfaKYNrvJopmUWVwAoXwQVhFpZZ5ZlFlcAKF8EFZ9opnWnmda2mWUBAPkRVHyimTa4aKYFgOAhqPhEM607zbTMLAsA9iOo+EQzrVvNtDTDAoDdCCpwprG1OMePH5ft27dLdna2VKz4/ZRvNMMCgN0IKj7RTFs+ktHYmpuba4JKhw4dJC0trVzuAwCQWAQVn2imBQAgeQgqPtFMWz5obAUAFISg4hPNtOUnI72K7NixQ1asWFFuPSpq1apV0R4Vl7hen6pdu3aqVwFAkhFUYI2Dh45I3759y+32MzIyZPbs2dKlSxc5mKg59C3ien2qTp3a8re/PZXq1QCQRAQVn2imdWdmWte4Xp/uHrz6zkOpXg0ASebi6xkAAHAEIyo+0aMSXOXx7ck2cb0+VadOeqpXAUCSEVQABGYiP22mXb16dULWC0AwEFR8okcluFzv4bCxvkRP5KeT9hFUgHAhqPjEhG/B5fq3J7teH4BwIqj4xIRv7nx7smtsrI+J/ACUFUHFJ5ppg8v1ZlNb60vkRH6uT2pXVH18gSbCiqACIDAT+bk+qV1R9VWrli7r12+QzMzMlK0fkAoEFZ9opg0uG5tNE8n1+sJQY2H1fd+UfEhycnIIKggdgopPNNMGl+vNpq7XF4YaXa8PKA2Cik800waXjc2mieR6fWGosbD6aEpGmBFUfKKZNrhsbTZNFNfrC0ONRdVX3t8uniw2NkTTqGw3ggoABEB5f7t4stjYEE2jst0IKj7RTBtcYW3EdInrNbpen4010qhsP4KKTzTTBpfrjYqu1xeGGl2vLyw1IrEIKj7RTBtcYW3EdInrNbpen4010qhsP4KKTzTTBleYGzFd4XqNrtdna42JblS2pWG4bt26Tsy7Q1ABAIRaohuVbWkYrubIbMYEFZ9opg0u25r4Es31+sJQo+v1KWpMjvUOzWZMUPGJZtrgcr2Jz/X6wlCj6/UpaoRfBBWfaKYNLtua+BLN9frCUKPr9SlqTI71m8QZBBWfaKYNLhub+BLJ9frCUKPr9SlqTG6PSt26dSXoCCoAAJSDuXPnyimnnJKyx7YuR/2EE820weV6E5/r9YWhRtfrC0uN67d8/7NBgwaSlZWV6tUJPEZUfKKZNrhcb+Jzvb4w1Oh6fWGp0QtjSAyCik800waX6018rtcXhhpdry8sNW7YInJCi1SvhTsIKj7RTBtcrjfxuV5fGGp0vb6w1bhz586EzXbreh9KUQgqAACUg0suuaTcZ6at5sjss0UhqPhEM21wud7E53p9YajR9foUNSbOeodmny0KQcUnmmmDy/UmPtfrC0ONrtenqBF+EVR8opk2uFxv4nO9vjDU6Hp9ihoTZ71Ds88WhaDiE820weV6E5/r9YWhRtfrU9SYWNUcmX22KAQVAAASJD29ipmR9tixY5KdnS0VK5bv2FhdjvpBXjTTBpfrTXyu1xeGGl2vz/Uav29uPWJmpN2+fbt06NBB0tLSUr1agceIik800waX6018rtcXhhpdry8sNcLRoDJx4kQZNWqUDBs2TP7617+aZY8//rg8++yzZsKcffv2ye7du6VWrVrR39myZYuMHTtWFi1aZCbW0S9/6t+/v9x6661SpUqV6PVWr14tQ4cOlWXLlsnJJ58s1157rYwcObJU60kzbXC53sTnen1hqNH1+lyvMSzNraEMKhogpk2bJu3bt49bfuDAAendu7c5aYjJ6z//+Y8cP37c/G6LFi1k7dq1cvXVV8t3330n999/v7nO3r17pWfPntK9e3eZOnWqrFmzRgYOHGgCz+DBg32vK820weV6E5/r9YWhRtfrC0ONGelVzAdntWrVqlL1qISh7yRQQWX//v3Sr18/mT59uowbNy7usuHDh5ufixcvLvB3vRDjOe2002TDhg3y2GOPRYPKrFmz5MiRI/Lkk0+aUZa2bdvKypUr5cEHHyxVUAEAoDAHDx0xM9LOnj1bunTpUqqZacMw22yggorukunTp48Z8cgbVEpjz549ctJJJ0XPL1261DxZYncF9erVS+655x6zK6l27doF3s7hw4fNyaMjM+qh2zPkrJYVxDXHJUN2aCj8e4Zzw7FhqdH1+sJQo+v1KWos/gsNr75dZNeuXdKwYUOxUW5ubtxPP78TuKAyZ84c03+iu34SYePGjfLwww9HR1OUDsE1a9Ys7nr169ePXlZYUJkwYYKMGTMm3/ITmj0i2ytXE1ftqPykuM71Gl2vLww1ul6fosaC6bcu664xPWpITzZbuHBhia+rrRyBCyrbtm0zjbNaaHp6eplvTzeo7gb67W9/a/pUykp7YkaMGBE3otK4cWPZv3monN7ykDj5Kafyk9Lw6ECpKA7uOA5Bja7XF4YaXa9PUWPJRlR0DhY9vNlGOjqi7909evQo8eHX3l6JQAWV5cuXm6GtrKys6DJvgpwpU6aY3S6VKpXs2LUvvvhCfvKTn8h5551njhSKpcezf/nll3HLvPN6WWGqVq1qTnldN/agHDp0yNkGt66XHSz3b/tMFddrdL2+MNToen2KGkvWo1KvXj3r52BJS0sr8TqWpZaUBZVu3bqZI3BiXXnlldKqVSu56aabShxSdCRFQ0rHjh3lqaeeytdh3alTJ3O4siZA74HSJNiyZctCd/sAAEo2C+u8eS/66qXQIzX1dTsZs7amSllr5KgfS4JKjRo1pF27dnHLqlevLnXq1Iku1x4SPWnvidJgo7+nndDaMKtPhK5du0qTJk1MX8pXX30VvS1vtOTSSy81vSaDBg0yAUgPYZ48ebJMmjSpVOvNzLTB5fKMmGGoLww1Bqk+bxZWDSmxI+PF0Q+Nrs/aGoYaQ3XUT1F03pPYhlY9ekfpyMkVV1xhRkY0xOipUaNGcb8biUTMzxNPPFEWLFhgji7SURdNqnfccUepD01mZtrgcn1GTNfrC0ONrtcHBD6o5J0vZfTo0eZUGA0reiqOTiT33nvvJWQdmZk2uFyeETMM9YWhxiDVxyysCGVQCQJmpg0u52fEdLy+MNQYtPq06VNHqYHyRFABAEuaToPWaErTJ5KBoOITzbTBFaRGxdJwvb6g1uin6ZQmTCA/gopPNNMGl+uNiq7XF5YaAcQjqPhEM21wBalRsTRcry+oNdJ0CpQNQcUnmmmDK2iNin65Xl+Qa6TpFCg9ggpCrzSza9ooaI2YYaqRplOg9AgqPtFM61YjZmln17RRGBoxw1AjgHgEFZ9opg0uGjEBIHgIKj7RTOtWIyaNjgBgN4KKTzTTuteImZFRldk1AcBSwelGA8rJ/76/EgBgIUZUfKKZ1sVm2sOSk5MjmZmZKV5DAEBeBBWfaKYNLpppASB4CCo+0UwbXDTTAkDwEFR8opnWvWZaZg0FAHsRVHx6/fXXpWbNmuKaoM74mYgamTUUAOxFUPHpjDPOkDp16ohrwjDjZxhqBADXuPnRGQAAOIGgAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUAAGAtggoAALAWQQUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAA1iKoAAAAaxFUAACAtQgqAADAWgQVAABgrcqpXoGgiEQi5ue+ffskLS1NXJObmysHDhyQvXv3OllfGGp0vb4w1Oh6fYoaw7kN9+7dG/de6gdBpYS+/vpr87NZs2a+H2QAACDmw/6JJ57o66EgqJTQSSedZH5u3brV94McBJp2GzduLNu2bZOaNWuKi1yv0fX6wlCj6/UpagznNoxEIiaknHLKKb7vj6BSQhUrft/OoyHF1RcQpbW5XF8YanS9vjDU6Hp9ihrDtw1PLOWHfJppAQCAtQgqAADAWgSVEqpatarceeed5qeLXK8vDDW6Xl8YanS9PkWNwVc1yc/TCpHSHCsEAACQBIyoAAAAaxFUAACAtQgqAADAWgQVAABgLYJKCTzyyCPStGlTSU9Pl3POOUc+/PBDsVF2drb87Gc/MzP/VahQQV5++eW4y7Vv+o477pCGDRtKRkaGdO/eXT799NO463zzzTfSr18/M4lPrVq1ZNCgQbJ///6466xevVo6d+5sHg+dnfDee+9NSn0TJkyQH/7wh1KjRg2pV6+e/OIXv5ANGzbEXefQoUMydOhQqVOnjpxwwgny61//Wr788su46+jswn369JFq1aqZ27nxxhvl6NGjcddZvHixZGVlma72Fi1ayIwZM5JS42OPPSbt27ePTqTUqVMnef31152pL6+JEyea5+rw4cOdqXH06NGmpthTq1atnKlPbd++Xfr3729q0NeSM844Q/79738781qjr/d5t6GedLu5sg2PHTsmt99+u/laGN1GzZs3l7Fjx8Z9F48121GP+kHh5syZE6lSpUrkySefjKxbty5y9dVXR2rVqhX58ssvrXvYXnvttcitt94aefHFF/WZFnnppZfiLp84cWLkxBNPjLz88suRVatWRX7+859HmjVrFjl48GD0Or1794506NAh8n//93+R9957L9KiRYvIH/7wh+jle/bsidSvXz/Sr1+/yNq1ayOzZ8+OZGRkRKZNm1bu9fXq1Svy1FNPmftduXJl5Kc//WkkMzMzsn///uh1hgwZEmncuHHk7bffjvz73/+OnHvuuZHzzjsvevnRo0cj7dq1i3Tv3j3y0Ucfmcesbt26kVGjRkWvs2nTpki1atUiI0aMiHz88ceRhx9+OFKpUqXIG2+8Ue41zp8/P/Lqq69GPvnkk8iGDRsit9xySyQtLc3U7EJ9sT788MNI06ZNI+3bt48MGzYsujzoNd55552Rtm3bRnbs2BE9ffXVV87U980330SaNGkSueKKKyIffPCBWZc333wzsnHjRmdea3bt2hW3/RYuXGheU9955x0ntqEaP358pE6dOpFXXnklsnnz5sjzzz8fOeGEEyKTJ0+O2LYdCSrF+NGPfhQZOnRo9PyxY8cip5xySmTChAkRm+UNKsePH480aNAgct9990WXffvtt5GqVauaJ47SPxb9vWXLlkWv8/rrr0cqVKgQ2b59uzn/6KOPRmrXrh05fPhw9Do33XRTpGXLlpFk0xcTXd933303Wo++qesfnGf9+vXmOkuXLjXn9QWjYsWKkZ07d0av89hjj0Vq1qwZrWnkyJHmjSbW7373OxOUUkEf7yeeeMKp+vbt2xc5/fTTzRvABRdcEA0qLtSoQUVfuAviQn36937++ecXermLrzX6/GzevLmpzYVtqPr06RMZOHBgJNavfvUrEyhs247s+inCkSNHZPny5Wa4K/Y7f/T80qVLJUg2b94sO3fujKtFv3dBd2V5tehPHbo7++yzo9fR62vNH3zwQfQ6Xbp0kSpVqkSv06tXL7MLZvfu3Umtac+ePXFfGKnbSr9+PLZGHXLPzMyMq1GHqevXrx+3/volW+vWrYteJ/Y2vOske5vr0OycOXPku+++M7uAXKpPh811WDzverhSow6P6y7Y0047zQyL624AV+qbP3++eY347W9/a3ZpnHXWWTJ9+nRnX2v0fWDmzJkycOBAs/vHhW2ozjvvPHn77bflk08+MedXrVol77//vlx00UXWbUeCShFycnLMm0Xsk03ped2AQeKtb1G16E994YlVuXJlEwRir1PQbcTeRzIcP37c9DX8+Mc/lnbt2kXvX/8Y9A8n7/r5Wf/CrqMvMgcPHpTytmbNGrPfW/dbDxkyRF566SVp06aNM/Vp+FqxYoXpOcrLhRr1hVx7Dd544w3Tc6Qv+Lp/Xr851oX6Nm3aZOo6/fTT5c0335RrrrlGrrvuOnn66aedfK3RXr9vv/1Wrrjiiuh9B30bqptvvll+//vfm5CVlpZmAqe+pmqwtm078u3JCCT9RL527VrzCcA1LVu2lJUrV5oRo3nz5smAAQPk3XffFRfo18IPGzZMFi5caBrrXOR9IlXaGK3BpUmTJjJ37lzTkBh0+iFBP0Hffffd5ry+wenf4tSpU81z1TV/+9vfzDbVETKXzJ07V2bNmiXPPvustG3b1rzmaFDROm3bjoyoFKFu3bpSqVKlfN3cer5BgwYSJN76FlWL/ty1a1fc5dqlrl3dsdcp6DZi76O8/fnPf5ZXXnlF3nnnHWnUqFF0ud6/DtPqp5+86+dn/Qu7jna1J+ONRj+t6REAHTt2NKMOHTp0kMmTJztRnw6b63NMj3TQT1560hD20EMPmf/rJ62g15iXfvL+wQ9+IBs3bnRiG+oRIDrCF6t169bR3VsuvdZ8/vnn8tZbb8lVV10VXebCNlR6FJI3qqK7qS677DK5/vrroyOdNm1Hgkoxbxj6ZqH78WI/Teh57RkIEj0ETZ8UsbXoEKPuR/Rq0Z/6x6dvJp5FixaZmvVToXcdPQxa99F69NOxjgLUrl27XGvQHmENKborRNdLa4ql20qHMGNr1P2g+gIaW6PuWon949L11xcH78VXrxN7G951UrXN9fE/fPiwE/V169bNrJ9+evNO+ulch5u9/we9xrz0UM3PPvvMvMG7sA11d2veaQG0z0FHjVx5rfE89dRTZteG9lN5XNiG6sCBA6aXJJZ+MNdtYN12LHHbbYgPT9Yu5xkzZpgO58GDB5vDk2O7uW2hR1LooXB60k374IMPmv9//vnn0UPNdN3/8Y9/RFavXh25+OKLCzzU7KyzzjKHHb7//vvmyIzYQ82061sPNbvsssvMoWb6+Oghdsk4ZPCaa64xh8otXrw47tDBAwcORK+jhw3qIcuLFi0yhw126tTJnPIeNtizZ09ziLMeCnjyyScXeNjgjTfeaLr5H3nkkaQdNnjzzTebo5j0cEHdRnpeO+gXLFjgRH0FiT3qx4Uab7jhBvMc1W34r3/9yxyiqoem6lFqLtSnh5VXrlzZHN766aefRmbNmmXWZebMmdHrBP21xjvCU7eTHqGSV9C3oRowYEDk1FNPjR6erNNa6PNUj0aybTsSVEpAj2/XJ6XOp6KHK+vx4jbSY/w1oOQ96RPSO9zs9ttvN08aDV/dunUzc3XE+vrrr82TTI+n10PprrzyShOAYunx9Hp4ot6GPtH1yZwMBdWmJ51bxaN/QH/605/M4XD6x/DLX/7ShJlYW7ZsiVx00UXmWH79w9Q3ltzc3HyP5Zlnnmm2+WmnnRZ3H+VJDxfUOSr0fvWFTbeRF1JcqK8kQSXoNeohpg0bNjT3q38fej52jpGg16f++c9/mjdifQ1o1apV5PHHH4+7POivNUrnhtHXl7zr7co23Lt3r/m70/e29PR0c/86D1fsYcS2bMcK+k/Jxl4AAACSix4VAABgLYIKAACwFkEFAABYi6ACAACsRVABAADWIqgAAABrEVQAAIC1CCoAAMBaBBUA1mvatKn89a9/TfVqAEgBggqAcvWzn/1MevfuXeBl7733nlSoUEFWr17NVgBQIIIKgHI1aNAg822p//3vfwv8dlr9xuT27duzFQAUiKACoFz17dtXTj75ZJkxY0bc8v3798vzzz9vgswLL7wgbdu2lapVq5rdPA888ECht7dlyxYzCrNy5croMv2qeV22ePFic15/6vk333xTzjrrLMnIyJALL7xQdu3aJa+//rq0bt1aatasKZdeeqn5unuPfj39hAkTzFfc6+906NBB5s2bVy6PC4CSIagAKFeVK1eWyy+/3ASV2O9A1ZBy7NgxExouueQS+f3vfy9r1qyR0aNHy+23354v2JSG3taUKVNkyZIlsm3bNnM/2uvy7LPPyquvvioLFiyQhx9+OHp9DSnPPPOMTJ06VdatWyfXX3+99O/fX959990yrwuAUirbF0UDQPHWr1+vCcV8rb2nc+fOkf79+0cuvfTSSI8ePeKuf+ONN0batGkTPd+kSZPIpEmTzP83b95sbuujjz6KXr579+6429efev6tt96KXmfChAlm2WeffRZd9sc//jHSq1cv8/9Dhw5FqlWrFlmyZEncugwaNMh8jT2A1GBEBUC5a9WqlZx33nny5JNPmvMbN240jbS622f9+vXy4x//OO76ev7TTz81Iy5lEdv7Ur9+falWrZqcdtppcct0d5C3TrobqEePHnLCCSdETzrC8tlnn5VpPQCUXuUy/C4AlJiGkmuvvVYeeeQR00TbvHlzueCCC3w/ghUrfv/5KnY3Um5uboHXTUtLi/5fe1Ziz3vLtC/F65lRukvo1FNPjbue9s4ASA1GVAAkhfaHaMjQ/hAdpRg4cKAJCtqj8q9//Svuunr+Bz/4gVSqVCnf7WhjrtqxY0d0WWxjbWm1adPGBJKtW7dKixYt4k6NGzcu8+0DKB1GVAAkhe5G+d3vfiejRo2SvXv3yhVXXGGW33DDDfLDH/5Qxo4day5funSpaYB99NFHC7wdPRrn3HPPlYkTJ5qjc3TXzW233Vbm9atRo4b85S9/MQ20Ospy/vnny549e0xo0iOEBgwYUOb7AOAfIyoAkrr7Z/fu3dKrVy855ZRTzLKsrCyZO3euzJkzR9q1ayd33HGH3HXXXdEgUxDtdTl69Kh07NhRhg8fLuPGjUvI+mlY0iOO9OgfHenRiep0V5AGIgCpUUE7alN03wAAAEViRAUAAFiLoAIAAKxFUAEAANYiqAAAAGsRVAAAgLUIKgAAwFoEFQAAYC2CCgAAsBZBBQAAWIugAgAArEVQAQAAYqv/B2K3gqqamzHfAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import MetaTrader5 as mt5\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from datetime import datetime, timedelta, timezone\n",
    "\n",
    "# ------------------------------\n",
    "# 1. Initialize MT5\n",
    "# ------------------------------\n",
    "if not mt5.initialize():\n",
    "    print(\"MT5 initialization failed\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "\n",
    "symbol = \"XAUUSDc\"\n",
    "timeframe = mt5.TIMEFRAME_M1  # 1-minute bars for accurate volume profile\n",
    "utc_offset = timezone.utc\n",
    "\n",
    "# ------------------------------\n",
    "# 2. Define date range\n",
    "# ------------------------------\n",
    "# Example: last 7 days\n",
    "end_date = datetime.now(tz=utc_offset)\n",
    "start_date = end_date - timedelta(days=7)\n",
    "\n",
    "# ------------------------------\n",
    "# 3. Fetch data\n",
    "# ------------------------------\n",
    "rates = mt5.copy_rates_range(symbol, timeframe, start_date, end_date)\n",
    "if rates is None:\n",
    "    print(\"No data fetched\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "\n",
    "# Convert to DataFrame\n",
    "df = pd.DataFrame(rates)\n",
    "df['time'] = pd.to_datetime(df['time'], unit='s', utc=True)\n",
    "df.set_index('time', inplace=True)\n",
    "\n",
    "# ------------------------------\n",
    "# 4. Filter for 12:00 - 13:00 UTC each day\n",
