DanielVF/Current Curve Earnings .ipynb

## Current Curve Earnings .ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "51c3c59d-95bd-4095-8f19-6b34a1ff9de3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "fca45cfd-7a9f-4192-97cb-fa3ea3bb4856",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>amount</th>\n",
       "      <th>time</th>\n",
       "      <th>seconds</th>\n",
       "      <th>est_weekly_eth</th>\n",
       "      <th>est_weekly_dollars</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blockno</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>17818452</th>\n",
       "      <td>1690872419</td>\n",
       "      <td>0.423194</td>\n",
       "      <td>2023-08-01 06:46:59</td>\n",
       "      <td>10596.0</td>\n",
       "      <td>24.155144</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
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       "      <td>2023-08-01 09:43:35</td>\n",
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       "      <td>64664.661903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17819993</th>\n",
       "      <td>1690890983</td>\n",
       "      <td>0.355247</td>\n",
       "      <td>2023-08-01 11:56:23</td>\n",
       "      <td>13776.0</td>\n",
       "      <td>15.596207</td>\n",
       "      <td>28852.982391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17821136</th>\n",
       "      <td>1690904759</td>\n",
       "      <td>0.595556</td>\n",
       "      <td>2023-08-01 15:45:59</td>\n",
       "      <td>13560.0</td>\n",
       "      <td>26.562842</td>\n",
       "      <td>49141.256957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17822259</th>\n",
       "      <td>1690918319</td>\n",
       "      <td>0.589020</td>\n",
       "      <td>2023-08-01 19:31:59</td>\n",
       "      <td>9444.0</td>\n",
       "      <td>37.721261</td>\n",
       "      <td>69784.333411</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",
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       "    <tr>\n",
       "      <th>17875682</th>\n",
       "      <td>1691563991</td>\n",
       "      <td>0.314443</td>\n",
       "      <td>2023-08-09 06:53:11</td>\n",
       "      <td>8280.0</td>\n",
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       "    <tr>\n",
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       "      <td>1691572271</td>\n",
       "      <td>0.440863</td>\n",
       "      <td>2023-08-09 09:11:11</td>\n",
       "      <td>7488.0</td>\n",
       "      <td>35.608171</td>\n",
       "      <td>65875.115862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17876987</th>\n",
       "      <td>1691579759</td>\n",
       "      <td>0.398785</td>\n",
       "      <td>2023-08-09 11:15:59</td>\n",
       "      <td>10740.0</td>\n",
       "      <td>22.456695</td>\n",
       "      <td>41544.885341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17877877</th>\n",
       "      <td>1691590499</td>\n",
       "      <td>0.574292</td>\n",
       "      <td>2023-08-09 14:14:59</td>\n",
       "      <td>12636.0</td>\n",
       "      <td>27.487466</td>\n",
       "      <td>50851.811457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>0.676176</td>\n",
       "      <td>2023-08-09 17:45:35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>97 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           timestamp    amount                time  seconds  est_weekly_eth  \\\n",
       "Blockno                                                                       \n",
       "17818452  1690872419  0.423194 2023-08-01 06:46:59  10596.0       24.155144   \n",
       "17819330  1690883015  0.460503 2023-08-01 09:43:35   7968.0       34.953871   \n",
       "17819993  1690890983  0.355247 2023-08-01 11:56:23  13776.0       15.596207   \n",
       "17821136  1690904759  0.595556 2023-08-01 15:45:59  13560.0       26.562842   \n",
       "17822259  1690918319  0.589020 2023-08-01 19:31:59   9444.0       37.721261   \n",
       "...              ...       ...                 ...      ...             ...   \n",
       "17875682  1691563991  0.314443 2023-08-09 06:53:11   8280.0       22.967993   \n",
       "17876368  1691572271  0.440863 2023-08-09 09:11:11   7488.0       35.608171   \n",
       "17876987  1691579759  0.398785 2023-08-09 11:15:59  10740.0       22.456695   \n",
       "17877877  1691590499  0.574292 2023-08-09 14:14:59  12636.0       27.487466   \n",
       "17878916  1691603135  0.676176 2023-08-09 17:45:35      NaN             NaN   \n",
       "\n",
       "          est_weekly_dollars  \n",
       "Blockno                       \n",
       "17818452        44687.017204  \n",
       "17819330        64664.661903  \n",
       "17819993        28852.982391  \n",
       "17821136        49141.256957  \n",
       "17822259        69784.333411  \n",
       "...                      ...  \n",
       "17875682        42490.787585  \n",
       "17876368        65875.115862  \n",
       "17876987        41544.885341  \n",
       "17877877        50851.811457  \n",
       "17878916                 NaN  \n",
       "\n",
       "[97 rows x 6 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HARVESTER = \"0xc0f42f73b8f01849a2dd99753524d4ba14317eb3\"\n",
    "ETH_USD = 1850\n",
    "\n",
    "\n",
    "data = pd.read_csv(\"export-address-token-0xc0f42f73b8f01849a2dd99753524d4ba14317eb3.csv\")\n",
    "data = data[data['To']==HARVESTER]\n",
    "\n",
    "\n",
    "grp = data.groupby(by=['Blockno'])\n",
    "data = pd.DataFrame({\n",
    "    'timestamp': grp.UnixTimestamp.first(),\n",
    "    'amount': grp.TokenValue.sum()\n",
    "})\n",
    "data['time'] = pd.to_datetime(data['timestamp'],unit='s')\n",
    "data['seconds'] = data.timestamp.diff(-1) * -1\n",
    "data['est_weekly_eth'] = (7 * 24 * 60 * 60) / data['seconds'] * data['amount']\n",
    "data['est_weekly_dollars'] = data['est_weekly_eth'] * ETH_USD\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "89ba5ef2-229d-4d89-a26b-841c499bfa5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1506c6fd0>]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 572,
       "width": 702
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "plt.xticks(rotation=90)\n",
    "plt.axhline(60000, color=\"grey\", linewidth=0.3)\n",
    "plt.axhline(50000, color=\"grey\", linewidth=0.3)\n",
    "plt.axhline(70000, color=\"grey\", linewidth=0.3)\n",
    "plt.step(data['time'], data['est_weekly_dollars'], where='pre')\n",
    "plt.plot(data['time'], data['est_weekly_dollars'].ewm(span=10).mean())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3317219-ecc6-4438-8f63-efa8b7f31e58",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}