console/hello-ape.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b407728b",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "works after:\n",
    " 1. pipx runpip eth-ape install notebook matplotlib\n",
    " 2. ape console\n",
    " 3. In [1]: from notebook import notebookapp as app\n",
    "    In [2]: app.launch_new_instance()\n",
    "\n",
    "NOTE: for some reason `ape-notebook` plugin not displaying in cli when run `ape -h`, so needed to\n",
    "      pipx runpip install notebook into my ape package env. Then run `ape-notebook` one line src from\n",
    "      `ape console`.\n",
    "\n",
    "TODO: figure out why ape-notebook plugin not working for me.\n",
    "\"\"\"\n",
    "import matplotlib.pyplot as plt\n",
    "import mplfinance as mpf\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import typing as tp\n",
    "from ape import accounts, chain, Contract, networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e0a51bfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<alchemy chain_id=1>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# SEE: https://gist.github.com/banteg/dcf6082ff7fc6ad51ce220146f29d9ff\n",
    "networks.parse_network_choice('ethereum:mainnet:alchemy').__enter__()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "069b902c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<TestAccount 0x1e59ce931B4CFea3fe4B875411e280e173cB7A9C>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get account 0\n",
    "dev = accounts.test_accounts[0]\n",
    "dev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "becacf57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the balance of account 0\n",
    "dev.balance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "542dac5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15453880"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current_block = chain.blocks[-1].number\n",
    "current_block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f558faa8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14805880"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dblocks = int(86400*90/12) # last 90 d\n",
    "start_block = current_block - dblocks\n",
    "start_block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5842fa52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Vyper_contract 0xDC24316b9AE028F1497c275EB9192a3Ea0f67022>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "curve_steth = Contract(\"0xDC24316b9AE028F1497c275EB9192a3Ea0f67022\")\n",
    "curve_steth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0c9c4c61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Lido 0xae7ab96520DE3A18E5e111B5EaAb095312D7fE84>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "steth = Contract(\"0xae7ab96520DE3A18E5e111B5EaAb095312D7fE84\")\n",
    "steth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "efed5dfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "575645732432343397833885"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "steth.balanceOf(curve_steth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7e281650",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TokenExchange(address indexed buyer, int128 sold_id, uint256 tokens_sold, int128 bought_id, uint256 tokens_bought)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "curve_steth.TokenExchange"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f39d35af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ape.contracts.base.ContractEvent"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(curve_steth.TokenExchange)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "629e5e2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Cache database has not been initialized\n",
      "CPU times: user 298 ms, sys: 37 ms, total: 335 ms\n",
      "Wall time: 1.98 s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_name</th>\n",
       "      <th>contract_address</th>\n",
       "      <th>event_arguments</th>\n",
       "      <th>transaction_hash</th>\n",
       "      <th>block_number</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>log_index</th>\n",
       "      <th>transaction_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...</td>\n",
       "      <td>0x9d4bb587f534abf5e77cb95c76c1fb13ce6ab877ecf9...</td>\n",
       "      <td>15450927</td>\n",
       "      <td>0x206f05a6f95ed5051e0ce6a7902dfa2f91af95f49421...</td>\n",
       "      <td>498</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...</td>\n",
       "      <td>0x7c99cd9810b1fb51ce0131154b69417d76b31c86e115...</td>\n",
       "      <td>15450946</td>\n",
       "      <td>0xfbf37b47706ad7d4d707567a4a15537d69e62ff51e32...</td>\n",
       "      <td>203</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...</td>\n",
       "      <td>0x5604049369caddd71c0a039ba1a23efe234340b4354b...</td>\n",
       "      <td>15451001</td>\n",
       "      <td>0xdee58292ceffd44f10764d429486449a17d672d9fcb2...</td>\n",
       "      <td>89</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xC869D1e7132290280cA0b4f58Ba711a1b...</td>\n",
       "      <td>0x3d0b9cc596ec50b2e75b74ceae4a96d319368c034829...</td>\n",
       "      <td>15451066</td>\n",
       "      <td>0xc1299cad6834767c9d9a9aefdd1bfa41010871d4f630...</td>\n",
       "      <td>428</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x60b59e663b2cb6de26582e2e64b8cdabdb694293c1bc...</td>\n",
       "      <td>15451131</td>\n",
       "      <td>0xfc4dea708731daa341260cecd9b3f09ad5e8cf290b45...</td>\n",
       "      <td>64</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0xafd8e2187e0e5dd8389e734f290ed7f0c2a7013566d2...</td>\n",
       "      <td>15451144</td>\n",
       "      <td>0x0ed4e61d1dbabba11656f87cc03dcd3fa6ea3f7a5c53...</td>\n",
       "      <td>516</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xa99Ad2247e2b5EEC38fEF05A313829ffE...</td>\n",
       "      <td>0xae77d47f9b168d060abd91c2c176a0276a705553fea8...</td>\n",
       "      <td>15451169</td>\n",
       "      <td>0x2ffff1bf2565027f4b6725e801596f93eab810889e09...</td>\n",
       "      <td>161</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xd5173d9B5f49364E0eacc10FDae460458...</td>\n",
       "      <td>0xad71ac3cd810d9967b983dbcce8554656a232188e66b...</td>\n",
       "      <td>15451193</td>\n",
       "      <td>0x6d76aabcfb35132bf8223b1f07e41577273c6c2e4b99...</td>\n",
       "      <td>130</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x91000060399502550000007bbfBA0052F...</td>\n",
       "      <td>0x4c24f7337b0e6973e7f9aa16d294cfc6b2356d959344...</td>\n",
       "      <td>15451580</td>\n",
       "      <td>0xcc6802ee0734ac7570cd2c7172ba2e6ad09734cec70a...</td>\n",
       "      <td>92</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0x332e97d3bfb7c5bfbc86764cae823f0f4d567e7c19af...</td>\n",
       "      <td>15451663</td>\n",
       "      <td>0x65c1e84e8ec4c6ade169cd9bb4b7c66152d76cefd330...</td>\n",
       "      <td>54</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0xfd3e4b35adaffd150344e123a36ac1d460a6ec777705...</td>\n",
       "      <td>15451670</td>\n",
       "      <td>0x60fbe67d2321037030e482e351e126bd29d8c3f1e65b...</td>\n",
       "      <td>188</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xe09801dA4C74e62fB42DFC8303a1C1BD6...</td>\n",
       "      <td>0xc7ac0e475ba7aa4c49a9dfcea6840eaf1e12dc1529ad...</td>\n",
       "      <td>15451718</td>\n",
       "      <td>0x1945e11fbea559a0712ff999515b15b2e8155d40f54f...</td>\n",
       "      <td>186</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0xebe7c74d85fcf37ce5721eab28972227b4e9a3fbd97a...</td>\n",
       "      <td>15451840</td>\n",
       "      <td>0x7c9040c2c72729abe74829180441c7945cfa4b0e3da7...</td>\n",
       "      <td>211</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x4e2f9ff56ecfa745ab9c296f032741530423a854ed06...</td>\n",
       "      <td>15452139</td>\n",
       "      <td>0xd20d512b99e1f0b5c3cd99bb2ea75293f455711c15b5...</td>\n",
       "      <td>627</td>\n",
       "      <td>267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x1314Dd7047Dcf0EA5d4D1fd6A907E7492...</td>\n",
       "      <td>0x91ff515c30620a00df07e74d793a3a28a3fbb8accfcb...</td>\n",
       "      <td>15452193</td>\n",
       "      <td>0xdb64d4b2b1db972868db8d5f7a71885aaf3516cf1065...</td>\n",
       "      <td>637</td>\n",
       "      <td>292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...</td>\n",
       "      <td>0xb013d4ea3e2e53ac5e80de82a6e4809474f05709e5ff...</td>\n",
       "      <td>15452232</td>\n",
       "      <td>0x562aea7c8291cf8999cec7aa0446163bf9c40a1ca793...</td>\n",
       "      <td>333</td>\n",
       "      <td>247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...</td>\n",
       "      <td>0x5da250725106f1b3e1b109f3103e1fb834008f4abdb0...</td>\n",
       "      <td>15452254</td>\n",
       "      <td>0x76f4cd0e2b17519d9b71837ecc41ab7a24675ff0b71f...</td>\n",
       "      <td>124</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...</td>\n",
       "      <td>0x27ba4fd160bc88c9ee1b2be0ee9443a0bd5a7ba10396...</td>\n",
       "      <td>15452259</td>\n",
       "      <td>0x153eb051b9e5f8fa4b143f21932c534789ba6bedca3b...</td>\n",
       "      <td>507</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0x922ddfd13851959f42f1029b78eaa3e9e88966cd06f2...</td>\n",
       "      <td>15452293</td>\n",
       "      <td>0xc78f8c042c8150d176b074c77340e7cf6538afd58279...</td>\n",
       "      <td>69</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x0000000000007F150Bd6f54c40A34d7C3...</td>\n",
       "      <td>0xb7087207cd085c805c7a42b76290a7877127e1945025...</td>\n",
       "      <td>15452486</td>\n",
       "      <td>0x7085c3c00d55625ff3e90cf9c90dd94070189390aa2e...</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0x8e50bfd453ac97c6ea007146e2f9255c51207f8581f4...</td>\n",
       "      <td>15452535</td>\n",
       "      <td>0xe3d54d85d08a2b154ebcebceb0e8bcbf78df7656452f...</td>\n",
       "      <td>538</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xAD2A9112eC74b0A97B8d9048Dd8078c6D...</td>\n",
       "      <td>0x443a8ee00dcec38743c1d0178eeb63480289a4ed3c66...</td>\n",
       "      <td>15452537</td>\n",
       "      <td>0x684905bcabb8a39bd8895cd96e93627f2a227b1fba96...</td>\n",
       "      <td>221</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x288931fA76d7B0482f0FD0BCA9a50Bf0D...</td>\n",
       "      <td>0x155e19e0fea921ea2af059697cc4a0609e20ed7f5377...</td>\n",
       "      <td>15452548</td>\n",
       "      <td>0x927713e4eaf8062e52cac30cabe90733fcd9136503f8...</td>\n",
       "      <td>60</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...</td>\n",
       "      <td>0x4211111638eb1eecf1c677c684a40f9d692e21522ae9...</td>\n",
       "      <td>15452572</td>\n",
       "      <td>0xd488b998fb544fc4b33c6a1ea4efe8f97b3fcff90856...</td>\n",
       "      <td>199</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xd8c07491cAA1eDF960db3Ceff387426d5...</td>\n",
       "      <td>0xa5c59c7291530c140d009f9c9fa0b9ddaaae3ed1b698...</td>\n",
       "      <td>15452672</td>\n",
       "      <td>0xaebfa3f53a6dcfeae17fba873546865a43a5e672f43f...</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x27239549DD40E1D60F5B80B0C41969237...</td>\n",
       "      <td>0x0aabeb4e3ad0a2ba1587b9ae835b9d5abd4917b42620...</td>\n",
       "      <td>15452706</td>\n",
       "      <td>0xee3bd629240ee58e277d4986185154dc68ab9970036e...</td>\n",
       "      <td>142</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x27239549DD40E1D60F5B80B0C41969237...</td>\n",
       "      <td>0xf4b80870a8532e0bc3d6c65cc09bcf89f65154d39940...</td>\n",
       "      <td>15452760</td>\n",
       "      <td>0x965c7091ae2337fd4523b664ebea996265dee10f760c...</td>\n",
       "      <td>330</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xe09801dA4C74e62fB42DFC8303a1C1BD6...</td>\n",
       "      <td>0x65a4ad8e52ac23fae869074cfe9fbcd0d725b98c7567...</td>\n",
       "      <td>15452797</td>\n",
       "      <td>0xb81736ffc8e5b4db0db3c5779be68fe36e32c8833b75...</td>\n",
       "      <td>232</td>\n",
       "      <td>154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xe09801dA4C74e62fB42DFC8303a1C1BD6...</td>\n",
       "      <td>0x65a4ad8e52ac23fae869074cfe9fbcd0d725b98c7567...</td>\n",
       "      <td>15452797</td>\n",
       "      <td>0xb81736ffc8e5b4db0db3c5779be68fe36e32c8833b75...</td>\n",
       "      <td>236</td>\n",
       "      <td>154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0xa21768d50b2e43440b9b9716d45c83abe39425071085...</td>\n",
       "      <td>15452815</td>\n",
       "      <td>0x5e32cdf8a801c7e1b3b9ffbdd1ac18dbfc35ccdd643e...</td>\n",
       "      <td>175</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xE3c8A4De3b8A484ff890a38d6D7B5D278...</td>\n",
       "      <td>0xa7c106492f6608d23f826ef8ec3d06ed1c96546f1e8f...</td>\n",
       "      <td>15452871</td>\n",
       "      <td>0x2b3ad371bd838073dea48a491b36750130c09fb2ba6a...</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfC8333829a69d922B9d691F4D76185BDf...</td>\n",
       "      <td>0x4df90a4005168542449cebd3b88a338a1576e7c6e1e4...</td>\n",
       "      <td>15452896</td>\n",
       "      <td>0x323f8468c8ca03bc212529f2cbf84fe1fc145fa8c5f0...</td>\n",
       "      <td>291</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x121a3852492a9b90a30c72d982fad13c1022d72abb66...</td>\n",
       "      <td>15452902</td>\n",
       "      <td>0xdf835845af681dffad759e72ea1e7ac45a86b356aacd...</td>\n",
       "      <td>181</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x27239549DD40E1D60F5B80B0C41969237...</td>\n",
       "      <td>0x6e4efcbba950b7ebe0ceda6d35d12e9ce00d24967eb8...</td>\n",
       "      <td>15453115</td>\n",
       "      <td>0xe11a0b22e1df9ca346c3944c7011676c865c5a6b4b5f...</td>\n",
       "      <td>81</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x058e8157491c3e3f5e22aee4b6d2ea2f36c339c485f3...</td>\n",
       "      <td>15453224</td>\n",
       "      <td>0x965ebe6548cf34e23967df067984fa65d46901bc0d2d...</td>\n",
       "      <td>199</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x3af20d3d2d0a504c737acd87dc5bb08b3dc8e850451b...</td>\n",
       "      <td>15453251</td>\n",
       "      <td>0xcc771be3ddaadfee1d19e52e9031992601b53ed38298...</td>\n",
       "      <td>235</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x288931fA76d7B0482f0FD0BCA9a50Bf0D...</td>\n",
       "      <td>0x88b37e4687fac18dd7494213f627e7c67ba8a84a7686...</td>\n",
       "      <td>15453267</td>\n",
       "      <td>0x8c1227315df64ba095b4bb16bf1d3811b5a5a64d8734...</td>\n",
       "      <td>25</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...</td>\n",
       "      <td>15453273</td>\n",
       "      <td>0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...</td>\n",
       "      <td>316</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...</td>\n",
       "      <td>0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...</td>\n",
       "      <td>15453320</td>\n",
       "      <td>0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...</td>\n",
       "      <td>243</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...</td>\n",
       "      <td>0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...</td>\n",
       "      <td>15453534</td>\n",
       "      <td>0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...</td>\n",
       "      <td>225</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...</td>\n",
       "      <td>15453542</td>\n",
       "      <td>0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...</td>\n",
       "      <td>421</td>\n",
       "      <td>357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...</td>\n",
       "      <td>15453797</td>\n",
       "      <td>0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...</td>\n",
       "      <td>307</td>\n",
       "      <td>253</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       event_name                            contract_address  \\\n",
