Scam_tokens.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import http.client\n",
    "import json\n",
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data': {'EVM': {'DEXTradeByTokens': [{'Trade': {'Currency': {'Name': 'P E P E', 'SmartContract': '0x09b4747a8cb48e70cab82a46bf1027b792fbf9a9', 'Symbol': 'P E P E'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'UNKNOWN', 'SmartContract': '0xa0792d38d09c6de5b9fb59ff1e60055b6815a23c', 'Symbol': 'UNKNOWN'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'World Wide Web', 'SmartContract': '0xb672f45d230989ef2ec880fcfe51bb349fe16cb9', 'Symbol': '1994'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'PepePotterInu6900', 'SmartContract': '0x6755d358de51dddb43065bbb8b430bd4fd62b92d', 'Symbol': 'PPX'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'GOD FATHER', 'SmartContract': '0x02faa9db4d66d3cc1e0611078227db381539309c', 'Symbol': 'FATHER'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'xAI Grok', 'SmartContract': '0x5b8f9e8863f9c7b11992a7a71c0c111bf49a7efc', 'Symbol': 'GROK'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'DHL Moonbox', 'SmartContract': '0x7e1da3c5ba717e0309bc927d368dd04d2bcb6e9c', 'Symbol': 'DMOON'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'Squirrel Onion', 'SmartContract': '0x11cda5f4778df2575021f30b611f59ebf0eb8bc7', 'Symbol': 'белкалук'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'WojakOfWallStree3.0', 'SmartContract': '0xf151a7ad59319ed109c891d4acf906ba4123e65e', 'Symbol': 'STONKS'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'RonWeasleyTrumpZelda666Inu', 'SmartContract': '0x0c16a22a66cc354896570be6e914a68317f8b67a', 'Symbol': 'BNB'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'Military Pepe', 'SmartContract': '0x72b08353e67485bac9c16899b2648674ee1a4367', 'Symbol': 'mPEPE'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'HUmanity Tuesdays', 'SmartContract': '0x97be9bf1ce323da26b53a7d10ebcdf0088b18e09', 'Symbol': 'HUT'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'GROK Coin', 'SmartContract': '0x54201dd3f9802b0d2ba66cbcb2ac95165d42cd37', 'Symbol': 'GCOIN'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'Bombpop', 'SmartContract': '0xa520a6261515279a5f5c6995ae7be85c0b0f0cc8', 'Symbol': 'BPOP'}}, 'count': '99'}, {'Trade': {'Currency': {'Name': 'Genius AI', 'SmartContract': '0x61631b95861c29bed6dbc5a9d937fdcd3d1921f8', 'Symbol': 'GENIUS'}}, 'count': '99'}]}}}\n"
     ]
    }
   ],
   "source": [
    "conn = http.client.HTTPSConnection(\"streaming.bitquery.io\")\n",
    "payload = json.dumps({\n",
    "   \"query\": \"query MyQuery {\\n  EVM(dataset: combined, network: eth) {\\n    DEXTradeByTokens(\\n      limit: {count: 15}\\n      where: {Block: {Time: {after: \\\"2023-09-01T00:00:00Z\\\", before: \\\"2023-11-29T00:00:00Z\\\"}}, Trade: {Dex: {ProtocolName: {in: \\\"uniswap_v2\\\"}}}}\\n      orderBy: {descendingByField: \\\"count\\\"}\\n    ) {\\n      Trade {\\n        Currency {\\n          Name\\n          SmartContract\\n          Symbol\\n        }\\n      }\\n      count(selectWhere: {lt: \\\"100\\\"})\\n    }\\n  }\\n}\\n\",\n",
    "   \"variables\": \"{}\"\n",
    "})\n",
    "headers = {\n",
    "   'Content-Type': 'application/json',\n",
    "   'X-API-KEY': 'BQYdO11cbRp3kwtJsrLSTOHnuapbJL48'\n",
    "}\n",
    "conn.request(\"POST\", \"/graphql\", payload, headers)\n",
    "res = conn.getresponse()\n",
    "data = res.read()\n",
    "res = json.loads(data.decode(\"utf-8\"))\n",
    "print(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>count</th>\n",
       "      <th>Trade.Currency.Name</th>\n",
       "      <th>Trade.Currency.SmartContract</th>\n",
       "      <th>Trade.Currency.Symbol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>99</td>\n",
       "      <td>P E P E</td>\n",
       "      <td>0x09b4747a8cb48e70cab82a46bf1027b792fbf9a9</td>\n",
       "      <td>P E P E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>99</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>0xa0792d38d09c6de5b9fb59ff1e60055b6815a23c</td>\n",
       "      <td>UNKNOWN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>99</td>\n",
       "      <td>World Wide Web</td>\n",
       "      <td>0xb672f45d230989ef2ec880fcfe51bb349fe16cb9</td>\n",
       "      <td>1994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>99</td>\n",
       "      <td>PepePotterInu6900</td>\n",
       "      <td>0x6755d358de51dddb43065bbb8b430bd4fd62b92d</td>\n",
       "      <td>PPX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>99</td>\n",
       "      <td>GOD FATHER</td>\n",
