EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "de37e246",
   "metadata": {},
   "source": [
    "# 1. Setup Binance Account\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8eea9828",
   "metadata": {},
   "outputs": [],
   "source": [
    "apikey = 'YOURAPIKEY'\n",
    "secret = 'YOURSECRET'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "985555aa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: python-binance in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (1.0.16)\n",
      "Requirement already satisfied: pandas in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (1.4.3)\n",
      "Requirement already satisfied: mplfinance in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (0.12.9b1)\n",
      "Requirement already satisfied: six in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from python-binance) (1.16.0)\n",
      "Requirement already satisfied: requests in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from python-binance) (2.28.1)\n",
      "Requirement already satisfied: ujson in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from python-binance) (5.4.0)\n",
      "Requirement already satisfied: aiohttp in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from python-binance) (3.8.1)\n",
      "Requirement already satisfied: websockets in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from python-binance) (10.3)\n",
      "Requirement already satisfied: dateparser in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from python-binance) (1.1.1)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: numpy>=1.21.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from pandas) (1.23.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from pandas) (2022.2.1)\n",
      "Requirement already satisfied: matplotlib in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from mplfinance) (3.5.3)\n",
      "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from aiohttp->python-binance) (2.1.0)\n",
      "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from aiohttp->python-binance) (4.0.2)\n",
      "Requirement already satisfied: attrs>=17.3.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from aiohttp->python-binance) (22.1.0)\n",
      "Requirement already satisfied: frozenlist>=1.1.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from aiohttp->python-binance) (1.3.1)\n",
      "Requirement already satisfied: yarl<2.0,>=1.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from aiohttp->python-binance) (1.8.1)\n",
      "Requirement already satisfied: multidict<7.0,>=4.5 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from aiohttp->python-binance) (6.0.2)\n",
      "Requirement already satisfied: aiosignal>=1.1.2 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from aiohttp->python-binance) (1.2.0)\n",
      "Requirement already satisfied: regex!=2019.02.19,!=2021.8.27,<2022.3.15 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from dateparser->python-binance) (2022.3.2)\n",
      "Requirement already satisfied: tzlocal in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from dateparser->python-binance) (4.2)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->mplfinance) (3.0.9)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->mplfinance) (0.11.0)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->mplfinance) (9.2.0)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->mplfinance) (21.3)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->mplfinance) (1.4.4)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib->mplfinance) (4.35.0)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from requests->python-binance) (1.26.11)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from requests->python-binance) (3.3)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from requests->python-binance) (2022.6.15)\n",
      "Requirement already satisfied: tzdata in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from tzlocal->dateparser->python-binance) (2022.2)\n",
      "Requirement already satisfied: pytz-deprecation-shim in c:\\users\\asus\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from tzlocal->dateparser->python-binance) (0.1.0.post0)\n"
     ]
    }
   ],
   "source": [
    "!pip install python-binance pandas mplfinance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0ece5f47",
   "metadata": {},
   "outputs": [],
   "source": [
    "from binance import Client, ThreadedWebsocketManager, ThreadedDepthCacheManager\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8fb0967",
   "metadata": {},
   "source": [
    "# 2. Authenticate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4679ccb0",
   "metadata": {},
   "outputs": [],
   "source": [
    "client = Client(apikey, secret)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da02a1f7",
   "metadata": {},
   "source": [
    "# 3. Get Tickers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "964b87bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "tickers = client.get_all_tickers()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a51c19f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'symbol': 'ETHBTC', 'price': '0.07844900'},\n",
       " {'symbol': 'LTCBTC', 'price': '0.00255400'},\n",
       " {'symbol': 'BNBBTC', 'price': '0.01318100'},\n",
       " {'symbol': 'NEOBTC', 'price': '0.00046800'},\n",
       " {'symbol': 'QTUMETH', 'price': '0.00213000'},\n",
       " {'symbol': 'EOSETH', 'price': '0.00072500'},\n",
       " {'symbol': 'SNTETH', 'price': '0.00001816'},\n",
       " {'symbol': 'BNTETH', 'price': '0.00030700'},\n",
       " {'symbol': 'BCCBTC', 'price': '0.07908100'},\n",
       " {'symbol': 'GASBTC', 'price': '0.00012670'},\n",
       " {'symbol': 'BNBETH', 'price': '0.16790000'},\n",
       " {'symbol': 'BTCUSDT', 'price': '23898.07000000'},\n",
       " {'symbol': 'ETHUSDT', 'price': '1874.90000000'},\n",
       " {'symbol': 'HSRBTC', 'price': '0.00041400'},\n",
       " {'symbol': 'OAXETH', 'price': '0.00017780'},\n",
       " {'symbol': 'DNTETH', 'price': '0.00002801'},\n",
       " {'symbol': 'MCOETH', 'price': '0.00577200'},\n",
       " {'symbol': 'ICNETH', 'price': '0.00166300'},\n",
       " {'symbol': 'MCOBTC', 'price': '0.00021140'},\n",
       " {'symbol': 'WTCBTC', 'price': '0.00001249'},\n",
       " {'symbol': 'WTCETH', 'price': '0.00023700'},\n",
       " {'symbol': 'LRCBTC', 'price': '0.00001913'},\n",
       " {'symbol': 'LRCETH', 'price': '0.00024380'},\n",
       " {'symbol': 'QTUMBTC', 'price': '0.00016720'},\n",
       " {'symbol': 'YOYOBTC', 'price': '0.00000008'},\n",
       " {'symbol': 'OMGBTC', 'price': '0.00009490'},\n",
       " {'symbol': 'OMGETH', 'price': '0.00120700'},\n",
       " {'symbol': 'ZRXBTC', 'price': '0.00001511'},\n",
       " {'symbol': 'ZRXETH', 'price': '0.00019150'},\n",
       " {'symbol': 'STRATBTC', 'price': '0.00003085'},\n",
       " {'symbol': 'STRATETH', 'price': '0.00105300'},\n",
       " {'symbol': 'SNGLSBTC', 'price': '0.00000013'},\n",
       " {'symbol': 'SNGLSETH', 'price': '0.00005306'},\n",
       " {'symbol': 'BQXBTC', 'price': '0.00008703'},\n",
       " {'symbol': 'BQXETH', 'price': '0.00126350'},\n",
       " {'symbol': 'KNCBTC', 'price': '0.00006880'},\n",
       " {'symbol': 'KNCETH', 'price': '0.00087760'},\n",
       " {'symbol': 'FUNBTC', 'price': '0.00000029'},\n",
       " {'symbol': 'FUNETH', 'price': '0.00000446'},\n",
       " {'symbol': 'SNMBTC', 'price': '0.00000501'},\n",
       " {'symbol': 'SNMETH', 'price': '0.00004986'},\n",
       " {'symbol': 'NEOETH', 'price': '0.00596000'},\n",
       " {'symbol': 'IOTABTC', 'price': '0.00001417'},\n",
       " {'symbol': 'IOTAETH', 'price': '0.00018060'},\n",
       " {'symbol': 'LINKBTC', 'price': '0.00035580'},\n",
       " {'symbol': 'LINKETH', 'price': '0.00453400'},\n",
       " {'symbol': 'XVGBTC', 'price': '0.00000015'},\n",
       " {'symbol': 'XVGETH', 'price': '0.00000211'},\n",
       " {'symbol': 'SALTBTC', 'price': '0.00004250'},\n",
       " {'symbol': 'SALTETH', 'price': '0.00113800'},\n",
       " {'symbol': 'MDABTC', 'price': '0.00000382'},\n",
       " {'symbol': 'MDAETH', 'price': '0.00181150'},\n",
       " {'symbol': 'MTLBTC', 'price': '0.00005934'},\n",
       " {'symbol': 'MTLETH', 'price': '0.00075850'},\n",
       " {'symbol': 'SUBBTC', 'price': '0.00000457'},\n",
       " {'symbol': 'SUBETH', 'price': '0.00012334'},\n",
       " {'symbol': 'EOSBTC', 'price': '0.00005690'},\n",
       " {'symbol': 'SNTBTC', 'price': '0.00000142'},\n",
       " {'symbol': 'ETCETH', 'price': '0.02123000'},\n",
       " {'symbol': 'ETCBTC', 'price': '0.00166500'},\n",
       " {'symbol': 'MTHBTC', 'price': '0.00000023'},\n",
       " {'symbol': 'MTHETH', 'price': '0.00004135'},\n",
       " {'symbol': 'ENGBTC', 'price': '0.00006200'},\n",
       " {'symbol': 'ENGETH', 'price': '0.00186480'},\n",
       " {'symbol': 'DNTBTC', 'price': '0.00000228'},\n",
       " {'symbol': 'ZECBTC', 'price': '0.00317100'},\n",
       " {'symbol': 'ZECETH', 'price': '0.04032000'},\n",
       " {'symbol': 'BNTBTC', 'price': '0.00002416'},\n",
       " {'symbol': 'ASTBTC', 'price': '0.00000421'},\n",
       " {'symbol': 'ASTETH', 'price': '0.00006960'},\n",
       " {'symbol': 'DASHBTC', 'price': '0.00221000'},\n",
       " {'symbol': 'DASHETH', 'price': '0.02826000'},\n",
       " {'symbol': 'OAXBTC', 'price': '0.00000242'},\n",
       " {'symbol': 'ICNBTC', 'price': '0.00005742'},\n",
       " {'symbol': 'BTGBTC', 'price': '0.00122300'},\n",
       " {'symbol': 'BTGETH', 'price': '0.05274500'},\n",
       " {'symbol': 'EVXBTC', 'price': '0.00000274'},\n",
       " {'symbol': 'EVXETH', 'price': '0.00062490'},\n",
       " {'symbol': 'REQBTC', 'price': '0.00000562'},\n",
       " {'symbol': 'REQETH', 'price': '0.00004995'},\n",
       " {'symbol': 'VIBBTC', 'price': '0.00000070'},\n",
       " {'symbol': 'VIBETH', 'price': '0.00000889'},\n",
       " {'symbol': 'HSRETH', 'price': '0.01247400'},\n",
       " {'symbol': 'TRXBTC', 'price': '0.00000292'},\n",
       " {'symbol': 'TRXETH', 'price': '0.00003713'},\n",
       " {'symbol': 'POWRBTC', 'price': '0.00001108'},\n",
       " {'symbol': 'POWRETH', 'price': '0.00014190'},\n",
       " {'symbol': 'ARKBTC', 'price': '0.00002188'},\n",
       " {'symbol': 'ARKETH', 'price': '0.00104600'},\n",
       " {'symbol': 'YOYOETH', 'price': '0.00005828'},\n",
       " {'symbol': 'XRPBTC', 'price': '0.00001563'},\n",
       " {'symbol': 'XRPETH', 'price': '0.00019930'},\n",
       " {'symbol': 'MODBTC', 'price': '0.00004280'},\n",
       " {'symbol': 'MODETH', 'price': '0.00116700'},\n",
       " {'symbol': 'ENJBTC', 'price': '0.00002810'},\n",
       " {'symbol': 'ENJETH', 'price': '0.00035920'},\n",
       " {'symbol': 'STORJBTC', 'price': '0.00002911'},\n",
       " {'symbol': 'STORJETH', 'price': '0.00029910'},\n",
       " {'symbol': 'BNBUSDT', 'price': '314.90000000'},\n",
       " {'symbol': 'VENBNB', 'price': '0.14920000'},\n",
       " {'symbol': 'YOYOBNB', 'price': '0.00059800'},\n",
       " {'symbol': 'POWRBNB', 'price': '0.00385000'},\n",
       " {'symbol': 'VENBTC', 'price': '0.00013928'},\n",
       " {'symbol': 'VENETH', 'price': '0.00325194'},\n",
       " {'symbol': 'KMDBTC', 'price': '0.00001299'},\n",
       " {'symbol': 'KMDETH', 'price': '0.00020970'},\n",
       " {'symbol': 'NULSBNB', 'price': '0.01257000'},\n",
       " {'symbol': 'RCNBTC', 'price': '0.00000074'},\n",
       " {'symbol': 'RCNETH', 'price': '0.00037604'},\n",
       " {'symbol': 'RCNBNB', 'price': '0.00347300'},\n",
       " {'symbol': 'NULSBTC', 'price': '0.00000996'},\n",
       " {'symbol': 'NULSETH', 'price': '0.00051926'},\n",
       " {'symbol': 'RDNBTC', 'price': '0.00000447'},\n",
       " {'symbol': 'RDNETH', 'price': '0.00071530'},\n",
       " {'symbol': 'RDNBNB', 'price': '0.00623000'},\n",
       " {'symbol': 'XMRBTC', 'price': '0.00711300'},\n",
       " {'symbol': 'XMRETH', 'price': '0.09073000'},\n",
       " {'symbol': 'DLTBNB', 'price': '0.00240000'},\n",
       " {'symbol': 'WTCBNB', 'price': '0.00180500'},\n",
       " {'symbol': 'DLTBTC', 'price': '0.00000071'},\n",
       " {'symbol': 'DLTETH', 'price': '0.00016807'},\n",
       " {'symbol': 'AMBBTC', 'price': '0.00000038'},\n",
       " {'symbol': 'AMBETH', 'price': '0.00004100'},\n",
       " {'symbol': 'AMBBNB', 'price': '0.00068500'},\n",
       " {'symbol': 'BCCETH', 'price': '2.47246000'},\n",
       " {'symbol': 'BCCUSDT', 'price': '448.70000000'},\n",
       " {'symbol': 'BCCBNB', 'price': '54.29000000'},\n",
       " {'symbol': 'BATBTC', 'price': '0.00001789'},\n",
       " {'symbol': 'BATETH', 'price': '0.00022740'},\n",
       " {'symbol': 'BATBNB', 'price': '0.00183100'},\n",
       " {'symbol': 'BCPTBTC', 'price': '0.00000048'},\n",
       " {'symbol': 'BCPTETH', 'price': '0.00008181'},\n",
       " {'symbol': 'BCPTBNB', 'price': '0.00116200'},\n",
       " {'symbol': 'ARNBTC', 'price': '0.00000761'},\n",
       " {'symbol': 'ARNETH', 'price': '0.00029362'},\n",
       " {'symbol': 'GVTBTC', 'price': '0.00001792'},\n",
       " {'symbol': 'GVTETH', 'price': '0.00384600'},\n",
       " {'symbol': 'CDTBTC', 'price': '0.00000317'},\n",
       " {'symbol': 'CDTETH', 'price': '0.00005119'},\n",
       " {'symbol': 'GXSBTC', 'price': '0.00004581'},\n",
       " {'symbol': 'GXSETH', 'price': '0.00062460'},\n",
       " {'symbol': 'NEOUSDT', 'price': '11.17000000'},\n",
       " {'symbol': 'NEOBNB', 'price': '0.03550000'},\n",
       " {'symbol': 'POEBTC', 'price': '0.00000005'},\n",
       " {'symbol': 'POEETH', 'price': '0.00000664'},\n",
       " {'symbol': 'QSPBTC', 'price': '0.00000076'},\n",
       " {'symbol': 'QSPETH', 'price': '0.00002249'},\n",
       " {'symbol': 'QSPBNB', 'price': '0.00052350'},\n",
       " {'symbol': 'BTSBTC', 'price': '0.00000054'},\n",
       " {'symbol': 'BTSETH', 'price': '0.00009498'},\n",
       " {'symbol': 'BTSBNB', 'price': '0.00144800'},\n",