       "0   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "1   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "2   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "3   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "4   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "5   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "6   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "7   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "8   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "9   TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "10  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "12  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "13  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "14  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "15  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "16  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "17  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "18  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "20  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "21  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "22  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "23  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "24  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "25  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "26  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "27  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "28  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "29  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "30  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "31  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "32  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "33  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "34  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "35  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "36  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "37  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "38  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "39  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "40  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "41  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "\n",
       "                                      event_arguments  \\\n",
       "0   {'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...   \n",
       "1   {'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...   \n",
       "2   {'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...   \n",
       "3   {'buyer': '0xC869D1e7132290280cA0b4f58Ba711a1b...   \n",
       "4   {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "5   {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "6   {'buyer': '0xa99Ad2247e2b5EEC38fEF05A313829ffE...   \n",
       "7   {'buyer': '0xd5173d9B5f49364E0eacc10FDae460458...   \n",
       "8   {'buyer': '0x91000060399502550000007bbfBA0052F...   \n",
       "9   {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "10  {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "11  {'buyer': '0xe09801dA4C74e62fB42DFC8303a1C1BD6...   \n",
       "12  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "13  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "14  {'buyer': '0x1314Dd7047Dcf0EA5d4D1fd6A907E7492...   \n",
       "15  {'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...   \n",
       "16  {'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...   \n",
       "17  {'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...   \n",
       "18  {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "19  {'buyer': '0x0000000000007F150Bd6f54c40A34d7C3...   \n",
       "20  {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "21  {'buyer': '0xAD2A9112eC74b0A97B8d9048Dd8078c6D...   \n",
       "22  {'buyer': '0x288931fA76d7B0482f0FD0BCA9a50Bf0D...   \n",
       "23  {'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...   \n",
       "24  {'buyer': '0xd8c07491cAA1eDF960db3Ceff387426d5...   \n",
       "25  {'buyer': '0x27239549DD40E1D60F5B80B0C41969237...   \n",
       "26  {'buyer': '0x27239549DD40E1D60F5B80B0C41969237...   \n",
       "27  {'buyer': '0xe09801dA4C74e62fB42DFC8303a1C1BD6...   \n",
       "28  {'buyer': '0xe09801dA4C74e62fB42DFC8303a1C1BD6...   \n",
       "29  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "30  {'buyer': '0xE3c8A4De3b8A484ff890a38d6D7B5D278...   \n",
       "31  {'buyer': '0xfC8333829a69d922B9d691F4D76185BDf...   \n",
       "32  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "33  {'buyer': '0x27239549DD40E1D60F5B80B0C41969237...   \n",
       "34  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "35  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "36  {'buyer': '0x288931fA76d7B0482f0FD0BCA9a50Bf0D...   \n",
       "37  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "38  {'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...   \n",
       "39  {'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...   \n",
       "40  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "41  {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "\n",
       "                                     transaction_hash  block_number  \\\n",
       "0   0x9d4bb587f534abf5e77cb95c76c1fb13ce6ab877ecf9...      15450927   \n",
       "1   0x7c99cd9810b1fb51ce0131154b69417d76b31c86e115...      15450946   \n",
       "2   0x5604049369caddd71c0a039ba1a23efe234340b4354b...      15451001   \n",
       "3   0x3d0b9cc596ec50b2e75b74ceae4a96d319368c034829...      15451066   \n",
       "4   0x60b59e663b2cb6de26582e2e64b8cdabdb694293c1bc...      15451131   \n",
       "5   0xafd8e2187e0e5dd8389e734f290ed7f0c2a7013566d2...      15451144   \n",
       "6   0xae77d47f9b168d060abd91c2c176a0276a705553fea8...      15451169   \n",
       "7   0xad71ac3cd810d9967b983dbcce8554656a232188e66b...      15451193   \n",
       "8   0x4c24f7337b0e6973e7f9aa16d294cfc6b2356d959344...      15451580   \n",
       "9   0x332e97d3bfb7c5bfbc86764cae823f0f4d567e7c19af...      15451663   \n",
       "10  0xfd3e4b35adaffd150344e123a36ac1d460a6ec777705...      15451670   \n",
       "11  0xc7ac0e475ba7aa4c49a9dfcea6840eaf1e12dc1529ad...      15451718   \n",
       "12  0xebe7c74d85fcf37ce5721eab28972227b4e9a3fbd97a...      15451840   \n",
       "13  0x4e2f9ff56ecfa745ab9c296f032741530423a854ed06...      15452139   \n",
       "14  0x91ff515c30620a00df07e74d793a3a28a3fbb8accfcb...      15452193   \n",
       "15  0xb013d4ea3e2e53ac5e80de82a6e4809474f05709e5ff...      15452232   \n",
       "16  0x5da250725106f1b3e1b109f3103e1fb834008f4abdb0...      15452254   \n",
       "17  0x27ba4fd160bc88c9ee1b2be0ee9443a0bd5a7ba10396...      15452259   \n",
       "18  0x922ddfd13851959f42f1029b78eaa3e9e88966cd06f2...      15452293   \n",
       "19  0xb7087207cd085c805c7a42b76290a7877127e1945025...      15452486   \n",
       "20  0x8e50bfd453ac97c6ea007146e2f9255c51207f8581f4...      15452535   \n",
       "21  0x443a8ee00dcec38743c1d0178eeb63480289a4ed3c66...      15452537   \n",
       "22  0x155e19e0fea921ea2af059697cc4a0609e20ed7f5377...      15452548   \n",
       "23  0x4211111638eb1eecf1c677c684a40f9d692e21522ae9...      15452572   \n",
       "24  0xa5c59c7291530c140d009f9c9fa0b9ddaaae3ed1b698...      15452672   \n",
       "25  0x0aabeb4e3ad0a2ba1587b9ae835b9d5abd4917b42620...      15452706   \n",
       "26  0xf4b80870a8532e0bc3d6c65cc09bcf89f65154d39940...      15452760   \n",
       "27  0x65a4ad8e52ac23fae869074cfe9fbcd0d725b98c7567...      15452797   \n",
       "28  0x65a4ad8e52ac23fae869074cfe9fbcd0d725b98c7567...      15452797   \n",
       "29  0xa21768d50b2e43440b9b9716d45c83abe39425071085...      15452815   \n",
       "30  0xa7c106492f6608d23f826ef8ec3d06ed1c96546f1e8f...      15452871   \n",
       "31  0x4df90a4005168542449cebd3b88a338a1576e7c6e1e4...      15452896   \n",
       "32  0x121a3852492a9b90a30c72d982fad13c1022d72abb66...      15452902   \n",
       "33  0x6e4efcbba950b7ebe0ceda6d35d12e9ce00d24967eb8...      15453115   \n",
       "34  0x058e8157491c3e3f5e22aee4b6d2ea2f36c339c485f3...      15453224   \n",
       "35  0x3af20d3d2d0a504c737acd87dc5bb08b3dc8e850451b...      15453251   \n",
       "36  0x88b37e4687fac18dd7494213f627e7c67ba8a84a7686...      15453267   \n",
       "37  0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...      15453273   \n",
       "38  0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...      15453320   \n",
       "39  0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...      15453534   \n",
       "40  0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...      15453542   \n",
       "41  0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...      15453797   \n",
       "\n",
       "                                           block_hash  log_index  \\\n",
       "0   0x206f05a6f95ed5051e0ce6a7902dfa2f91af95f49421...        498   \n",
       "1   0xfbf37b47706ad7d4d707567a4a15537d69e62ff51e32...        203   \n",
       "2   0xdee58292ceffd44f10764d429486449a17d672d9fcb2...         89   \n",
       "3   0xc1299cad6834767c9d9a9aefdd1bfa41010871d4f630...        428   \n",
       "4   0xfc4dea708731daa341260cecd9b3f09ad5e8cf290b45...         64   \n",
       "5   0x0ed4e61d1dbabba11656f87cc03dcd3fa6ea3f7a5c53...        516   \n",
       "6   0x2ffff1bf2565027f4b6725e801596f93eab810889e09...        161   \n",
       "7   0x6d76aabcfb35132bf8223b1f07e41577273c6c2e4b99...        130   \n",
       "8   0xcc6802ee0734ac7570cd2c7172ba2e6ad09734cec70a...         92   \n",
       "9   0x65c1e84e8ec4c6ade169cd9bb4b7c66152d76cefd330...         54   \n",
       "10  0x60fbe67d2321037030e482e351e126bd29d8c3f1e65b...        188   \n",
       "11  0x1945e11fbea559a0712ff999515b15b2e8155d40f54f...        186   \n",
       "12  0x7c9040c2c72729abe74829180441c7945cfa4b0e3da7...        211   \n",
       "13  0xd20d512b99e1f0b5c3cd99bb2ea75293f455711c15b5...        627   \n",
       "14  0xdb64d4b2b1db972868db8d5f7a71885aaf3516cf1065...        637   \n",
       "15  0x562aea7c8291cf8999cec7aa0446163bf9c40a1ca793...        333   \n",
       "16  0x76f4cd0e2b17519d9b71837ecc41ab7a24675ff0b71f...        124   \n",
       "17  0x153eb051b9e5f8fa4b143f21932c534789ba6bedca3b...        507   \n",
       "18  0xc78f8c042c8150d176b074c77340e7cf6538afd58279...         69   \n",
       "19  0x7085c3c00d55625ff3e90cf9c90dd94070189390aa2e...         21   \n",
       "20  0xe3d54d85d08a2b154ebcebceb0e8bcbf78df7656452f...        538   \n",
       "21  0x684905bcabb8a39bd8895cd96e93627f2a227b1fba96...        221   \n",
       "22  0x927713e4eaf8062e52cac30cabe90733fcd9136503f8...         60   \n",
       "23  0xd488b998fb544fc4b33c6a1ea4efe8f97b3fcff90856...        199   \n",
       "24  0xaebfa3f53a6dcfeae17fba873546865a43a5e672f43f...         12   \n",
       "25  0xee3bd629240ee58e277d4986185154dc68ab9970036e...        142   \n",
       "26  0x965c7091ae2337fd4523b664ebea996265dee10f760c...        330   \n",
       "27  0xb81736ffc8e5b4db0db3c5779be68fe36e32c8833b75...        232   \n",
       "28  0xb81736ffc8e5b4db0db3c5779be68fe36e32c8833b75...        236   \n",
       "29  0x5e32cdf8a801c7e1b3b9ffbdd1ac18dbfc35ccdd643e...        175   \n",
       "30  0x2b3ad371bd838073dea48a491b36750130c09fb2ba6a...         31   \n",
       "31  0x323f8468c8ca03bc212529f2cbf84fe1fc145fa8c5f0...        291   \n",
       "32  0xdf835845af681dffad759e72ea1e7ac45a86b356aacd...        181   \n",
       "33  0xe11a0b22e1df9ca346c3944c7011676c865c5a6b4b5f...         81   \n",
       "34  0x965ebe6548cf34e23967df067984fa65d46901bc0d2d...        199   \n",
       "35  0xcc771be3ddaadfee1d19e52e9031992601b53ed38298...        235   \n",
       "36  0x8c1227315df64ba095b4bb16bf1d3811b5a5a64d8734...         25   \n",
       "37  0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...        316   \n",
       "38  0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...        243   \n",
       "39  0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...        225   \n",
       "40  0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...        421   \n",
       "41  0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...        307   \n",
       "\n",
       "    transaction_index  \n",
       "0                 232  \n",
       "1                  98  \n",
       "2                  84  \n",
       "3                 203  \n",
       "4                 123  \n",
       "5                  96  \n",
       "6                  29  \n",
       "7                  57  \n",
       "8                  12  \n",
       "9                  31  \n",
       "10                 88  \n",
       "11                 53  \n",
       "12                 50  \n",
       "13                267  \n",
       "14                292  \n",
       "15                247  \n",
       "16                 10  \n",
       "17                220  \n",
       "18                 53  \n",
       "19                  3  \n",
       "20                205  \n",
       "21                 96  \n",
       "22                 36  \n",
       "23                184  \n",
       "24                  1  \n",
       "25                 89  \n",
       "26                211  \n",
       "27                154  \n",
       "28                154  \n",
       "29                 98  \n",
       "30                  2  \n",
       "31                 62  \n",
       "32                 85  \n",
       "33                 69  \n",
       "34                141  \n",
       "35                113  \n",
       "36                 18  \n",
       "37                271  \n",
       "38                258  \n",
       "39                153  \n",
       "40                357  \n",
       "41                253  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time query_swaps_recent = curve_steth.TokenExchange.query(\"*\", start_block=current_block-3000) # last 10 hr\n",
    "query_swaps_recent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "12886651",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sweet, very cool :)\n",
    "type(query_swaps_recent)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "61f9b0b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    {'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...\n",
       "1    {'buyer': '0x9f4F18AC9cc9dE7C1441AC39Ab2DbD717...\n",
       "2    {'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...\n",
       "3    {'buyer': '0xC869D1e7132290280cA0b4f58Ba711a1b...\n",
       "4    {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...\n",
       "5    {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...\n",
       "6    {'buyer': '0xa99Ad2247e2b5EEC38fEF05A313829ffE...\n",
       "7    {'buyer': '0xd5173d9B5f49364E0eacc10FDae460458...\n",
       "8    {'buyer': '0x91000060399502550000007bbfBA0052F...\n",
       "9    {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...\n",
       "Name: event_arguments, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# take a deeper dive into event arguments column. it's a pandas series\n",
    "query_swaps_recent[\"event_arguments\"][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "abffe356",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(query_swaps_recent[\"event_arguments\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2e5079a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB59176FEe57',\n",
       " 'sold_id': 0,\n",
       " 'tokens_sold': 9646274524642794708,\n",
       " 'bought_id': 1,\n",
       " 'tokens_bought': 9927491091346153686}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query_swaps_recent[\"event_arguments\"].iloc[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "29580294",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 37 s, sys: 5.41 s, total: 42.4 s\n",
      "Wall time: 3min 22s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_name</th>\n",
       "      <th>contract_address</th>\n",
       "      <th>event_arguments</th>\n",
       "      <th>transaction_hash</th>\n",
       "      <th>block_number</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>log_index</th>\n",
       "      <th>transaction_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0xaca594c7fdb9f87a32c83fc3aa4b1fffed8056a20d80...</td>\n",
       "      <td>14805946</td>\n",
       "      <td>0x757273111a679c3ad248424d5a1586244d9ec8baf940...</td>\n",
       "      <td>197</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0xb82e4069e45e61b1de2c754cacf1ab1ccc40b17ce950...</td>\n",
       "      <td>14805949</td>\n",
       "      <td>0xb58382ff1bf4cdadce1fc8297f7a98b71ca97d66e457...</td>\n",
       "      <td>246</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0x982cc2acdb911583fbc1a02c76228da58c3eb1899cfa...</td>\n",
       "      <td>14805966</td>\n",
       "      <td>0xc0744a04ee029e9547641e928179c01c9144ce991b4c...</td>\n",
       "      <td>156</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0xd02f4997b32c7d79d070ddb521505b66caf7188824f8...</td>\n",
       "      <td>14806016</td>\n",
       "      <td>0x724910de73edf4382516fd0573615bbdeb84b8a4f5a8...</td>\n",
       "      <td>215</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x0c43A4a20D2751DaFbB130024355E81df...</td>\n",
       "      <td>0x6ad094d8e7ec75a03f4be1d6a68f5552d10f20e32b66...</td>\n",
       "      <td>14806057</td>\n",
       "      <td>0x5901063081873abec82682c0da7823e576e2a001436f...</td>\n",
       "      <td>242</td>\n",
       "      <td>196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19452</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...</td>\n",
       "      <td>15453273</td>\n",
       "      <td>0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...</td>\n",