       "      <td>0x02faa9db4d66d3cc1e0611078227db381539309c</td>\n",
       "      <td>FATHER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>99</td>\n",
       "      <td>xAI Grok</td>\n",
       "      <td>0x5b8f9e8863f9c7b11992a7a71c0c111bf49a7efc</td>\n",
       "      <td>GROK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>99</td>\n",
       "      <td>DHL Moonbox</td>\n",
       "      <td>0x7e1da3c5ba717e0309bc927d368dd04d2bcb6e9c</td>\n",
       "      <td>DMOON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>99</td>\n",
       "      <td>Squirrel Onion</td>\n",
       "      <td>0x11cda5f4778df2575021f30b611f59ebf0eb8bc7</td>\n",
       "      <td>белкалук</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>99</td>\n",
       "      <td>WojakOfWallStree3.0</td>\n",
       "      <td>0xf151a7ad59319ed109c891d4acf906ba4123e65e</td>\n",
       "      <td>STONKS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>99</td>\n",
       "      <td>RonWeasleyTrumpZelda666Inu</td>\n",
       "      <td>0x0c16a22a66cc354896570be6e914a68317f8b67a</td>\n",
       "      <td>BNB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>99</td>\n",
       "      <td>Military Pepe</td>\n",
       "      <td>0x72b08353e67485bac9c16899b2648674ee1a4367</td>\n",
       "      <td>mPEPE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>99</td>\n",
       "      <td>HUmanity Tuesdays</td>\n",
       "      <td>0x97be9bf1ce323da26b53a7d10ebcdf0088b18e09</td>\n",
       "      <td>HUT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>99</td>\n",
       "      <td>GROK Coin</td>\n",
       "      <td>0x54201dd3f9802b0d2ba66cbcb2ac95165d42cd37</td>\n",
       "      <td>GCOIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>99</td>\n",
       "      <td>Bombpop</td>\n",
       "      <td>0xa520a6261515279a5f5c6995ae7be85c0b0f0cc8</td>\n",
       "      <td>BPOP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>99</td>\n",
       "      <td>Genius AI</td>\n",
       "      <td>0x61631b95861c29bed6dbc5a9d937fdcd3d1921f8</td>\n",
       "      <td>GENIUS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   count         Trade.Currency.Name  \\\n",
       "0     99                     P E P E   \n",
       "1     99                     UNKNOWN   \n",
       "2     99              World Wide Web   \n",
       "3     99           PepePotterInu6900   \n",
       "4     99                  GOD FATHER   \n",
       "5     99                    xAI Grok   \n",
       "6     99                 DHL Moonbox   \n",
       "7     99              Squirrel Onion   \n",
       "8     99         WojakOfWallStree3.0   \n",
       "9     99  RonWeasleyTrumpZelda666Inu   \n",
       "10    99               Military Pepe   \n",
       "11    99           HUmanity Tuesdays   \n",
       "12    99                   GROK Coin   \n",
       "13    99                     Bombpop   \n",
       "14    99                   Genius AI   \n",
       "\n",
       "                  Trade.Currency.SmartContract Trade.Currency.Symbol  \n",
       "0   0x09b4747a8cb48e70cab82a46bf1027b792fbf9a9               P E P E  \n",
       "1   0xa0792d38d09c6de5b9fb59ff1e60055b6815a23c               UNKNOWN  \n",
       "2   0xb672f45d230989ef2ec880fcfe51bb349fe16cb9                  1994  \n",
       "3   0x6755d358de51dddb43065bbb8b430bd4fd62b92d                   PPX  \n",
       "4   0x02faa9db4d66d3cc1e0611078227db381539309c                FATHER  \n",
       "5   0x5b8f9e8863f9c7b11992a7a71c0c111bf49a7efc                  GROK  \n",
       "6   0x7e1da3c5ba717e0309bc927d368dd04d2bcb6e9c                 DMOON  \n",
       "7   0x11cda5f4778df2575021f30b611f59ebf0eb8bc7              белкалук  \n",
       "8   0xf151a7ad59319ed109c891d4acf906ba4123e65e                STONKS  \n",
       "9   0x0c16a22a66cc354896570be6e914a68317f8b67a                   BNB  \n",
       "10  0x72b08353e67485bac9c16899b2648674ee1a4367                 mPEPE  \n",
       "11  0x97be9bf1ce323da26b53a7d10ebcdf0088b18e09                   HUT  \n",
       "12  0x54201dd3f9802b0d2ba66cbcb2ac95165d42cd37                 GCOIN  \n",
       "13  0xa520a6261515279a5f5c6995ae7be85c0b0f0cc8                  BPOP  \n",
       "14  0x61631b95861c29bed6dbc5a9d937fdcd3d1921f8                GENIUS  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.json_normalize(res['data']['EVM']['DEXTradeByTokens'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize= (7,7))\n",
    "plt.pie(df['count'], labels =  df['Trade.Currency.Symbol'])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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