    "# ------------------------------\n",
    "df_hour = df.between_time('12:00', '13:00')\n",
    "\n",
    "# ------------------------------\n",
    "# 5. Build volume profile\n",
    "# ------------------------------\n",
    "def volume_profile(df_hour, price_step=1):\n",
    "    \"\"\"Build a simple volume profile (price vs total volume)\"\"\"\n",
    "    prices = np.arange(df_hour['low'].min(), df_hour['high'].max() + price_step, price_step)\n",
    "    volume_by_price = np.zeros_like(prices, dtype=float)\n",
    "\n",
    "    for i, price in enumerate(prices):\n",
    "        # Sum volume where price touched this level (including wicks)\n",
    "        mask = (df_hour['low'] <= price) & (df_hour['high'] >= price)\n",
    "        volume_by_price[i] = df_hour.loc[mask, 'tick_volume'].sum()\n",
    "\n",
    "    return prices, volume_by_price\n",
    "\n",
    "prices, volumes = volume_profile(df_hour, price_step=1)\n",
    "\n",
    "# ------------------------------\n",
    "# 6. Plot volume profile\n",
    "# ------------------------------\n",
    "plt.figure(figsize=(6, 10))\n",
    "plt.barh(prices, volumes, height=0.8, color='gold', edgecolor='black')\n",
    "plt.xlabel(\"Volume\")\n",
    "plt.ylabel(\"Price\")\n",
    "plt.title(f\"Volume Profile {symbol} 12:00-13:00 UTC\")\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# ------------------------------\n",
    "# 7. Shutdown MT5\n",
    "# ------------------------------\n",
    "mt5.shutdown()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eb4e6d9b-5fd6-40ec-8b96-f054d3a3d99c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  time  price_bin      volume\n",
      "0  2025-10-31 12:00:00   4009.075  186.372727\n",
      "1  2025-10-31 12:00:00   4009.325  186.372727\n",
      "2  2025-10-31 12:00:00   4009.575  186.372727\n",
      "3  2025-10-31 12:00:00   4009.825  186.372727\n",
      "4  2025-10-31 12:00:00   4010.075  186.372727\n",
      "5  2025-10-31 12:00:00   4010.325  186.372727\n",
      "6  2025-10-31 12:00:00   4010.575  186.372727\n",
      "7  2025-10-31 12:00:00   4010.825  186.372727\n",
      "8  2025-10-31 12:00:00   4011.075  186.372727\n",
      "9  2025-10-31 12:00:00   4011.325  186.372727\n",
      "10 2025-10-31 12:00:00   4011.575  186.372727\n",
      "11 2025-10-31 12:00:00   4011.825  186.372727\n",
      "12 2025-10-31 12:00:00   4012.075  186.372727\n",
      "13 2025-10-31 12:00:00   4012.325  186.372727\n",
      "14 2025-10-31 12:00:00   4012.575  186.372727\n",
      "15 2025-10-31 12:00:00   4012.825  186.372727\n",
      "16 2025-10-31 12:00:00   4013.075  186.372727\n",
      "17 2025-10-31 12:00:00   4013.325  186.372727\n",
      "18 2025-10-31 12:00:00   4013.575  186.372727\n",
      "19 2025-10-31 12:00:00   4013.825  186.372727\n"
     ]
    }
   ],
   "source": [
    "import MetaTrader5 as mt5\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# -------------------------------\n",
    "# 1. Initialize MT5\n",
    "# -------------------------------\n",
    "if not mt5.initialize():\n",
    "    print(\"MT5 initialization failed\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "\n",
    "symbol = \"XAUUSDc\"\n",
    "timeframe = mt5.TIMEFRAME_H1\n",
    "n_bars = 500\n",
    "\n",
    "rates = mt5.copy_rates_from_pos(symbol, timeframe, 0, n_bars)\n",
    "mt5.shutdown()  # shutdown immediately after fetching data\n",
    "\n",
    "if rates is None:\n",
    "    print(\"Failed to get data\")\n",
    "    exit()\n",
    "\n",
    "# -------------------------------\n",
    "# 2. Convert to DataFrame and filter 12 UTC\n",
    "# -------------------------------\n",
    "df = pd.DataFrame(rates)\n",
    "df['time'] = pd.to_datetime(df['time'], unit='s')\n",
    "df['hour'] = df['time'].dt.hour\n",
    "df_12_utc = df[df['hour'] == 12].copy()\n",
    "\n",
    "# -------------------------------\n",
    "# 3. Create Volume Profile per candle\n",
    "# -------------------------------\n",
    "volume_profiles = []\n",
    "\n",
    "bin_size = 0.25  # 0.25 price units per bin\n",
    "\n",
    "for idx, row in df_12_utc.iterrows():\n",
    "    o, h, l, c, vol = row['open'], row['high'], row['low'], row['close'], row['tick_volume']\n",
    "\n",
    "    # Generate price bins\n",
    "    bins = np.arange(l, h + bin_size, bin_size)\n",
    "    \n",
    "    # Assign tick volume evenly to bins (simple approach)\n",
    "    bin_vols = np.full(len(bins), vol / len(bins))  # uniform allocation\n",
    "    \n",
    "    profile_df = pd.DataFrame({\n",
    "        'time': row['time'],\n",
    "        'price_bin': bins,\n",
    "        'volume': bin_vols\n",
    "    })\n",
    "    \n",
    "    volume_profiles.append(profile_df)\n",
    "\n",
    "# Combine all profiles\n",
    "volume_profile_df = pd.concat(volume_profiles, ignore_index=True)\n",
    "\n",
    "# -------------------------------\n",
    "# 4. Result\n",
    "# -------------------------------\n",
    "print(volume_profile_df.head(20))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a206d988-d00f-4945-8bf6-cd2b26b30106",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MT5 initialized\n",
      "                         open      high       low     close  tick_volume  \\\n",
      "time                                                                       \n",
      "2025-10-31 07:00:00  4013.097  4025.306  4007.446  4021.041        19139   \n",
      "2025-10-31 08:00:00  4021.002  4026.871  4006.614  4010.481        18134   \n",
      "2025-10-31 09:00:00  4010.442  4014.320  3998.795  4008.531        16934   \n",
      "2025-10-31 10:00:00  4008.522  4016.816  4003.540  4007.458        14173   \n",
      "2025-10-31 11:00:00  4007.413  4011.227  4001.697  4010.585        13371   \n",
      "\n",
      "                     spread  real_volume  \n",
      "time                                      \n",
      "2025-10-31 07:00:00     160            0  \n",
      "2025-10-31 08:00:00     160            0  \n",
      "2025-10-31 09:00:00     160            0  \n",
      "2025-10-31 10:00:00     160            0  \n",
      "2025-10-31 11:00:00     160            0  \n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import MetaTrader5 as mt5\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "\n",
    "# -------------------------------\n",
    "# 1. Initialize MT5 connection\n",
    "# -------------------------------\n",
    "if not mt5.initialize():\n",
    "    print(\"MT5 initialization failed\")\n",
    "    mt5.shutdown()\n",
    "else:\n",
    "    print(\"MT5 initialized\")\n",
    "\n",
    "# -------------------------------\n",
    "# 2. Set symbol and timeframe\n",
    "# -------------------------------\n",
    "symbol = \"XAUUSDc\"  # Your symbol in MT5\n",
    "timeframe = mt5.TIMEFRAME_H1  # 1-hour candles\n",
    "n_bars = 500  # Number of bars to fetch\n",
    "\n",
    "# -------------------------------\n",
    "# 3. Fetch data\n",
    "# -------------------------------\n",
    "rates = mt5.copy_rates_from_pos(symbol, timeframe, 0, n_bars)\n",
    "\n",
    "if rates is None:\n",
    "    print(\"Failed to get data\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "\n",
    "# -------------------------------\n",
    "# 4. Convert to DataFrame\n",
    "# -------------------------------\n",
    "df = pd.DataFrame(rates)\n",
    "df['time'] = pd.to_datetime(df['time'], unit='s')\n",
    "df.set_index('time', inplace=True)\n",
    "\n",
    "print(df.head())\n",
    "\n",
    "# -------------------------------\n",
    "# 5. Plot the chart\n",
    "# -------------------------------\n",
    "plt.figure(figsize=(14, 7))\n",
    "plt.plot(df.index, df['close'], label='Close Price', color='gold')\n",
    "plt.plot(df.index, df['open'], label='Open Price', color='orange', alpha=0.6)\n",
    "plt.fill_between(df.index, df['low'], df['high'], color='yellow', alpha=0.1)\n",
    "plt.title('XAUUSDc Price Chart (H1)')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Price')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# -------------------------------\n",
    "# 6. Shutdown MT5\n",
    "# -------------------------------\n",
    "mt5.shutdown()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5259e128-35ee-4b27-aa09-87b17060dea9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  time  price_bin      volume\n",
      "0  2025-10-31 12:00:00   4009.075  186.372727\n",
      "1  2025-10-31 12:00:00   4009.325  186.372727\n",
      "2  2025-10-31 12:00:00   4009.575  186.372727\n",
      "3  2025-10-31 12:00:00   4009.825  186.372727\n",
      "4  2025-10-31 12:00:00   4010.075  186.372727\n",
      "5  2025-10-31 12:00:00   4010.325  186.372727\n",
      "6  2025-10-31 12:00:00   4010.575  186.372727\n",
      "7  2025-10-31 12:00:00   4010.825  186.372727\n",
      "8  2025-10-31 12:00:00   4011.075  186.372727\n",
      "9  2025-10-31 12:00:00   4011.325  186.372727\n",
      "10 2025-10-31 12:00:00   4011.575  186.372727\n",
      "11 2025-10-31 12:00:00   4011.825  186.372727\n",
      "12 2025-10-31 12:00:00   4012.075  186.372727\n",
      "13 2025-10-31 12:00:00   4012.325  186.372727\n",
      "14 2025-10-31 12:00:00   4012.575  186.372727\n",
      "15 2025-10-31 12:00:00   4012.825  186.372727\n",
      "16 2025-10-31 12:00:00   4013.075  186.372727\n",
      "17 2025-10-31 12:00:00   4013.325  186.372727\n",
      "18 2025-10-31 12:00:00   4013.575  186.372727\n",
      "19 2025-10-31 12:00:00   4013.825  186.372727\n"
     ]
    }
   ],
   "source": [
    "import MetaTrader5 as mt5\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# -------------------------------\n",
    "# 1. Initialize MT5\n",
    "# -------------------------------\n",
    "if not mt5.initialize():\n",
    "    print(\"MT5 initialization failed\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "\n",
    "symbol = \"XAUUSDc\"\n",
    "timeframe = mt5.TIMEFRAME_H1\n",
    "n_bars = 500\n",
    "\n",
    "rates = mt5.copy_rates_from_pos(symbol, timeframe, 0, n_bars)\n",
    "mt5.shutdown()  # shutdown immediately after fetching data\n",