       "      <td>316</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19453</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...</td>\n",
       "      <td>0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...</td>\n",
       "      <td>15453320</td>\n",
       "      <td>0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...</td>\n",
       "      <td>243</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19454</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...</td>\n",
       "      <td>0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...</td>\n",
       "      <td>15453534</td>\n",
       "      <td>0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...</td>\n",
       "      <td>225</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19455</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...</td>\n",
       "      <td>15453542</td>\n",
       "      <td>0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...</td>\n",
       "      <td>421</td>\n",
       "      <td>357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19456</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...</td>\n",
       "      <td>15453797</td>\n",
       "      <td>0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...</td>\n",
       "      <td>307</td>\n",
       "      <td>253</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19457 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          event_name                            contract_address  \\\n",
       "0      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "1      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "2      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "3      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "4      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "...              ...                                         ...   \n",
       "19452  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19453  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19454  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19455  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19456  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "\n",
       "                                         event_arguments  \\\n",
       "0      {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "1      {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "2      {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "3      {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "4      {'buyer': '0x0c43A4a20D2751DaFbB130024355E81df...   \n",
       "...                                                  ...   \n",
       "19452  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "19453  {'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...   \n",
       "19454  {'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...   \n",
       "19455  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "19456  {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "\n",
       "                                        transaction_hash  block_number  \\\n",
       "0      0xaca594c7fdb9f87a32c83fc3aa4b1fffed8056a20d80...      14805946   \n",
       "1      0xb82e4069e45e61b1de2c754cacf1ab1ccc40b17ce950...      14805949   \n",
       "2      0x982cc2acdb911583fbc1a02c76228da58c3eb1899cfa...      14805966   \n",
       "3      0xd02f4997b32c7d79d070ddb521505b66caf7188824f8...      14806016   \n",
       "4      0x6ad094d8e7ec75a03f4be1d6a68f5552d10f20e32b66...      14806057   \n",
       "...                                                  ...           ...   \n",
       "19452  0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...      15453273   \n",
       "19453  0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...      15453320   \n",
       "19454  0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...      15453534   \n",
       "19455  0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...      15453542   \n",
       "19456  0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...      15453797   \n",
       "\n",
       "                                              block_hash  log_index  \\\n",
       "0      0x757273111a679c3ad248424d5a1586244d9ec8baf940...        197   \n",
       "1      0xb58382ff1bf4cdadce1fc8297f7a98b71ca97d66e457...        246   \n",
       "2      0xc0744a04ee029e9547641e928179c01c9144ce991b4c...        156   \n",
       "3      0x724910de73edf4382516fd0573615bbdeb84b8a4f5a8...        215   \n",
       "4      0x5901063081873abec82682c0da7823e576e2a001436f...        242   \n",
       "...                                                  ...        ...   \n",
       "19452  0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...        316   \n",
       "19453  0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...        243   \n",
       "19454  0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...        225   \n",
       "19455  0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...        421   \n",
       "19456  0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...        307   \n",
       "\n",
       "       transaction_index  \n",
       "0                     76  \n",
       "1                    182  \n",
       "2                    146  \n",
       "3                    189  \n",
       "4                    196  \n",
       "...                  ...  \n",
       "19452                271  \n",
       "19453                258  \n",
       "19454                153  \n",
       "19455                357  \n",
       "19456                253  \n",
       "\n",
       "[19457 rows x 8 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ok great. let's look a bit further into the past to start_block from above. see how long it takes\n",
    "%time query_swaps_original = curve_steth.TokenExchange.query(\"*\", start_block=start_block)\n",
    "query_swaps_original"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a09591e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_swaps = query_swaps_original.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "11b8e5ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['0xEeeeeEeeeEeEeeEeEeEeeEEEeeeeEeeeeeeeEEeE',\n",
       " '0xae7ab96520DE3A18E5e111B5EaAb095312D7fE84']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get coin indices:\n",
    "#  - 0 = ETH (native)\n",
    "#  - 1 = stETH\n",
    "coin_indices = [curve_steth.coins(i) for i in range(2)]\n",
    "coin_indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "65b54df5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "steth.address == coin_indices[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a1801ec8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0004"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cache the fee to calculate associated price correctly (prior to fees applied)\n",
    "curve_steth_fee = curve_steth.fee() / 1e10  # fee denom is 1e10\n",
    "curve_steth_fee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9db01db2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "last swap event: {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB59176FEe57', 'sold_id': 0, 'tokens_sold': 9646274524642794708, 'bought_id': 1, 'tokens_bought': 9927491091346153686}\n",
      "price: 0.9712844331862555\n"
     ]
    }
   ],
   "source": [
    "# if sold_id == 1, then selling stETH for ETH, which is price wanted\n",
    "#  i.e. quote = <ETH>, base = <stETH>\n",
    "last_swap = query_swaps[\"event_arguments\"].iloc[-1]\n",
    "print('last swap event:', last_swap)\n",
    "\n",
    "last_price = last_swap['tokens_bought'] * (1+curve_steth_fee) / last_swap['tokens_sold']\n",
    "if last_swap['sold_id'] == 0:\n",
    "    last_price = 1 / last_price\n",
    "print('price:', last_price)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "05daceae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# write a function that iterates over event_arguments to calculate marginal price from last token swap\n",
    "def get_price(event_args: dict) -> float:\n",
    "    price = event_args['tokens_bought'] * (1+curve_steth_fee) / event_args['tokens_sold']\n",
    "    if event_args['sold_id'] == 0:\n",
    "        price = 1 / price\n",
    "    return price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8f06306a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# validate with logic in cell above for last price\n",
    "get_price(query_swaps[\"event_arguments\"].iloc[-1]) == last_price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "18eede99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_name</th>\n",
       "      <th>contract_address</th>\n",
       "      <th>event_arguments</th>\n",
       "      <th>transaction_hash</th>\n",
       "      <th>block_number</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>log_index</th>\n",
       "      <th>transaction_index</th>\n",
       "      <th>price (STETH/ETH)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0xaca594c7fdb9f87a32c83fc3aa4b1fffed8056a20d80...</td>\n",
       "      <td>14805946</td>\n",
       "      <td>0x757273111a679c3ad248424d5a1586244d9ec8baf940...</td>\n",
       "      <td>197</td>\n",
       "      <td>76</td>\n",
       "      <td>0.983072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0xb82e4069e45e61b1de2c754cacf1ab1ccc40b17ce950...</td>\n",
       "      <td>14805949</td>\n",
       "      <td>0xb58382ff1bf4cdadce1fc8297f7a98b71ca97d66e457...</td>\n",
       "      <td>246</td>\n",
       "      <td>182</td>\n",
       "      <td>0.983020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0x982cc2acdb911583fbc1a02c76228da58c3eb1899cfa...</td>\n",
       "      <td>14805966</td>\n",
       "      <td>0xc0744a04ee029e9547641e928179c01c9144ce991b4c...</td>\n",
       "      <td>156</td>\n",
       "      <td>146</td>\n",
       "      <td>0.983020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0xd02f4997b32c7d79d070ddb521505b66caf7188824f8...</td>\n",
       "      <td>14806016</td>\n",
       "      <td>0x724910de73edf4382516fd0573615bbdeb84b8a4f5a8...</td>\n",
       "      <td>215</td>\n",
       "      <td>189</td>\n",
       "      <td>0.983021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x0c43A4a20D2751DaFbB130024355E81df...</td>\n",
       "      <td>0x6ad094d8e7ec75a03f4be1d6a68f5552d10f20e32b66...</td>\n",
       "      <td>14806057</td>\n",
       "      <td>0x5901063081873abec82682c0da7823e576e2a001436f...</td>\n",
       "      <td>242</td>\n",
       "      <td>196</td>\n",
       "      <td>0.983021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19452</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...</td>\n",
       "      <td>15453273</td>\n",
       "      <td>0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...</td>\n",
       "      <td>316</td>\n",
       "      <td>271</td>\n",
       "      <td>0.971294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19453</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...</td>\n",
       "      <td>0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...</td>\n",
       "      <td>15453320</td>\n",
       "      <td>0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...</td>\n",
       "      <td>243</td>\n",
       "      <td>258</td>\n",
       "      <td>0.971288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19454</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...</td>\n",
       "      <td>0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...</td>\n",
       "      <td>15453534</td>\n",
       "      <td>0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...</td>\n",
       "      <td>225</td>\n",
       "      <td>153</td>\n",
       "      <td>0.971282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19455</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...</td>\n",
       "      <td>15453542</td>\n",
       "      <td>0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...</td>\n",
       "      <td>421</td>\n",
       "      <td>357</td>\n",
       "      <td>0.971282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19456</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...</td>\n",
       "      <td>15453797</td>\n",
       "      <td>0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...</td>\n",
       "      <td>307</td>\n",
       "      <td>253</td>\n",
       "      <td>0.971284</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19457 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          event_name                            contract_address  \\\n",
       "0      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "1      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "2      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "3      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "4      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "...              ...                                         ...   \n",
       "19452  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19453  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19454  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19455  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19456  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "\n",
       "                                         event_arguments  \\\n",
       "0      {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "1      {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "2      {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "3      {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "4      {'buyer': '0x0c43A4a20D2751DaFbB130024355E81df...   \n",
       "...                                                  ...   \n",
       "19452  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "19453  {'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...   \n",
       "19454  {'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...   \n",
       "19455  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "19456  {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "\n",
       "                                        transaction_hash  block_number  \\\n",
       "0      0xaca594c7fdb9f87a32c83fc3aa4b1fffed8056a20d80...      14805946   \n",
       "1      0xb82e4069e45e61b1de2c754cacf1ab1ccc40b17ce950...      14805949   \n",
       "2      0x982cc2acdb911583fbc1a02c76228da58c3eb1899cfa...      14805966   \n",
       "3      0xd02f4997b32c7d79d070ddb521505b66caf7188824f8...      14806016   \n",
       "4      0x6ad094d8e7ec75a03f4be1d6a68f5552d10f20e32b66...      14806057   \n",
       "...                                                  ...           ...   \n",
       "19452  0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...      15453273   \n",
       "19453  0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...      15453320   \n",
       "19454  0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...      15453534   \n",
       "19455  0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...      15453542   \n",
       "19456  0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...      15453797   \n",
       "\n",
       "                                              block_hash  log_index  \\\n",
       "0      0x757273111a679c3ad248424d5a1586244d9ec8baf940...        197   \n",
       "1      0xb58382ff1bf4cdadce1fc8297f7a98b71ca97d66e457...        246   \n",
       "2      0xc0744a04ee029e9547641e928179c01c9144ce991b4c...        156   \n",
       "3      0x724910de73edf4382516fd0573615bbdeb84b8a4f5a8...        215   \n",
       "4      0x5901063081873abec82682c0da7823e576e2a001436f...        242   \n",
       "...                                                  ...        ...   \n",
       "19452  0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...        316   \n",
       "19453  0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...        243   \n",
       "19454  0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...        225   \n",
       "19455  0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...        421   \n",
       "19456  0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...        307   \n",
       "\n",
       "       transaction_index  price (STETH/ETH)  \n",
       "0                     76           0.983072  \n",
       "1                    182           0.983020  \n",
       "2                    146           0.983020  \n",
       "3                    189           0.983021  \n",
       "4                    196           0.983021  \n",
       "...                  ...                ...  \n",
       "19452                271           0.971294  \n",
       "19453                258           0.971288  \n",
       "19454                153           0.971282  \n",
       "19455                357           0.971282  \n",
       "19456                253           0.971284  \n",
       "\n",