       " {'symbol': 'XZCBTC', 'price': '0.00013550'},\n",
       " {'symbol': 'XZCETH', 'price': '0.00310000'},\n",
       " {'symbol': 'XZCBNB', 'price': '0.26750000'},\n",
       " {'symbol': 'LSKBTC', 'price': '0.00005224'},\n",
       " {'symbol': 'LSKETH', 'price': '0.00066800'},\n",
       " {'symbol': 'LSKBNB', 'price': '0.06494000'},\n",
       " {'symbol': 'TNTBTC', 'price': '0.00000261'},\n",
       " {'symbol': 'TNTETH', 'price': '0.00000920'},\n",
       " {'symbol': 'FUELBTC', 'price': '0.00000026'},\n",
       " {'symbol': 'FUELETH', 'price': '0.00002221'},\n",
       " {'symbol': 'MANABTC', 'price': '0.00004329'},\n",
       " {'symbol': 'MANAETH', 'price': '0.00055120'},\n",
       " {'symbol': 'BCDBTC', 'price': '0.00001351'},\n",
       " {'symbol': 'BCDETH', 'price': '0.00251000'},\n",
       " {'symbol': 'DGDBTC', 'price': '0.00393100'},\n",
       " {'symbol': 'DGDETH', 'price': '0.19260000'},\n",
       " {'symbol': 'IOTABNB', 'price': '0.00107500'},\n",
       " {'symbol': 'ADXBTC', 'price': '0.00000791'},\n",
       " {'symbol': 'ADXETH', 'price': '0.00010060'},\n",
       " {'symbol': 'ADXBNB', 'price': '0.00492900'},\n",
       " {'symbol': 'ADABTC', 'price': '0.00002348'},\n",
       " {'symbol': 'ADAETH', 'price': '0.00029920'},\n",
       " {'symbol': 'PPTBTC', 'price': '0.00001855'},\n",
       " {'symbol': 'PPTETH', 'price': '0.00141000'},\n",
       " {'symbol': 'CMTBTC', 'price': '0.00000028'},\n",
       " {'symbol': 'CMTETH', 'price': '0.00000625'},\n",
       " {'symbol': 'CMTBNB', 'price': '0.00057700'},\n",
       " {'symbol': 'XLMBTC', 'price': '0.00000510'},\n",
       " {'symbol': 'XLMETH', 'price': '0.00006500'},\n",
       " {'symbol': 'XLMBNB', 'price': '0.00038590'},\n",
       " {'symbol': 'CNDBTC', 'price': '0.00000006'},\n",
       " {'symbol': 'CNDETH', 'price': '0.00002599'},\n",
       " {'symbol': 'CNDBNB', 'price': '0.00033990'},\n",
       " {'symbol': 'LENDBTC', 'price': '0.00004512'},\n",
       " {'symbol': 'LENDETH', 'price': '0.00137174'},\n",
       " {'symbol': 'WABIBTC', 'price': '0.00000232'},\n",
       " {'symbol': 'WABIETH', 'price': '0.00040308'},\n",
       " {'symbol': 'WABIBNB', 'price': '0.00024130'},\n",
       " {'symbol': 'LTCETH', 'price': '0.03256000'},\n",
       " {'symbol': 'LTCUSDT', 'price': '61.02000000'},\n",
       " {'symbol': 'LTCBNB', 'price': '0.19380000'},\n",
       " {'symbol': 'TNBBTC', 'price': '0.00000007'},\n",
       " {'symbol': 'TNBETH', 'price': '0.00000752'},\n",
       " {'symbol': 'WAVESBTC', 'price': '0.00024520'},\n",
       " {'symbol': 'WAVESETH', 'price': '0.00312500'},\n",
       " {'symbol': 'WAVESBNB', 'price': '0.01861000'},\n",
       " {'symbol': 'GTOBTC', 'price': '0.00000100'},\n",
       " {'symbol': 'GTOETH', 'price': '0.00003197'},\n",
       " {'symbol': 'GTOBNB', 'price': '0.00035200'},\n",
       " {'symbol': 'ICXBTC', 'price': '0.00001416'},\n",
       " {'symbol': 'ICXETH', 'price': '0.00018080'},\n",
       " {'symbol': 'ICXBNB', 'price': '0.00465400'},\n",
       " {'symbol': 'OSTBTC', 'price': '0.00000032'},\n",
       " {'symbol': 'OSTETH', 'price': '0.00000225'},\n",
       " {'symbol': 'OSTBNB', 'price': '0.00052500'},\n",
       " {'symbol': 'ELFBTC', 'price': '0.00000790'},\n",
       " {'symbol': 'ELFETH', 'price': '0.00010080'},\n",
       " {'symbol': 'AIONBTC', 'price': '0.00000199'},\n",
       " {'symbol': 'AIONETH', 'price': '0.00002645'},\n",
       " {'symbol': 'AIONBNB', 'price': '0.00261300'},\n",
       " {'symbol': 'NEBLBTC', 'price': '0.00002934'},\n",
       " {'symbol': 'NEBLBNB', 'price': '0.01356000'},\n",
       " {'symbol': 'BRDBTC', 'price': '0.00000127'},\n",
       " {'symbol': 'BRDETH', 'price': '0.00001688'},\n",
       " {'symbol': 'BRDBNB', 'price': '0.00247000'},\n",
       " {'symbol': 'MCOBNB', 'price': '0.26837000'},\n",
       " {'symbol': 'EDOBTC', 'price': '0.00005609'},\n",
       " {'symbol': 'EDOETH', 'price': '0.00226600'},\n",
       " {'symbol': 'WINGSBTC', 'price': '0.00001193'},\n",
       " {'symbol': 'WINGSETH', 'price': '0.00033460'},\n",
       " {'symbol': 'NAVBTC', 'price': '0.00000277'},\n",
       " {'symbol': 'NAVETH', 'price': '0.00011870'},\n",
       " {'symbol': 'NAVBNB', 'price': '0.00423700'},\n",
       " {'symbol': 'LUNBTC', 'price': '0.00008510'},\n",
       " {'symbol': 'LUNETH', 'price': '0.00489100'},\n",
       " {'symbol': 'TRIGBTC', 'price': '0.00001980'},\n",
       " {'symbol': 'TRIGETH', 'price': '0.00059400'},\n",
       " {'symbol': 'TRIGBNB', 'price': '0.01218000'},\n",
       " {'symbol': 'APPCBTC', 'price': '0.00000055'},\n",
       " {'symbol': 'APPCETH', 'price': '0.00014600'},\n",
       " {'symbol': 'APPCBNB', 'price': '0.00189100'},\n",
       " {'symbol': 'VIBEBTC', 'price': '0.00000042'},\n",
       " {'symbol': 'VIBEETH', 'price': '0.00005720'},\n",
       " {'symbol': 'RLCBTC', 'price': '0.00006053'},\n",
       " {'symbol': 'RLCETH', 'price': '0.00077300'},\n",
       " {'symbol': 'RLCBNB', 'price': '0.03344000'},\n",
       " {'symbol': 'INSBTC', 'price': '0.00000618'},\n",
       " {'symbol': 'INSETH', 'price': '0.00050100'},\n",
       " {'symbol': 'PIVXBTC', 'price': '0.00000703'},\n",
       " {'symbol': 'PIVXBNB', 'price': '0.01660000'},\n",
       " {'symbol': 'IOSTBTC', 'price': '0.00000065'},\n",
       " {'symbol': 'IOSTETH', 'price': '0.00000827'},\n",
       " {'symbol': 'CHATBTC', 'price': '0.00000195'},\n",
       " {'symbol': 'CHATETH', 'price': '0.00006585'},\n",
       " {'symbol': 'STEEMBTC', 'price': '0.00001132'},\n",
       " {'symbol': 'STEEMETH', 'price': '0.00014470'},\n",
       " {'symbol': 'STEEMBNB', 'price': '0.00448000'},\n",
       " {'symbol': 'NANOBTC', 'price': '0.00006280'},\n",
       " {'symbol': 'NANOETH', 'price': '0.00090500'},\n",
       " {'symbol': 'NANOBNB', 'price': '0.05589000'},\n",
       " {'symbol': 'VIABTC', 'price': '0.00000681'},\n",
       " {'symbol': 'VIAETH', 'price': '0.00085600'},\n",
       " {'symbol': 'VIABNB', 'price': '0.00958000'},\n",
       " {'symbol': 'BLZBTC', 'price': '0.00000395'},\n",
       " {'symbol': 'BLZETH', 'price': '0.00005031'},\n",
       " {'symbol': 'BLZBNB', 'price': '0.00062190'},\n",
       " {'symbol': 'AEBTC', 'price': '0.00000292'},\n",
       " {'symbol': 'AEETH', 'price': '0.00021900'},\n",
       " {'symbol': 'AEBNB', 'price': '0.00777000'},\n",
       " {'symbol': 'RPXBTC', 'price': '0.00000224'},\n",
       " {'symbol': 'RPXETH', 'price': '0.00005449'},\n",
       " {'symbol': 'RPXBNB', 'price': '0.00145700'},\n",
       " {'symbol': 'NCASHBTC', 'price': '0.00000005'},\n",
       " {'symbol': 'NCASHETH', 'price': '0.00000013'},\n",
       " {'symbol': 'NCASHBNB', 'price': '0.00006790'},\n",
       " {'symbol': 'POABTC', 'price': '0.00000041'},\n",
       " {'symbol': 'POAETH', 'price': '0.00004891'},\n",
       " {'symbol': 'POABNB', 'price': '0.00092100'},\n",
       " {'symbol': 'ZILBTC', 'price': '0.00000189'},\n",
       " {'symbol': 'ZILETH', 'price': '0.00002403'},\n",
       " {'symbol': 'ZILBNB', 'price': '0.00014290'},\n",
       " {'symbol': 'ONTBTC', 'price': '0.00001197'},\n",
       " {'symbol': 'ONTETH', 'price': '0.00015250'},\n",
       " {'symbol': 'ONTBNB', 'price': '0.00246200'},\n",
       " {'symbol': 'STORMBTC', 'price': '0.00000035'},\n",
       " {'symbol': 'STORMETH', 'price': '0.00001398'},\n",
       " {'symbol': 'STORMBNB', 'price': '0.00006550'},\n",
       " {'symbol': 'QTUMBNB', 'price': '0.09597000'},\n",
       " {'symbol': 'QTUMUSDT', 'price': '3.98700000'},\n",
       " {'symbol': 'XEMBTC', 'price': '0.00000215'},\n",
       " {'symbol': 'XEMETH', 'price': '0.00003593'},\n",
       " {'symbol': 'XEMBNB', 'price': '0.00244100'},\n",
       " {'symbol': 'WANBTC', 'price': '0.00000991'},\n",
       " {'symbol': 'WANETH', 'price': '0.00012610'},\n",
       " {'symbol': 'WANBNB', 'price': '0.00181000'},\n",
       " {'symbol': 'WPRBTC', 'price': '0.00000027'},\n",
       " {'symbol': 'WPRETH', 'price': '0.00004020'},\n",
       " {'symbol': 'QLCBTC', 'price': '0.00000035'},\n",
       " {'symbol': 'QLCETH', 'price': '0.00000603'},\n",
       " {'symbol': 'SYSBTC', 'price': '0.00000731'},\n",
       " {'symbol': 'SYSETH', 'price': '0.00011047'},\n",
       " {'symbol': 'SYSBNB', 'price': '0.00163500'},\n",
       " {'symbol': 'QLCBNB', 'price': '0.00092200'},\n",
       " {'symbol': 'GRSBTC', 'price': '0.00001649'},\n",
       " {'symbol': 'GRSETH', 'price': '0.00076455'},\n",
       " {'symbol': 'ADAUSDT', 'price': '0.56080000'},\n",
       " {'symbol': 'ADABNB', 'price': '0.00178100'},\n",
       " {'symbol': 'CLOAKBTC', 'price': '0.00015550'},\n",
       " {'symbol': 'CLOAKETH', 'price': '0.00414200'},\n",
       " {'symbol': 'GNTBTC', 'price': '0.00000678'},\n",
       " {'symbol': 'GNTETH', 'price': '0.00022071'},\n",
       " {'symbol': 'GNTBNB', 'price': '0.00243900'},\n",
       " {'symbol': 'LOOMBTC', 'price': '0.00000217'},\n",
       " {'symbol': 'LOOMETH', 'price': '0.00002774'},\n",
       " {'symbol': 'LOOMBNB', 'price': '0.00088500'},\n",
       " {'symbol': 'XRPUSDT', 'price': '0.37340000'},\n",
       " {'symbol': 'BCNBTC', 'price': '0.00000022'},\n",
       " {'symbol': 'BCNETH', 'price': '0.00000707'},\n",
       " {'symbol': 'BCNBNB', 'price': '0.00002000'},\n",
       " {'symbol': 'REPBTC', 'price': '0.00037730'},\n",
       " {'symbol': 'REPBNB', 'price': '0.44670000'},\n",
       " {'symbol': 'BTCTUSD', 'price': '23876.59000000'},\n",
       " {'symbol': 'TUSDBTC', 'price': '0.00025971'},\n",
       " {'symbol': 'ETHTUSD', 'price': '1873.67000000'},\n",
       " {'symbol': 'TUSDETH', 'price': '0.00762097'},\n",
       " {'symbol': 'TUSDBNB', 'price': '0.06777000'},\n",
       " {'symbol': 'ZENBTC', 'price': '0.00084700'},\n",
       " {'symbol': 'ZENETH', 'price': '0.01080000'},\n",
       " {'symbol': 'ZENBNB', 'price': '0.06420000'},\n",
       " {'symbol': 'SKYBTC', 'price': '0.00000829'},\n",
       " {'symbol': 'SKYETH', 'price': '0.00222000'},\n",
       " {'symbol': 'SKYBNB', 'price': '0.03022000'},\n",
       " {'symbol': 'EOSUSDT', 'price': '1.35900000'},\n",
       " {'symbol': 'EOSBNB', 'price': '0.00432000'},\n",
       " {'symbol': 'CVCBTC', 'price': '0.00000776'},\n",
       " {'symbol': 'CVCETH', 'price': '0.00009930'},\n",
       " {'symbol': 'CVCBNB', 'price': '0.00211200'},\n",
       " {'symbol': 'THETABTC', 'price': '0.00006050'},\n",
       " {'symbol': 'THETAETH', 'price': '0.00077200'},\n",
       " {'symbol': 'THETABNB', 'price': '0.00459000'},\n",
       " {'symbol': 'XRPBNB', 'price': '0.00118500'},\n",
       " {'symbol': 'TUSDUSDT', 'price': '1.00000000'},\n",
       " {'symbol': 'IOTAUSDT', 'price': '0.33820000'},\n",
       " {'symbol': 'XLMUSDT', 'price': '0.12180000'},\n",
       " {'symbol': 'IOTXBTC', 'price': '0.00000168'},\n",
       " {'symbol': 'IOTXETH', 'price': '0.00002130'},\n",
       " {'symbol': 'QKCBTC', 'price': '0.00000050'},\n",
       " {'symbol': 'QKCETH', 'price': '0.00000650'},\n",
       " {'symbol': 'AGIBTC', 'price': '0.00000668'},\n",
       " {'symbol': 'AGIETH', 'price': '0.00007363'},\n",
       " {'symbol': 'AGIBNB', 'price': '0.00077200'},\n",
       " {'symbol': 'NXSBTC', 'price': '0.00000284'},\n",
       " {'symbol': 'NXSETH', 'price': '0.00077300'},\n",
       " {'symbol': 'NXSBNB', 'price': '0.01087000'},\n",
       " {'symbol': 'ENJBNB', 'price': '0.00213600'},\n",
       " {'symbol': 'DATABTC', 'price': '0.00000161'},\n",
       " {'symbol': 'DATAETH', 'price': '0.00002047'},\n",
       " {'symbol': 'ONTUSDT', 'price': '0.28590000'},\n",
       " {'symbol': 'TRXBNB', 'price': '0.00022120'},\n",
       " {'symbol': 'TRXUSDT', 'price': '0.06959000'},\n",
       " {'symbol': 'ETCUSDT', 'price': '39.79000000'},\n",
       " {'symbol': 'ETCBNB', 'price': '0.12630000'},\n",
       " {'symbol': 'ICXUSDT', 'price': '0.33800000'},\n",
       " {'symbol': 'SCBTC', 'price': '0.00000017'},\n",
       " {'symbol': 'SCETH', 'price': '0.00000255'},\n",
       " {'symbol': 'NPXSBTC', 'price': '0.00000003'},\n",
       " {'symbol': 'NPXSETH', 'price': '0.00000345'},\n",
       " {'symbol': 'VENUSDT', 'price': '0.00010000'},\n",
       " {'symbol': 'KEYBTC', 'price': '0.00000013'},\n",
       " {'symbol': 'KEYETH', 'price': '0.00000268'},\n",
       " {'symbol': 'NASBTC', 'price': '0.00000228'},\n",
       " {'symbol': 'NASETH', 'price': '0.00004047'},\n",
       " {'symbol': 'NASBNB', 'price': '0.02337000'},\n",
       " {'symbol': 'MFTBTC', 'price': '0.00000008'},\n",
       " {'symbol': 'MFTETH', 'price': '0.00000309'},\n",
       " {'symbol': 'MFTBNB', 'price': '0.00001485'},\n",
       " {'symbol': 'DENTBTC', 'price': '0.00000004'},\n",
       " {'symbol': 'DENTETH', 'price': '0.00000064'},\n",
       " {'symbol': 'ARDRBTC', 'price': '0.00000515'},\n",
       " {'symbol': 'ARDRETH', 'price': '0.00018870'},\n",
       " {'symbol': 'ARDRBNB', 'price': '0.00316800'},\n",
       " {'symbol': 'NULSUSDT', 'price': '0.23760000'},\n",
       " {'symbol': 'HOTBTC', 'price': '0.00000002'},\n",
       " {'symbol': 'HOTETH', 'price': '0.00000140'},\n",
       " {'symbol': 'VETBTC', 'price': '0.00000129'},\n",
       " {'symbol': 'VETETH', 'price': '0.00001639'},\n",
       " {'symbol': 'VETUSDT', 'price': '0.03073000'},\n",
       " {'symbol': 'VETBNB', 'price': '0.00009760'},\n",
       " {'symbol': 'DOCKBTC', 'price': '0.00000103'},\n",
       " {'symbol': 'DOCKETH', 'price': '0.00003283'},\n",
       " {'symbol': 'POLYBTC', 'price': '0.00000989'},\n",
       " {'symbol': 'POLYBNB', 'price': '0.00145900'},\n",
       " {'symbol': 'PHXBTC', 'price': '0.00000180'},\n",
       " {'symbol': 'PHXETH', 'price': '0.00005617'},\n",
       " {'symbol': 'PHXBNB', 'price': '0.00045600'},\n",
       " {'symbol': 'HCBTC', 'price': '0.00002000'},\n",
       " {'symbol': 'HCETH', 'price': '0.00513400'},\n",
       " {'symbol': 'GOBTC', 'price': '0.00000043'},\n",
       " {'symbol': 'GOBNB', 'price': '0.00069230'},\n",