    "\n",
    "if rates is None:\n",
    "    print(\"Failed to get data\")\n",
    "    exit()\n",
    "\n",
    "# -------------------------------\n",
    "# 2. Convert to DataFrame and filter 12 UTC\n",
    "# -------------------------------\n",
    "df = pd.DataFrame(rates)\n",
    "df['time'] = pd.to_datetime(df['time'], unit='s')\n",
    "df['hour'] = df['time'].dt.hour\n",
    "df_12_utc = df[df['hour'] == 12].copy()\n",
    "\n",
    "# -------------------------------\n",
    "# 3. Create Volume Profile per candle\n",
    "# -------------------------------\n",
    "volume_profiles = []\n",
    "\n",
    "bin_size = 0.25  # 0.25 price units per bin\n",
    "\n",
    "for idx, row in df_12_utc.iterrows():\n",
    "    o, h, l, c, vol = row['open'], row['high'], row['low'], row['close'], row['tick_volume']\n",
    "\n",
    "    # Generate price bins\n",
    "    bins = np.arange(l, h + bin_size, bin_size)\n",
    "    \n",
    "    # Assign tick volume evenly to bins (simple approach)\n",
    "    bin_vols = np.full(len(bins), vol / len(bins))  # uniform allocation\n",
    "    \n",
    "    profile_df = pd.DataFrame({\n",
    "        'time': row['time'],\n",
    "        'price_bin': bins,\n",
    "        'volume': bin_vols\n",
    "    })\n",
    "    \n",
    "    volume_profiles.append(profile_df)\n",
    "\n",
    "# Combine all profiles\n",
    "volume_profile_df = pd.concat(volume_profiles, ignore_index=True)\n",
    "\n",
    "# -------------------------------\n",
    "# 4. Result\n",
    "# -------------------------------\n",
    "print(volume_profile_df.head(20))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "57c52f23-06c3-47d9-b018-632ad3448319",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MT5 initialized\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "close": {
          "bdata": "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",
          "dtype": "f8"
         },
         "decreasing": {
          "line": {
           "color": "red"
          }
         },
         "high": {
          "bdata": "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",
          "dtype": "f8"
         },
         "increasing": {
          "line": {
           "color": "green"
          }
         },
         "low": {
          "bdata": "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",
          "dtype": "f8"
         },
         "open": {
          "bdata": "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",
          "dtype": "f8"
         },
         "type": "candlestick",
         "x": [
          "2025-10-31T07:00:00.000000000",
          "2025-10-31T08:00:00.000000000",
          "2025-10-31T09:00:00.000000000",
          "2025-10-31T10:00:00.000000000",
          "2025-10-31T11:00:00.000000000",
          "2025-10-31T12:00:00.000000000",
          "2025-10-31T13:00:00.000000000",
          "2025-10-31T14:00:00.000000000",
          "2025-10-31T15:00:00.000000000",
          "2025-10-31T16:00:00.000000000",
          "2025-10-31T17:00:00.000000000",
          "2025-10-31T18:00:00.000000000",
          "2025-10-31T19:00:00.000000000",
          "2025-10-31T20:00:00.000000000",
          "2025-11-02T23:00:00.000000000",
          "2025-11-03T00:00:00.000000000",
          "2025-11-03T01:00:00.000000000",
          "2025-11-03T02:00:00.000000000",
          "2025-11-03T03:00:00.000000000",
          "2025-11-03T04:00:00.000000000",
          "2025-11-03T05:00:00.000000000",
          "2025-11-03T06:00:00.000000000",
          "2025-11-03T07:00:00.000000000",
          "2025-11-03T08:00:00.000000000",
          "2025-11-03T09:00:00.000000000",
          "2025-11-03T10:00:00.000000000",
          "2025-11-03T11:00:00.000000000",
          "2025-11-03T12:00:00.000000000",
          "2025-11-03T13:00:00.000000000",
          "2025-11-03T14:00:00.000000000",
          "2025-11-03T15:00:00.000000000",
          "2025-11-03T16:00:00.000000000",
          "2025-11-03T17:00:00.000000000",
          "2025-11-03T18:00:00.000000000",
          "2025-11-03T19:00:00.000000000",
          "2025-11-03T20:00:00.000000000",
          "2025-11-03T21:00:00.000000000",
          "2025-11-03T23:00:00.000000000",
          "2025-11-04T00:00:00.000000000",
          "2025-11-04T01:00:00.000000000",
          "2025-11-04T02:00:00.000000000",
          "2025-11-04T03:00:00.000000000",
          "2025-11-04T04:00:00.000000000",
          "2025-11-04T05:00:00.000000000",
          "2025-11-04T06:00:00.000000000",
          "2025-11-04T07:00:00.000000000",
          "2025-11-04T08:00:00.000000000",
          "2025-11-04T09:00:00.000000000",
          "2025-11-04T10:00:00.000000000",
          "2025-11-04T11:00:00.000000000",
          "2025-11-04T12:00:00.000000000",
          "2025-11-04T13:00:00.000000000",
          "2025-11-04T14:00:00.000000000",
          "2025-11-04T15:00:00.000000000",
          "2025-11-04T16:00:00.000000000",
          "2025-11-04T17:00:00.000000000",
          "2025-11-04T18:00:00.000000000",
          "2025-11-04T19:00:00.000000000",
          "2025-11-04T20:00:00.000000000",
          "2025-11-04T21:00:00.000000000",
          "2025-11-04T23:00:00.000000000",
          "2025-11-05T00:00:00.000000000",
          "2025-11-05T01:00:00.000000000",
          "2025-11-05T02:00:00.000000000",
          "2025-11-05T03:00:00.000000000",
          "2025-11-05T04:00:00.000000000",
          "2025-11-05T05:00:00.000000000",
          "2025-11-05T06:00:00.000000000",
          "2025-11-05T07:00:00.000000000",
          "2025-11-05T08:00:00.000000000",
          "2025-11-05T09:00:00.000000000",
          "2025-11-05T10:00:00.000000000",
          "2025-11-05T11:00:00.000000000",
          "2025-11-05T12:00:00.000000000",
          "2025-11-05T13:00:00.000000000",
          "2025-11-05T14:00:00.000000000",
          "2025-11-05T15:00:00.000000000",
          "2025-11-05T16:00:00.000000000",
          "2025-11-05T17:00:00.000000000",
          "2025-11-05T18:00:00.000000000",
          "2025-11-05T19:00:00.000000000",
          "2025-11-05T20:00:00.000000000",
          "2025-11-05T21:00:00.000000000",
          "2025-11-05T23:00:00.000000000",
          "2025-11-06T00:00:00.000000000",
          "2025-11-06T01:00:00.000000000",
          "2025-11-06T02:00:00.000000000",
          "2025-11-06T03:00:00.000000000",
          "2025-11-06T04:00:00.000000000",
          "2025-11-06T05:00:00.000000000",
          "2025-11-06T06:00:00.000000000",
          "2025-11-06T07:00:00.000000000",
          "2025-11-06T08:00:00.000000000",
          "2025-11-06T09:00:00.000000000",
          "2025-11-06T10:00:00.000000000",
          "2025-11-06T11:00:00.000000000",
          "2025-11-06T12:00:00.000000000",
          "2025-11-06T13:00:00.000000000",
          "2025-11-06T14:00:00.000000000",
          "2025-11-06T15:00:00.000000000",
          "2025-11-06T16:00:00.000000000",
          "2025-11-06T17:00:00.000000000",
          "2025-11-06T18:00:00.000000000",
          "2025-11-06T19:00:00.000000000",
          "2025-11-06T20:00:00.000000000",
          "2025-11-06T21:00:00.000000000",
          "2025-11-06T23:00:00.000000000",
          "2025-11-07T00:00:00.000000000",
          "2025-11-07T01:00:00.000000000",
          "2025-11-07T02:00:00.000000000",
          "2025-11-07T03:00:00.000000000",
          "2025-11-07T04:00:00.000000000",
          "2025-11-07T05:00:00.000000000",
          "2025-11-07T06:00:00.000000000",
          "2025-11-07T07:00:00.000000000",
          "2025-11-07T08:00:00.000000000",
          "2025-11-07T09:00:00.000000000",
          "2025-11-07T10:00:00.000000000",
          "2025-11-07T11:00:00.000000000",
          "2025-11-07T12:00:00.000000000",
          "2025-11-07T13:00:00.000000000",
          "2025-11-07T14:00:00.000000000",
          "2025-11-07T15:00:00.000000000",
          "2025-11-07T16:00:00.000000000",
          "2025-11-07T17:00:00.000000000",
          "2025-11-07T18:00:00.000000000",
          "2025-11-07T19:00:00.000000000",
          "2025-11-07T20:00:00.000000000",
          "2025-11-07T21:00:00.000000000",
          "2025-11-09T23:00:00.000000000",
          "2025-11-10T00:00:00.000000000",
          "2025-11-10T01:00:00.000000000",
          "2025-11-10T02:00:00.000000000",
          "2025-11-10T03:00:00.000000000",
          "2025-11-10T04:00:00.000000000",
          "2025-11-10T05:00:00.000000000",
          "2025-11-10T06:00:00.000000000",
          "2025-11-10T07:00:00.000000000",
          "2025-11-10T08:00:00.000000000",
          "2025-11-10T09:00:00.000000000",
          "2025-11-10T10:00:00.000000000",
          "2025-11-10T11:00:00.000000000",
          "2025-11-10T12:00:00.000000000",
          "2025-11-10T13:00:00.000000000",
          "2025-11-10T14:00:00.000000000",
          "2025-11-10T15:00:00.000000000",
          "2025-11-10T16:00:00.000000000",
          "2025-11-10T17:00:00.000000000",
          "2025-11-10T18:00:00.000000000",
          "2025-11-10T19:00:00.000000000",
          "2025-11-10T20:00:00.000000000",
          "2025-11-10T21:00:00.000000000",
          "2025-11-10T23:00:00.000000000",
          "2025-11-11T00:00:00.000000000",
          "2025-11-11T01:00:00.000000000",
          "2025-11-11T02:00:00.000000000",
          "2025-11-11T03:00:00.000000000",
          "2025-11-11T04:00:00.000000000",
          "2025-11-11T05:00:00.000000000",
          "2025-11-11T06:00:00.000000000",
          "2025-11-11T07:00:00.000000000",
          "2025-11-11T08:00:00.000000000",
          "2025-11-11T09:00:00.000000000",
          "2025-11-11T10:00:00.000000000",
          "2025-11-11T11:00:00.000000000",
          "2025-11-11T12:00:00.000000000",
          "2025-11-11T13:00:00.000000000",
          "2025-11-11T14:00:00.000000000",
          "2025-11-11T15:00:00.000000000",
          "2025-11-11T16:00:00.000000000",
          "2025-11-11T17:00:00.000000000",
          "2025-11-11T18:00:00.000000000",
          "2025-11-11T19:00:00.000000000",
          "2025-11-11T20:00:00.000000000",
          "2025-11-11T21:00:00.000000000",
          "2025-11-11T23:00:00.000000000",