       "[19457 rows x 9 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create new column with marginal price (stETH as base and ETH as quote, so should be at a discount)\n",
    "query_swaps['price (STETH/ETH)'] = query_swaps['event_arguments'].apply(get_price)\n",
    "query_swaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c7301a74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='block_number'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "query_swaps.plot(x='block_number', y='price (STETH/ETH)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d4ae9127",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='block_number'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# well those are weird dips and spikes. look at smooth parts\n",
    "query_swaps[(query_swaps['block_number'] > 15100000) & (query_swaps['block_number'] < 15200000)].plot(x='block_number', y='price (STETH/ETH)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0cdc144e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='block_number'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# weird spike for swaps back to 1.000 exchange rate. should look at this in event df\n",
    "query_swaps[(query_swaps['block_number'] > 15131500) & (query_swaps['block_number'] < 15133000)].plot(x='block_number', y='price (STETH/ETH)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fefbc986",
   "metadata": {},
   "outputs": [],
   "source": [
    "# first, unfold event arguments into separate columns\n",
    "def unfold_event_args(key: str, event_args: dict) -> tp.Any:\n",
    "    return event_args[key]\n",
    "\n",
    "for key in query_swaps.iloc[-1]['event_arguments'].keys():\n",
    "    query_swaps[key] = query_swaps['event_arguments'].apply(lambda ev: unfold_event_args(key, ev))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9dc5f51e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_name</th>\n",
       "      <th>contract_address</th>\n",
       "      <th>event_arguments</th>\n",
       "      <th>transaction_hash</th>\n",
       "      <th>block_number</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>log_index</th>\n",
       "      <th>transaction_index</th>\n",
       "      <th>price (STETH/ETH)</th>\n",
       "      <th>buyer</th>\n",
       "      <th>sold_id</th>\n",
       "      <th>tokens_sold</th>\n",
       "      <th>bought_id</th>\n",
       "      <th>tokens_bought</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0xaca594c7fdb9f87a32c83fc3aa4b1fffed8056a20d80...</td>\n",
       "      <td>14805946</td>\n",
       "      <td>0x757273111a679c3ad248424d5a1586244d9ec8baf940...</td>\n",
       "      <td>197</td>\n",
       "      <td>76</td>\n",
       "      <td>0.983072</td>\n",
       "      <td>0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4</td>\n",
       "      <td>1</td>\n",
       "      <td>700000000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>687875178355535745964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0xb82e4069e45e61b1de2c754cacf1ab1ccc40b17ce950...</td>\n",
       "      <td>14805949</td>\n",
       "      <td>0xb58382ff1bf4cdadce1fc8297f7a98b71ca97d66e457...</td>\n",
       "      <td>246</td>\n",
       "      <td>182</td>\n",
       "      <td>0.983020</td>\n",
       "      <td>0xfA9a30350048B2BF66865ee20363067c66f67e58</td>\n",
       "      <td>1</td>\n",
       "      <td>10000000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>9826273826382007791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0x982cc2acdb911583fbc1a02c76228da58c3eb1899cfa...</td>\n",
       "      <td>14805966</td>\n",
       "      <td>0xc0744a04ee029e9547641e928179c01c9144ce991b4c...</td>\n",
       "      <td>156</td>\n",
       "      <td>146</td>\n",
       "      <td>0.983020</td>\n",
       "      <td>0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4</td>\n",
       "      <td>1</td>\n",
       "      <td>614070000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>603401523819156548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0xd02f4997b32c7d79d070ddb521505b66caf7188824f8...</td>\n",
       "      <td>14806016</td>\n",
       "      <td>0x724910de73edf4382516fd0573615bbdeb84b8a4f5a8...</td>\n",
       "      <td>215</td>\n",
       "      <td>189</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0xfA9a30350048B2BF66865ee20363067c66f67e58</td>\n",
       "      <td>1</td>\n",
       "      <td>4350000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4274431391401509923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x0c43A4a20D2751DaFbB130024355E81df...</td>\n",
       "      <td>0x6ad094d8e7ec75a03f4be1d6a68f5552d10f20e32b66...</td>\n",
       "      <td>14806057</td>\n",
       "      <td>0x5901063081873abec82682c0da7823e576e2a001436f...</td>\n",
       "      <td>242</td>\n",
       "      <td>196</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0x0c43A4a20D2751DaFbB130024355E81dff724d3a</td>\n",
       "      <td>1</td>\n",
       "      <td>2661716510582147106</td>\n",
       "      <td>0</td>\n",
       "      <td>2615477797984023549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19452</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...</td>\n",
       "      <td>15453273</td>\n",
       "      <td>0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...</td>\n",
       "      <td>316</td>\n",
       "      <td>271</td>\n",
       "      <td>0.971294</td>\n",
       "      <td>0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8</td>\n",
       "      <td>1</td>\n",
       "      <td>4271237846165710434</td>\n",
       "      <td>0</td>\n",
       "      <td>4146970008556619586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19453</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...</td>\n",
       "      <td>0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...</td>\n",
       "      <td>15453320</td>\n",
       "      <td>0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...</td>\n",
       "      <td>243</td>\n",
       "      <td>258</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0xFEf3C7aa6956D03dbad8959c59155c4A465DCacd</td>\n",
       "      <td>1</td>\n",
       "      <td>38000000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>36894174538661211189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19454</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...</td>\n",
       "      <td>0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...</td>\n",
       "      <td>15453534</td>\n",
       "      <td>0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...</td>\n",
       "      <td>225</td>\n",
       "      <td>153</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0x684Ea7317b8692fBc3ba5DF5F8F7cceA0608FeAf</td>\n",
       "      <td>1</td>\n",
       "      <td>433557667605135699</td>\n",
       "      <td>0</td>\n",
       "      <td>420938260856818595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19455</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...</td>\n",
       "      <td>15453542</td>\n",
       "      <td>0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...</td>\n",
       "      <td>421</td>\n",
       "      <td>357</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8</td>\n",
       "      <td>0</td>\n",
       "      <td>2900000000000000000</td>\n",
       "      <td>1</td>\n",
       "      <td>2984549486416737551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19456</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...</td>\n",
       "      <td>15453797</td>\n",
       "      <td>0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...</td>\n",
       "      <td>307</td>\n",
       "      <td>253</td>\n",
       "      <td>0.971284</td>\n",
       "      <td>0xDEF171Fe48CF0115B1d80b88dc8eAB59176FEe57</td>\n",
       "      <td>0</td>\n",
       "      <td>9646274524642794708</td>\n",
       "      <td>1</td>\n",
       "      <td>9927491091346153686</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19457 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          event_name                            contract_address  \\\n",
       "0      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "1      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "2      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "3      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "4      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "...              ...                                         ...   \n",
       "19452  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19453  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19454  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19455  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19456  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "\n",
       "                                         event_arguments  \\\n",
       "0      {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "1      {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "2      {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "3      {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "4      {'buyer': '0x0c43A4a20D2751DaFbB130024355E81df...   \n",
       "...                                                  ...   \n",
       "19452  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "19453  {'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...   \n",
       "19454  {'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...   \n",
       "19455  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "19456  {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "\n",
       "                                        transaction_hash  block_number  \\\n",
       "0      0xaca594c7fdb9f87a32c83fc3aa4b1fffed8056a20d80...      14805946   \n",
       "1      0xb82e4069e45e61b1de2c754cacf1ab1ccc40b17ce950...      14805949   \n",
       "2      0x982cc2acdb911583fbc1a02c76228da58c3eb1899cfa...      14805966   \n",
       "3      0xd02f4997b32c7d79d070ddb521505b66caf7188824f8...      14806016   \n",
       "4      0x6ad094d8e7ec75a03f4be1d6a68f5552d10f20e32b66...      14806057   \n",
       "...                                                  ...           ...   \n",
       "19452  0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...      15453273   \n",
       "19453  0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...      15453320   \n",
       "19454  0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...      15453534   \n",
       "19455  0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...      15453542   \n",
       "19456  0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...      15453797   \n",
       "\n",
       "                                              block_hash  log_index  \\\n",
       "0      0x757273111a679c3ad248424d5a1586244d9ec8baf940...        197   \n",
       "1      0xb58382ff1bf4cdadce1fc8297f7a98b71ca97d66e457...        246   \n",
       "2      0xc0744a04ee029e9547641e928179c01c9144ce991b4c...        156   \n",
       "3      0x724910de73edf4382516fd0573615bbdeb84b8a4f5a8...        215   \n",
       "4      0x5901063081873abec82682c0da7823e576e2a001436f...        242   \n",
       "...                                                  ...        ...   \n",
       "19452  0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...        316   \n",
       "19453  0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...        243   \n",
       "19454  0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...        225   \n",
       "19455  0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...        421   \n",
       "19456  0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...        307   \n",
       "\n",
       "       transaction_index  price (STETH/ETH)  \\\n",
       "0                     76           0.983072   \n",
       "1                    182           0.983020   \n",
       "2                    146           0.983020   \n",
       "3                    189           0.983021   \n",
       "4                    196           0.983021   \n",
       "...                  ...                ...   \n",
       "19452                271           0.971294   \n",
       "19453                258           0.971288   \n",
       "19454                153           0.971282   \n",
       "19455                357           0.971282   \n",
       "19456                253           0.971284   \n",
       "\n",
       "                                            buyer  sold_id  \\\n",
       "0      0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4        1   \n",
       "1      0xfA9a30350048B2BF66865ee20363067c66f67e58        1   \n",
       "2      0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4        1   \n",
       "3      0xfA9a30350048B2BF66865ee20363067c66f67e58        1   \n",
       "4      0x0c43A4a20D2751DaFbB130024355E81dff724d3a        1   \n",
       "...                                           ...      ...   \n",
       "19452  0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8        1   \n",
       "19453  0xFEf3C7aa6956D03dbad8959c59155c4A465DCacd        1   \n",
       "19454  0x684Ea7317b8692fBc3ba5DF5F8F7cceA0608FeAf        1   \n",
       "19455  0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8        0   \n",
       "19456  0xDEF171Fe48CF0115B1d80b88dc8eAB59176FEe57        0   \n",
       "\n",
       "                 tokens_sold  bought_id          tokens_bought  \n",
       "0      700000000000000000000          0  687875178355535745964  \n",
       "1       10000000000000000000          0    9826273826382007791  \n",
       "2         614070000000000000          0     603401523819156548  \n",
       "3        4350000000000000000          0    4274431391401509923  \n",
       "4        2661716510582147106          0    2615477797984023549  \n",
       "...                      ...        ...                    ...  \n",
       "19452    4271237846165710434          0    4146970008556619586  \n",
       "19453   38000000000000000000          0   36894174538661211189  \n",
       "19454     433557667605135699          0     420938260856818595  \n",
       "19455    2900000000000000000          1    2984549486416737551  \n",
       "19456    9646274524642794708          1    9927491091346153686  \n",
       "\n",
       "[19457 rows x 14 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query_swaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d175028b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_name</th>\n",
       "      <th>contract_address</th>\n",
       "      <th>event_arguments</th>\n",
       "      <th>transaction_hash</th>\n",
       "      <th>block_number</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>log_index</th>\n",
       "      <th>transaction_index</th>\n",
       "      <th>price (STETH/ETH)</th>\n",
       "      <th>buyer</th>\n",
       "      <th>sold_id</th>\n",
       "      <th>tokens_sold</th>\n",
       "      <th>bought_id</th>\n",
       "      <th>tokens_bought</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11331</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0xbaafb0dd80a49933313f5fae987331002fddd66ce398...</td>\n",
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       "      <td>0x3f0dafa8c0bc1f75da4b77185df4b5e72f82367ce714...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.962210</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>9999999999999999</td>\n",
       "      <td>0</td>\n",
       "      <td>9618254969587698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11332</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0x38ecea57eecc869cc4a62d96555f15ffe3136f32e06d...</td>\n",
       "      <td>15132124</td>\n",
       "      <td>0x97431fe5b1b89ff7dd6dd8c340ca44707052bbdf729f...</td>\n",
       "      <td>291</td>\n",
       "      <td>123</td>\n",
       "      <td>0.962220</td>\n",
       "      <td>0xfA9a30350048B2BF66865ee20363067c66f67e58</td>\n",
       "      <td>0</td>\n",
       "      <td>33697027127765331114</td>\n",
       "      <td>1</td>\n",
       "      <td>35006090866436268938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11333</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x0031130c56162e00A7e9C01eE4147b11c...</td>\n",
       "      <td>0xed21e5dc1f4099e247b0e815eb3874a7ff1d837d3a8e...</td>\n",
       "      <td>15132156</td>\n",
       "      <td>0x369ef5481d51a5d35c3e5fa176283314cdd284d829eb...</td>\n",
       "      <td>73</td>\n",
       "      <td>46</td>\n",
       "      <td>0.962230</td>\n",
       "      <td>0x0031130c56162e00A7e9C01eE4147b11cbac8776</td>\n",
       "      <td>0</td>\n",
       "      <td>2461328000000000000</td>\n",
       "      <td>1</td>\n",
       "      <td>2556919375120216623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11334</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0x7438e5f555766a7f549d93c98022e0c6484729fa8d9f...</td>\n",