       " {'symbol': 'PAXBTC', 'price': '0.00025175'},\n",
       " {'symbol': 'PAXBNB', 'price': '0.20121000'},\n",
       " {'symbol': 'PAXUSDT', 'price': '0.99960000'},\n",
       " {'symbol': 'PAXETH', 'price': '0.00888047'},\n",
       " {'symbol': 'RVNBTC', 'price': '0.00000150'},\n",
       " {'symbol': 'DCRBTC', 'price': '0.00136900'},\n",
       " {'symbol': 'DCRBNB', 'price': '0.78100000'},\n",
       " {'symbol': 'USDCBNB', 'price': '0.21755000'},\n",
       " {'symbol': 'MITHBTC', 'price': '0.00000109'},\n",
       " {'symbol': 'MITHBNB', 'price': '0.00008430'},\n",
       " {'symbol': 'BCHABCBTC', 'price': '0.02933000'},\n",
       " {'symbol': 'BCHSVBTC', 'price': '0.01117900'},\n",
       " {'symbol': 'BCHABCUSDT', 'price': '220.08000000'},\n",
       " {'symbol': 'BCHSVUSDT', 'price': '58.90000000'},\n",
       " {'symbol': 'BNBPAX', 'price': '495.10000000'},\n",
       " {'symbol': 'BTCPAX', 'price': '51529.15000000'},\n",
       " {'symbol': 'ETHPAX', 'price': '3904.41000000'},\n",
       " {'symbol': 'XRPPAX', 'price': '0.88960000'},\n",
       " {'symbol': 'EOSPAX', 'price': '2.58450000'},\n",
       " {'symbol': 'XLMPAX', 'price': '0.04221000'},\n",
       " {'symbol': 'RENBTC', 'price': '0.00000686'},\n",
       " {'symbol': 'RENBNB', 'price': '0.00458500'},\n",
       " {'symbol': 'BNBTUSD', 'price': '314.70000000'},\n",
       " {'symbol': 'XRPTUSD', 'price': '0.37340000'},\n",
       " {'symbol': 'EOSTUSD', 'price': '4.11590000'},\n",
       " {'symbol': 'XLMTUSD', 'price': '0.06833000'},\n",
       " {'symbol': 'BNBUSDC', 'price': '315.00000000'},\n",
       " {'symbol': 'BTCUSDC', 'price': '23896.92000000'},\n",
       " {'symbol': 'ETHUSDC', 'price': '1874.64000000'},\n",
       " {'symbol': 'XRPUSDC', 'price': '0.37330000'},\n",
       " {'symbol': 'EOSUSDC', 'price': '1.36100000'},\n",
       " {'symbol': 'XLMUSDC', 'price': '0.04970000'},\n",
       " {'symbol': 'USDCUSDT', 'price': '1.00000000'},\n",
       " {'symbol': 'ADATUSD', 'price': '0.55700000'},\n",
       " {'symbol': 'TRXTUSD', 'price': '0.06959000'},\n",
       " {'symbol': 'NEOTUSD', 'price': '11.81800000'},\n",
       " {'symbol': 'TRXXRP', 'price': '0.18662000'},\n",
       " {'symbol': 'XZCXRP', 'price': '20.79200000'},\n",
       " {'symbol': 'PAXTUSD', 'price': '0.99950000'},\n",
       " {'symbol': 'USDCTUSD', 'price': '1.00000000'},\n",
       " {'symbol': 'USDCPAX', 'price': '1.00020000'},\n",
       " {'symbol': 'LINKUSDT', 'price': '8.49900000'},\n",
       " {'symbol': 'LINKTUSD', 'price': '28.87000000'},\n",
       " {'symbol': 'LINKPAX', 'price': '3.98340000'},\n",
       " {'symbol': 'LINKUSDC', 'price': '8.49600000'},\n",
       " {'symbol': 'WAVESUSDT', 'price': '5.85700000'},\n",
       " {'symbol': 'WAVESTUSD', 'price': '1.07200000'},\n",
       " {'symbol': 'WAVESPAX', 'price': '0.80290000'},\n",
       " {'symbol': 'WAVESUSDC', 'price': '1.20360000'},\n",
       " {'symbol': 'BCHABCTUSD', 'price': '220.20000000'},\n",
       " {'symbol': 'BCHABCPAX', 'price': '221.20000000'},\n",
       " {'symbol': 'BCHABCUSDC', 'price': '220.30000000'},\n",
       " {'symbol': 'BCHSVTUSD', 'price': '59.17000000'},\n",
       " {'symbol': 'BCHSVPAX', 'price': '58.18000000'},\n",
       " {'symbol': 'BCHSVUSDC', 'price': '57.50000000'},\n",
       " {'symbol': 'LTCTUSD', 'price': '150.10000000'},\n",
       " {'symbol': 'LTCPAX', 'price': '171.13000000'},\n",
       " {'symbol': 'LTCUSDC', 'price': '61.01000000'},\n",
       " {'symbol': 'TRXPAX', 'price': '0.07661000'},\n",
       " {'symbol': 'TRXUSDC', 'price': '0.06959000'},\n",
       " {'symbol': 'BTTBTC', 'price': '0.00000005'},\n",
       " {'symbol': 'BTTBNB', 'price': '0.00000573'},\n",
       " {'symbol': 'BTTUSDT', 'price': '0.00277700'},\n",
       " {'symbol': 'BNBUSDS', 'price': '22.27880000'},\n",
       " {'symbol': 'BTCUSDS', 'price': '9604.59000000'},\n",
       " {'symbol': 'USDSUSDT', 'price': '0.99680000'},\n",
       " {'symbol': 'USDSPAX', 'price': '1.00020000'},\n",
       " {'symbol': 'USDSTUSD', 'price': '1.00000000'},\n",
       " {'symbol': 'USDSUSDC', 'price': '1.00000000'},\n",
       " {'symbol': 'BTTPAX', 'price': '0.00038660'},\n",
       " {'symbol': 'BTTTUSD', 'price': '0.00277000'},\n",
       " {'symbol': 'BTTUSDC', 'price': '0.00277600'},\n",
       " {'symbol': 'ONGBNB', 'price': '0.00545000'},\n",
       " {'symbol': 'ONGBTC', 'price': '0.00001894'},\n",
       " {'symbol': 'ONGUSDT', 'price': '0.45280000'},\n",
       " {'symbol': 'HOTBNB', 'price': '0.00000862'},\n",
       " {'symbol': 'HOTUSDT', 'price': '0.00263600'},\n",
       " {'symbol': 'ZILUSDT', 'price': '0.04505000'},\n",
       " {'symbol': 'ZRXBNB', 'price': '0.01045000'},\n",
       " {'symbol': 'ZRXUSDT', 'price': '0.36020000'},\n",
       " {'symbol': 'FETBNB', 'price': '0.00034900'},\n",
       " {'symbol': 'FETBTC', 'price': '0.00000461'},\n",
       " {'symbol': 'FETUSDT', 'price': '0.11000000'},\n",
       " {'symbol': 'BATUSDT', 'price': '0.42740000'},\n",
       " {'symbol': 'XMRBNB', 'price': '0.54030000'},\n",
       " {'symbol': 'XMRUSDT', 'price': '170.00000000'},\n",
       " {'symbol': 'ZECBNB', 'price': '0.24210000'},\n",
       " {'symbol': 'ZECUSDT', 'price': '75.70000000'},\n",
       " {'symbol': 'ZECPAX', 'price': '42.10000000'},\n",
       " {'symbol': 'ZECTUSD', 'price': '51.48000000'},\n",
       " {'symbol': 'ZECUSDC', 'price': '76.60000000'},\n",
       " {'symbol': 'IOSTUSDT', 'price': '0.01557000'},\n",
       " {'symbol': 'CELRBNB', 'price': '0.00007996'},\n",
       " {'symbol': 'CELRBTC', 'price': '0.00000105'},\n",
       " {'symbol': 'CELRUSDT', 'price': '0.02511000'},\n",
       " {'symbol': 'ADAPAX', 'price': '0.03257000'},\n",
       " {'symbol': 'ADAUSDC', 'price': '0.56090000'},\n",
       " {'symbol': 'NEOPAX', 'price': '11.12200000'},\n",
       " {'symbol': 'NEOUSDC', 'price': '28.27000000'},\n",
       " {'symbol': 'DASHBNB', 'price': '0.16860000'},\n",
       " {'symbol': 'DASHUSDT', 'price': '52.70000000'},\n",
       " {'symbol': 'NANOUSDT', 'price': '2.22400000'},\n",
       " {'symbol': 'OMGBNB', 'price': '0.03938000'},\n",
       " {'symbol': 'OMGUSDT', 'price': '2.26800000'},\n",
       " {'symbol': 'THETAUSDT', 'price': '1.44600000'},\n",
       " {'symbol': 'ENJUSDT', 'price': '0.67200000'},\n",
       " {'symbol': 'MITHUSDT', 'price': '0.02616000'},\n",
       " {'symbol': 'MATICBNB', 'price': '0.00297400'},\n",
       " {'symbol': 'MATICBTC', 'price': '0.00003919'},\n",
       " {'symbol': 'MATICUSDT', 'price': '0.93660000'},\n",
       " {'symbol': 'ATOMBNB', 'price': '0.03625000'},\n",
       " {'symbol': 'ATOMBTC', 'price': '0.00047750'},\n",
       " {'symbol': 'ATOMUSDT', 'price': '11.41100000'},\n",
       " {'symbol': 'ATOMUSDC', 'price': '11.40400000'},\n",
       " {'symbol': 'ATOMPAX', 'price': '3.17800000'},\n",
       " {'symbol': 'ATOMTUSD', 'price': '2.59800000'},\n",
       " {'symbol': 'ETCUSDC', 'price': '4.71000000'},\n",
       " {'symbol': 'ETCPAX', 'price': '4.83800000'},\n",
       " {'symbol': 'ETCTUSD', 'price': '3.79500000'},\n",
       " {'symbol': 'BATUSDC', 'price': '0.63130000'},\n",
       " {'symbol': 'BATPAX', 'price': '0.25560000'},\n",
       " {'symbol': 'BATTUSD', 'price': '0.22220000'},\n",
       " {'symbol': 'PHBBNB', 'price': '0.00013700'},\n",
       " {'symbol': 'PHBBTC', 'price': '0.00000499'},\n",
       " {'symbol': 'PHBUSDC', 'price': '0.00587000'},\n",
       " {'symbol': 'PHBTUSD', 'price': '0.22900000'},\n",
       " {'symbol': 'PHBPAX', 'price': '0.00639000'},\n",
       " {'symbol': 'TFUELBNB', 'price': '0.00012590'},\n",
       " {'symbol': 'TFUELBTC', 'price': '0.00000299'},\n",
       " {'symbol': 'TFUELUSDT', 'price': '0.07150000'},\n",
       " {'symbol': 'TFUELUSDC', 'price': '0.00356500'},\n",
       " {'symbol': 'TFUELTUSD', 'price': '0.00307700'},\n",
       " {'symbol': 'TFUELPAX', 'price': '0.00348700'},\n",
       " {'symbol': 'ONEBNB', 'price': '0.00009480'},\n",
       " {'symbol': 'ONEBTC', 'price': '0.00000125'},\n",
       " {'symbol': 'ONEUSDT', 'price': '0.02998000'},\n",
       " {'symbol': 'ONETUSD', 'price': '0.00472000'},\n",
       " {'symbol': 'ONEPAX', 'price': '0.00496000'},\n",
       " {'symbol': 'ONEUSDC', 'price': '0.00520000'},\n",
       " {'symbol': 'FTMBNB', 'price': '0.00117240'},\n",
       " {'symbol': 'FTMBTC', 'price': '0.00001546'},\n",
       " {'symbol': 'FTMUSDT', 'price': '0.36930000'},\n",
       " {'symbol': 'FTMTUSD', 'price': '0.01095000'},\n",
       " {'symbol': 'FTMPAX', 'price': '0.01028000'},\n",
       " {'symbol': 'FTMUSDC', 'price': '0.01107000'},\n",
       " {'symbol': 'BTCBBTC', 'price': '1.00000000'},\n",
       " {'symbol': 'BCPTTUSD', 'price': '0.02606000'},\n",
       " {'symbol': 'BCPTPAX', 'price': '0.02761000'},\n",
       " {'symbol': 'BCPTUSDC', 'price': '0.02728000'},\n",
       " {'symbol': 'ALGOBNB', 'price': '0.00112100'},\n",
       " {'symbol': 'ALGOBTC', 'price': '0.00001478'},\n",
       " {'symbol': 'ALGOUSDT', 'price': '0.35300000'},\n",
       " {'symbol': 'ALGOTUSD', 'price': '1.01700000'},\n",
       " {'symbol': 'ALGOPAX', 'price': '0.20390000'},\n",
       " {'symbol': 'ALGOUSDC', 'price': '0.23800000'},\n",
       " {'symbol': 'USDSBUSDT', 'price': '0.99970000'},\n",
       " {'symbol': 'USDSBUSDS', 'price': '0.99990000'},\n",
       " {'symbol': 'GTOUSDT', 'price': '0.02387000'},\n",
       " {'symbol': 'GTOPAX', 'price': '0.01361000'},\n",
       " {'symbol': 'GTOTUSD', 'price': '0.01236000'},\n",
       " {'symbol': 'GTOUSDC', 'price': '0.01196000'},\n",
       " {'symbol': 'ERDBNB', 'price': '0.00083273'},\n",
       " {'symbol': 'ERDBTC', 'price': '0.00000168'},\n",
       " {'symbol': 'ERDUSDT', 'price': '0.01971000'},\n",
       " {'symbol': 'ERDPAX', 'price': '0.00125270'},\n",
       " {'symbol': 'ERDUSDC', 'price': '0.00135730'},\n",
       " {'symbol': 'DOGEBNB', 'price': '0.00015270'},\n",
       " {'symbol': 'DOGEBTC', 'price': '0.00000355'},\n",
       " {'symbol': 'DOGEUSDT', 'price': '0.08496000'},\n",
       " {'symbol': 'DOGEPAX', 'price': '0.00216820'},\n",
       " {'symbol': 'DOGEUSDC', 'price': '0.00212770'},\n",
       " {'symbol': 'DUSKBNB', 'price': '0.00118000'},\n",
       " {'symbol': 'DUSKBTC', 'price': '0.00000645'},\n",
       " {'symbol': 'DUSKUSDT', 'price': '0.15410000'},\n",
       " {'symbol': 'DUSKUSDC', 'price': '0.01790000'},\n",
       " {'symbol': 'DUSKPAX', 'price': '0.01890000'},\n",
       " {'symbol': 'BGBPUSDC', 'price': '1.39000000'},\n",
       " {'symbol': 'ANKRBNB', 'price': '0.00015900'},\n",
       " {'symbol': 'ANKRBTC', 'price': '0.00000210'},\n",
       " {'symbol': 'ANKRUSDT', 'price': '0.05026000'},\n",
       " {'symbol': 'ANKRTUSD', 'price': '0.00212800'},\n",
       " {'symbol': 'ANKRPAX', 'price': '0.00209300'},\n",
       " {'symbol': 'ANKRUSDC', 'price': '0.00209700'},\n",
       " {'symbol': 'ONTPAX', 'price': '0.84510000'},\n",
       " {'symbol': 'ONTUSDC', 'price': '0.57080000'},\n",
       " {'symbol': 'WINBNB', 'price': '0.00000046'},\n",
       " {'symbol': 'WINBTC', 'price': '0.00000001'},\n",
       " {'symbol': 'WINUSDT', 'price': '0.00014720'},\n",
       " {'symbol': 'WINUSDC', 'price': '0.00014730'},\n",
       " {'symbol': 'COSBNB', 'price': '0.00002654'},\n",
       " {'symbol': 'COSBTC', 'price': '0.00000035'},\n",
       " {'symbol': 'COSUSDT', 'price': '0.00836000'},\n",
       " {'symbol': 'TUSDBTUSD', 'price': '0.99750000'},\n",
       " {'symbol': 'NPXSUSDT', 'price': '0.00703010'},\n",
       " {'symbol': 'NPXSUSDC', 'price': '0.00017020'},\n",
       " {'symbol': 'COCOSBNB', 'price': '0.00249300'},\n",
       " {'symbol': 'COCOSBTC', 'price': '0.00000003'},\n",
       " {'symbol': 'COCOSUSDT', 'price': '0.78390000'},\n",
       " {'symbol': 'MTLUSDT', 'price': '1.41900000'},\n",
       " {'symbol': 'TOMOBNB', 'price': '0.03255000'},\n",
       " {'symbol': 'TOMOBTC', 'price': '0.00002600'},\n",
       " {'symbol': 'TOMOUSDT', 'price': '0.62200000'},\n",
       " {'symbol': 'TOMOUSDC', 'price': '0.36700000'},\n",
       " {'symbol': 'PERLBNB', 'price': '0.00007180'},\n",
       " {'symbol': 'PERLBTC', 'price': '0.00000105'},\n",
       " {'symbol': 'PERLUSDC', 'price': '0.02447000'},\n",
       " {'symbol': 'PERLUSDT', 'price': '0.02528000'},\n",
       " {'symbol': 'DENTUSDT', 'price': '0.00121300'},\n",
       " {'symbol': 'MFTUSDT', 'price': '0.00580600'},\n",
       " {'symbol': 'KEYUSDT', 'price': '0.00500900'},\n",
       " {'symbol': 'STORMUSDT', 'price': '0.00339700'},\n",
       " {'symbol': 'DOCKUSDT', 'price': '0.02446000'},\n",
       " {'symbol': 'WANUSDT', 'price': '0.23660000'},\n",
       " {'symbol': 'FUNUSDT', 'price': '0.00833000'},\n",
       " {'symbol': 'CVCUSDT', 'price': '0.18530000'},\n",
       " {'symbol': 'BTTTRX', 'price': '0.03945000'},\n",
       " {'symbol': 'WINTRX', 'price': '0.00211400'},\n",
       " {'symbol': 'CHZBNB', 'price': '0.00068330'},\n",
       " {'symbol': 'CHZBTC', 'price': '0.00000901'},\n",
       " {'symbol': 'CHZUSDT', 'price': '0.21520000'},\n",
       " {'symbol': 'BANDBNB', 'price': '0.02248000'},\n",
       " {'symbol': 'BANDBTC', 'price': '0.00007030'},\n",
       " {'symbol': 'BANDUSDT', 'price': '1.67900000'},\n",
       " {'symbol': 'BNBBUSD', 'price': '314.90000000'},\n",
       " {'symbol': 'BTCBUSD', 'price': '23897.41000000'},\n",
       " {'symbol': 'BUSDUSDT', 'price': '1.00000000'},\n",
       " {'symbol': 'BEAMBNB', 'price': '0.02177000'},\n",
       " {'symbol': 'BEAMBTC', 'price': '0.00000772'},\n",
       " {'symbol': 'BEAMUSDT', 'price': '0.18440000'},\n",
       " {'symbol': 'XTZBNB', 'price': '0.00604400'},\n",
       " {'symbol': 'XTZBTC', 'price': '0.00007902'},\n",
       " {'symbol': 'XTZUSDT', 'price': '1.88800000'},\n",
       " {'symbol': 'RENUSDT', 'price': '0.16370000'},\n",
       " {'symbol': 'RVNUSDT', 'price': '0.03603000'},\n",
       " {'symbol': 'HCUSDT', 'price': '0.84230000'},\n",