          "2025-11-12T00:00:00.000000000",
          "2025-11-12T01:00:00.000000000",
          "2025-11-12T02:00:00.000000000",
          "2025-11-12T03:00:00.000000000",
          "2025-11-12T04:00:00.000000000",
          "2025-11-12T05:00:00.000000000",
          "2025-11-12T06:00:00.000000000",
          "2025-11-12T07:00:00.000000000",
          "2025-11-12T08:00:00.000000000",
          "2025-11-12T09:00:00.000000000",
          "2025-11-12T10:00:00.000000000",
          "2025-11-12T11:00:00.000000000",
          "2025-11-12T12:00:00.000000000",
          "2025-11-12T13:00:00.000000000",
          "2025-11-12T14:00:00.000000000",
          "2025-11-12T15:00:00.000000000",
          "2025-11-12T16:00:00.000000000",
          "2025-11-12T17:00:00.000000000",
          "2025-11-12T18:00:00.000000000",
          "2025-11-12T19:00:00.000000000",
          "2025-11-12T20:00:00.000000000",
          "2025-11-12T21:00:00.000000000",
          "2025-11-12T23:00:00.000000000",
          "2025-11-13T00:00:00.000000000",
          "2025-11-13T01:00:00.000000000",
          "2025-11-13T02:00:00.000000000",
          "2025-11-13T03:00:00.000000000",
          "2025-11-13T04:00:00.000000000",
          "2025-11-13T05:00:00.000000000",
          "2025-11-13T06:00:00.000000000",
          "2025-11-13T07:00:00.000000000",
          "2025-11-13T08:00:00.000000000",
          "2025-11-13T09:00:00.000000000",
          "2025-11-13T10:00:00.000000000",
          "2025-11-13T11:00:00.000000000",
          "2025-11-13T12:00:00.000000000",
          "2025-11-13T13:00:00.000000000",
          "2025-11-13T14:00:00.000000000",
          "2025-11-13T15:00:00.000000000",
          "2025-11-13T16:00:00.000000000",
          "2025-11-13T17:00:00.000000000",
          "2025-11-13T18:00:00.000000000",
          "2025-11-13T19:00:00.000000000",
          "2025-11-13T20:00:00.000000000",
          "2025-11-13T21:00:00.000000000",
          "2025-11-13T23:00:00.000000000",
          "2025-11-14T00:00:00.000000000",
          "2025-11-14T01:00:00.000000000",
          "2025-11-14T02:00:00.000000000",
          "2025-11-14T03:00:00.000000000",
          "2025-11-14T04:00:00.000000000",
          "2025-11-14T05:00:00.000000000",
          "2025-11-14T06:00:00.000000000",
          "2025-11-14T07:00:00.000000000",
          "2025-11-14T08:00:00.000000000",
          "2025-11-14T09:00:00.000000000",
          "2025-11-14T10:00:00.000000000",
          "2025-11-14T11:00:00.000000000",
          "2025-11-14T12:00:00.000000000",
          "2025-11-14T13:00:00.000000000",
          "2025-11-14T14:00:00.000000000",
          "2025-11-14T15:00:00.000000000",
          "2025-11-14T16:00:00.000000000",
          "2025-11-14T17:00:00.000000000",
          "2025-11-14T18:00:00.000000000",
          "2025-11-14T19:00:00.000000000",
          "2025-11-14T20:00:00.000000000",
          "2025-11-14T21:00:00.000000000",
          "2025-11-16T23:00:00.000000000",
          "2025-11-17T00:00:00.000000000",
          "2025-11-17T01:00:00.000000000",
          "2025-11-17T02:00:00.000000000",
          "2025-11-17T03:00:00.000000000",
          "2025-11-17T04:00:00.000000000",
          "2025-11-17T05:00:00.000000000",
          "2025-11-17T06:00:00.000000000",
          "2025-11-17T07:00:00.000000000",
          "2025-11-17T08:00:00.000000000",
          "2025-11-17T09:00:00.000000000",
          "2025-11-17T10:00:00.000000000",
          "2025-11-17T11:00:00.000000000",
          "2025-11-17T12:00:00.000000000",
          "2025-11-17T13:00:00.000000000",
          "2025-11-17T14:00:00.000000000",
          "2025-11-17T15:00:00.000000000",
          "2025-11-17T16:00:00.000000000",
          "2025-11-17T17:00:00.000000000",
          "2025-11-17T18:00:00.000000000",
          "2025-11-17T19:00:00.000000000",
          "2025-11-17T20:00:00.000000000",
          "2025-11-17T21:00:00.000000000",
          "2025-11-17T23:00:00.000000000",
          "2025-11-18T00:00:00.000000000",
          "2025-11-18T01:00:00.000000000",
          "2025-11-18T02:00:00.000000000",
          "2025-11-18T03:00:00.000000000",
          "2025-11-18T04:00:00.000000000",
          "2025-11-18T05:00:00.000000000",
          "2025-11-18T06:00:00.000000000",
          "2025-11-18T07:00:00.000000000",
          "2025-11-18T08:00:00.000000000",
          "2025-11-18T09:00:00.000000000",
          "2025-11-18T10:00:00.000000000",
          "2025-11-18T11:00:00.000000000",
          "2025-11-18T12:00:00.000000000",
          "2025-11-18T13:00:00.000000000",
          "2025-11-18T14:00:00.000000000",
          "2025-11-18T15:00:00.000000000",
          "2025-11-18T16:00:00.000000000",
          "2025-11-18T17:00:00.000000000",
          "2025-11-18T18:00:00.000000000",
          "2025-11-18T19:00:00.000000000",
          "2025-11-18T20:00:00.000000000",
          "2025-11-18T21:00:00.000000000",
          "2025-11-18T23:00:00.000000000",
          "2025-11-19T00:00:00.000000000",
          "2025-11-19T01:00:00.000000000",
          "2025-11-19T02:00:00.000000000",
          "2025-11-19T03:00:00.000000000",
          "2025-11-19T04:00:00.000000000",
          "2025-11-19T05:00:00.000000000",
          "2025-11-19T06:00:00.000000000",
          "2025-11-19T07:00:00.000000000",
          "2025-11-19T08:00:00.000000000",
          "2025-11-19T09:00:00.000000000",
          "2025-11-19T10:00:00.000000000",
          "2025-11-19T11:00:00.000000000",
          "2025-11-19T12:00:00.000000000",
          "2025-11-19T13:00:00.000000000",
          "2025-11-19T14:00:00.000000000",
          "2025-11-19T15:00:00.000000000",
          "2025-11-19T16:00:00.000000000",
          "2025-11-19T17:00:00.000000000",
          "2025-11-19T18:00:00.000000000",
          "2025-11-19T19:00:00.000000000",
          "2025-11-19T20:00:00.000000000",
          "2025-11-19T21:00:00.000000000",
          "2025-11-19T23:00:00.000000000",
          "2025-11-20T00:00:00.000000000",
          "2025-11-20T01:00:00.000000000",
          "2025-11-20T02:00:00.000000000",
          "2025-11-20T03:00:00.000000000",
          "2025-11-20T04:00:00.000000000",
          "2025-11-20T05:00:00.000000000",
          "2025-11-20T06:00:00.000000000",
          "2025-11-20T07:00:00.000000000",
          "2025-11-20T08:00:00.000000000",
          "2025-11-20T09:00:00.000000000",
          "2025-11-20T10:00:00.000000000",
          "2025-11-20T11:00:00.000000000",
          "2025-11-20T12:00:00.000000000",
          "2025-11-20T13:00:00.000000000",
          "2025-11-20T14:00:00.000000000",
          "2025-11-20T15:00:00.000000000",
          "2025-11-20T16:00:00.000000000",
          "2025-11-20T17:00:00.000000000",
          "2025-11-20T18:00:00.000000000",
          "2025-11-20T19:00:00.000000000",
          "2025-11-20T20:00:00.000000000",
          "2025-11-20T21:00:00.000000000",
          "2025-11-20T23:00:00.000000000",
          "2025-11-21T00:00:00.000000000",
          "2025-11-21T01:00:00.000000000",
          "2025-11-21T02:00:00.000000000",
          "2025-11-21T03:00:00.000000000",
          "2025-11-21T04:00:00.000000000",
          "2025-11-21T05:00:00.000000000",
          "2025-11-21T06:00:00.000000000",
          "2025-11-21T07:00:00.000000000",
          "2025-11-21T08:00:00.000000000",
          "2025-11-21T09:00:00.000000000",
          "2025-11-21T10:00:00.000000000",
          "2025-11-21T11:00:00.000000000",
          "2025-11-21T12:00:00.000000000",
          "2025-11-21T13:00:00.000000000",
          "2025-11-21T14:00:00.000000000",
          "2025-11-21T15:00:00.000000000",
          "2025-11-21T16:00:00.000000000",
          "2025-11-21T17:00:00.000000000",
          "2025-11-21T18:00:00.000000000",
          "2025-11-21T19:00:00.000000000",
          "2025-11-21T20:00:00.000000000",
          "2025-11-21T21:00:00.000000000",
          "2025-11-23T23:00:00.000000000",
          "2025-11-24T00:00:00.000000000",
          "2025-11-24T01:00:00.000000000",
          "2025-11-24T02:00:00.000000000",
          "2025-11-24T03:00:00.000000000",
          "2025-11-24T04:00:00.000000000",
          "2025-11-24T05:00:00.000000000",
          "2025-11-24T06:00:00.000000000",
          "2025-11-24T07:00:00.000000000",
          "2025-11-24T08:00:00.000000000",
          "2025-11-24T09:00:00.000000000",
          "2025-11-24T10:00:00.000000000",
          "2025-11-24T11:00:00.000000000",
          "2025-11-24T12:00:00.000000000",
          "2025-11-24T13:00:00.000000000",
          "2025-11-24T14:00:00.000000000",
          "2025-11-24T15:00:00.000000000",
          "2025-11-24T16:00:00.000000000",
          "2025-11-24T17:00:00.000000000",
          "2025-11-24T18:00:00.000000000",
          "2025-11-24T19:00:00.000000000",
          "2025-11-24T20:00:00.000000000",
          "2025-11-24T21:00:00.000000000",
          "2025-11-24T23:00:00.000000000",
          "2025-11-25T00:00:00.000000000",
          "2025-11-25T01:00:00.000000000",
          "2025-11-25T02:00:00.000000000",
          "2025-11-25T03:00:00.000000000",
          "2025-11-25T04:00:00.000000000",
          "2025-11-25T05:00:00.000000000",
          "2025-11-25T06:00:00.000000000",
          "2025-11-25T07:00:00.000000000",
          "2025-11-25T08:00:00.000000000",
          "2025-11-25T09:00:00.000000000",
          "2025-11-25T10:00:00.000000000",
          "2025-11-25T11:00:00.000000000",
          "2025-11-25T12:00:00.000000000",
          "2025-11-25T13:00:00.000000000",
          "2025-11-25T14:00:00.000000000",
          "2025-11-25T15:00:00.000000000",
          "2025-11-25T16:00:00.000000000",
          "2025-11-25T17:00:00.000000000",
          "2025-11-25T18:00:00.000000000",
          "2025-11-25T19:00:00.000000000",
          "2025-11-25T20:00:00.000000000",
          "2025-11-25T21:00:00.000000000",
          "2025-11-25T23:00:00.000000000",
          "2025-11-26T00:00:00.000000000",
          "2025-11-26T01:00:00.000000000",
          "2025-11-26T02:00:00.000000000",
          "2025-11-26T03:00:00.000000000",
          "2025-11-26T04:00:00.000000000",