       "      <td>15132176</td>\n",
       "      <td>0x7905d8a7692da709cb1f9deaed58d35b3e29fa956fae...</td>\n",
       "      <td>34</td>\n",
       "      <td>10</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11335</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0x722c4b153c4e33f1f5cbd0819d4847851d588d08184a...</td>\n",
       "      <td>15132179</td>\n",
       "      <td>0x8ec15d94c325e9e9552dc7f2c48e20f982ff5e694b3f...</td>\n",
       "      <td>40</td>\n",
       "      <td>24</td>\n",
       "      <td>0.962221</td>\n",
       "      <td>0xfA9a30350048B2BF66865ee20363067c66f67e58</td>\n",
       "      <td>1</td>\n",
       "      <td>35006090866436268938</td>\n",
       "      <td>0</td>\n",
       "      <td>33670122355004768780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11336</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x93Fa84f3102d45fC8e0721143c05b2c15...</td>\n",
       "      <td>0x510b3876226e4bc81ae5afeedc3754dffcd5842bbe1d...</td>\n",
       "      <td>15132219</td>\n",
       "      <td>0x57d3a5987fce344172cc3549db379419aff5745c1ccc...</td>\n",
       "      <td>323</td>\n",
       "      <td>144</td>\n",
       "      <td>0.962212</td>\n",
       "      <td>0x93Fa84f3102d45fC8e0721143c05b2c156026025</td>\n",
       "      <td>0</td>\n",
       "      <td>1300000000000000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1350513053366563254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11337</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0x56804547a6d74ac0152564a250aff84cea33b85ed53f...</td>\n",
       "      <td>15132225</td>\n",
       "      <td>0xc766211f83c2421824f805fd98f43bca867a03c63947...</td>\n",
       "      <td>62</td>\n",
       "      <td>8</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11338</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0x3356a73accd1729384e364750411036472c2b9ff5327...</td>\n",
       "      <td>15132229</td>\n",
       "      <td>0x368ab30333621f418f1f6634d737d72adb2f77421518...</td>\n",
       "      <td>58</td>\n",
       "      <td>12</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11339</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0xd6978029b6bb52e8b4ffae55ce8f5a2de8b652ef0a1f...</td>\n",
       "      <td>15132280</td>\n",
       "      <td>0xd3893a3097aadadfa9fea3fadad6f7bdd48c54c03f80...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11340</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0x93751a459ccb0838f4cfe07960e6afff4eeaf33facbe...</td>\n",
       "      <td>15132283</td>\n",
       "      <td>0x74c38343de39bd403e4c49b068e389068b21be043ef0...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11341</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0x9965822080d9a2289c9ecb72e742deeba0e5df310be4...</td>\n",
       "      <td>15132285</td>\n",
       "      <td>0x18f73cfe64524b30f3ca5cedb4f6310b24e8a5f34be8...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11342</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0x9b50dac650f0091aff2d956cbcdde04702a4914a2f60...</td>\n",
       "      <td>15132287</td>\n",
       "      <td>0x0213b636029a48c67572e289fa294af9fb8df921bd2d...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11343</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...</td>\n",
       "      <td>0x1485bca489d43349a141deebd2f3afc561d795aa04d4...</td>\n",
       "      <td>15132320</td>\n",
       "      <td>0xd63526030219fc21b0b53331027f8a2034313ee8769c...</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000400</td>\n",
       "      <td>0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11344</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x67bfb48da3932454bc219404db6ceb77b649be938e78...</td>\n",
       "      <td>15132329</td>\n",
       "      <td>0x99b1cdd57e4c8cfe3598fa4ec19f0420c7fba33771e7...</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>0.962106</td>\n",
       "      <td>0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8</td>\n",
       "      <td>1</td>\n",
       "      <td>400000000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>384688609984980420741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11345</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x8c5ab3a4c05c49e4931b1729aa80f75d747c9af93f3d...</td>\n",
       "      <td>15132367</td>\n",
       "      <td>0x6fe694dfa72cfebbe71617e59600d3cd6b6bd30993d9...</td>\n",
       "      <td>176</td>\n",
       "      <td>56</td>\n",
       "      <td>0.962001</td>\n",
       "      <td>0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8</td>\n",
       "      <td>0</td>\n",
       "      <td>2749205000000000000</td>\n",
       "      <td>1</td>\n",
       "      <td>2856655854053809321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11346</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x198E5Fb1b9A8Cf0B7AAC03E0d55427d43...</td>\n",
       "      <td>0x10f4cfb0c9a6e32ee99f09f2eb8bd8be424d1443b216...</td>\n",
       "      <td>15132371</td>\n",
       "      <td>0x49d183944e6f13c328e83b6c1cb89fdfaa3060d9410e...</td>\n",
       "      <td>719</td>\n",
       "      <td>249</td>\n",
       "      <td>0.962002</td>\n",
       "      <td>0x198E5Fb1b9A8Cf0B7AAC03E0d55427d431e4a111</td>\n",
       "      <td>0</td>\n",
       "      <td>486794713448949200</td>\n",
       "      <td>1</td>\n",
       "      <td>505820290826336577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11347</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xFeDaa17AC2Bd92fc715e3B2706B9F10A0...</td>\n",
       "      <td>0x0dc7ec65cb7ee108208683a1fc22cb9db84fd37f414c...</td>\n",
       "      <td>15132376</td>\n",
       "      <td>0x1634de442d205feb779f8951263a54681ffa94e100c6...</td>\n",
       "      <td>330</td>\n",
       "      <td>145</td>\n",
       "      <td>0.962002</td>\n",
       "      <td>0xFeDaa17AC2Bd92fc715e3B2706B9F10A0514d225</td>\n",
       "      <td>0</td>\n",
       "      <td>1500000000000000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1558624162035676942</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          event_name                            contract_address  \\\n",
       "11331  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11332  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11333  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11334  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11335  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11336  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11337  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11338  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11339  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11340  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11341  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11342  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11343  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11344  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11345  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11346  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "11347  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "\n",
       "                                         event_arguments  \\\n",
       "11331  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11332  {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "11333  {'buyer': '0x0031130c56162e00A7e9C01eE4147b11c...   \n",
       "11334  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11335  {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "11336  {'buyer': '0x93Fa84f3102d45fC8e0721143c05b2c15...   \n",
       "11337  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11338  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11339  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11340  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11341  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11342  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11343  {'buyer': '0x6A0Af71516690d9e85c579a3a18C76ac8...   \n",
       "11344  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "11345  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "11346  {'buyer': '0x198E5Fb1b9A8Cf0B7AAC03E0d55427d43...   \n",
       "11347  {'buyer': '0xFeDaa17AC2Bd92fc715e3B2706B9F10A0...   \n",
       "\n",
       "                                        transaction_hash  block_number  \\\n",
       "11331  0xbaafb0dd80a49933313f5fae987331002fddd66ce398...      15132106   \n",
       "11332  0x38ecea57eecc869cc4a62d96555f15ffe3136f32e06d...      15132124   \n",
       "11333  0xed21e5dc1f4099e247b0e815eb3874a7ff1d837d3a8e...      15132156   \n",
       "11334  0x7438e5f555766a7f549d93c98022e0c6484729fa8d9f...      15132176   \n",
       "11335  0x722c4b153c4e33f1f5cbd0819d4847851d588d08184a...      15132179   \n",
       "11336  0x510b3876226e4bc81ae5afeedc3754dffcd5842bbe1d...      15132219   \n",
       "11337  0x56804547a6d74ac0152564a250aff84cea33b85ed53f...      15132225   \n",
       "11338  0x3356a73accd1729384e364750411036472c2b9ff5327...      15132229   \n",
       "11339  0xd6978029b6bb52e8b4ffae55ce8f5a2de8b652ef0a1f...      15132280   \n",
       "11340  0x93751a459ccb0838f4cfe07960e6afff4eeaf33facbe...      15132283   \n",
       "11341  0x9965822080d9a2289c9ecb72e742deeba0e5df310be4...      15132285   \n",
       "11342  0x9b50dac650f0091aff2d956cbcdde04702a4914a2f60...      15132287   \n",
       "11343  0x1485bca489d43349a141deebd2f3afc561d795aa04d4...      15132320   \n",
       "11344  0x67bfb48da3932454bc219404db6ceb77b649be938e78...      15132329   \n",
       "11345  0x8c5ab3a4c05c49e4931b1729aa80f75d747c9af93f3d...      15132367   \n",
       "11346  0x10f4cfb0c9a6e32ee99f09f2eb8bd8be424d1443b216...      15132371   \n",
       "11347  0x0dc7ec65cb7ee108208683a1fc22cb9db84fd37f414c...      15132376   \n",
       "\n",
       "                                              block_hash  log_index  \\\n",
       "11331  0x3f0dafa8c0bc1f75da4b77185df4b5e72f82367ce714...          6   \n",
       "11332  0x97431fe5b1b89ff7dd6dd8c340ca44707052bbdf729f...        291   \n",
       "11333  0x369ef5481d51a5d35c3e5fa176283314cdd284d829eb...         73   \n",
       "11334  0x7905d8a7692da709cb1f9deaed58d35b3e29fa956fae...         34   \n",
       "11335  0x8ec15d94c325e9e9552dc7f2c48e20f982ff5e694b3f...         40   \n",
       "11336  0x57d3a5987fce344172cc3549db379419aff5745c1ccc...        323   \n",
       "11337  0xc766211f83c2421824f805fd98f43bca867a03c63947...         62   \n",
       "11338  0x368ab30333621f418f1f6634d737d72adb2f77421518...         58   \n",
       "11339  0xd3893a3097aadadfa9fea3fadad6f7bdd48c54c03f80...          6   \n",
       "11340  0x74c38343de39bd403e4c49b068e389068b21be043ef0...          6   \n",
       "11341  0x18f73cfe64524b30f3ca5cedb4f6310b24e8a5f34be8...          6   \n",
       "11342  0x0213b636029a48c67572e289fa294af9fb8df921bd2d...          6   \n",
       "11343  0xd63526030219fc21b0b53331027f8a2034313ee8769c...         16   \n",
       "11344  0x99b1cdd57e4c8cfe3598fa4ec19f0420c7fba33771e7...         32   \n",
       "11345  0x6fe694dfa72cfebbe71617e59600d3cd6b6bd30993d9...        176   \n",
       "11346  0x49d183944e6f13c328e83b6c1cb89fdfaa3060d9410e...        719   \n",
       "11347  0x1634de442d205feb779f8951263a54681ffa94e100c6...        330   \n",
       "\n",
       "       transaction_index  price (STETH/ETH)  \\\n",
       "11331                  1           0.962210   \n",
       "11332                123           0.962220   \n",
       "11333                 46           0.962230   \n",
       "11334                 10           1.000400   \n",
       "11335                 24           0.962221   \n",
       "11336                144           0.962212   \n",
       "11337                  8           1.000400   \n",
       "11338                 12           1.000400   \n",
       "11339                  1           1.000400   \n",
       "11340                  1           1.000400   \n",
       "11341                  1           1.000400   \n",
       "11342                  1           1.000400   \n",
       "11343                  2           1.000400   \n",
       "11344                  2           0.962106   \n",
       "11345                 56           0.962001   \n",
       "11346                249           0.962002   \n",
       "11347                145           0.962002   \n",
       "\n",
       "                                            buyer  sold_id  \\\n",
       "11331  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11332  0xfA9a30350048B2BF66865ee20363067c66f67e58        0   \n",
       "11333  0x0031130c56162e00A7e9C01eE4147b11cbac8776        0   \n",
       "11334  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11335  0xfA9a30350048B2BF66865ee20363067c66f67e58        1   \n",
       "11336  0x93Fa84f3102d45fC8e0721143c05b2c156026025        0   \n",
       "11337  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11338  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11339  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11340  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11341  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11342  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11343  0x6A0Af71516690d9e85c579a3a18C76ac8E33efD1        1   \n",
       "11344  0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8        1   \n",
       "11345  0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8        0   \n",
       "11346  0x198E5Fb1b9A8Cf0B7AAC03E0d55427d431e4a111        0   \n",
       "11347  0xFeDaa17AC2Bd92fc715e3B2706B9F10A0514d225        0   \n",
       "\n",
       "                 tokens_sold  bought_id          tokens_bought  \n",
       "11331       9999999999999999          0       9618254969587698  \n",
       "11332   33697027127765331114          1   35006090866436268938  \n",
       "11333    2461328000000000000          1    2556919375120216623  \n",
       "11334                      1          0                      1  \n",
       "11335   35006090866436268938          0   33670122355004768780  \n",
       "11336    1300000000000000000          1    1350513053366563254  \n",
       "11337                      1          0                      1  \n",
       "11338                      1          0                      1  \n",
       "11339                      1          0                      1  \n",
       "11340                      1          0                      1  \n",
       "11341                      1          0                      1  \n",
       "11342                      1          0                      1  \n",
       "11343                      1          0                      1  \n",
       "11344  400000000000000000000          0  384688609984980420741  \n",
       "11345    2749205000000000000          1    2856655854053809321  \n",
       "11346     486794713448949200          1     505820290826336577  \n",
       "11347    1500000000000000000          1    1558624162035676942  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now, check swaps where price spikes up to 1 between blocks 15132100 and 15132400\n",
    "query_swaps[(query_swaps['block_number'] > 15132100) & (query_swaps['block_number'] < 15132400)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e4b90a3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ahh, ok :) .. someones selling 1 wei into the pool (see e.g. block 15132225)\n",
    "# which is causing rounding issues for price calc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "20aa3340",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='block_number'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# are the dusting rounding issues also causing those spikes down to zero?\n",
    "# look at first spike down to 0\n",
    "query_swaps[(query_swaps['block_number'] > 14824600) & (query_swaps['block_number'] < 14825000)].plot(x='block_number', y='price (STETH/ETH)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "fb6fb625",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_name</th>\n",
       "      <th>contract_address</th>\n",
       "      <th>event_arguments</th>\n",
       "      <th>transaction_hash</th>\n",
       "      <th>block_number</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>log_index</th>\n",
       "      <th>transaction_index</th>\n",
       "      <th>price (STETH/ETH)</th>\n",
       "      <th>buyer</th>\n",
       "      <th>sold_id</th>\n",
       "      <th>tokens_sold</th>\n",
       "      <th>bought_id</th>\n",
       "      <th>tokens_bought</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x08CC4a936A24A278097FeB566Fccf71FF...</td>\n",
       "      <td>0xbefdc34be9f6d50dcf7d9692c834f2fcb750a7880a30...</td>\n",
       "      <td>14824621</td>\n",
       "      <td>0x10cf6cb3feb597dcaefdfa6fab3730491fea055a51b4...</td>\n",
       "      <td>236</td>\n",