       " {'symbol': 'HBARBNB', 'price': '0.00024390'},\n",
       " {'symbol': 'HBARBTC', 'price': '0.00000321'},\n",
       " {'symbol': 'HBARUSDT', 'price': '0.07670000'},\n",
       " {'symbol': 'NKNBNB', 'price': '0.00074700'},\n",
       " {'symbol': 'NKNBTC', 'price': '0.00000480'},\n",
       " {'symbol': 'NKNUSDT', 'price': '0.11470000'},\n",
       " {'symbol': 'XRPBUSD', 'price': '0.37350000'},\n",
       " {'symbol': 'ETHBUSD', 'price': '1874.69000000'},\n",
       " {'symbol': 'BCHABCBUSD', 'price': '220.16000000'},\n",
       " {'symbol': 'LTCBUSD', 'price': '61.03000000'},\n",
       " {'symbol': 'LINKBUSD', 'price': '8.50100000'},\n",
       " {'symbol': 'ETCBUSD', 'price': '39.81000000'},\n",
       " {'symbol': 'STXBNB', 'price': '0.00150800'},\n",
       " {'symbol': 'STXBTC', 'price': '0.00001987'},\n",
       " {'symbol': 'STXUSDT', 'price': '0.47400000'},\n",
       " {'symbol': 'KAVABNB', 'price': '0.00676000'},\n",
       " {'symbol': 'KAVABTC', 'price': '0.00008890'},\n",
       " {'symbol': 'KAVAUSDT', 'price': '2.12900000'},\n",
       " {'symbol': 'BUSDNGN', 'price': '462.64000000'},\n",
       " {'symbol': 'BNBNGN', 'price': '43608.00000000'},\n",
       " {'symbol': 'BTCNGN', 'price': '25941597.00000000'},\n",
       " {'symbol': 'ARPABNB', 'price': '0.00013530'},\n",
       " {'symbol': 'ARPABTC', 'price': '0.00000178'},\n",
       " {'symbol': 'ARPAUSDT', 'price': '0.04258000'},\n",
       " {'symbol': 'TRXBUSD', 'price': '0.06961000'},\n",
       " {'symbol': 'EOSBUSD', 'price': '1.35800000'},\n",
       " {'symbol': 'IOTXUSDT', 'price': '0.03997000'},\n",
       " {'symbol': 'RLCUSDT', 'price': '1.44700000'},\n",
       " {'symbol': 'MCOUSDT', 'price': '2.74400000'},\n",
       " {'symbol': 'XLMBUSD', 'price': '0.12170000'},\n",
       " {'symbol': 'ADABUSD', 'price': '0.56080000'},\n",
       " {'symbol': 'CTXCBNB', 'price': '0.00412200'},\n",
       " {'symbol': 'CTXCBTC', 'price': '0.00000610'},\n",
       " {'symbol': 'CTXCUSDT', 'price': '0.14550000'},\n",
       " {'symbol': 'BCHBNB', 'price': '0.43400000'},\n",
       " {'symbol': 'BCHBTC', 'price': '0.00572000'},\n",
       " {'symbol': 'BCHUSDT', 'price': '136.50000000'},\n",
       " {'symbol': 'BCHUSDC', 'price': '136.90000000'},\n",
       " {'symbol': 'BCHTUSD', 'price': '630.00000000'},\n",
       " {'symbol': 'BCHPAX', 'price': '617.72000000'},\n",
       " {'symbol': 'BCHBUSD', 'price': '136.50000000'},\n",
       " {'symbol': 'BTCRUB', 'price': '1464136.00000000'},\n",
       " {'symbol': 'ETHRUB', 'price': '114855.50000000'},\n",
       " {'symbol': 'XRPRUB', 'price': '22.94000000'},\n",
       " {'symbol': 'BNBRUB', 'price': '19362.77000000'},\n",
       " {'symbol': 'TROYBNB', 'price': '0.00001515'},\n",
       " {'symbol': 'TROYBTC', 'price': '0.00000018'},\n",
       " {'symbol': 'TROYUSDT', 'price': '0.00475200'},\n",
       " {'symbol': 'BUSDRUB', 'price': '61.30000000'},\n",
       " {'symbol': 'QTUMBUSD', 'price': '4.00200000'},\n",
       " {'symbol': 'VETBUSD', 'price': '0.03070000'},\n",
       " {'symbol': 'VITEBNB', 'price': '0.00070700'},\n",
       " {'symbol': 'VITEBTC', 'price': '0.00000132'},\n",
       " {'symbol': 'VITEUSDT', 'price': '0.03145000'},\n",
       " {'symbol': 'FTTBNB', 'price': '0.09730000'},\n",
       " {'symbol': 'FTTBTC', 'price': '0.00128280'},\n",
       " {'symbol': 'FTTUSDT', 'price': '30.65000000'},\n",
       " {'symbol': 'BTCTRY', 'price': '432470.00000000'},\n",
       " {'symbol': 'BNBTRY', 'price': '5699.00000000'},\n",
       " {'symbol': 'BUSDTRY', 'price': '18.10000000'},\n",
       " {'symbol': 'ETHTRY', 'price': '33897.00000000'},\n",
       " {'symbol': 'XRPTRY', 'price': '6.75200000'},\n",
       " {'symbol': 'USDTTRY', 'price': '18.10000000'},\n",
       " {'symbol': 'USDTRUB', 'price': '61.31000000'},\n",
       " {'symbol': 'BTCEUR', 'price': '23526.25000000'},\n",
       " {'symbol': 'ETHEUR', 'price': '1845.79000000'},\n",
       " {'symbol': 'BNBEUR', 'price': '309.60000000'},\n",
       " {'symbol': 'XRPEUR', 'price': '0.36780000'},\n",
       " {'symbol': 'EURBUSD', 'price': '1.01560000'},\n",
       " {'symbol': 'EURUSDT', 'price': '1.01550000'},\n",
       " {'symbol': 'OGNBNB', 'price': '0.00078200'},\n",
       " {'symbol': 'OGNBTC', 'price': '0.00001029'},\n",
       " {'symbol': 'OGNUSDT', 'price': '0.24570000'},\n",
       " {'symbol': 'DREPBNB', 'price': '0.00009380'},\n",
       " {'symbol': 'DREPBTC', 'price': '0.00002425'},\n",
       " {'symbol': 'DREPUSDT', 'price': '0.57980000'},\n",
       " {'symbol': 'BULLUSDT', 'price': '1370.28000000'},\n",
       " {'symbol': 'BULLBUSD', 'price': '1368.56000000'},\n",
       " {'symbol': 'BEARUSDT', 'price': '11.16000000'},\n",
       " {'symbol': 'BEARBUSD', 'price': '11.14000000'},\n",
       " {'symbol': 'ETHBULLUSDT', 'price': '79.18000000'},\n",
       " {'symbol': 'ETHBULLBUSD', 'price': '78.46000000'},\n",
       " {'symbol': 'ETHBEARUSDT', 'price': '12.20000000'},\n",
       " {'symbol': 'ETHBEARBUSD', 'price': '12.24000000'},\n",
       " {'symbol': 'TCTBNB', 'price': '0.00041860'},\n",
       " {'symbol': 'TCTBTC', 'price': '0.00000052'},\n",
       " {'symbol': 'TCTUSDT', 'price': '0.01237000'},\n",
       " {'symbol': 'WRXBNB', 'price': '0.00074600'},\n",
       " {'symbol': 'WRXBTC', 'price': '0.00000984'},\n",
       " {'symbol': 'WRXUSDT', 'price': '0.23500000'},\n",
       " {'symbol': 'ICXBUSD', 'price': '0.33900000'},\n",
       " {'symbol': 'BTSUSDT', 'price': '0.01269000'},\n",
       " {'symbol': 'BTSBUSD', 'price': '0.01930000'},\n",
       " {'symbol': 'LSKUSDT', 'price': '1.24800000'},\n",
       " {'symbol': 'BNTUSDT', 'price': '0.57600000'},\n",
       " {'symbol': 'BNTBUSD', 'price': '0.57400000'},\n",
       " {'symbol': 'LTOBNB', 'price': '0.00248000'},\n",
       " {'symbol': 'LTOBTC', 'price': '0.00000439'},\n",
       " {'symbol': 'LTOUSDT', 'price': '0.10480000'},\n",
       " {'symbol': 'ATOMBUSD', 'price': '11.39200000'},\n",
       " {'symbol': 'DASHBUSD', 'price': '52.80000000'},\n",
       " {'symbol': 'NEOBUSD', 'price': '11.16000000'},\n",
       " {'symbol': 'WAVESBUSD', 'price': '5.85400000'},\n",
       " {'symbol': 'XTZBUSD', 'price': '1.88900000'},\n",
       " {'symbol': 'EOSBULLUSDT', 'price': '3.85000000'},\n",
       " {'symbol': 'EOSBULLBUSD', 'price': '3.90000000'},\n",
       " {'symbol': 'EOSBEARUSDT', 'price': '30.21000000'},\n",
       " {'symbol': 'EOSBEARBUSD', 'price': '29.81000000'},\n",
       " {'symbol': 'XRPBULLUSDT', 'price': '8.74000000'},\n",
       " {'symbol': 'XRPBULLBUSD', 'price': '8.78000000'},\n",
       " {'symbol': 'XRPBEARUSDT', 'price': '548.55000000'},\n",
       " {'symbol': 'XRPBEARBUSD', 'price': '547.33000000'},\n",
       " {'symbol': 'BATBUSD', 'price': '0.42760000'},\n",
       " {'symbol': 'ENJBUSD', 'price': '0.67100000'},\n",
       " {'symbol': 'NANOBUSD', 'price': '2.22500000'},\n",
       " {'symbol': 'ONTBUSD', 'price': '0.28570000'},\n",
       " {'symbol': 'RVNBUSD', 'price': '0.03604000'},\n",
       " {'symbol': 'STRATBUSD', 'price': '0.49150000'},\n",
       " {'symbol': 'STRATBNB', 'price': '0.01900000'},\n",
       " {'symbol': 'STRATUSDT', 'price': '0.49040000'},\n",
       " {'symbol': 'AIONBUSD', 'price': '0.07210000'},\n",
       " {'symbol': 'AIONUSDT', 'price': '0.04753000'},\n",
       " {'symbol': 'MBLBNB', 'price': '0.00001202'},\n",
       " {'symbol': 'MBLBTC', 'price': '0.00000005'},\n",
       " {'symbol': 'MBLUSDT', 'price': '0.00470400'},\n",
       " {'symbol': 'COTIBNB', 'price': '0.00035980'},\n",
       " {'symbol': 'COTIBTC', 'price': '0.00000475'},\n",
       " {'symbol': 'COTIUSDT', 'price': '0.11320000'},\n",
       " {'symbol': 'ALGOBUSD', 'price': '0.35300000'},\n",
       " {'symbol': 'BTTBUSD', 'price': '0.00277800'},\n",
       " {'symbol': 'TOMOBUSD', 'price': '0.62200000'},\n",
       " {'symbol': 'XMRBUSD', 'price': '169.90000000'},\n",
       " {'symbol': 'ZECBUSD', 'price': '75.70000000'},\n",
       " {'symbol': 'BNBBULLUSDT', 'price': '57.21000000'},\n",
       " {'symbol': 'BNBBULLBUSD', 'price': '58.37000000'},\n",
       " {'symbol': 'BNBBEARUSDT', 'price': '58.61000000'},\n",
       " {'symbol': 'BNBBEARBUSD', 'price': '57.21000000'},\n",
       " {'symbol': 'STPTBNB', 'price': '0.00067000'},\n",
       " {'symbol': 'STPTBTC', 'price': '0.00000217'},\n",
       " {'symbol': 'STPTUSDT', 'price': '0.05161000'},\n",
       " {'symbol': 'BTCZAR', 'price': '857014.00000000'},\n",
       " {'symbol': 'ETHZAR', 'price': '27850.40000000'},\n",
       " {'symbol': 'BNBZAR', 'price': '5000.00000000'},\n",
       " {'symbol': 'USDTZAR', 'price': '14.02300000'},\n",
       " {'symbol': 'BUSDZAR', 'price': '13.88800000'},\n",
       " {'symbol': 'BTCBKRW', 'price': '42029197.00000000'},\n",
       " {'symbol': 'ETHBKRW', 'price': '1277799.00000000'},\n",
       " {'symbol': 'BNBBKRW', 'price': '44687.00000000'},\n",
       " {'symbol': 'WTCUSDT', 'price': '0.29820000'},\n",
       " {'symbol': 'DATABUSD', 'price': '0.03799000'},\n",
       " {'symbol': 'DATAUSDT', 'price': '0.03806000'},\n",
       " {'symbol': 'XZCUSDT', 'price': '4.44600000'},\n",
       " {'symbol': 'SOLBNB', 'price': '0.13680000'},\n",
       " {'symbol': 'SOLBTC', 'price': '0.00180350'},\n",
       " {'symbol': 'SOLUSDT', 'price': '43.10000000'},\n",
       " {'symbol': 'SOLBUSD', 'price': '43.10000000'},\n",
       " {'symbol': 'BTCIDRT', 'price': '693891182.00'},\n",
       " {'symbol': 'BNBIDRT', 'price': '4286985.00'},\n",
       " {'symbol': 'USDTIDRT', 'price': '14826.00'},\n",
       " {'symbol': 'BUSDIDRT', 'price': '14389.00'},\n",
       " {'symbol': 'CTSIBTC', 'price': '0.00000754'},\n",
       " {'symbol': 'CTSIUSDT', 'price': '0.18020000'},\n",
       " {'symbol': 'CTSIBNB', 'price': '0.00057300'},\n",
       " {'symbol': 'CTSIBUSD', 'price': '0.18020000'},\n",
       " {'symbol': 'HIVEBNB', 'price': '0.00429000'},\n",
       " {'symbol': 'HIVEBTC', 'price': '0.00002546'},\n",
       " {'symbol': 'HIVEUSDT', 'price': '0.60800000'},\n",
       " {'symbol': 'CHRBNB', 'price': '0.00067180'},\n",
       " {'symbol': 'CHRBTC', 'price': '0.00000884'},\n",
       " {'symbol': 'CHRUSDT', 'price': '0.21140000'},\n",
       " {'symbol': 'BTCUPUSDT', 'price': '6.20100000'},\n",
       " {'symbol': 'BTCDOWNUSDT', 'price': '0.02221000'},\n",
       " {'symbol': 'GXSUSDT', 'price': '1.79230000'},\n",
       " {'symbol': 'ARDRUSDT', 'price': '0.12320000'},\n",
       " {'symbol': 'ERDBUSD', 'price': '0.01966100'},\n",
       " {'symbol': 'LENDUSDT', 'price': '0.51431000'},\n",
       " {'symbol': 'HBARBUSD', 'price': '0.07660000'},\n",
       " {'symbol': 'MATICBUSD', 'price': '0.93650000'},\n",
       " {'symbol': 'WRXBUSD', 'price': '0.23500000'},\n",
       " {'symbol': 'ZILBUSD', 'price': '0.04508000'},\n",
       " {'symbol': 'MDTBNB', 'price': '0.00073720'},\n",
       " {'symbol': 'MDTBTC', 'price': '0.00000133'},\n",
       " {'symbol': 'MDTUSDT', 'price': '0.03175000'},\n",
       " {'symbol': 'STMXBTC', 'price': '0.00000041'},\n",
       " {'symbol': 'STMXETH', 'price': '0.00000531'},\n",
       " {'symbol': 'STMXUSDT', 'price': '0.00996000'},\n",
       " {'symbol': 'KNCBUSD', 'price': '1.64500000'},\n",
       " {'symbol': 'KNCUSDT', 'price': '1.64500000'},\n",
       " {'symbol': 'REPBUSD', 'price': '13.67300000'},\n",
       " {'symbol': 'REPUSDT', 'price': '9.01000000'},\n",
       " {'symbol': 'LRCBUSD', 'price': '0.45690000'},\n",
       " {'symbol': 'LRCUSDT', 'price': '0.45680000'},\n",
       " {'symbol': 'IQBNB', 'price': '0.00002243'},\n",
       " {'symbol': 'IQBUSD', 'price': '0.00608000'},\n",
       " {'symbol': 'PNTBTC', 'price': '0.00001283'},\n",
       " {'symbol': 'PNTUSDT', 'price': '0.30640000'},\n",
       " {'symbol': 'BTCGBP', 'price': '19769.04000000'},\n",
       " {'symbol': 'ETHGBP', 'price': '1551.15000000'},\n",
       " {'symbol': 'XRPGBP', 'price': '0.30860000'},\n",
       " {'symbol': 'BNBGBP', 'price': '260.20000000'},\n",
       " {'symbol': 'GBPBUSD', 'price': '1.20800000'},\n",
       " {'symbol': 'DGBBTC', 'price': '0.00000053'},\n",
       " {'symbol': 'DGBBUSD', 'price': '0.01263000'},\n",
       " {'symbol': 'BTCUAH', 'price': '943836.00000000'},\n",
       " {'symbol': 'USDTUAH', 'price': '39.49000000'},\n",
       " {'symbol': 'COMPBTC', 'price': '0.00254800'},\n",
       " {'symbol': 'COMPBNB', 'price': '5.71900000'},\n",
       " {'symbol': 'COMPBUSD', 'price': '60.77000000'},\n",
       " {'symbol': 'COMPUSDT', 'price': '60.77000000'},\n",
       " {'symbol': 'BTCBIDR', 'price': '352972473.00'},\n",
       " {'symbol': 'ETHBIDR', 'price': '27676695.00'},\n",
       " {'symbol': 'BNBBIDR', 'price': '4655235.00'},\n",
       " {'symbol': 'BUSDBIDR', 'price': '14783.00'},\n",
       " {'symbol': 'USDTBIDR', 'price': '14781.00'},\n",
       " {'symbol': 'BKRWUSDT', 'price': '0.00084530'},\n",
       " {'symbol': 'BKRWBUSD', 'price': '0.00084550'},\n",
       " {'symbol': 'SCUSDT', 'price': '0.00478000'},\n",
       " {'symbol': 'ZENUSDT', 'price': '20.24000000'},\n",
       " {'symbol': 'SXPBTC', 'price': '0.00002006'},\n",
       " {'symbol': 'SXPBNB', 'price': '0.00152200'},\n",
       " {'symbol': 'SXPBUSD', 'price': '0.47900000'},\n",
       " {'symbol': 'SNXBTC', 'price': '0.00015390'},\n",
       " {'symbol': 'SNXBNB', 'price': '0.01168000'},\n",
       " {'symbol': 'SNXBUSD', 'price': '3.67400000'},\n",
       " {'symbol': 'SNXUSDT', 'price': '3.67700000'},\n",
       " {'symbol': 'ETHUPUSDT', 'price': '5.34900000'},\n",
       " {'symbol': 'ETHDOWNUSDT', 'price': '0.67420000'},\n",
       " {'symbol': 'ADAUPUSDT', 'price': '1.32800000'},\n",
       " {'symbol': 'ADADOWNUSDT', 'price': '0.00304600'},\n",
       " {'symbol': 'LINKUPUSDT', 'price': '0.01616000'},\n",
       " {'symbol': 'LINKDOWNUSDT', 'price': '0.00626900'},\n",
       " {'symbol': 'VTHOBNB', 'price': '0.00000673'},\n",