          "2025-11-26T05:00:00.000000000",
          "2025-11-26T06:00:00.000000000",
          "2025-11-26T07:00:00.000000000",
          "2025-11-26T08:00:00.000000000",
          "2025-11-26T09:00:00.000000000",
          "2025-11-26T10:00:00.000000000",
          "2025-11-26T11:00:00.000000000",
          "2025-11-26T12:00:00.000000000",
          "2025-11-26T13:00:00.000000000",
          "2025-11-26T14:00:00.000000000",
          "2025-11-26T15:00:00.000000000",
          "2025-11-26T16:00:00.000000000",
          "2025-11-26T17:00:00.000000000",
          "2025-11-26T18:00:00.000000000",
          "2025-11-26T19:00:00.000000000",
          "2025-11-26T20:00:00.000000000",
          "2025-11-26T21:00:00.000000000",
          "2025-11-26T23:00:00.000000000",
          "2025-11-27T00:00:00.000000000",
          "2025-11-27T01:00:00.000000000",
          "2025-11-27T02:00:00.000000000",
          "2025-11-27T03:00:00.000000000",
          "2025-11-27T04:00:00.000000000",
          "2025-11-27T05:00:00.000000000",
          "2025-11-27T06:00:00.000000000",
          "2025-11-27T07:00:00.000000000",
          "2025-11-27T08:00:00.000000000",
          "2025-11-27T09:00:00.000000000",
          "2025-11-27T10:00:00.000000000",
          "2025-11-27T11:00:00.000000000",
          "2025-11-27T12:00:00.000000000",
          "2025-11-27T13:00:00.000000000",
          "2025-11-27T14:00:00.000000000",
          "2025-11-27T15:00:00.000000000",
          "2025-11-27T16:00:00.000000000",
          "2025-11-27T17:00:00.000000000",
          "2025-11-27T18:00:00.000000000",
          "2025-11-27T19:00:00.000000000",
          "2025-11-27T23:00:00.000000000",
          "2025-11-28T00:00:00.000000000",
          "2025-11-28T01:00:00.000000000",
          "2025-11-28T02:00:00.000000000",
          "2025-11-28T03:00:00.000000000",
          "2025-11-28T04:00:00.000000000",
          "2025-11-28T05:00:00.000000000",
          "2025-11-28T06:00:00.000000000",
          "2025-11-28T07:00:00.000000000",
          "2025-11-28T08:00:00.000000000",
          "2025-11-28T09:00:00.000000000",
          "2025-11-28T10:00:00.000000000",
          "2025-11-28T11:00:00.000000000",
          "2025-11-28T12:00:00.000000000",
          "2025-11-28T13:00:00.000000000",
          "2025-11-28T14:00:00.000000000",
          "2025-11-28T15:00:00.000000000",
          "2025-11-28T16:00:00.000000000",
          "2025-11-28T17:00:00.000000000",
          "2025-11-28T18:00:00.000000000",
          "2025-11-28T19:00:00.000000000",
          "2025-11-30T23:00:00.000000000",
          "2025-12-01T00:00:00.000000000",
          "2025-12-01T01:00:00.000000000",
          "2025-12-01T02:00:00.000000000",
          "2025-12-01T03:00:00.000000000",
          "2025-12-01T04:00:00.000000000",
          "2025-12-01T05:00:00.000000000",
          "2025-12-01T06:00:00.000000000",
          "2025-12-01T07:00:00.000000000",
          "2025-12-01T08:00:00.000000000",
          "2025-12-01T09:00:00.000000000",
          "2025-12-01T10:00:00.000000000",
          "2025-12-01T11:00:00.000000000",
          "2025-12-01T12:00:00.000000000",
          "2025-12-01T13:00:00.000000000",
          "2025-12-01T14:00:00.000000000",
          "2025-12-01T15:00:00.000000000",
          "2025-12-01T16:00:00.000000000",
          "2025-12-01T17:00:00.000000000",
          "2025-12-01T18:00:00.000000000",
          "2025-12-01T19:00:00.000000000",
          "2025-12-01T20:00:00.000000000",
          "2025-12-01T21:00:00.000000000",
          "2025-12-01T23:00:00.000000000",
          "2025-12-02T00:00:00.000000000",
          "2025-12-02T01:00:00.000000000",
          "2025-12-02T02:00:00.000000000",
          "2025-12-02T03:00:00.000000000",
          "2025-12-02T04:00:00.000000000",
          "2025-12-02T05:00:00.000000000"
         ]
        }
       ],
       "layout": {
        "height": 900,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#f2f5fa"
            },
            "error_y": {
             "color": "#f2f5fa"
            },
            "marker": {
             "line": {
              "color": "rgb(17,17,17)",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "rgb(17,17,17)",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#A2B1C6",
             "gridcolor": "#506784",
             "linecolor": "#506784",
             "minorgridcolor": "#506784",
             "startlinecolor": "#A2B1C6"
            },
            "baxis": {
             "endlinecolor": "#A2B1C6",
             "gridcolor": "#506784",
             "linecolor": "#506784",
             "minorgridcolor": "#506784",
             "startlinecolor": "#A2B1C6"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "line": {
              "color": "#283442"
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "line": {
              "color": "#283442"
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermap": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermap"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#506784"
             },
             "line": {
              "color": "rgb(17,17,17)"
             }
            },
            "header": {
             "fill": {
              "color": "#2a3f5f"
             },
             "line": {
              "color": "rgb(17,17,17)"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#f2f5fa",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#f2f5fa"
          },
          "geo": {
           "bgcolor": "rgb(17,17,17)",
           "lakecolor": "rgb(17,17,17)",
           "landcolor": "rgb(17,17,17)",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "#506784"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "dark"
          },
          "paper_bgcolor": "rgb(17,17,17)",
          "plot_bgcolor": "rgb(17,17,17)",
          "polar": {
           "angularaxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           },
           "bgcolor": "rgb(17,17,17)",
           "radialaxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "rgb(17,17,17)",
            "gridcolor": "#506784",
            "gridwidth": 2,
            "linecolor": "#506784",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#C8D4E3"
           },
           "yaxis": {
            "backgroundcolor": "rgb(17,17,17)",
            "gridcolor": "#506784",
            "gridwidth": 2,
            "linecolor": "#506784",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#C8D4E3"
           },
           "zaxis": {
            "backgroundcolor": "rgb(17,17,17)",
            "gridcolor": "#506784",
            "gridwidth": 2,
            "linecolor": "#506784",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#C8D4E3"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#f2f5fa"
           }
          },
          "sliderdefaults": {
           "bgcolor": "#C8D4E3",
           "bordercolor": "rgb(17,17,17)",
           "borderwidth": 1,
           "tickwidth": 0
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           },
           "bgcolor": "rgb(17,17,17)",
           "caxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "updatemenudefaults": {
           "bgcolor": "#506784",
           "borderwidth": 0
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#283442",
           "linecolor": "#506784",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#283442",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "#283442",
           "linecolor": "#506784",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#283442",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "XAUUSDc Candlestick Chart (H1)"
        },
        "width": 1600,
        "xaxis": {
         "rangeslider": {
          "visible": false
         },
         "title": {
          "text": "Time"
         }
        },
        "yaxis": {
         "title": {
          "text": "Price"
         }
        }
       }
      },
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import MetaTrader5 as mt5\n",
    "import pandas as pd\n",
    "import plotly.graph_objects as go\n",
    "from datetime import datetime\n",
    "\n",
    "# -------------------------------\n",
    "# 1. Initialize MT5\n",
    "# -------------------------------\n",
    "if not mt5.initialize():\n",
    "    print(\"MT5 initialization failed\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "else:\n",
    "    print(\"MT5 initialized\")\n",
    "\n",
    "# -------------------------------\n",
    "# 2. Fetch historical data\n",
    "# -------------------------------\n",
    "symbol = \"XAUUSDc\"\n",
    "timeframe = mt5.TIMEFRAME_H1  # 1-hour candles\n",
    "n_bars = 500\n",
    "\n",
    "rates = mt5.copy_rates_from_pos(symbol, timeframe, 0, n_bars)\n",
    "if rates is None:\n",
    "    print(\"Failed to get data\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "\n",
    "# -------------------------------\n",
    "# 3. Convert to DataFrame\n",
    "# -------------------------------\n",
    "df = pd.DataFrame(rates)\n",
    "df['time'] = pd.to_datetime(df['time'], unit='s')\n",
    "\n",
    "# -------------------------------\n",
    "# 4. Plot candlestick chart\n",
    "# -------------------------------\n",
    "fig = go.Figure(\n",
    "    data=[\n",
    "        go.Candlestick(\n",
    "            x=df['time'],\n",
    "            open=df['open'],\n",
    "            high=df['high'],\n",
    "            low=df['low'],\n",
    "            close=df['close'],\n",
    "            increasing_line_color='green',\n",
    "            decreasing_line_color='red'\n",
    "        )\n",
    "    ]\n",
    ")\n",
    "\n",
    "fig.update_layout(\n",
    "    title=f'{symbol} Candlestick Chart (H1)',\n",
    "    xaxis_title='Time',\n",
    "    yaxis_title='Price',\n",
    "    xaxis_rangeslider_visible=False,\n",
    "    template='plotly_dark',\n",
    "    width=1600,  # increased width\n",
    "    height=900   # increased height\n",
    ")\n",
    "\n",
    "fig.show()\n",
    "\n",
    "# -------------------------------\n",
    "# 5. Shutdown MT5\n",
    "# -------------------------------\n",