       "      <td>204</td>\n",
       "      <td>0.975627</td>\n",
       "      <td>0x08CC4a936A24A278097FeB566Fccf71FFe84A833</td>\n",
       "      <td>0</td>\n",
       "      <td>2000000000000000000000</td>\n",
       "      <td>1</td>\n",
       "      <td>2049143953945768280377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0xe7a98e6b9dbdab7e4e169efbb8ba055a9f0a28da8587...</td>\n",
       "      <td>14824663</td>\n",
       "      <td>0xc07d6c8038fd4165fd07386037f0a63b56701b00e1d7...</td>\n",
       "      <td>66</td>\n",
       "      <td>60</td>\n",
       "      <td>0.975835</td>\n",
       "      <td>0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4</td>\n",
       "      <td>0</td>\n",
       "      <td>9669640333791112375</td>\n",
       "      <td>1</td>\n",
       "      <td>9905129894611176792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x27239549DD40E1D60F5B80B0C41969237...</td>\n",
       "      <td>0xebbe2cac6a8cea633f4ce13aecc6b3d402f0a53de0df...</td>\n",
       "      <td>14824714</td>\n",
       "      <td>0x090d8bfa4b34ab2e8670c488fdde86fa8c5caef4cbd4...</td>\n",
       "      <td>115</td>\n",
       "      <td>81</td>\n",
       "      <td>0.975836</td>\n",
       "      <td>0x27239549DD40E1D60F5B80B0C4196923745B1FD2</td>\n",
       "      <td>1</td>\n",
       "      <td>4393970000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4286080251138498473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0x6a1a41032f086a90520761d6444937ff73b3aea580c2...</td>\n",
       "      <td>14824787</td>\n",
       "      <td>0x2749b488383fe28bb2abeab7d111d8472e406c445803...</td>\n",
       "      <td>150</td>\n",
       "      <td>92</td>\n",
       "      <td>0.975836</td>\n",
       "      <td>0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4</td>\n",
       "      <td>1</td>\n",
       "      <td>1000730293446869257</td>\n",
       "      <td>0</td>\n",
       "      <td>976157742840268152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...</td>\n",
       "      <td>0xf97ecc3423d91b6f51e0f384518237b4c5439490f21f...</td>\n",
       "      <td>14824795</td>\n",
       "      <td>0x9038606c713de55bd5e65ed931117811e79820115ee7...</td>\n",
       "      <td>139</td>\n",
       "      <td>77</td>\n",
       "      <td>0.975836</td>\n",
       "      <td>0x22F9dCF4647084d6C31b2765F6910cd85C178C18</td>\n",
       "      <td>0</td>\n",
       "      <td>476594175496263493</td>\n",
       "      <td>1</td>\n",
       "      <td>488200580530122222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0xd3c3131024e6f4fb640f27a7a07513c44a4247ea663c...</td>\n",
       "      <td>14824820</td>\n",
       "      <td>0x0c7676c94dcc0bd3a33e55f1ae8bce51c723e1251f5d...</td>\n",
       "      <td>43</td>\n",
       "      <td>49</td>\n",
       "      <td>0.975835</td>\n",
       "      <td>0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4</td>\n",
       "      <td>1</td>\n",
       "      <td>10000000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>9754443750619738380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xEda584Ac4234113e977Bd172e6393F579...</td>\n",
       "      <td>0x953204aa910f21a8012789670728e410039a8f9840b6...</td>\n",
       "      <td>14824835</td>\n",
       "      <td>0xfdf144489b7e75244e22839ce1c8a398f7745a57a1c0...</td>\n",
       "      <td>397</td>\n",
       "      <td>246</td>\n",
       "      <td>0.975829</td>\n",
       "      <td>0xEda584Ac4234113e977Bd172e6393F579282b816</td>\n",
       "      <td>1</td>\n",
       "      <td>47870179539630044007</td>\n",
       "      <td>0</td>\n",
       "      <td>46694419191845003347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xEda584Ac4234113e977Bd172e6393F579...</td>\n",
       "      <td>0xb2c64c3e9722df4fbcd79662cd6746e069ae08f55242...</td>\n",
       "      <td>14824840</td>\n",
       "      <td>0xfc556897c82ced07979693ce76cd27b4565e78cb0959...</td>\n",
       "      <td>462</td>\n",
       "      <td>195</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0xEda584Ac4234113e977Bd172e6393F579282b816</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x27239549DD40E1D60F5B80B0C41969237...</td>\n",
       "      <td>0xc5de9e64196dff8dd176eece734d88b68e9f4e41cd1d...</td>\n",
       "      <td>14824850</td>\n",
       "      <td>0x1bc4068a1b8284a00ea135dc590d18744bf548a1c795...</td>\n",
       "      <td>84</td>\n",
       "      <td>43</td>\n",
       "      <td>0.975824</td>\n",
       "      <td>0x27239549DD40E1D60F5B80B0C4196923745B1FD2</td>\n",
       "      <td>0</td>\n",
       "      <td>1000000000000000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1024364849804104284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x11CE580B7D64Fb08F73161AA95835202a...</td>\n",
       "      <td>0xe0c2a35ae160788e8d1d73a5bf465279363581af043f...</td>\n",
       "      <td>14824871</td>\n",
       "      <td>0x0f6bf5cc06980ac2ef46f0a73831494c426c0c9b3336...</td>\n",
       "      <td>394</td>\n",
       "      <td>188</td>\n",
       "      <td>0.975824</td>\n",
       "      <td>0x11CE580B7D64Fb08F73161AA95835202ae1C9417</td>\n",
       "      <td>1</td>\n",
       "      <td>381485996253488127</td>\n",
       "      <td>0</td>\n",
       "      <td>372114382696495947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0x168a27738d7c005056eb7066cabf72139c7117bd31e0...</td>\n",
       "      <td>14824881</td>\n",
       "      <td>0x0ac25353128ab0b234a46d69c52794d1dde3bd6159d6...</td>\n",
       "      <td>124</td>\n",
       "      <td>79</td>\n",
       "      <td>0.975825</td>\n",
       "      <td>0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4</td>\n",
       "      <td>0</td>\n",
       "      <td>9988410555478815545</td>\n",
       "      <td>1</td>\n",
       "      <td>10231765617890507635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...</td>\n",
       "      <td>0xb0883f89889bea5205ec2496464afd7902b0b2fc7f4d...</td>\n",
       "      <td>14824926</td>\n",
       "      <td>0xd2a11519ace15f0f8aaab66c95439db218d8f4bd54ad...</td>\n",
       "      <td>361</td>\n",
       "      <td>210</td>\n",
       "      <td>0.975826</td>\n",
       "      <td>0x22F9dCF4647084d6C31b2765F6910cd85C178C18</td>\n",
       "      <td>1</td>\n",
       "      <td>700000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>682805110842010655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x0ea37B047B4D2F37cEF7bE3E6671Bf9CB...</td>\n",
       "      <td>0x4b70b93af843d6c73386196fbf6494c55b7d81e77887...</td>\n",
       "      <td>14824952</td>\n",
       "      <td>0x7c4533e872e0b51cd7ed090ed1762ad30fae7bfc85b5...</td>\n",
       "      <td>183</td>\n",
       "      <td>226</td>\n",
       "      <td>0.975826</td>\n",
       "      <td>0x0ea37B047B4D2F37cEF7bE3E6671Bf9CB85e2e5b</td>\n",
       "      <td>1</td>\n",
       "      <td>4077890328278097871</td>\n",
       "      <td>0</td>\n",
       "      <td>3977718553966826464</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        event_name                            contract_address  \\\n",
       "408  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "409  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "410  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "411  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "412  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "413  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "414  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "415  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "416  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "417  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "418  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "419  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "420  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "\n",
       "                                       event_arguments  \\\n",
       "408  {'buyer': '0x08CC4a936A24A278097FeB566Fccf71FF...   \n",
       "409  {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "410  {'buyer': '0x27239549DD40E1D60F5B80B0C41969237...   \n",
       "411  {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "412  {'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...   \n",
       "413  {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "414  {'buyer': '0xEda584Ac4234113e977Bd172e6393F579...   \n",
       "415  {'buyer': '0xEda584Ac4234113e977Bd172e6393F579...   \n",
       "416  {'buyer': '0x27239549DD40E1D60F5B80B0C41969237...   \n",
       "417  {'buyer': '0x11CE580B7D64Fb08F73161AA95835202a...   \n",
       "418  {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "419  {'buyer': '0x22F9dCF4647084d6C31b2765F6910cd85...   \n",
       "420  {'buyer': '0x0ea37B047B4D2F37cEF7bE3E6671Bf9CB...   \n",
       "\n",
       "                                      transaction_hash  block_number  \\\n",
       "408  0xbefdc34be9f6d50dcf7d9692c834f2fcb750a7880a30...      14824621   \n",
       "409  0xe7a98e6b9dbdab7e4e169efbb8ba055a9f0a28da8587...      14824663   \n",
       "410  0xebbe2cac6a8cea633f4ce13aecc6b3d402f0a53de0df...      14824714   \n",
       "411  0x6a1a41032f086a90520761d6444937ff73b3aea580c2...      14824787   \n",
       "412  0xf97ecc3423d91b6f51e0f384518237b4c5439490f21f...      14824795   \n",
       "413  0xd3c3131024e6f4fb640f27a7a07513c44a4247ea663c...      14824820   \n",
       "414  0x953204aa910f21a8012789670728e410039a8f9840b6...      14824835   \n",
       "415  0xb2c64c3e9722df4fbcd79662cd6746e069ae08f55242...      14824840   \n",
       "416  0xc5de9e64196dff8dd176eece734d88b68e9f4e41cd1d...      14824850   \n",
       "417  0xe0c2a35ae160788e8d1d73a5bf465279363581af043f...      14824871   \n",
       "418  0x168a27738d7c005056eb7066cabf72139c7117bd31e0...      14824881   \n",
       "419  0xb0883f89889bea5205ec2496464afd7902b0b2fc7f4d...      14824926   \n",
       "420  0x4b70b93af843d6c73386196fbf6494c55b7d81e77887...      14824952   \n",
       "\n",
       "                                            block_hash  log_index  \\\n",
       "408  0x10cf6cb3feb597dcaefdfa6fab3730491fea055a51b4...        236   \n",
       "409  0xc07d6c8038fd4165fd07386037f0a63b56701b00e1d7...         66   \n",
       "410  0x090d8bfa4b34ab2e8670c488fdde86fa8c5caef4cbd4...        115   \n",
       "411  0x2749b488383fe28bb2abeab7d111d8472e406c445803...        150   \n",
       "412  0x9038606c713de55bd5e65ed931117811e79820115ee7...        139   \n",
       "413  0x0c7676c94dcc0bd3a33e55f1ae8bce51c723e1251f5d...         43   \n",
       "414  0xfdf144489b7e75244e22839ce1c8a398f7745a57a1c0...        397   \n",
       "415  0xfc556897c82ced07979693ce76cd27b4565e78cb0959...        462   \n",
       "416  0x1bc4068a1b8284a00ea135dc590d18744bf548a1c795...         84   \n",
       "417  0x0f6bf5cc06980ac2ef46f0a73831494c426c0c9b3336...        394   \n",
       "418  0x0ac25353128ab0b234a46d69c52794d1dde3bd6159d6...        124   \n",
       "419  0xd2a11519ace15f0f8aaab66c95439db218d8f4bd54ad...        361   \n",
       "420  0x7c4533e872e0b51cd7ed090ed1762ad30fae7bfc85b5...        183   \n",
       "\n",
       "     transaction_index  price (STETH/ETH)  \\\n",
       "408                204           0.975627   \n",
       "409                 60           0.975835   \n",
       "410                 81           0.975836   \n",
       "411                 92           0.975836   \n",
       "412                 77           0.975836   \n",
       "413                 49           0.975835   \n",
       "414                246           0.975829   \n",
       "415                195           0.000000   \n",
       "416                 43           0.975824   \n",
       "417                188           0.975824   \n",
       "418                 79           0.975825   \n",
       "419                210           0.975826   \n",
       "420                226           0.975826   \n",
       "\n",
       "                                          buyer  sold_id  \\\n",
       "408  0x08CC4a936A24A278097FeB566Fccf71FFe84A833        0   \n",
       "409  0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4        0   \n",
       "410  0x27239549DD40E1D60F5B80B0C4196923745B1FD2        1   \n",
       "411  0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4        1   \n",
       "412  0x22F9dCF4647084d6C31b2765F6910cd85C178C18        0   \n",
       "413  0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4        1   \n",
       "414  0xEda584Ac4234113e977Bd172e6393F579282b816        1   \n",
       "415  0xEda584Ac4234113e977Bd172e6393F579282b816        1   \n",
       "416  0x27239549DD40E1D60F5B80B0C4196923745B1FD2        0   \n",
       "417  0x11CE580B7D64Fb08F73161AA95835202ae1C9417        1   \n",
       "418  0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4        0   \n",
       "419  0x22F9dCF4647084d6C31b2765F6910cd85C178C18        1   \n",
       "420  0x0ea37B047B4D2F37cEF7bE3E6671Bf9CB85e2e5b        1   \n",
       "\n",
       "                tokens_sold  bought_id           tokens_bought  \n",
       "408  2000000000000000000000          1  2049143953945768280377  \n",
       "409     9669640333791112375          1     9905129894611176792  \n",
       "410     4393970000000000000          0     4286080251138498473  \n",
       "411     1000730293446869257          0      976157742840268152  \n",
       "412      476594175496263493          1      488200580530122222  \n",
       "413    10000000000000000000          0     9754443750619738380  \n",
       "414    47870179539630044007          0    46694419191845003347  \n",
       "415                       1          0                       0  \n",
       "416     1000000000000000000          1     1024364849804104284  \n",
       "417      381485996253488127          0      372114382696495947  \n",
       "418     9988410555478815545          1    10231765617890507635  \n",
       "419      700000000000000000          0      682805110842010655  \n",
       "420     4077890328278097871          0     3977718553966826464  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# looks like it (see swap at block 14824840); similar rounding issues except rounded down to zero here\n",
    "query_swaps[(query_swaps['block_number'] > 14824600) & (query_swaps['block_number'] < 14825000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "3bdb0eef",
   "metadata": {},
   "outputs": [],
   "source": [
    "# apply min size to swaps we care about to ignore the dustings\n",
    "min_bought = 0.0001 * 1e18  # trade size must be > 0.0001 ETH \n",
    "query_swaps = query_swaps[query_swaps['tokens_bought'] > min_bought]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2103c9da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='block_number'>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# nice! way better\n",
    "query_swaps.plot(x='block_number', y='price (STETH/ETH)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b7e9c553",
   "metadata": {},
   "outputs": [],
   "source": [
    "# should smooth the price data out so not so jittery by averaging over 1h for hourly candles.\n",
    "# keep the volumes numbers as well, so make some slight changes to the (tokens_bought, tokens_sold)\n",
    "# columns to instead track (volume_coin0, volume_coin1) at each swap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "1e4b633a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# write a function that returns volume on coin indices for a swap (normalized by 1e18 for decimals)\n",
    "def get_volume(coin_index: int, x: pd.Series) -> (float, float):\n",
    "    volume = x['tokens_sold'] if x['sold_id'] == coin_index else x['tokens_bought']\n",
    "    volume = volume / 1e18\n",
    "    return volume"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "22a96898",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "for coin_index in range(2):\n",
    "    key = f'volume_coin{coin_index}'\n",
    "    query_swaps[key] = query_swaps.apply(lambda x: get_volume(coin_index, x), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "7420b5bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_name</th>\n",
       "      <th>contract_address</th>\n",
       "      <th>event_arguments</th>\n",
       "      <th>transaction_hash</th>\n",
       "      <th>block_number</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>log_index</th>\n",
       "      <th>transaction_index</th>\n",
       "      <th>price (STETH/ETH)</th>\n",
       "      <th>buyer</th>\n",
       "      <th>sold_id</th>\n",
       "      <th>tokens_sold</th>\n",
       "      <th>bought_id</th>\n",
       "      <th>tokens_bought</th>\n",
       "      <th>volume_coin0</th>\n",
       "      <th>volume_coin1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0xaca594c7fdb9f87a32c83fc3aa4b1fffed8056a20d80...</td>\n",
       "      <td>14805946</td>\n",
       "      <td>0x757273111a679c3ad248424d5a1586244d9ec8baf940...</td>\n",