       " {'symbol': 'VTHOBUSD', 'price': '0.00071800'},\n",
       " {'symbol': 'VTHOUSDT', 'price': '0.00200000'},\n",
       " {'symbol': 'DCRBUSD', 'price': '16.03500000'},\n",
       " {'symbol': 'DGBUSDT', 'price': '0.01264000'},\n",
       " {'symbol': 'GBPUSDT', 'price': '1.20900000'},\n",
       " {'symbol': 'STORJBUSD', 'price': '0.69520000'},\n",
       " {'symbol': 'SXPUSDT', 'price': '0.47900000'},\n",
       " {'symbol': 'IRISBNB', 'price': '0.00166200'},\n",
       " {'symbol': 'IRISBTC', 'price': '0.00000102'},\n",
       " {'symbol': 'IRISBUSD', 'price': '0.06080000'},\n",
       " {'symbol': 'MKRBNB', 'price': '6.90300000'},\n",
       " {'symbol': 'MKRBTC', 'price': '0.04105000'},\n",
       " {'symbol': 'MKRUSDT', 'price': '979.00000000'},\n",
       " {'symbol': 'MKRBUSD', 'price': '977.00000000'},\n",
       " {'symbol': 'DAIBNB', 'price': '0.04876000'},\n",
       " {'symbol': 'DAIBTC', 'price': '0.00008966'},\n",
       " {'symbol': 'DAIUSDT', 'price': '1.01890000'},\n",
       " {'symbol': 'DAIBUSD', 'price': '1.01810000'},\n",
       " {'symbol': 'RUNEBNB', 'price': '0.00832000'},\n",
       " {'symbol': 'RUNEBTC', 'price': '0.00010960'},\n",
       " {'symbol': 'RUNEBUSD', 'price': '2.61900000'},\n",
       " {'symbol': 'MANABUSD', 'price': '1.03500000'},\n",
       " {'symbol': 'DOGEBUSD', 'price': '0.08494000'},\n",
       " {'symbol': 'LENDBUSD', 'price': '0.51530000'},\n",
       " {'symbol': 'ZRXBUSD', 'price': '0.36100000'},\n",
       " {'symbol': 'DCRUSDT', 'price': '32.80000000'},\n",
       " {'symbol': 'STORJUSDT', 'price': '0.69470000'},\n",
       " {'symbol': 'XRPBKRW', 'price': '319.76000000'},\n",
       " {'symbol': 'ADABKRW', 'price': '327.55000000'},\n",
       " {'symbol': 'BTCAUD', 'price': '34024.70000000'},\n",
       " {'symbol': 'ETHAUD', 'price': '2669.08000000'},\n",
       " {'symbol': 'AUDBUSD', 'price': '0.70180000'},\n",
       " {'symbol': 'FIOBNB', 'price': '0.00017080'},\n",
       " {'symbol': 'FIOBTC', 'price': '0.00000231'},\n",
       " {'symbol': 'FIOBUSD', 'price': '0.05540000'},\n",
       " {'symbol': 'BNBUPUSDT', 'price': '41.40000000'},\n",
       " {'symbol': 'BNBDOWNUSDT', 'price': '0.03380000'},\n",
       " {'symbol': 'XTZUPUSDT', 'price': '0.00255100'},\n",
       " {'symbol': 'XTZDOWNUSDT', 'price': '2.60010000'},\n",
       " {'symbol': 'AVABNB', 'price': '0.00218800'},\n",
       " {'symbol': 'AVABTC', 'price': '0.00003390'},\n",
       " {'symbol': 'AVABUSD', 'price': '0.80900000'},\n",
       " {'symbol': 'USDTBKRW', 'price': '1125.00000000'},\n",
       " {'symbol': 'BUSDBKRW', 'price': '1097.18000000'},\n",
       " {'symbol': 'IOTABUSD', 'price': '0.33840000'},\n",
       " {'symbol': 'MANAUSDT', 'price': '1.03500000'},\n",
       " {'symbol': 'XRPAUD', 'price': '0.53170000'},\n",
       " {'symbol': 'BNBAUD', 'price': '448.10000000'},\n",
       " {'symbol': 'AUDUSDT', 'price': '0.70170000'},\n",
       " {'symbol': 'BALBNB', 'price': '0.42580000'},\n",
       " {'symbol': 'BALBTC', 'price': '0.00028470'},\n",
       " {'symbol': 'BALBUSD', 'price': '6.79000000'},\n",
       " {'symbol': 'YFIBNB', 'price': '82.19000000'},\n",
       " {'symbol': 'YFIBTC', 'price': '0.46180000'},\n",
       " {'symbol': 'YFIBUSD', 'price': '11016.13000000'},\n",
       " {'symbol': 'YFIUSDT', 'price': '11020.17000000'},\n",
       " {'symbol': 'BLZBUSD', 'price': '0.09440000'},\n",
       " {'symbol': 'KMDBUSD', 'price': '0.46760000'},\n",
       " {'symbol': 'BALUSDT', 'price': '6.79000000'},\n",
       " {'symbol': 'BLZUSDT', 'price': '0.09420000'},\n",
       " {'symbol': 'IRISUSDT', 'price': '0.02443000'},\n",
       " {'symbol': 'KMDUSDT', 'price': '0.31000000'},\n",
       " {'symbol': 'BTCDAI', 'price': '23877.75000000'},\n",
       " {'symbol': 'ETHDAI', 'price': '1874.14000000'},\n",
       " {'symbol': 'BNBDAI', 'price': '314.40000000'},\n",
       " {'symbol': 'USDTDAI', 'price': '1.00020000'},\n",
       " {'symbol': 'BUSDDAI', 'price': '1.00020000'},\n",
       " {'symbol': 'JSTBNB', 'price': '0.00021850'},\n",
       " {'symbol': 'JSTBTC', 'price': '0.00000143'},\n",
       " {'symbol': 'JSTBUSD', 'price': '0.03391000'},\n",
       " {'symbol': 'JSTUSDT', 'price': '0.03401000'},\n",
       " {'symbol': 'SRMBNB', 'price': '0.00325000'},\n",
       " {'symbol': 'SRMBTC', 'price': '0.00004300'},\n",
       " {'symbol': 'SRMBUSD', 'price': '1.02500000'},\n",
       " {'symbol': 'SRMUSDT', 'price': '1.02400000'},\n",
       " {'symbol': 'ANTBNB', 'price': '0.00633000'},\n",
       " {'symbol': 'ANTBTC', 'price': '0.00008320'},\n",
       " {'symbol': 'ANTBUSD', 'price': '1.99300000'},\n",
       " {'symbol': 'ANTUSDT', 'price': '1.99200000'},\n",
       " {'symbol': 'CRVBNB', 'price': '0.00687000'},\n",
       " {'symbol': 'CRVBTC', 'price': '0.00005421'},\n",
       " {'symbol': 'CRVBUSD', 'price': '1.29300000'},\n",
       " {'symbol': 'CRVUSDT', 'price': '1.29500000'},\n",
       " {'symbol': 'SANDBNB', 'price': '0.00404900'},\n",
       " {'symbol': 'SANDBTC', 'price': '0.00005333'},\n",
       " {'symbol': 'SANDUSDT', 'price': '1.27490000'},\n",
       " {'symbol': 'SANDBUSD', 'price': '1.27490000'},\n",
       " {'symbol': 'OCEANBNB', 'price': '0.00065300'},\n",
       " {'symbol': 'OCEANBTC', 'price': '0.00000859'},\n",
       " {'symbol': 'OCEANBUSD', 'price': '0.20520000'},\n",
       " {'symbol': 'OCEANUSDT', 'price': '0.20530000'},\n",
       " {'symbol': 'NMRBTC', 'price': '0.00085700'},\n",
       " {'symbol': 'NMRBUSD', 'price': '20.52000000'},\n",
       " {'symbol': 'NMRUSDT', 'price': '20.48000000'},\n",
       " {'symbol': 'DOTBNB', 'price': '0.02827000'},\n",
       " {'symbol': 'DOTBTC', 'price': '0.00037250'},\n",
       " {'symbol': 'DOTBUSD', 'price': '8.90000000'},\n",
       " {'symbol': 'DOTUSDT', 'price': '8.90000000'},\n",
       " {'symbol': 'LUNABNB', 'price': '0.00000019'},\n",
       " {'symbol': 'LUNABTC', 'price': '0.00000001'},\n",
       " {'symbol': 'LUNABUSD', 'price': '1.97380000'},\n",
       " {'symbol': 'LUNAUSDT', 'price': '1.97400000'},\n",
       " {'symbol': 'IDEXBTC', 'price': '0.00000351'},\n",
       " {'symbol': 'IDEXBUSD', 'price': '0.08363000'},\n",
       " {'symbol': 'RSRBNB', 'price': '0.00002310'},\n",
       " {'symbol': 'RSRBTC', 'price': '0.00000016'},\n",
       " {'symbol': 'RSRBUSD', 'price': '0.00727000'},\n",
       " {'symbol': 'RSRUSDT', 'price': '0.00727000'},\n",
       " {'symbol': 'PAXGBNB', 'price': '5.62900000'},\n",
       " {'symbol': 'PAXGBTC', 'price': '0.07421000'},\n",
       " {'symbol': 'PAXGBUSD', 'price': '1770.00000000'},\n",
       " {'symbol': 'PAXGUSDT', 'price': '1770.00000000'},\n",
       " {'symbol': 'WNXMBNB', 'price': '0.17350000'},\n",
       " {'symbol': 'WNXMBTC', 'price': '0.00067200'},\n",
       " {'symbol': 'WNXMBUSD', 'price': '22.16500000'},\n",
       " {'symbol': 'WNXMUSDT', 'price': '17.71000000'},\n",
       " {'symbol': 'TRBBNB', 'price': '0.51700000'},\n",
       " {'symbol': 'TRBBTC', 'price': '0.00168100'},\n",
       " {'symbol': 'TRBBUSD', 'price': '40.10000000'},\n",
       " {'symbol': 'TRBUSDT', 'price': '40.12000000'},\n",
       " {'symbol': 'ETHNGN', 'price': '805670.00000000'},\n",
       " {'symbol': 'DOTBIDR', 'price': '131171.00'},\n",
       " {'symbol': 'LINKAUD', 'price': '12.05700000'},\n",
       " {'symbol': 'SXPAUD', 'price': '1.86800000'},\n",
       " {'symbol': 'BZRXBNB', 'price': '0.00514000'},\n",
       " {'symbol': 'BZRXBTC', 'price': '0.00000463'},\n",
       " {'symbol': 'BZRXBUSD', 'price': '0.21640000'},\n",
       " {'symbol': 'BZRXUSDT', 'price': '0.21560000'},\n",
       " {'symbol': 'WBTCBTC', 'price': '1.00000000'},\n",
       " {'symbol': 'WBTCETH', 'price': '12.74000000'},\n",
       " {'symbol': 'SUSHIBNB', 'price': '0.00452000'},\n",
       " {'symbol': 'SUSHIBTC', 'price': '0.00005970'},\n",
       " {'symbol': 'SUSHIBUSD', 'price': '1.42300000'},\n",
       " {'symbol': 'SUSHIUSDT', 'price': '1.42300000'},\n",
       " {'symbol': 'YFIIBNB', 'price': '4.42000000'},\n",
       " {'symbol': 'YFIIBTC', 'price': '0.06975000'},\n",
       " {'symbol': 'YFIIBUSD', 'price': '1192.00000000'},\n",
       " {'symbol': 'YFIIUSDT', 'price': '1669.50000000'},\n",
       " {'symbol': 'KSMBNB', 'price': '0.17840000'},\n",
       " {'symbol': 'KSMBTC', 'price': '0.00235500'},\n",
       " {'symbol': 'KSMBUSD', 'price': '56.20000000'},\n",
       " {'symbol': 'KSMUSDT', 'price': '56.20000000'},\n",
       " {'symbol': 'EGLDBNB', 'price': '0.19250000'},\n",
       " ...]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tickers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "20a0c10c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.00072500'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tickers[5]['price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "80b88047",
   "metadata": {},
   "outputs": [],
   "source": [
    "ticker_df = pd.DataFrame(tickers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "29d871fe",
   "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>symbol</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ETHBTC</td>\n",
       "      <td>0.07844900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LTCBTC</td>\n",
       "      <td>0.00255400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BNBBTC</td>\n",
       "      <td>0.01318100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NEOBTC</td>\n",
       "      <td>0.00046800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>QTUMETH</td>\n",
       "      <td>0.00213000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    symbol       price\n",
       "0   ETHBTC  0.07844900\n",
       "1   LTCBTC  0.00255400\n",
       "2   BNBBTC  0.01318100\n",
       "3   NEOBTC  0.00046800\n",
       "4  QTUMETH  0.00213000"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ticker_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c5c7136f",
   "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>symbol</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2074</th>\n",
       "      <td>LEVERBUSD</td>\n",
       "      <td>0.00308000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2075</th>\n",
       "      <td>BURGERETH</td>\n",
       "      <td>0.00083600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2076</th>\n",
       "      <td>PEOPLEETH</td>\n",
       "      <td>0.00001491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2077</th>\n",
       "      <td>UNFIETH</td>\n",
       "      <td>0.00689100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2078</th>\n",
       "      <td>BONDETH</td>\n",
       "      <td>0.00439700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2079</th>\n",
       "      <td>STORJTRY</td>\n",
       "      <td>12.57000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2080</th>\n",
       "      <td>OPETH</td>\n",
       "      <td>0.00077000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2081</th>\n",
       "      <td>ETCTRY</td>\n",
       "      <td>718.60000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2082</th>\n",
       "      <td>WINGETH</td>\n",
       "      <td>0.00746600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2083</th>\n",
       "      <td>FILETH</td>\n",
       "      <td>0.00441600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         symbol         price\n",
       "2074  LEVERBUSD    0.00308000\n",
       "2075  BURGERETH    0.00083600\n",
       "2076  PEOPLEETH    0.00001491\n",
       "2077    UNFIETH    0.00689100\n",
       "2078    BONDETH    0.00439700\n",
       "2079   STORJTRY   12.57000000\n",
       "2080      OPETH    0.00077000\n",
       "2081     ETCTRY  718.60000000\n",
       "2082    WINGETH    0.00746600\n",
       "2083     FILETH    0.00441600"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ticker_df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3e49d9ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "ticker_df.set_index('symbol', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "411d21e4",
   "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>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>symbol</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ETHBTC</th>\n",
       "      <td>0.07844900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LTCBTC</th>\n",
       "      <td>0.00255400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNBBTC</th>\n",
       "      <td>0.01318100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEOBTC</th>\n",
       "      <td>0.00046800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QTUMETH</th>\n",
       "      <td>0.00213000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              price\n",
       "symbol             \n",
       "ETHBTC   0.07844900\n",
       "LTCBTC   0.00255400\n",
       "BNBBTC   0.01318100\n",
       "NEOBTC   0.00046800\n",
       "QTUMETH  0.00213000"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ticker_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2d07cdb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.078449"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "float(ticker_df.loc['ETHBTC']['price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9bab1984",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23898.07"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "float(ticker_df.loc['BTCUSDT']['price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "35ca239c",
   "metadata": {},
   "outputs": [],
   "source": [
    "ticker_df['price'] = ticker_df['price'].apply(pd.to_numeric)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8466faee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 2084 entries, ETHBTC to FILETH\n",
      "Data columns (total 1 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   price   2084 non-null   float64\n",
      "dtypes: float64(1)\n",
      "memory usage: 97.1+ KB\n"
     ]
    }
   ],
   "source": [