    "mt5.shutdown()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f5fa0f86-56ef-4e1b-ab74-3fe6e72e3c1d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MT5 initialized\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "close": {
          "bdata": "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",
          "dtype": "f8"
         },
         "high": {
          "bdata": "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",
          "dtype": "f8"
         },
         "low": {
          "bdata": "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",
          "dtype": "f8"
         },
         "name": "Candles",
         "open": {
          "bdata": "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",
          "dtype": "f8"
         },
         "type": "candlestick",
         "x": [
          "2025-10-31T08:00:00.000000000",
          "2025-10-31T09:00:00.000000000",
          "2025-10-31T10:00:00.000000000",
          "2025-10-31T11:00:00.000000000",
          "2025-10-31T12:00:00.000000000",
          "2025-10-31T13:00:00.000000000",
          "2025-10-31T14:00:00.000000000",
          "2025-10-31T15:00:00.000000000",
          "2025-10-31T16:00:00.000000000",
          "2025-10-31T17:00:00.000000000",
          "2025-10-31T18:00:00.000000000",
          "2025-10-31T19:00:00.000000000",
          "2025-10-31T20:00:00.000000000",
          "2025-11-02T23:00:00.000000000",
          "2025-11-03T00:00:00.000000000",
          "2025-11-03T01:00:00.000000000",
          "2025-11-03T02:00:00.000000000",
          "2025-11-03T03:00:00.000000000",
          "2025-11-03T04:00:00.000000000",
          "2025-11-03T05:00:00.000000000",
          "2025-11-03T06:00:00.000000000",
          "2025-11-03T07:00:00.000000000",
          "2025-11-03T08:00:00.000000000",
          "2025-11-03T09:00:00.000000000",
          "2025-11-03T10:00:00.000000000",
          "2025-11-03T11:00:00.000000000",
          "2025-11-03T12:00:00.000000000",
          "2025-11-03T13:00:00.000000000",
          "2025-11-03T14:00:00.000000000",
          "2025-11-03T15:00:00.000000000",
          "2025-11-03T16:00:00.000000000",
          "2025-11-03T17:00:00.000000000",
          "2025-11-03T18:00:00.000000000",
          "2025-11-03T19:00:00.000000000",
          "2025-11-03T20:00:00.000000000",
          "2025-11-03T21:00:00.000000000",
          "2025-11-03T23:00:00.000000000",
          "2025-11-04T00:00:00.000000000",
          "2025-11-04T01:00:00.000000000",
          "2025-11-04T02:00:00.000000000",
          "2025-11-04T03:00:00.000000000",
          "2025-11-04T04:00:00.000000000",
          "2025-11-04T05:00:00.000000000",
          "2025-11-04T06:00:00.000000000",
          "2025-11-04T07:00:00.000000000",
          "2025-11-04T08:00:00.000000000",
          "2025-11-04T09:00:00.000000000",
          "2025-11-04T10:00:00.000000000",
          "2025-11-04T11:00:00.000000000",
          "2025-11-04T12:00:00.000000000",
          "2025-11-04T13:00:00.000000000",
          "2025-11-04T14:00:00.000000000",
          "2025-11-04T15:00:00.000000000",
          "2025-11-04T16:00:00.000000000",
          "2025-11-04T17:00:00.000000000",
          "2025-11-04T18:00:00.000000000",
          "2025-11-04T19:00:00.000000000",
          "2025-11-04T20:00:00.000000000",
          "2025-11-04T21:00:00.000000000",
          "2025-11-04T23:00:00.000000000",
          "2025-11-05T00:00:00.000000000",
          "2025-11-05T01:00:00.000000000",
          "2025-11-05T02:00:00.000000000",
          "2025-11-05T03:00:00.000000000",
          "2025-11-05T04:00:00.000000000",
          "2025-11-05T05:00:00.000000000",
          "2025-11-05T06:00:00.000000000",
          "2025-11-05T07:00:00.000000000",
          "2025-11-05T08:00:00.000000000",
          "2025-11-05T09:00:00.000000000",
          "2025-11-05T10:00:00.000000000",
          "2025-11-05T11:00:00.000000000",
          "2025-11-05T12:00:00.000000000",
          "2025-11-05T13:00:00.000000000",
          "2025-11-05T14:00:00.000000000",
          "2025-11-05T15:00:00.000000000",
          "2025-11-05T16:00:00.000000000",
          "2025-11-05T17:00:00.000000000",
          "2025-11-05T18:00:00.000000000",
          "2025-11-05T19:00:00.000000000",
          "2025-11-05T20:00:00.000000000",
          "2025-11-05T21:00:00.000000000",
          "2025-11-05T23:00:00.000000000",
          "2025-11-06T00:00:00.000000000",
          "2025-11-06T01:00:00.000000000",
          "2025-11-06T02:00:00.000000000",
          "2025-11-06T03:00:00.000000000",
          "2025-11-06T04:00:00.000000000",
          "2025-11-06T05:00:00.000000000",
          "2025-11-06T06:00:00.000000000",
          "2025-11-06T07:00:00.000000000",
          "2025-11-06T08:00:00.000000000",
          "2025-11-06T09:00:00.000000000",
          "2025-11-06T10:00:00.000000000",
          "2025-11-06T11:00:00.000000000",
          "2025-11-06T12:00:00.000000000",
          "2025-11-06T13:00:00.000000000",
          "2025-11-06T14:00:00.000000000",
          "2025-11-06T15:00:00.000000000",
          "2025-11-06T16:00:00.000000000",
          "2025-11-06T17:00:00.000000000",
          "2025-11-06T18:00:00.000000000",
          "2025-11-06T19:00:00.000000000",
          "2025-11-06T20:00:00.000000000",
          "2025-11-06T21:00:00.000000000",
          "2025-11-06T23:00:00.000000000",
          "2025-11-07T00:00:00.000000000",
          "2025-11-07T01:00:00.000000000",
          "2025-11-07T02:00:00.000000000",
          "2025-11-07T03:00:00.000000000",
          "2025-11-07T04:00:00.000000000",
          "2025-11-07T05:00:00.000000000",
          "2025-11-07T06:00:00.000000000",
          "2025-11-07T07:00:00.000000000",
          "2025-11-07T08:00:00.000000000",
          "2025-11-07T09:00:00.000000000",
          "2025-11-07T10:00:00.000000000",
          "2025-11-07T11:00:00.000000000",
          "2025-11-07T12:00:00.000000000",
          "2025-11-07T13:00:00.000000000",
          "2025-11-07T14:00:00.000000000",
          "2025-11-07T15:00:00.000000000",
          "2025-11-07T16:00:00.000000000",
          "2025-11-07T17:00:00.000000000",
          "2025-11-07T18:00:00.000000000",
          "2025-11-07T19:00:00.000000000",
          "2025-11-07T20:00:00.000000000",
          "2025-11-07T21:00:00.000000000",
          "2025-11-09T23:00:00.000000000",
          "2025-11-10T00:00:00.000000000",
          "2025-11-10T01:00:00.000000000",
          "2025-11-10T02:00:00.000000000",
          "2025-11-10T03:00:00.000000000",
          "2025-11-10T04:00:00.000000000",
          "2025-11-10T05:00:00.000000000",
          "2025-11-10T06:00:00.000000000",
          "2025-11-10T07:00:00.000000000",
          "2025-11-10T08:00:00.000000000",
          "2025-11-10T09:00:00.000000000",
          "2025-11-10T10:00:00.000000000",
          "2025-11-10T11:00:00.000000000",
          "2025-11-10T12:00:00.000000000",
          "2025-11-10T13:00:00.000000000",
          "2025-11-10T14:00:00.000000000",
          "2025-11-10T15:00:00.000000000",
          "2025-11-10T16:00:00.000000000",
          "2025-11-10T17:00:00.000000000",
          "2025-11-10T18:00:00.000000000",
          "2025-11-10T19:00:00.000000000",
          "2025-11-10T20:00:00.000000000",
          "2025-11-10T21:00:00.000000000",
          "2025-11-10T23:00:00.000000000",
          "2025-11-11T00:00:00.000000000",
          "2025-11-11T01:00:00.000000000",
          "2025-11-11T02:00:00.000000000",
          "2025-11-11T03:00:00.000000000",
          "2025-11-11T04:00:00.000000000",
          "2025-11-11T05:00:00.000000000",
          "2025-11-11T06:00:00.000000000",
          "2025-11-11T07:00:00.000000000",
          "2025-11-11T08:00:00.000000000",
          "2025-11-11T09:00:00.000000000",
          "2025-11-11T10:00:00.000000000",
          "2025-11-11T11:00:00.000000000",
          "2025-11-11T12:00:00.000000000",
          "2025-11-11T13:00:00.000000000",
          "2025-11-11T14:00:00.000000000",
          "2025-11-11T15:00:00.000000000",
          "2025-11-11T16:00:00.000000000",
          "2025-11-11T17:00:00.000000000",
          "2025-11-11T18:00:00.000000000",
          "2025-11-11T19:00:00.000000000",
          "2025-11-11T20:00:00.000000000",
          "2025-11-11T21:00:00.000000000",
          "2025-11-11T23:00:00.000000000",
          "2025-11-12T00:00:00.000000000",
          "2025-11-12T01:00:00.000000000",
          "2025-11-12T02:00:00.000000000",
          "2025-11-12T03:00:00.000000000",
          "2025-11-12T04:00:00.000000000",
          "2025-11-12T05:00:00.000000000",
          "2025-11-12T06:00:00.000000000",
          "2025-11-12T07:00:00.000000000",
          "2025-11-12T08:00:00.000000000",
          "2025-11-12T09:00:00.000000000",
          "2025-11-12T10:00:00.000000000",
          "2025-11-12T11:00:00.000000000",
          "2025-11-12T12:00:00.000000000",
          "2025-11-12T13:00:00.000000000",
          "2025-11-12T14:00:00.000000000",
          "2025-11-12T15:00:00.000000000",
          "2025-11-12T16:00:00.000000000",
          "2025-11-12T17:00:00.000000000",
          "2025-11-12T18:00:00.000000000",
          "2025-11-12T19:00:00.000000000",
          "2025-11-12T20:00:00.000000000",
          "2025-11-12T21:00:00.000000000",
          "2025-11-12T23:00:00.000000000",
          "2025-11-13T00:00:00.000000000",
          "2025-11-13T01:00:00.000000000",
          "2025-11-13T02:00:00.000000000",
          "2025-11-13T03:00:00.000000000",
          "2025-11-13T04:00:00.000000000",
          "2025-11-13T05:00:00.000000000",
          "2025-11-13T06:00:00.000000000",
          "2025-11-13T07:00:00.000000000",
          "2025-11-13T08:00:00.000000000",
          "2025-11-13T09:00:00.000000000",
          "2025-11-13T10:00:00.000000000",
          "2025-11-13T11:00:00.000000000",
          "2025-11-13T12:00:00.000000000",
          "2025-11-13T13:00:00.000000000",
          "2025-11-13T14:00:00.000000000",
          "2025-11-13T15:00:00.000000000",
          "2025-11-13T16:00:00.000000000",
          "2025-11-13T17:00:00.000000000",
          "2025-11-13T18:00:00.000000000",
          "2025-11-13T19:00:00.000000000",