       "      <td>197</td>\n",
       "      <td>76</td>\n",
       "      <td>0.983072</td>\n",
       "      <td>0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4</td>\n",
       "      <td>1</td>\n",
       "      <td>700000000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>687875178355535745964</td>\n",
       "      <td>687.875178</td>\n",
       "      <td>700.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0xb82e4069e45e61b1de2c754cacf1ab1ccc40b17ce950...</td>\n",
       "      <td>14805949</td>\n",
       "      <td>0xb58382ff1bf4cdadce1fc8297f7a98b71ca97d66e457...</td>\n",
       "      <td>246</td>\n",
       "      <td>182</td>\n",
       "      <td>0.983020</td>\n",
       "      <td>0xfA9a30350048B2BF66865ee20363067c66f67e58</td>\n",
       "      <td>1</td>\n",
       "      <td>10000000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>9826273826382007791</td>\n",
       "      <td>9.826274</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...</td>\n",
       "      <td>0x982cc2acdb911583fbc1a02c76228da58c3eb1899cfa...</td>\n",
       "      <td>14805966</td>\n",
       "      <td>0xc0744a04ee029e9547641e928179c01c9144ce991b4c...</td>\n",
       "      <td>156</td>\n",
       "      <td>146</td>\n",
       "      <td>0.983020</td>\n",
       "      <td>0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4</td>\n",
       "      <td>1</td>\n",
       "      <td>614070000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>603401523819156548</td>\n",
       "      <td>0.603402</td>\n",
       "      <td>0.614070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xfA9a30350048B2BF66865ee20363067c6...</td>\n",
       "      <td>0xd02f4997b32c7d79d070ddb521505b66caf7188824f8...</td>\n",
       "      <td>14806016</td>\n",
       "      <td>0x724910de73edf4382516fd0573615bbdeb84b8a4f5a8...</td>\n",
       "      <td>215</td>\n",
       "      <td>189</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0xfA9a30350048B2BF66865ee20363067c66f67e58</td>\n",
       "      <td>1</td>\n",
       "      <td>4350000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>4274431391401509923</td>\n",
       "      <td>4.274431</td>\n",
       "      <td>4.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x0c43A4a20D2751DaFbB130024355E81df...</td>\n",
       "      <td>0x6ad094d8e7ec75a03f4be1d6a68f5552d10f20e32b66...</td>\n",
       "      <td>14806057</td>\n",
       "      <td>0x5901063081873abec82682c0da7823e576e2a001436f...</td>\n",
       "      <td>242</td>\n",
       "      <td>196</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0x0c43A4a20D2751DaFbB130024355E81dff724d3a</td>\n",
       "      <td>1</td>\n",
       "      <td>2661716510582147106</td>\n",
       "      <td>0</td>\n",
       "      <td>2615477797984023549</td>\n",
       "      <td>2.615478</td>\n",
       "      <td>2.661717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19452</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...</td>\n",
       "      <td>15453273</td>\n",
       "      <td>0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...</td>\n",
       "      <td>316</td>\n",
       "      <td>271</td>\n",
       "      <td>0.971294</td>\n",
       "      <td>0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8</td>\n",
       "      <td>1</td>\n",
       "      <td>4271237846165710434</td>\n",
       "      <td>0</td>\n",
       "      <td>4146970008556619586</td>\n",
       "      <td>4.146970</td>\n",
       "      <td>4.271238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19453</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...</td>\n",
       "      <td>0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...</td>\n",
       "      <td>15453320</td>\n",
       "      <td>0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...</td>\n",
       "      <td>243</td>\n",
       "      <td>258</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0xFEf3C7aa6956D03dbad8959c59155c4A465DCacd</td>\n",
       "      <td>1</td>\n",
       "      <td>38000000000000000000</td>\n",
       "      <td>0</td>\n",
       "      <td>36894174538661211189</td>\n",
       "      <td>36.894175</td>\n",
       "      <td>38.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19454</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...</td>\n",
       "      <td>0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...</td>\n",
       "      <td>15453534</td>\n",
       "      <td>0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...</td>\n",
       "      <td>225</td>\n",
       "      <td>153</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0x684Ea7317b8692fBc3ba5DF5F8F7cceA0608FeAf</td>\n",
       "      <td>1</td>\n",
       "      <td>433557667605135699</td>\n",
       "      <td>0</td>\n",
       "      <td>420938260856818595</td>\n",
       "      <td>0.420938</td>\n",
       "      <td>0.433558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19455</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...</td>\n",
       "      <td>0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...</td>\n",
       "      <td>15453542</td>\n",
       "      <td>0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...</td>\n",
       "      <td>421</td>\n",
       "      <td>357</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8</td>\n",
       "      <td>0</td>\n",
       "      <td>2900000000000000000</td>\n",
       "      <td>1</td>\n",
       "      <td>2984549486416737551</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>2.984549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19456</th>\n",
       "      <td>TokenExchange</td>\n",
       "      <td>0xDC24316b9AE028F1497c275EB9192a3Ea0f67022</td>\n",
       "      <td>{'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...</td>\n",
       "      <td>0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...</td>\n",
       "      <td>15453797</td>\n",
       "      <td>0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...</td>\n",
       "      <td>307</td>\n",
       "      <td>253</td>\n",
       "      <td>0.971284</td>\n",
       "      <td>0xDEF171Fe48CF0115B1d80b88dc8eAB59176FEe57</td>\n",
       "      <td>0</td>\n",
       "      <td>9646274524642794708</td>\n",
       "      <td>1</td>\n",
       "      <td>9927491091346153686</td>\n",
       "      <td>9.646275</td>\n",
       "      <td>9.927491</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19384 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          event_name                            contract_address  \\\n",
       "0      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "1      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "2      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "3      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "4      TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "...              ...                                         ...   \n",
       "19452  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19453  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19454  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19455  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "19456  TokenExchange  0xDC24316b9AE028F1497c275EB9192a3Ea0f67022   \n",
       "\n",
       "                                         event_arguments  \\\n",
       "0      {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "1      {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "2      {'buyer': '0x220bdA5c8994804Ac96ebe4DF184d25e5...   \n",
       "3      {'buyer': '0xfA9a30350048B2BF66865ee20363067c6...   \n",
       "4      {'buyer': '0x0c43A4a20D2751DaFbB130024355E81df...   \n",
       "...                                                  ...   \n",
       "19452  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "19453  {'buyer': '0xFEf3C7aa6956D03dbad8959c59155c4A4...   \n",
       "19454  {'buyer': '0x684Ea7317b8692fBc3ba5DF5F8F7cceA0...   \n",
       "19455  {'buyer': '0xF2F400C138F9fb900576263af0BC7fCde...   \n",
       "19456  {'buyer': '0xDEF171Fe48CF0115B1d80b88dc8eAB591...   \n",
       "\n",
       "                                        transaction_hash  block_number  \\\n",
       "0      0xaca594c7fdb9f87a32c83fc3aa4b1fffed8056a20d80...      14805946   \n",
       "1      0xb82e4069e45e61b1de2c754cacf1ab1ccc40b17ce950...      14805949   \n",
       "2      0x982cc2acdb911583fbc1a02c76228da58c3eb1899cfa...      14805966   \n",
       "3      0xd02f4997b32c7d79d070ddb521505b66caf7188824f8...      14806016   \n",
       "4      0x6ad094d8e7ec75a03f4be1d6a68f5552d10f20e32b66...      14806057   \n",
       "...                                                  ...           ...   \n",
       "19452  0xfbd9536fbf0828c437411e50fc8b3b0bd02fd19d5629...      15453273   \n",
       "19453  0x1e5b61c1729e0998258f6f2cd6fb3eca1ce581690ec8...      15453320   \n",
       "19454  0xd2ad62baafc358d84bf98d552ae321a639a4f86caeff...      15453534   \n",
       "19455  0x5ea10cbf5f3583cf74cf2c3e06abe1d3e00f36e5ff32...      15453542   \n",
       "19456  0xb7ec661e25f2bce1a111df009b7b49097629f6b012f9...      15453797   \n",
       "\n",
       "                                              block_hash  log_index  \\\n",
       "0      0x757273111a679c3ad248424d5a1586244d9ec8baf940...        197   \n",
       "1      0xb58382ff1bf4cdadce1fc8297f7a98b71ca97d66e457...        246   \n",
       "2      0xc0744a04ee029e9547641e928179c01c9144ce991b4c...        156   \n",
       "3      0x724910de73edf4382516fd0573615bbdeb84b8a4f5a8...        215   \n",
       "4      0x5901063081873abec82682c0da7823e576e2a001436f...        242   \n",
       "...                                                  ...        ...   \n",
       "19452  0x7e1dc601f2ca31ec40fbf90ca779cd85a79779798eaa...        316   \n",
       "19453  0xdf0872c92915dc8582bb38cad33a70c94e0b52449e1b...        243   \n",
       "19454  0x95ce49f01fbf1ced4431f398143e1e60d6289a758234...        225   \n",
       "19455  0x43964925c65e7a56f2d41ced6e1acda7dbc2b9394efa...        421   \n",
       "19456  0xa35a5db1202de6b2412f53e32c030189cb2224d1d235...        307   \n",
       "\n",
       "       transaction_index  price (STETH/ETH)  \\\n",
       "0                     76           0.983072   \n",
       "1                    182           0.983020   \n",
       "2                    146           0.983020   \n",
       "3                    189           0.983021   \n",
       "4                    196           0.983021   \n",
       "...                  ...                ...   \n",
       "19452                271           0.971294   \n",
       "19453                258           0.971288   \n",
       "19454                153           0.971282   \n",
       "19455                357           0.971282   \n",
       "19456                253           0.971284   \n",
       "\n",
       "                                            buyer  sold_id  \\\n",
       "0      0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4        1   \n",
       "1      0xfA9a30350048B2BF66865ee20363067c66f67e58        1   \n",
       "2      0x220bdA5c8994804Ac96ebe4DF184d25e5c2196D4        1   \n",
       "3      0xfA9a30350048B2BF66865ee20363067c66f67e58        1   \n",
       "4      0x0c43A4a20D2751DaFbB130024355E81dff724d3a        1   \n",
       "...                                           ...      ...   \n",
       "19452  0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8        1   \n",
       "19453  0xFEf3C7aa6956D03dbad8959c59155c4A465DCacd        1   \n",
       "19454  0x684Ea7317b8692fBc3ba5DF5F8F7cceA0608FeAf        1   \n",
       "19455  0xF2F400C138F9fb900576263af0BC7fCde2B1b8a8        0   \n",
       "19456  0xDEF171Fe48CF0115B1d80b88dc8eAB59176FEe57        0   \n",
       "\n",
       "                 tokens_sold  bought_id          tokens_bought  volume_coin0  \\\n",
       "0      700000000000000000000          0  687875178355535745964    687.875178   \n",
       "1       10000000000000000000          0    9826273826382007791      9.826274   \n",
       "2         614070000000000000          0     603401523819156548      0.603402   \n",
       "3        4350000000000000000          0    4274431391401509923      4.274431   \n",
       "4        2661716510582147106          0    2615477797984023549      2.615478   \n",
       "...                      ...        ...                    ...           ...   \n",
       "19452    4271237846165710434          0    4146970008556619586      4.146970   \n",
       "19453   38000000000000000000          0   36894174538661211189     36.894175   \n",
       "19454     433557667605135699          0     420938260856818595      0.420938   \n",
       "19455    2900000000000000000          1    2984549486416737551      2.900000   \n",
       "19456    9646274524642794708          1    9927491091346153686      9.646275   \n",
       "\n",
       "       volume_coin1  \n",
       "0        700.000000  \n",
       "1         10.000000  \n",
       "2          0.614070  \n",
       "3          4.350000  \n",
       "4          2.661717  \n",
       "...             ...  \n",
       "19452      4.271238  \n",
       "19453     38.000000  \n",
       "19454      0.433558  \n",
       "19455      2.984549  \n",
       "19456      9.927491  \n",
       "\n",
       "[19384 rows x 16 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query_swaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8d21ac2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# prep for smoothing by setting index to block number (choose last swap in block to represent price at block)\n",
    "query_swaps_filtered = query_swaps.filter(['block_number', 'price (STETH/ETH)', 'volume_coin0', 'volume_coin1']).drop_duplicates('block_number', keep='last')\n",
    "query_swaps_filtered = query_swaps_filtered.set_index('block_number')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "09a61518",
   "metadata": {},
   "outputs": [],
   "source": [
    "# reindex by block number (1 block steps) and ffill price values \n",
    "new_index = range(query_swaps_filtered.index.min(), query_swaps_filtered.index.max()+1)\n",
    "query_swaps_filtered = query_swaps_filtered.reindex(new_index).ffill()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "f175d460",
   "metadata": {},
   "outputs": [],
   "source": [
    "# separate data into windows of 260 blocks (~ 1h)\n",
    "# remove first (last_block - first_block) % window rows so even candle windows\n",
    "window = 260\n",
    "first_index = (query_swaps_filtered.index[-1] - query_swaps_filtered.index[0]) % window\n",
    "query_swaps_filtered = query_swaps_filtered[first_index:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "60225e2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"5\" halign=\"left\">price (STETH/ETH)</th>\n",
       "      <th>volume_coin0</th>\n",
       "      <th>volume_coin1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>first</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>last</th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>block_number</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14806137</th>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>13.916137</td>\n",
       "      <td>14.162162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14806397</th>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983575</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983531</td>\n",
       "      <td>0.983528</td>\n",
       "      <td>13372.529511</td>\n",
       "      <td>13594.004819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14806657</th>\n",
       "      <td>0.983531</td>\n",
       "      <td>0.983532</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983531</td>\n",
       "      <td>577.045459</td>\n",
       "      <td>586.743927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14806917</th>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983545</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983544</td>\n",
       "      <td>0.983537</td>\n",
       "      <td>23979.769115</td>\n",
       "      <td>24387.366945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14807177</th>\n",
       "      <td>0.983544</td>\n",
       "      <td>0.983628</td>\n",
       "      <td>0.983544</td>\n",
       "      <td>0.983607</td>\n",
       "      <td>0.983583</td>\n",
       "      <td>31196.883482</td>\n",
       "      <td>31731.104946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15452757</th>\n",
       "      <td>0.971359</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971359</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971362</td>\n",
       "      <td>327.123487</td>\n",
       "      <td>336.706041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15453017</th>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971352</td>\n",
       "      <td>3004.501582</td>\n",