    "ticker_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd0f730e",
   "metadata": {},
   "source": [
    "# 4. Get Depth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "cb53afcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "depth = client.get_order_book(symbol='ETHUSDT')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "04db5056",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'lastUpdateId': 19388998119,\n",
       " 'bids': [['1881.28000000', '61.90110000'],\n",
       "  ['1881.27000000', '0.01140000'],\n",
       "  ['1881.21000000', '0.15950000'],\n",
       "  ['1881.12000000', '2.32710000'],\n",
       "  ['1881.11000000', '3.62230000'],\n",
       "  ['1881.09000000', '1.13120000'],\n",
       "  ['1881.08000000', '2.09060000'],\n",
       "  ['1881.02000000', '0.45030000'],\n",
       "  ['1881.00000000', '7.98110000'],\n",
       "  ['1880.99000000', '8.21180000'],\n",
       "  ['1880.97000000', '0.50000000'],\n",
       "  ['1880.94000000', '1.32900000'],\n",
       "  ['1880.93000000', '5.17880000'],\n",
       "  ['1880.91000000', '0.74800000'],\n",
       "  ['1880.87000000', '0.29800000'],\n",
       "  ['1880.86000000', '2.15500000'],\n",
       "  ['1880.81000000', '2.00000000'],\n",
       "  ['1880.80000000', '4.05760000'],\n",
       "  ['1880.79000000', '1.64990000'],\n",
       "  ['1880.78000000', '2.66150000'],\n",
       "  ['1880.73000000', '1.46200000'],\n",
       "  ['1880.72000000', '3.39910000'],\n",
       "  ['1880.71000000', '2.95760000'],\n",
       "  ['1880.70000000', '2.65840000'],\n",
       "  ['1880.65000000', '4.00000000'],\n",
       "  ['1880.61000000', '6.40000000'],\n",
       "  ['1880.59000000', '9.07030000'],\n",
       "  ['1880.57000000', '3.62230000'],\n",
       "  ['1880.56000000', '0.19100000'],\n",
       "  ['1880.55000000', '12.49310000'],\n",
       "  ['1880.52000000', '0.18180000'],\n",
       "  ['1880.50000000', '3.62230000'],\n",
       "  ['1880.49000000', '35.60800000'],\n",
       "  ['1880.48000000', '3.46740000'],\n",
       "  ['1880.47000000', '2.33590000'],\n",
       "  ['1880.46000000', '0.30000000'],\n",
       "  ['1880.45000000', '10.90660000'],\n",
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       "  ['1880.40000000', '7.44800000'],\n",
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       "  ['1880.02000000', '2.65950000'],\n",
       "  ['1880.01000000', '0.15000000'],\n",
       "  ['1880.00000000', '4.94670000'],\n",
       "  ['1879.98000000', '7.44160000'],\n",
       "  ['1879.95000000', '0.25950000'],\n",
       "  ['1879.92000000', '5.62090000'],\n",
       "  ['1879.89000000', '9.57060000'],\n",
       "  ['1879.88000000', '9.56790000'],\n",
       "  ['1879.86000000', '3.10300000'],\n",
       "  ['1879.85000000', '7.17590000'],\n",
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       "  ['1879.81000000', '4.78390000'],\n",
       "  ['1879.80000000', '4.78390000'],\n",
       "  ['1879.76000000', '5.05410000'],\n",
       "  ['1879.75000000', '9.56790000'],\n",
       "  ['1879.73000000', '0.50000000'],\n",
       "  ['1879.68000000', '0.16240000'],\n",
       "  ['1879.67000000', '3.29540000'],\n",
       "  ['1879.66000000', '0.02920000'],\n",
       "  ['1879.65000000', '0.55510000'],\n",
       "  ['1879.64000000', '5.79700000'],\n",
       "  ['1879.63000000', '0.04600000'],\n",
       "  ['1879.62000000', '0.79740000'],\n",
       "  ['1879.60000000', '4.00000000'],\n",
       "  ['1879.57000000', '0.10490000'],\n",
       "  ['1879.56000000', '0.27130000'],\n",
       "  ['1879.54000000', '0.79740000'],\n",
       "  ['1879.52000000', '5.94780000'],\n",
       "  ['1879.51000000', '0.26570000'],\n",
       "  ['1879.50000000', '3.66000000'],\n",
       "  ['1879.49000000', '0.63780000'],\n",
       "  ['1879.48000000', '1.16310000'],\n",
       "  ['1879.46000000', '4.00000000']],\n",
       " 'asks': [['1881.29000000', '5.38760000'],\n",
       "  ['1881.36000000', '2.41430000'],\n",
       "  ['1881.37000000', '6.03390000'],\n",
       "  ['1881.40000000', '0.02060000'],\n",
       "  ['1881.41000000', '0.02280000'],\n",
       "  ['1881.43000000', '0.32990000'],\n",
       "  ['1881.48000000', '1.14650000'],\n",
       "  ['1881.50000000', '1.00000000'],\n",
       "  ['1881.52000000', '0.53510000'],\n",
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       "  ['1881.69000000', '0.26640000'],\n",
       "  ['1881.70000000', '2.00000000'],\n",
       "  ['1881.72000000', '3.06230000'],\n",
       "  ['1881.73000000', '2.05050000'],\n",
       "  ['1881.74000000', '0.18960000'],\n",
       "  ['1881.75000000', '2.65720000'],\n",
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       "  ['1882.75000000', '9.08590000'],\n",
       "  ['1882.78000000', '2.39190000'],\n",
       "  ['1882.79000000', '9.30000000'],\n",
       "  ['1882.80000000', '4.78390000'],\n",
       "  ['1882.81000000', '4.45860000'],\n",
       "  ['1882.82000000', '1.40000000'],\n",
       "  ['1882.85000000', '3.18630000'],\n",
       "  ['1882.86000000', '3.05440000'],\n",
       "  ['1882.87000000', '0.63760000'],\n",
       "  ['1882.91000000', '0.10630000'],\n",
       "  ['1882.92000000', '9.56790000'],\n",
       "  ['1882.93000000', '5.42530000'],\n",
       "  ['1882.94000000', '0.14600000'],\n",
       "  ['1882.97000000', '0.30000000'],\n",
       "  ['1882.98000000', '1.71310000'],\n",
       "  ['1883.00000000', '29.45940000'],\n",
       "  ['1883.02000000', '1.16310000'],\n",
       "  ['1883.03000000', '9.66350000'],\n",
       "  ['1883.04000000', '0.63760000'],\n",
       "  ['1883.10000000', '1.32880000']]}"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "cd853f5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    .dataframe tbody tr th {\n",
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       "\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>Price</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1881.29000000</td>\n",
       "      <td>5.38760000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1881.36000000</td>\n",
       "      <td>2.41430000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1881.37000000</td>\n",
       "      <td>6.03390000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1881.40000000</td>\n",
       "      <td>0.02060000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1881.41000000</td>\n",
       "      <td>0.02280000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Price      Volume\n",
       "0  1881.29000000  5.38760000\n",
       "1  1881.36000000  2.41430000\n",
       "2  1881.37000000  6.03390000\n",
       "3  1881.40000000  0.02060000\n",
       "4  1881.41000000  0.02280000"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depth_df = pd.DataFrame(depth['asks'])\n",
    "depth_df.columns = ['Price', 'Volume']\n",
    "depth_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e3c542f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Price     object\n",
       "Volume    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depth_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3acb7886",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100 entries, 0 to 99\n",
      "Data columns (total 2 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   Price   100 non-null    object\n",
      " 1   Volume  100 non-null    object\n",
      "dtypes: object(2)\n",
      "memory usage: 1.7+ KB\n"
     ]
    }
   ],
   "source": [
    "depth_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb81bf3b",
   "metadata": {},
   "source": [
    "# 5. Get Historical Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b01ff896",
   "metadata": {},
   "outputs": [],
   "source": [
    "#  [\n",
    "#   [\n",
    "#     1499040000000,      // Open time\n",
    "#     \"0.01634790\",       // Open\n",
    "#     \"0.80000000\",       // High\n",
    "#     \"0.01575800\",       // Low\n",
    "#     \"0.01577100\",       // Close\n",
    "#     \"148976.11427815\",  // Volume\n",
    "#     1499644799999,      // Close time\n",
    "#     \"2434.19055334\",    // Quote asset volume\n",
    "#     308,                // Number of trades\n",
    "#     \"1756.87402397\",    // Taker buy base asset volume\n",
    "#     \"28.46694368\",      // Taker buy quote asset volume\n",
    "#     \"17928899.62484339\" // Ignore.\n",
    "#   ]\n",
    "# ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "d0a2185a",
   "metadata": {},
   "outputs": [],
   "source": [
    "client.get_historical_klines??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "826081ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "historical = client.get_historical_klines('ETHUSDT', Client.KLINE_INTERVAL_1DAY, '1 Jan 2011')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f40c2d78",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " [1507507200000,\n",
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       "  61638,\n",
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       "  '0']]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "historical[0:9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "76bfcba2",
   "metadata": {},
   "outputs": [],
   "source": [
    "hist_df = pd.DataFrame(historical)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "b8ab5003",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1502928000000</td>\n",
       "      <td>301.13000000</td>\n",
       "      <td>312.18000000</td>\n",
       "      <td>298.00000000</td>\n",
       "      <td>302.00000000</td>\n",
       "      <td>7030.71034000</td>\n",
       "      <td>1503014399999</td>\n",
       "      <td>2154655.30035660</td>\n",
       "      <td>4522</td>\n",
       "      <td>6224.58999000</td>\n",
       "      <td>1908705.36853020</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503014400000</td>\n",
       "      <td>302.00000000</td>\n",
       "      <td>311.79000000</td>\n",
       "      <td>283.94000000</td>\n",
       "      <td>293.96000000</td>\n",
       "      <td>9537.84646000</td>\n",
       "      <td>1503100799999</td>\n",
       "      <td>2858946.50935390</td>\n",
       "      <td>5658</td>\n",
       "      <td>7452.43542000</td>\n",
       "      <td>2240813.26122640</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503100800000</td>\n",
       "      <td>293.31000000</td>\n",
       "      <td>299.90000000</td>\n",
       "      <td>278.00000000</td>\n",
       "      <td>290.91000000</td>\n",
       "      <td>2146.19773000</td>\n",
       "      <td>1503187199999</td>\n",
       "      <td>620022.58986170</td>\n",
       "      <td>1795</td>\n",
       "      <td>1537.97550000</td>\n",
       "      <td>444713.61220860</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503187200000</td>\n",
       "      <td>289.41000000</td>\n",
       "      <td>300.53000000</td>\n",
       "      <td>282.85000000</td>\n",
       "      <td>299.10000000</td>\n",
       "      <td>2510.13871000</td>\n",
       "      <td>1503273599999</td>\n",
       "      <td>742847.89455990</td>\n",
       "      <td>2038</td>\n",
       "      <td>2186.68739000</td>\n",
       "      <td>647506.06202050</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503273600000</td>\n",
       "      <td>299.10000000</td>\n",
       "      <td>346.52000000</td>\n",
       "      <td>294.60000000</td>\n",
       "      <td>323.29000000</td>\n",
       "      <td>5219.44542000</td>\n",
       "      <td>1503359999999</td>\n",
       "      <td>1689472.34121400</td>\n",
       "      <td>3925</td>\n",
       "      <td>4004.19967000</td>\n",
       "      <td>1297977.42311420</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1503360000000</td>\n",
       "      <td>321.04000000</td>\n",
       "      <td>330.41000000</td>\n",
       "      <td>144.21000000</td>\n",
       "      <td>309.80000000</td>\n",
       "      <td>7956.35088000</td>\n",
       "      <td>1503446399999</td>\n",
       "      <td>2454425.80331370</td>\n",
       "      <td>6577</td>\n",
       "      <td>4433.78132000</td>\n",
       "      <td>1364472.48833300</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1503446400000</td>\n",
       "      <td>312.25000000</td>\n",
       "      <td>324.99000000</td>\n",
       "      <td>309.41000000</td>\n",
       "      <td>315.74000000</td>\n",
       "      <td>8665.72569000</td>\n",
       "      <td>1503532799999</td>\n",
       "      <td>2753464.94504080</td>\n",
       "      <td>8540</td>\n",
       "      <td>2282.23633000</td>\n",
       "      <td>728206.91761490</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1503532800000</td>\n",
       "      <td>315.74000000</td>\n",
       "      <td>328.04000000</td>\n",
       "      <td>314.01000000</td>\n",
       "      <td>323.42000000</td>\n",
       "      <td>6753.27192000</td>\n",
       "      <td>1503619199999</td>\n",
       "      <td>2159417.11415370</td>\n",
       "      <td>6495</td>\n",
       "      <td>1901.90029000</td>\n",
       "      <td>610929.14716790</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1503619200000</td>\n",
       "      <td>323.42000000</td>\n",
       "      <td>338.28000000</td>\n",
       "      <td>323.42000000</td>\n",
       "      <td>327.24000000</td>\n",
       "      <td>7125.96962000</td>\n",
       "      <td>1503705599999</td>\n",
       "      <td>2354162.03829400</td>\n",
       "      <td>7452</td>\n",
       "      <td>2595.82561000</td>\n",
       "      <td>859314.68351840</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1503705600000</td>\n",
       "      <td>327.24000000</td>\n",
       "      <td>335.44000000</td>\n",
       "      <td>323.41000000</td>\n",
       "      <td>330.79000000</td>\n",
       "      <td>4877.68521000</td>\n",
       "      <td>1503791999999</td>\n",
       "      <td>1601994.37731660</td>\n",
       "      <td>4400</td>\n",