          "2025-11-13T20:00:00.000000000",
          "2025-11-13T21:00:00.000000000",
          "2025-11-13T23:00:00.000000000",
          "2025-11-14T00:00:00.000000000",
          "2025-11-14T01:00:00.000000000",
          "2025-11-14T02:00:00.000000000",
          "2025-11-14T03:00:00.000000000",
          "2025-11-14T04:00:00.000000000",
          "2025-11-14T05:00:00.000000000",
          "2025-11-14T06:00:00.000000000",
          "2025-11-14T07:00:00.000000000",
          "2025-11-14T08:00:00.000000000",
          "2025-11-14T09:00:00.000000000",
          "2025-11-14T10:00:00.000000000",
          "2025-11-14T11:00:00.000000000",
          "2025-11-14T12:00:00.000000000",
          "2025-11-14T13:00:00.000000000",
          "2025-11-14T14:00:00.000000000",
          "2025-11-14T15:00:00.000000000",
          "2025-11-14T16:00:00.000000000",
          "2025-11-14T17:00:00.000000000",
          "2025-11-14T18:00:00.000000000",
          "2025-11-14T19:00:00.000000000",
          "2025-11-14T20:00:00.000000000",
          "2025-11-14T21:00:00.000000000",
          "2025-11-16T23:00:00.000000000",
          "2025-11-17T00:00:00.000000000",
          "2025-11-17T01:00:00.000000000",
          "2025-11-17T02:00:00.000000000",
          "2025-11-17T03:00:00.000000000",
          "2025-11-17T04:00:00.000000000",
          "2025-11-17T05:00:00.000000000",
          "2025-11-17T06:00:00.000000000",
          "2025-11-17T07:00:00.000000000",
          "2025-11-17T08:00:00.000000000",
          "2025-11-17T09:00:00.000000000",
          "2025-11-17T10:00:00.000000000",
          "2025-11-17T11:00:00.000000000",
          "2025-11-17T12:00:00.000000000",
          "2025-11-17T13:00:00.000000000",
          "2025-11-17T14:00:00.000000000",
          "2025-11-17T15:00:00.000000000",
          "2025-11-17T16:00:00.000000000",
          "2025-11-17T17:00:00.000000000",
          "2025-11-17T18:00:00.000000000",
          "2025-11-17T19:00:00.000000000",
          "2025-11-17T20:00:00.000000000",
          "2025-11-17T21:00:00.000000000",
          "2025-11-17T23:00:00.000000000",
          "2025-11-18T00:00:00.000000000",
          "2025-11-18T01:00:00.000000000",
          "2025-11-18T02:00:00.000000000",
          "2025-11-18T03:00:00.000000000",
          "2025-11-18T04:00:00.000000000",
          "2025-11-18T05:00:00.000000000",
          "2025-11-18T06:00:00.000000000",
          "2025-11-18T07:00:00.000000000",
          "2025-11-18T08:00:00.000000000",
          "2025-11-18T09:00:00.000000000",
          "2025-11-18T10:00:00.000000000",
          "2025-11-18T11:00:00.000000000",
          "2025-11-18T12:00:00.000000000",
          "2025-11-18T13:00:00.000000000",
          "2025-11-18T14:00:00.000000000",
          "2025-11-18T15:00:00.000000000",
          "2025-11-18T16:00:00.000000000",
          "2025-11-18T17:00:00.000000000",
          "2025-11-18T18:00:00.000000000",
          "2025-11-18T19:00:00.000000000",
          "2025-11-18T20:00:00.000000000",
          "2025-11-18T21:00:00.000000000",
          "2025-11-18T23:00:00.000000000",
          "2025-11-19T00:00:00.000000000",
          "2025-11-19T01:00:00.000000000",
          "2025-11-19T02:00:00.000000000",
          "2025-11-19T03:00:00.000000000",
          "2025-11-19T04:00:00.000000000",
          "2025-11-19T05:00:00.000000000",
          "2025-11-19T06:00:00.000000000",
          "2025-11-19T07:00:00.000000000",
          "2025-11-19T08:00:00.000000000",
          "2025-11-19T09:00:00.000000000",
          "2025-11-19T10:00:00.000000000",
          "2025-11-19T11:00:00.000000000",
          "2025-11-19T12:00:00.000000000",
          "2025-11-19T13:00:00.000000000",
          "2025-11-19T14:00:00.000000000",
          "2025-11-19T15:00:00.000000000",
          "2025-11-19T16:00:00.000000000",
          "2025-11-19T17:00:00.000000000",
          "2025-11-19T18:00:00.000000000",
          "2025-11-19T19:00:00.000000000",
          "2025-11-19T20:00:00.000000000",
          "2025-11-19T21:00:00.000000000",
          "2025-11-19T23:00:00.000000000",
          "2025-11-20T00:00:00.000000000",
          "2025-11-20T01:00:00.000000000",
          "2025-11-20T02:00:00.000000000",
          "2025-11-20T03:00:00.000000000",
          "2025-11-20T04:00:00.000000000",
          "2025-11-20T05:00:00.000000000",
          "2025-11-20T06:00:00.000000000",
          "2025-11-20T07:00:00.000000000",
          "2025-11-20T08:00:00.000000000",
          "2025-11-20T09:00:00.000000000",
          "2025-11-20T10:00:00.000000000",
          "2025-11-20T11:00:00.000000000",
          "2025-11-20T12:00:00.000000000",
          "2025-11-20T13:00:00.000000000",
          "2025-11-20T14:00:00.000000000",
          "2025-11-20T15:00:00.000000000",
          "2025-11-20T16:00:00.000000000",
          "2025-11-20T17:00:00.000000000",
          "2025-11-20T18:00:00.000000000",
          "2025-11-20T19:00:00.000000000",
          "2025-11-20T20:00:00.000000000",
          "2025-11-20T21:00:00.000000000",
          "2025-11-20T23:00:00.000000000",
          "2025-11-21T00:00:00.000000000",
          "2025-11-21T01:00:00.000000000",
          "2025-11-21T02:00:00.000000000",
          "2025-11-21T03:00:00.000000000",
          "2025-11-21T04:00:00.000000000",
          "2025-11-21T05:00:00.000000000",
          "2025-11-21T06:00:00.000000000",
          "2025-11-21T07:00:00.000000000",
          "2025-11-21T08:00:00.000000000",
          "2025-11-21T09:00:00.000000000",
          "2025-11-21T10:00:00.000000000",
          "2025-11-21T11:00:00.000000000",
          "2025-11-21T12:00:00.000000000",
          "2025-11-21T13:00:00.000000000",
          "2025-11-21T14:00:00.000000000",
          "2025-11-21T15:00:00.000000000",
          "2025-11-21T16:00:00.000000000",
          "2025-11-21T17:00:00.000000000",
          "2025-11-21T18:00:00.000000000",
          "2025-11-21T19:00:00.000000000",
          "2025-11-21T20:00:00.000000000",
          "2025-11-21T21:00:00.000000000",
          "2025-11-23T23:00:00.000000000",
          "2025-11-24T00:00:00.000000000",
          "2025-11-24T01:00:00.000000000",
          "2025-11-24T02:00:00.000000000",
          "2025-11-24T03:00:00.000000000",
          "2025-11-24T04:00:00.000000000",
          "2025-11-24T05:00:00.000000000",
          "2025-11-24T06:00:00.000000000",
          "2025-11-24T07:00:00.000000000",
          "2025-11-24T08:00:00.000000000",
          "2025-11-24T09:00:00.000000000",
          "2025-11-24T10:00:00.000000000",
          "2025-11-24T11:00:00.000000000",
          "2025-11-24T12:00:00.000000000",
          "2025-11-24T13:00:00.000000000",
          "2025-11-24T14:00:00.000000000",
          "2025-11-24T15:00:00.000000000",
          "2025-11-24T16:00:00.000000000",
          "2025-11-24T17:00:00.000000000",
          "2025-11-24T18:00:00.000000000",
          "2025-11-24T19:00:00.000000000",
          "2025-11-24T20:00:00.000000000",
          "2025-11-24T21:00:00.000000000",
          "2025-11-24T23:00:00.000000000",
          "2025-11-25T00:00:00.000000000",
          "2025-11-25T01:00:00.000000000",
          "2025-11-25T02:00:00.000000000",
          "2025-11-25T03:00:00.000000000",
          "2025-11-25T04:00:00.000000000",
          "2025-11-25T05:00:00.000000000",
          "2025-11-25T06:00:00.000000000",
          "2025-11-25T07:00:00.000000000",
          "2025-11-25T08:00:00.000000000",
          "2025-11-25T09:00:00.000000000",
          "2025-11-25T10:00:00.000000000",
          "2025-11-25T11:00:00.000000000",
          "2025-11-25T12:00:00.000000000",
          "2025-11-25T13:00:00.000000000",
          "2025-11-25T14:00:00.000000000",
          "2025-11-25T15:00:00.000000000",
          "2025-11-25T16:00:00.000000000",
          "2025-11-25T17:00:00.000000000",
          "2025-11-25T18:00:00.000000000",
          "2025-11-25T19:00:00.000000000",
          "2025-11-25T20:00:00.000000000",
          "2025-11-25T21:00:00.000000000",
          "2025-11-25T23:00:00.000000000",
          "2025-11-26T00:00:00.000000000",
          "2025-11-26T01:00:00.000000000",
          "2025-11-26T02:00:00.000000000",
          "2025-11-26T03:00:00.000000000",
          "2025-11-26T04:00:00.000000000",
          "2025-11-26T05:00:00.000000000",
          "2025-11-26T06:00:00.000000000",
          "2025-11-26T07:00:00.000000000",
          "2025-11-26T08:00:00.000000000",
          "2025-11-26T09:00:00.000000000",
          "2025-11-26T10:00:00.000000000",
          "2025-11-26T11:00:00.000000000",
          "2025-11-26T12:00:00.000000000",
          "2025-11-26T13:00:00.000000000",
          "2025-11-26T14:00:00.000000000",
          "2025-11-26T15:00:00.000000000",
          "2025-11-26T16:00:00.000000000",
          "2025-11-26T17:00:00.000000000",
          "2025-11-26T18:00:00.000000000",
          "2025-11-26T19:00:00.000000000",
          "2025-11-26T20:00:00.000000000",
          "2025-11-26T21:00:00.000000000",
          "2025-11-26T23:00:00.000000000",
          "2025-11-27T00:00:00.000000000",
          "2025-11-27T01:00:00.000000000",
          "2025-11-27T02:00:00.000000000",
          "2025-11-27T03:00:00.000000000",
          "2025-11-27T04:00:00.000000000",
          "2025-11-27T05:00:00.000000000",
          "2025-11-27T06:00:00.000000000",
          "2025-11-27T07:00:00.000000000",
          "2025-11-27T08:00:00.000000000",
          "2025-11-27T09:00:00.000000000",
          "2025-11-27T10:00:00.000000000",
          "2025-11-27T11:00:00.000000000",
          "2025-11-27T12:00:00.000000000",
          "2025-11-27T13:00:00.000000000",
          "2025-11-27T14:00:00.000000000",
          "2025-11-27T15:00:00.000000000",
          "2025-11-27T16:00:00.000000000",
          "2025-11-27T17:00:00.000000000",
          "2025-11-27T18:00:00.000000000",
          "2025-11-27T19:00:00.000000000",
          "2025-11-27T23:00:00.000000000",
          "2025-11-28T00:00:00.000000000",
          "2025-11-28T01:00:00.000000000",
          "2025-11-28T02:00:00.000000000",
          "2025-11-28T03:00:00.000000000",
          "2025-11-28T04:00:00.000000000",