       "      <td>3094.317864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15453277</th>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971322</td>\n",
       "      <td>6524.500335</td>\n",
       "      <td>6719.830485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15453537</th>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971286</td>\n",
       "      <td>6649.153876</td>\n",
       "      <td>6848.263321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15453797</th>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971284</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971284</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>522.946275</td>\n",
       "      <td>538.192750</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2492 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             price (STETH/ETH)                                          \\\n",
       "                         first       max       min      last      mean   \n",
       "block_number                                                             \n",
       "14806137              0.983021  0.983021  0.983021  0.983021  0.983021   \n",
       "14806397              0.983021  0.983575  0.983021  0.983531  0.983528   \n",
       "14806657              0.983531  0.983532  0.983530  0.983530  0.983531   \n",
       "14806917              0.983530  0.983545  0.983530  0.983544  0.983537   \n",
       "14807177              0.983544  0.983628  0.983544  0.983607  0.983583   \n",
       "...                        ...       ...       ...       ...       ...   \n",
       "15452757              0.971359  0.971364  0.971359  0.971364  0.971362   \n",
       "15453017              0.971364  0.971364  0.971350  0.971350  0.971352   \n",
       "15453277              0.971350  0.971350  0.971288  0.971288  0.971322   \n",
       "15453537              0.971288  0.971288  0.971282  0.971282  0.971286   \n",
       "15453797              0.971282  0.971284  0.971282  0.971284  0.971282   \n",
       "\n",
       "              volume_coin0  volume_coin1  \n",
       "                       sum           sum  \n",
       "block_number                              \n",
       "14806137         13.916137     14.162162  \n",
       "14806397      13372.529511  13594.004819  \n",
       "14806657        577.045459    586.743927  \n",
       "14806917      23979.769115  24387.366945  \n",
       "14807177      31196.883482  31731.104946  \n",
       "...                    ...           ...  \n",
       "15452757        327.123487    336.706041  \n",
       "15453017       3004.501582   3094.317864  \n",
       "15453277       6524.500335   6719.830485  \n",
       "15453537       6649.153876   6848.263321  \n",
       "15453797        522.946275    538.192750  \n",
       "\n",
       "[2492 rows x 7 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# smooth data using mean over 260 blocks for ~ 1h candles\n",
    "s = (query_swaps_filtered.index.to_series() / window).astype(int)\n",
    "query_swaps_candled = query_swaps_filtered.groupby(s).agg({'price (STETH/ETH)': ['first', 'max', 'min', 'last', 'mean'], 'volume_coin0': 'sum', 'volume_coin1': 'sum'}).set_index(s.index[::window])\n",
    "query_swaps_candled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "4d2cba1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='block_number'>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make some fancy plots w subplots ...\n",
    "fig, ax = plt.subplots(2, 1)\n",
    "query_swaps.plot(x='block_number', y='price (STETH/ETH)', ax=ax[0])\n",
    "query_swaps_candled['price (STETH/ETH)'].plot(y='mean', ax=ax[0], label='price (STETH/ETH) - 1H mean')\n",
    "query_swaps_candled['volume_coin0'].plot(y='sum', color='g', ax=ax[1], label='volume (ETH)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "13db0817",
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot the candles since that's dope :o"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e0e2664d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the timestamps every 24 candles (~ 24h) and interpolate the rest (SEE banteg gist again)\n",
    "# NOTE: include last block in index for interp to work properly\n",
    "T = 24\n",
    "blocks = query_swaps_candled.index[::24].to_list() + [query_swaps_candled.index[-1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "1fd0e66e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.55 s, sys: 64.9 ms, total: 1.61 s\n",
      "Wall time: 16.8 s\n"
     ]
    }
   ],
   "source": [
    "%time timestamps = [ chain.blocks[i].timestamp for i in blocks ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "002a577e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
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       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"5\" halign=\"left\">price (STETH/ETH)</th>\n",
       "      <th>volume_coin0</th>\n",
       "      <th>volume_coin1</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>first</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>last</th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "      <th>sum</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>block_number</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14806137</th>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>13.916137</td>\n",
       "      <td>14.162162</td>\n",
       "      <td>2022-05-19 17:09:54.000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14806397</th>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983575</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983531</td>\n",
       "      <td>0.983528</td>\n",
       "      <td>13372.529511</td>\n",
       "      <td>13594.004819</td>\n",
       "      <td>2022-05-19 18:10:33.875000064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14806657</th>\n",
       "      <td>0.983531</td>\n",
       "      <td>0.983532</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983531</td>\n",
       "      <td>577.045459</td>\n",
       "      <td>586.743927</td>\n",
       "      <td>2022-05-19 19:11:13.750000128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14806917</th>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983545</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983544</td>\n",
       "      <td>0.983537</td>\n",
       "      <td>23979.769115</td>\n",
       "      <td>24387.366945</td>\n",
       "      <td>2022-05-19 20:11:53.624999936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14807177</th>\n",
       "      <td>0.983544</td>\n",
       "      <td>0.983628</td>\n",
       "      <td>0.983544</td>\n",
       "      <td>0.983607</td>\n",
       "      <td>0.983583</td>\n",
       "      <td>31196.883482</td>\n",
       "      <td>31731.104946</td>\n",
       "      <td>2022-05-19 21:12:33.500000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15452757</th>\n",
       "      <td>0.971359</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971359</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971362</td>\n",
       "      <td>327.123487</td>\n",
       "      <td>336.706041</td>\n",
       "      <td>2022-09-01 12:04:52.578947328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15453017</th>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971352</td>\n",
       "      <td>3004.501582</td>\n",
       "      <td>3094.317864</td>\n",
       "      <td>2022-09-01 13:04:38.684210432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15453277</th>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971322</td>\n",
       "      <td>6524.500335</td>\n",
       "      <td>6719.830485</td>\n",
       "      <td>2022-09-01 14:04:24.789473792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15453537</th>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971286</td>\n",
       "      <td>6649.153876</td>\n",
       "      <td>6848.263321</td>\n",
       "      <td>2022-09-01 15:04:10.894736640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15453797</th>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971284</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971284</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>522.946275</td>\n",
       "      <td>538.192750</td>\n",
       "      <td>2022-09-01 16:03:57.000000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2492 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             price (STETH/ETH)                                          \\\n",
       "                         first       max       min      last      mean   \n",
       "block_number                                                             \n",
       "14806137              0.983021  0.983021  0.983021  0.983021  0.983021   \n",
       "14806397              0.983021  0.983575  0.983021  0.983531  0.983528   \n",
       "14806657              0.983531  0.983532  0.983530  0.983530  0.983531   \n",
       "14806917              0.983530  0.983545  0.983530  0.983544  0.983537   \n",
       "14807177              0.983544  0.983628  0.983544  0.983607  0.983583   \n",
       "...                        ...       ...       ...       ...       ...   \n",
       "15452757              0.971359  0.971364  0.971359  0.971364  0.971362   \n",
       "15453017              0.971364  0.971364  0.971350  0.971350  0.971352   \n",
       "15453277              0.971350  0.971350  0.971288  0.971288  0.971322   \n",
       "15453537              0.971288  0.971288  0.971282  0.971282  0.971286   \n",
       "15453797              0.971282  0.971284  0.971282  0.971284  0.971282   \n",
       "\n",
       "              volume_coin0  volume_coin1                     timestamp  \n",
       "                       sum           sum                                \n",
       "block_number                                                            \n",
       "14806137         13.916137     14.162162 2022-05-19 17:09:54.000000000  \n",
       "14806397      13372.529511  13594.004819 2022-05-19 18:10:33.875000064  \n",
       "14806657        577.045459    586.743927 2022-05-19 19:11:13.750000128  \n",
       "14806917      23979.769115  24387.366945 2022-05-19 20:11:53.624999936  \n",
       "14807177      31196.883482  31731.104946 2022-05-19 21:12:33.500000000  \n",
       "...                    ...           ...                           ...  \n",
       "15452757        327.123487    336.706041 2022-09-01 12:04:52.578947328  \n",
       "15453017       3004.501582   3094.317864 2022-09-01 13:04:38.684210432  \n",
       "15453277       6524.500335   6719.830485 2022-09-01 14:04:24.789473792  \n",
       "15453537       6649.153876   6848.263321 2022-09-01 15:04:10.894736640  \n",
       "15453797        522.946275    538.192750 2022-09-01 16:03:57.000000000  \n",
       "\n",
       "[2492 rows x 8 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query_swaps_candled['timestamp'] = pd.to_datetime(np.interp(query_swaps_candled.index, blocks, timestamps) * 1e9)\n",
    "query_swaps_candled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "48b85378",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-05-19 17:09:54.000000000</th>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>13.916137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-19 18:10:33.875000064</th>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983575</td>\n",
       "      <td>0.983021</td>\n",
       "      <td>0.983531</td>\n",
       "      <td>13372.529511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-19 19:11:13.750000128</th>\n",
       "      <td>0.983531</td>\n",
       "      <td>0.983532</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>577.045459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-19 20:11:53.624999936</th>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983545</td>\n",
       "      <td>0.983530</td>\n",
       "      <td>0.983544</td>\n",
       "      <td>23979.769115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-19 21:12:33.500000000</th>\n",
       "      <td>0.983544</td>\n",
       "      <td>0.983628</td>\n",
       "      <td>0.983544</td>\n",
       "      <td>0.983607</td>\n",
       "      <td>31196.883482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 12:04:52.578947328</th>\n",
       "      <td>0.971359</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971359</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>327.123487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 13:04:38.684210432</th>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971364</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>3004.501582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 14:04:24.789473792</th>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971350</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>6524.500335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 15:04:10.894736640</th>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971288</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>6649.153876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-09-01 16:03:57.000000000</th>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971284</td>\n",
       "      <td>0.971282</td>\n",
       "      <td>0.971284</td>\n",
       "      <td>522.946275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2492 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Open      High       Low     Close  \\\n",
       "Date                                                                    \n",
       "2022-05-19 17:09:54.000000000  0.983021  0.983021  0.983021  0.983021   \n",
       "2022-05-19 18:10:33.875000064  0.983021  0.983575  0.983021  0.983531   \n",
       "2022-05-19 19:11:13.750000128  0.983531  0.983532  0.983530  0.983530   \n",
       "2022-05-19 20:11:53.624999936  0.983530  0.983545  0.983530  0.983544   \n",
       "2022-05-19 21:12:33.500000000  0.983544  0.983628  0.983544  0.983607   \n",
       "...                                 ...       ...       ...       ...   \n",
       "2022-09-01 12:04:52.578947328  0.971359  0.971364  0.971359  0.971364   \n",
       "2022-09-01 13:04:38.684210432  0.971364  0.971364  0.971350  0.971350   \n",
       "2022-09-01 14:04:24.789473792  0.971350  0.971350  0.971288  0.971288   \n",
       "2022-09-01 15:04:10.894736640  0.971288  0.971288  0.971282  0.971282   \n",
       "2022-09-01 16:03:57.000000000  0.971282  0.971284  0.971282  0.971284   \n",
       "\n",
       "                                     Volume  \n",
       "Date                                         \n",
       "2022-05-19 17:09:54.000000000     13.916137  \n",
       "2022-05-19 18:10:33.875000064  13372.529511  \n",
       "2022-05-19 19:11:13.750000128    577.045459  \n",
       "2022-05-19 20:11:53.624999936  23979.769115  \n",
       "2022-05-19 21:12:33.500000000  31196.883482  \n",
       "...                                     ...  \n",
       "2022-09-01 12:04:52.578947328    327.123487  \n",
       "2022-09-01 13:04:38.684210432   3004.501582  \n",
       "2022-09-01 14:04:24.789473792   6524.500335  \n",
       "2022-09-01 15:04:10.894736640   6649.153876  \n",
       "2022-09-01 16:03:57.000000000    522.946275  \n",
       "\n",
       "[2492 rows x 5 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# put data into new df for ohlcv with 1h candles\n",
    "query_swaps_ohlcv = pd.DataFrame({\n",
    "    'Open': query_swaps_candled['price (STETH/ETH)']['first'],\n",
    "    'High': query_swaps_candled['price (STETH/ETH)']['max'],\n",
    "    'Low': query_swaps_candled['price (STETH/ETH)']['min'],\n",
    "    'Close': query_swaps_candled['price (STETH/ETH)']['last'],\n",
    "    'Volume': query_swaps_candled['volume_coin0']['sum'],\n",
    "    'Date': query_swaps_candled['timestamp']\n",
    "})\n",
    "query_swaps_ohlcv = query_swaps_ohlcv.set_index('Date')\n",
    "query_swaps_ohlcv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "9e2027a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# oooooo fancy :)\n",
    "mpf.plot(query_swaps_ohlcv, warn_too_much_data=2500, type='candle', mav=(10, 50, 200), volume=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "2031e0ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# look at june timeframe during liquidity crunch ...\n",
    "mpf.plot(query_swaps_ohlcv[(query_swaps_ohlcv.index > '2022-06-05') & (query_swaps_ohlcv.index < '2022-06-12')], warn_too_much_data=2500, mav=(10, 50), type='candle', volume=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e2639b14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(query_swaps_ohlcv[(query_swaps_ohlcv.index > '2022-06-09') & (query_swaps_ohlcv.index < '2022-06-12')], warn_too_much_data=2500, mav=(10), type='candle', volume=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9b7c73ef",
   "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": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}