       "      <td>941.99655000</td>\n",
       "      <td>311132.26310030</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "              0             1             2             3             4   \\\n",
       "0  1502928000000  301.13000000  312.18000000  298.00000000  302.00000000   \n",
       "1  1503014400000  302.00000000  311.79000000  283.94000000  293.96000000   \n",
       "2  1503100800000  293.31000000  299.90000000  278.00000000  290.91000000   \n",
       "3  1503187200000  289.41000000  300.53000000  282.85000000  299.10000000   \n",
       "4  1503273600000  299.10000000  346.52000000  294.60000000  323.29000000   \n",
       "5  1503360000000  321.04000000  330.41000000  144.21000000  309.80000000   \n",
       "6  1503446400000  312.25000000  324.99000000  309.41000000  315.74000000   \n",
       "7  1503532800000  315.74000000  328.04000000  314.01000000  323.42000000   \n",
       "8  1503619200000  323.42000000  338.28000000  323.42000000  327.24000000   \n",
       "9  1503705600000  327.24000000  335.44000000  323.41000000  330.79000000   \n",
       "\n",
       "              5              6                 7     8              9   \\\n",
       "0  7030.71034000  1503014399999  2154655.30035660  4522  6224.58999000   \n",
       "1  9537.84646000  1503100799999  2858946.50935390  5658  7452.43542000   \n",
       "2  2146.19773000  1503187199999   620022.58986170  1795  1537.97550000   \n",
       "3  2510.13871000  1503273599999   742847.89455990  2038  2186.68739000   \n",
       "4  5219.44542000  1503359999999  1689472.34121400  3925  4004.19967000   \n",
       "5  7956.35088000  1503446399999  2454425.80331370  6577  4433.78132000   \n",
       "6  8665.72569000  1503532799999  2753464.94504080  8540  2282.23633000   \n",
       "7  6753.27192000  1503619199999  2159417.11415370  6495  1901.90029000   \n",
       "8  7125.96962000  1503705599999  2354162.03829400  7452  2595.82561000   \n",
       "9  4877.68521000  1503791999999  1601994.37731660  4400   941.99655000   \n",
       "\n",
       "                 10 11  \n",
       "0  1908705.36853020  0  \n",
       "1  2240813.26122640  0  \n",
       "2   444713.61220860  0  \n",
       "3   647506.06202050  0  \n",
       "4  1297977.42311420  0  \n",
       "5  1364472.48833300  0  \n",
       "6   728206.91761490  0  \n",
       "7   610929.14716790  0  \n",
       "8   859314.68351840  0  \n",
       "9   311132.26310030  0  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "992dd6e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "hist_df.columns = ['Open Time', 'Open', 'High', 'Low', 'Close', 'Volume', 'Close Time', 'Quote Asset Volume', \n",
    "                    'Number of Trades', 'TB Base Volume', 'TB Quote Volume', 'Ignore']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c723aa66",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>1027178</td>\n",
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      ],
      "text/plain": [
       "          Open Time           Open           High            Low  \\\n",
       "1816  1659830400000  1690.60000000  1729.79000000  1668.00000000   \n",
       "1817  1659916800000  1700.20000000  1818.00000000  1693.87000000   \n",
       "1818  1660003200000  1777.05000000  1790.83000000  1667.93000000   \n",
       "1819  1660089600000  1702.76000000  1885.00000000  1656.78000000   \n",
       "1820  1660176000000  1853.58000000  1942.00000000  1850.32000000   \n",
       "1821  1660262400000  1880.19000000  1964.71000000  1853.06000000   \n",
       "1822  1660348800000  1958.28000000  2020.00000000  1946.50000000   \n",
       "1823  1660435200000  1983.55000000  2030.00000000  1906.00000000   \n",
       "1824  1660521600000  1935.32000000  2012.47000000  1872.31000000   \n",
       "1825  1660608000000  1899.05000000  1915.00000000  1853.00000000   \n",
       "\n",
       "              Close            Volume     Close Time   Quote Asset Volume  \\\n",
       "1816  1700.19000000   439904.76400000  1659916799999   745750151.38208700   \n",
       "1817  1777.05000000   781620.54430000  1660003199999  1379905145.70302100   \n",
       "1818  1702.76000000   818171.10190000  1660089599999  1406671817.08567300   \n",
       "1819  1853.57000000  1317767.51270000  1660175999999  2346974815.06705600   \n",
       "1820  1880.19000000  1105261.90090000  1660262399999  2093718964.80063200   \n",
       "1821  1958.28000000   717628.10150000  1660348799999  1363895150.81011300   \n",
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       "1825  1881.12000000   577345.04340000  1660694399999  1087836218.42057600   \n",
       "\n",
       "      Number of Trades   TB Base Volume      TB Quote Volume Ignore  \n",
       "1816            692491  226220.14160000   383519031.53658200      0  \n",
       "1817            987727  403146.57800000   711839570.83093400      0  \n",
       "1818           1062267  398475.05390000   684898876.00059700      0  \n",
       "1819           1590681  685632.88560000  1223921617.95825900      0  \n",
       "1820           1324999  571243.89190000  1082235762.98020600      0  \n",
       "1821           1027178  365935.01700000   695903467.37316700      0  \n",
       "1822            940869  359352.47120000   713880075.11279600      0  \n",
       "1823            856767  284978.81080000   561687887.38430400      0  \n",
       "1824           1295615  470951.53290000   905389296.66333500      0  \n",
       "1825            834183  282986.25920000   533320699.93182800      0  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "3bbfa768",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1826, 12)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "32c6ffc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Open Time              int64\n",
       "Open                  object\n",
       "High                  object\n",
       "Low                   object\n",
       "Close                 object\n",
       "Volume                object\n",
       "Close Time             int64\n",
       "Quote Asset Volume    object\n",
       "Number of Trades       int64\n",
       "TB Base Volume        object\n",
       "TB Quote Volume       object\n",
       "Ignore                object\n",
       "dtype: object"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e149c015",
   "metadata": {},
   "source": [
    "# 6. Preprocess Historical Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "03884820",
   "metadata": {},
   "outputs": [],
   "source": [
    "hist_df['Open Time'] = pd.to_datetime(hist_df['Open Time']/1000, unit='s')\n",
    "hist_df['Close Time'] = pd.to_datetime(hist_df['Close Time']/1000, unit='s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b2890ee3",
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_columns = ['Open', 'High', 'Low', 'Close', 'Volume', 'Quote Asset Volume', 'TB Base Volume', 'TB Quote Volume']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "7d5fe9c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "hist_df[numeric_columns] = hist_df[numeric_columns].apply(pd.to_numeric, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "c9fb9969",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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 Time</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Close Time</th>\n",
       "      <th>Quote Asset Volume</th>\n",
       "      <th>Number of Trades</th>\n",
       "      <th>TB Base Volume</th>\n",
       "      <th>TB Quote Volume</th>\n",
       "      <th>Ignore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1816</th>\n",
       "      <td>2022-08-07</td>\n",
       "      <td>1690.60</td>\n",
       "      <td>1729.79</td>\n",
       "      <td>1668.00</td>\n",
       "      <td>1700.19</td>\n",
       "      <td>4.399048e+05</td>\n",
       "      <td>2022-08-07 23:59:59.999000064</td>\n",
       "      <td>7.457502e+08</td>\n",
       "      <td>692491</td>\n",
       "      <td>226220.1416</td>\n",
       "      <td>3.835190e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1817</th>\n",
       "      <td>2022-08-08</td>\n",
       "      <td>1700.20</td>\n",
       "      <td>1818.00</td>\n",
       "      <td>1693.87</td>\n",
       "      <td>1777.05</td>\n",
       "      <td>7.816205e+05</td>\n",
       "      <td>2022-08-08 23:59:59.999000064</td>\n",
       "      <td>1.379905e+09</td>\n",
       "      <td>987727</td>\n",
       "      <td>403146.5780</td>\n",
       "      <td>7.118396e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>2022-08-09</td>\n",
       "      <td>1777.05</td>\n",
       "      <td>1790.83</td>\n",
       "      <td>1667.93</td>\n",
       "      <td>1702.76</td>\n",
       "      <td>8.181711e+05</td>\n",
       "      <td>2022-08-09 23:59:59.999000064</td>\n",
       "      <td>1.406672e+09</td>\n",
       "      <td>1062267</td>\n",
       "      <td>398475.0539</td>\n",
       "      <td>6.848989e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1819</th>\n",
       "      <td>2022-08-10</td>\n",
       "      <td>1702.76</td>\n",
       "      <td>1885.00</td>\n",
       "      <td>1656.78</td>\n",
       "      <td>1853.57</td>\n",
       "      <td>1.317768e+06</td>\n",
       "      <td>2022-08-10 23:59:59.999000064</td>\n",
       "      <td>2.346975e+09</td>\n",
       "      <td>1590681</td>\n",
       "      <td>685632.8856</td>\n",
       "      <td>1.223922e+09</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1820</th>\n",
       "      <td>2022-08-11</td>\n",
       "      <td>1853.58</td>\n",
       "      <td>1942.00</td>\n",
       "      <td>1850.32</td>\n",
       "      <td>1880.19</td>\n",
       "      <td>1.105262e+06</td>\n",
       "      <td>2022-08-11 23:59:59.999000064</td>\n",
       "      <td>2.093719e+09</td>\n",
       "      <td>1324999</td>\n",
       "      <td>571243.8919</td>\n",
       "      <td>1.082236e+09</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1821</th>\n",
       "      <td>2022-08-12</td>\n",
       "      <td>1880.19</td>\n",
       "      <td>1964.71</td>\n",
       "      <td>1853.06</td>\n",
       "      <td>1958.28</td>\n",
       "      <td>7.176281e+05</td>\n",
       "      <td>2022-08-12 23:59:59.999000064</td>\n",
       "      <td>1.363895e+09</td>\n",
       "      <td>1027178</td>\n",
       "      <td>365935.0170</td>\n",
       "      <td>6.959035e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1822</th>\n",
       "      <td>2022-08-13</td>\n",
       "      <td>1958.28</td>\n",
       "      <td>2020.00</td>\n",
       "      <td>1946.50</td>\n",
       "      <td>1983.55</td>\n",
       "      <td>6.958760e+05</td>\n",
       "      <td>2022-08-13 23:59:59.999000064</td>\n",
       "      <td>1.382235e+09</td>\n",
       "      <td>940869</td>\n",
       "      <td>359352.4712</td>\n",
       "      <td>7.138801e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1823</th>\n",
       "      <td>2022-08-14</td>\n",
       "      <td>1983.55</td>\n",
       "      <td>2030.00</td>\n",
       "      <td>1906.00</td>\n",
       "      <td>1935.31</td>\n",
       "      <td>5.695835e+05</td>\n",
       "      <td>2022-08-14 23:59:59.999000064</td>\n",
       "      <td>1.122187e+09</td>\n",
       "      <td>856767</td>\n",
       "      <td>284978.8108</td>\n",
       "      <td>5.616879e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1824</th>\n",
       "      <td>2022-08-15</td>\n",
       "      <td>1935.32</td>\n",
       "      <td>2012.47</td>\n",
       "      <td>1872.31</td>\n",
       "      <td>1899.06</td>\n",
       "      <td>9.491623e+05</td>\n",
       "      <td>2022-08-15 23:59:59.999000064</td>\n",
       "      <td>1.824203e+09</td>\n",
       "      <td>1295615</td>\n",
       "      <td>470951.5329</td>\n",
       "      <td>9.053893e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1825</th>\n",
       "      <td>2022-08-16</td>\n",
       "      <td>1899.05</td>\n",
       "      <td>1915.00</td>\n",
       "      <td>1853.00</td>\n",
       "      <td>1881.12</td>\n",
       "      <td>5.773450e+05</td>\n",
       "      <td>2022-08-16 23:59:59.999000064</td>\n",
       "      <td>1.087836e+09</td>\n",
       "      <td>834183</td>\n",
       "      <td>282986.2592</td>\n",
       "      <td>5.333207e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Open Time     Open     High      Low    Close        Volume  \\\n",
       "1816 2022-08-07  1690.60  1729.79  1668.00  1700.19  4.399048e+05   \n",
       "1817 2022-08-08  1700.20  1818.00  1693.87  1777.05  7.816205e+05   \n",
       "1818 2022-08-09  1777.05  1790.83  1667.93  1702.76  8.181711e+05   \n",
       "1819 2022-08-10  1702.76  1885.00  1656.78  1853.57  1.317768e+06   \n",
       "1820 2022-08-11  1853.58  1942.00  1850.32  1880.19  1.105262e+06   \n",
       "1821 2022-08-12  1880.19  1964.71  1853.06  1958.28  7.176281e+05   \n",
       "1822 2022-08-13  1958.28  2020.00  1946.50  1983.55  6.958760e+05   \n",
       "1823 2022-08-14  1983.55  2030.00  1906.00  1935.31  5.695835e+05   \n",
       "1824 2022-08-15  1935.32  2012.47  1872.31  1899.06  9.491623e+05   \n",
       "1825 2022-08-16  1899.05  1915.00  1853.00  1881.12  5.773450e+05   \n",
       "\n",
       "                        Close Time  Quote Asset Volume  Number of Trades  \\\n",
       "1816 2022-08-07 23:59:59.999000064        7.457502e+08            692491   \n",
       "1817 2022-08-08 23:59:59.999000064        1.379905e+09            987727   \n",
       "1818 2022-08-09 23:59:59.999000064        1.406672e+09           1062267   \n",
       "1819 2022-08-10 23:59:59.999000064        2.346975e+09           1590681   \n",
       "1820 2022-08-11 23:59:59.999000064        2.093719e+09           1324999   \n",
       "1821 2022-08-12 23:59:59.999000064        1.363895e+09           1027178   \n",