          "2025-11-28T05:00:00.000000000",
          "2025-11-28T06:00:00.000000000",
          "2025-11-28T07:00:00.000000000",
          "2025-11-28T08:00:00.000000000",
          "2025-11-28T09:00:00.000000000",
          "2025-11-28T10:00:00.000000000",
          "2025-11-28T11:00:00.000000000",
          "2025-11-28T12:00:00.000000000",
          "2025-11-28T13:00:00.000000000",
          "2025-11-28T14:00:00.000000000",
          "2025-11-28T15:00:00.000000000",
          "2025-11-28T16:00:00.000000000",
          "2025-11-28T17:00:00.000000000",
          "2025-11-28T18:00:00.000000000",
          "2025-11-28T19:00:00.000000000",
          "2025-11-30T23:00:00.000000000",
          "2025-12-01T00:00:00.000000000",
          "2025-12-01T01:00:00.000000000",
          "2025-12-01T02:00:00.000000000",
          "2025-12-01T03:00:00.000000000",
          "2025-12-01T04:00:00.000000000",
          "2025-12-01T05:00:00.000000000",
          "2025-12-01T06:00:00.000000000",
          "2025-12-01T07:00:00.000000000",
          "2025-12-01T08:00:00.000000000",
          "2025-12-01T09:00:00.000000000",
          "2025-12-01T10:00:00.000000000",
          "2025-12-01T11:00:00.000000000",
          "2025-12-01T12:00:00.000000000",
          "2025-12-01T13:00:00.000000000",
          "2025-12-01T14:00:00.000000000",
          "2025-12-01T15:00:00.000000000",
          "2025-12-01T16:00:00.000000000",
          "2025-12-01T17:00:00.000000000",
          "2025-12-01T18:00:00.000000000",
          "2025-12-01T19:00:00.000000000",
          "2025-12-01T20:00:00.000000000",
          "2025-12-01T21:00:00.000000000",
          "2025-12-01T23:00:00.000000000",
          "2025-12-02T00:00:00.000000000",
          "2025-12-02T01:00:00.000000000",
          "2025-12-02T02:00:00.000000000",
          "2025-12-02T03:00:00.000000000",
          "2025-12-02T04:00:00.000000000",
          "2025-12-02T05:00:00.000000000",
          "2025-12-02T06:00:00.000000000"
         ]
        },
        {
         "marker": {
          "color": "gold"
         },
         "name": "Market Profile",
         "opacity": 0.5,
         "orientation": "h",
         "type": "bar",
         "x": {
          "bdata": "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",
          "dtype": "i4"
         },
         "xaxis": "x2",
         "y": {
          "bdata": "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",
          "dtype": "f8"
         }
        }
       ],
       "layout": {
        "height": 700,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#f2f5fa"
            },
            "error_y": {
             "color": "#f2f5fa"
            },
            "marker": {
             "line": {
              "color": "rgb(17,17,17)",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "rgb(17,17,17)",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#A2B1C6",
             "gridcolor": "#506784",
             "linecolor": "#506784",
             "minorgridcolor": "#506784",
             "startlinecolor": "#A2B1C6"
            },
            "baxis": {
             "endlinecolor": "#A2B1C6",
             "gridcolor": "#506784",
             "linecolor": "#506784",
             "minorgridcolor": "#506784",
             "startlinecolor": "#A2B1C6"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "line": {
              "color": "#283442"
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "line": {
              "color": "#283442"
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermap": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermap"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#506784"
             },
             "line": {
              "color": "rgb(17,17,17)"
             }
            },
            "header": {
             "fill": {
              "color": "#2a3f5f"
             },
             "line": {
              "color": "rgb(17,17,17)"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#f2f5fa",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#f2f5fa"
          },
          "geo": {
           "bgcolor": "rgb(17,17,17)",
           "lakecolor": "rgb(17,17,17)",
           "landcolor": "rgb(17,17,17)",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "#506784"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "dark"
          },
          "paper_bgcolor": "rgb(17,17,17)",
          "plot_bgcolor": "rgb(17,17,17)",
          "polar": {
           "angularaxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           },
           "bgcolor": "rgb(17,17,17)",
           "radialaxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "rgb(17,17,17)",
            "gridcolor": "#506784",
            "gridwidth": 2,
            "linecolor": "#506784",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#C8D4E3"
           },
           "yaxis": {
            "backgroundcolor": "rgb(17,17,17)",
            "gridcolor": "#506784",
            "gridwidth": 2,
            "linecolor": "#506784",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#C8D4E3"
           },
           "zaxis": {
            "backgroundcolor": "rgb(17,17,17)",
            "gridcolor": "#506784",
            "gridwidth": 2,
            "linecolor": "#506784",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#C8D4E3"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#f2f5fa"
           }
          },
          "sliderdefaults": {
           "bgcolor": "#C8D4E3",
           "bordercolor": "rgb(17,17,17)",
           "borderwidth": 1,
           "tickwidth": 0
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           },
           "bgcolor": "rgb(17,17,17)",
           "caxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "updatemenudefaults": {
           "bgcolor": "#506784",
           "borderwidth": 0
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#283442",
           "linecolor": "#506784",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#283442",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "#283442",
           "linecolor": "#506784",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#283442",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "XAUUSDc Candles + Market Profile (Last 500 H1 candles)"
        },
        "width": 1000,
        "xaxis": {
         "domain": [
          0,
          0.7
         ],
         "title": {
          "text": "Time"
         }
        },
        "xaxis2": {
         "anchor": "y",
         "domain": [
          0.7,
          1
         ],
         "side": "top",
         "title": {
          "text": "Volume"
         }
        },
        "yaxis": {
         "autorange": "reversed",
         "title": {
          "text": "Price"
         }
        }
       }
      },
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import MetaTrader5 as mt5\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "# -------------------------------\n",
    "# 1. Initialize MT5\n",
    "# -------------------------------\n",
    "if not mt5.initialize():\n",
    "    print(\"MT5 initialization failed\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "else:\n",
    "    print(\"MT5 initialized\")\n",
    "\n",
    "# -------------------------------\n",
    "# 2. Fetch last N candles\n",
    "# -------------------------------\n",
    "symbol = \"XAUUSDc\"\n",
    "timeframe = mt5.TIMEFRAME_H1\n",
    "num_bars = 500  # number of candles\n",
    "\n",
    "rates = mt5.copy_rates_from_pos(symbol, timeframe, 0, num_bars)\n",
    "if rates is None or len(rates) == 0:\n",
    "    print(\"No data fetched\")\n",
    "    mt5.shutdown()\n",
    "    exit()\n",
    "\n",
    "# Convert to DataFrame\n",
    "df = pd.DataFrame(rates)\n",
    "df['time'] = pd.to_datetime(df['time'], unit='s')\n",
    "df = df[['time', 'open', 'high', 'low', 'close', 'tick_volume']]\n",
    "\n",
    "# -------------------------------\n",
    "# 3. Build Market Profile\n",
    "# -------------------------------\n",
    "bin_size = 0.25\n",
    "price_min = df['low'].min()\n",
    "price_max = df['high'].max()\n",
    "bins = np.arange(price_min, price_max + bin_size, bin_size)\n",
    "\n",
    "# Allocate tick volume to bins\n",
    "mp_dict = {}\n",
    "for _, row in df.iterrows():\n",
    "    candle_bins = bins[(bins >= row['low']) & (bins <= row['high'])]\n",
    "    for b in candle_bins:\n",
    "        mp_dict[b] = mp_dict.get(b, 0) + row['tick_volume']\n",
    "\n",
    "mp_df = pd.DataFrame(list(mp_dict.items()), columns=['price', 'volume'])\n",
    "mp_df.sort_values('price', inplace=True)\n",
    "\n",
    "# -------------------------------\n",
    "# 4. Plot Candles + Market Profile\n",
    "# -------------------------------\n",
    "fig = go.Figure()\n",
    "\n",
    "# Candlestick chart\n",
    "fig.add_trace(go.Candlestick(\n",
    "    x=df['time'],\n",
    "    open=df['open'],\n",
    "    high=df['high'],\n",
    "    low=df['low'],\n",
    "    close=df['close'],\n",
    "    name='Candles'\n",
    "))\n",
    "\n",
    "# Market Profile as horizontal bars\n",
    "fig.add_trace(go.Bar(\n",
    "    x=mp_df['volume'],\n",
    "    y=mp_df['price'],\n",
    "    orientation='h',\n",
    "    marker_color='gold',\n",
    "    name='Market Profile',\n",
    "    opacity=0.5,\n",
    "    xaxis='x2'\n",
    "))\n",
    "\n",
    "# Layout with secondary x-axis for volume\n",
    "fig.update_layout(\n",
    "    title=f'{symbol} Candles + Market Profile (Last {num_bars} H1 candles)',\n",
    "    yaxis=dict(title='Price', autorange='reversed'),\n",
    "    xaxis=dict(domain=[0, 0.7], title='Time'),\n",
    "    xaxis2=dict(domain=[0.7, 1.0], title='Volume', anchor='y', side='top'),\n",
    "    template='plotly_dark',\n",
    "    width=1000,\n",
    "    height=700\n",
    ")\n",
    "\n",
    "fig.show()\n",
    "\n",
    "# -------------------------------\n",
    "# 5. Shutdown MT5\n",
    "# -------------------------------\n",
    "mt5.shutdown()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96ecce1b-d2e1-4771-89d9-9e95e02244c0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}