       "1822 2022-08-13 23:59:59.999000064        1.382235e+09            940869   \n",
       "1823 2022-08-14 23:59:59.999000064        1.122187e+09            856767   \n",
       "1824 2022-08-15 23:59:59.999000064        1.824203e+09           1295615   \n",
       "1825 2022-08-16 23:59:59.999000064        1.087836e+09            834183   \n",
       "\n",
       "      TB Base Volume  TB Quote Volume Ignore  \n",
       "1816     226220.1416     3.835190e+08      0  \n",
       "1817     403146.5780     7.118396e+08      0  \n",
       "1818     398475.0539     6.848989e+08      0  \n",
       "1819     685632.8856     1.223922e+09      0  \n",
       "1820     571243.8919     1.082236e+09      0  \n",
       "1821     365935.0170     6.959035e+08      0  \n",
       "1822     359352.4712     7.138801e+08      0  \n",
       "1823     284978.8108     5.616879e+08      0  \n",
       "1824     470951.5329     9.053893e+08      0  \n",
       "1825     282986.2592     5.333207e+08      0  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "e6100edf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Open Time             datetime64[ns]\n",
       "Open                         float64\n",
       "High                         float64\n",
       "Low                          float64\n",
       "Close                        float64\n",
       "Volume                       float64\n",
       "Close Time            datetime64[ns]\n",
       "Quote Asset Volume           float64\n",
       "Number of Trades               int64\n",
       "TB Base Volume               float64\n",
       "TB Quote Volume              float64\n",
       "Ignore                        object\n",
       "dtype: object"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d82ee604",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\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",
       "      <th>Quote Asset Volume</th>\n",
       "      <th>Number of Trades</th>\n",
       "      <th>TB Base Volume</th>\n",
       "      <th>TB Quote Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1826.000000</td>\n",
       "      <td>1826.000000</td>\n",
       "      <td>1826.000000</td>\n",
       "      <td>1826.000000</td>\n",
       "      <td>1.826000e+03</td>\n",
       "      <td>1.826000e+03</td>\n",
       "      <td>1.826000e+03</td>\n",
       "      <td>1.826000e+03</td>\n",
       "      <td>1.826000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1071.251298</td>\n",
       "      <td>1109.895263</td>\n",
       "      <td>1026.225356</td>\n",
       "      <td>1072.116774</td>\n",
       "      <td>5.710103e+05</td>\n",
       "      <td>6.981352e+08</td>\n",
       "      <td>5.118916e+05</td>\n",
       "      <td>2.856948e+05</td>\n",
       "      <td>3.481994e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1214.125286</td>\n",
       "      <td>1253.060712</td>\n",
       "      <td>1167.903988</td>\n",
       "      <td>1214.158566</td>\n",
       "      <td>5.210383e+05</td>\n",
       "      <td>1.038597e+09</td>\n",
       "      <td>5.908529e+05</td>\n",
       "      <td>2.584053e+05</td>\n",
       "      <td>5.157887e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>83.750000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>81.790000</td>\n",
       "      <td>83.760000</td>\n",
       "      <td>1.060567e+03</td>\n",
       "      <td>3.027397e+05</td>\n",
       "      <td>1.431000e+03</td>\n",
       "      <td>5.666464e+02</td>\n",
       "      <td>1.561580e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>209.625000</td>\n",
       "      <td>215.317500</td>\n",
       "      <td>202.670000</td>\n",
       "      <td>209.632500</td>\n",
       "      <td>2.162607e+05</td>\n",
       "      <td>5.644886e+07</td>\n",
       "      <td>1.206245e+05</td>\n",
       "      <td>1.098741e+05</td>\n",
       "      <td>2.853657e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>402.955000</td>\n",
       "      <td>418.040000</td>\n",
       "      <td>386.070000</td>\n",
       "      <td>404.225000</td>\n",
       "      <td>4.430198e+05</td>\n",
       "      <td>1.415393e+08</td>\n",
       "      <td>2.343475e+05</td>\n",
       "      <td>2.231604e+05</td>\n",
       "      <td>7.070071e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1792.232500</td>\n",
       "      <td>1840.902500</td>\n",
       "      <td>1724.750000</td>\n",
       "      <td>1793.167500</td>\n",
       "      <td>7.670211e+05</td>\n",
       "      <td>1.249753e+09</td>\n",
       "      <td>8.133565e+05</td>\n",
       "      <td>3.817947e+05</td>\n",
       "      <td>6.256344e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4807.980000</td>\n",
       "      <td>4868.000000</td>\n",
       "      <td>4713.890000</td>\n",
       "      <td>4807.980000</td>\n",
       "      <td>4.663240e+06</td>\n",
       "      <td>1.164152e+10</td>\n",
       "      <td>5.548968e+06</td>\n",
       "      <td>2.314458e+06</td>\n",
       "      <td>5.659753e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open         High          Low        Close        Volume  \\\n",
       "count  1826.000000  1826.000000  1826.000000  1826.000000  1.826000e+03   \n",
       "mean   1071.251298  1109.895263  1026.225356  1072.116774  5.710103e+05   \n",
       "std    1214.125286  1253.060712  1167.903988  1214.158566  5.210383e+05   \n",
       "min      83.750000    85.000000    81.790000    83.760000  1.060567e+03   \n",
       "25%     209.625000   215.317500   202.670000   209.632500  2.162607e+05   \n",
       "50%     402.955000   418.040000   386.070000   404.225000  4.430198e+05   \n",
       "75%    1792.232500  1840.902500  1724.750000  1793.167500  7.670211e+05   \n",
       "max    4807.980000  4868.000000  4713.890000  4807.980000  4.663240e+06   \n",
       "\n",
       "       Quote Asset Volume  Number of Trades  TB Base Volume  TB Quote Volume  \n",
       "count        1.826000e+03      1.826000e+03    1.826000e+03     1.826000e+03  \n",
       "mean         6.981352e+08      5.118916e+05    2.856948e+05     3.481994e+08  \n",
       "std          1.038597e+09      5.908529e+05    2.584053e+05     5.157887e+08  \n",
       "min          3.027397e+05      1.431000e+03    5.666464e+02     1.561580e+05  \n",
       "25%          5.644886e+07      1.206245e+05    1.098741e+05     2.853657e+07  \n",
       "50%          1.415393e+08      2.343475e+05    2.231604e+05     7.070071e+07  \n",
       "75%          1.249753e+09      8.133565e+05    3.817947e+05     6.256344e+08  \n",
       "max          1.164152e+10      5.548968e+06    2.314458e+06     5.659753e+09  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "70fc45f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1826 entries, 0 to 1825\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype         \n",
      "---  ------              --------------  -----         \n",
      " 0   Open Time           1826 non-null   datetime64[ns]\n",
      " 1   Open                1826 non-null   float64       \n",
      " 2   High                1826 non-null   float64       \n",
      " 3   Low                 1826 non-null   float64       \n",
      " 4   Close               1826 non-null   float64       \n",
      " 5   Volume              1826 non-null   float64       \n",
      " 6   Close Time          1826 non-null   datetime64[ns]\n",
      " 7   Quote Asset Volume  1826 non-null   float64       \n",
      " 8   Number of Trades    1826 non-null   int64         \n",
      " 9   TB Base Volume      1826 non-null   float64       \n",
      " 10  TB Quote Volume     1826 non-null   float64       \n",
      " 11  Ignore              1826 non-null   object        \n",
      "dtypes: datetime64[ns](2), float64(8), int64(1), object(1)\n",
      "memory usage: 171.3+ KB\n"
     ]
    }
   ],
   "source": [
    "hist_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6340a5b",
   "metadata": {},
   "source": [
    "# 7. Viz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0d4eb061",
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "58c8857d",
   "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>Open Time</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Quote Asset Volume</th>\n",
       "      <th>Number of Trades</th>\n",
       "      <th>TB Base Volume</th>\n",
       "      <th>TB Quote Volume</th>\n",
       "      <th>Ignore</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Close Time</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-05-09 23:59:59.999000064</th>\n",
       "      <td>2022-05-09</td>\n",
       "      <td>2519.71</td>\n",
       "      <td>2530.78</td>\n",
       "      <td>2225.00</td>\n",
       "      <td>2228.55</td>\n",
       "      <td>1.574925e+06</td>\n",
       "      <td>3.725677e+09</td>\n",
       "      <td>1758980</td>\n",
       "      <td>7.852872e+05</td>\n",
       "      <td>1.857342e+09</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-10 23:59:59.999000064</th>\n",
       "      <td>2022-05-10</td>\n",
       "      <td>2229.00</td>\n",
       "      <td>2457.34</td>\n",
       "      <td>2200.00</td>\n",
       "      <td>2342.05</td>\n",
       "      <td>1.550626e+06</td>\n",
       "      <td>3.650912e+09</td>\n",
       "      <td>1851225</td>\n",
       "      <td>7.700891e+05</td>\n",
       "      <td>1.814102e+09</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-11 23:59:59.999000064</th>\n",
       "      <td>2022-05-11</td>\n",
       "      <td>2342.04</td>\n",
       "      <td>2451.37</td>\n",
       "      <td>2005.00</td>\n",
       "      <td>2084.99</td>\n",
       "      <td>2.022865e+06</td>\n",
       "      <td>4.605757e+09</td>\n",
       "      <td>2825340</td>\n",
       "      <td>1.003329e+06</td>\n",
       "      <td>2.287434e+09</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-12 23:59:59.999000064</th>\n",
       "      <td>2022-05-12</td>\n",
       "      <td>2084.99</td>\n",
       "      <td>2195.00</td>\n",
       "      <td>1800.00</td>\n",
       "      <td>1960.22</td>\n",
       "      <td>2.305193e+06</td>\n",
       "      <td>4.485519e+09</td>\n",
       "      <td>2958830</td>\n",
       "      <td>1.149414e+06</td>\n",
       "      <td>2.239195e+09</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-13 23:59:59.999000064</th>\n",
       "      <td>2022-05-13</td>\n",
       "      <td>1960.22</td>\n",
       "      <td>2147.54</td>\n",
       "      <td>1940.23</td>\n",
       "      <td>2009.69</td>\n",
       "      <td>1.134042e+06</td>\n",
       "      <td>2.355144e+09</td>\n",
       "      <td>1380079</td>\n",
       "      <td>5.711733e+05</td>\n",
       "      <td>1.185879e+09</td>\n",
       "      <td>0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-12 23:59:59.999000064</th>\n",
       "      <td>2022-08-12</td>\n",
       "      <td>1880.19</td>\n",
       "      <td>1964.71</td>\n",
       "      <td>1853.06</td>\n",
       "      <td>1958.28</td>\n",
       "      <td>7.176281e+05</td>\n",
       "      <td>1.363895e+09</td>\n",
       "      <td>1027178</td>\n",
       "      <td>3.659350e+05</td>\n",
       "      <td>6.959035e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-13 23:59:59.999000064</th>\n",
       "      <td>2022-08-13</td>\n",
       "      <td>1958.28</td>\n",
       "      <td>2020.00</td>\n",
       "      <td>1946.50</td>\n",
       "      <td>1983.55</td>\n",
       "      <td>6.958760e+05</td>\n",
       "      <td>1.382235e+09</td>\n",
       "      <td>940869</td>\n",
       "      <td>3.593525e+05</td>\n",
       "      <td>7.138801e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-14 23:59:59.999000064</th>\n",
       "      <td>2022-08-14</td>\n",
       "      <td>1983.55</td>\n",
       "      <td>2030.00</td>\n",
       "      <td>1906.00</td>\n",
       "      <td>1935.31</td>\n",
       "      <td>5.695835e+05</td>\n",
       "      <td>1.122187e+09</td>\n",
       "      <td>856767</td>\n",
       "      <td>2.849788e+05</td>\n",
       "      <td>5.616879e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-15 23:59:59.999000064</th>\n",
       "      <td>2022-08-15</td>\n",
       "      <td>1935.32</td>\n",
       "      <td>2012.47</td>\n",
       "      <td>1872.31</td>\n",
       "      <td>1899.06</td>\n",
       "      <td>9.491623e+05</td>\n",
       "      <td>1.824203e+09</td>\n",
       "      <td>1295615</td>\n",
       "      <td>4.709515e+05</td>\n",
       "      <td>9.053893e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-16 23:59:59.999000064</th>\n",
       "      <td>2022-08-16</td>\n",
       "      <td>1899.05</td>\n",
       "      <td>1915.00</td>\n",
       "      <td>1853.00</td>\n",
       "      <td>1881.12</td>\n",
       "      <td>5.773450e+05</td>\n",
       "      <td>1.087836e+09</td>\n",
       "      <td>834183</td>\n",
       "      <td>2.829863e+05</td>\n",
       "      <td>5.333207e+08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Open Time     Open     High      Low    Close  \\\n",
       "Close Time                                                                     \n",
       "2022-05-09 23:59:59.999000064 2022-05-09  2519.71  2530.78  2225.00  2228.55   \n",
       "2022-05-10 23:59:59.999000064 2022-05-10  2229.00  2457.34  2200.00  2342.05   \n",
       "2022-05-11 23:59:59.999000064 2022-05-11  2342.04  2451.37  2005.00  2084.99   \n",
       "2022-05-12 23:59:59.999000064 2022-05-12  2084.99  2195.00  1800.00  1960.22   \n",
       "2022-05-13 23:59:59.999000064 2022-05-13  1960.22  2147.54  1940.23  2009.69   \n",
       "...                                  ...      ...      ...      ...      ...   \n",
       "2022-08-12 23:59:59.999000064 2022-08-12  1880.19  1964.71  1853.06  1958.28   \n",
       "2022-08-13 23:59:59.999000064 2022-08-13  1958.28  2020.00  1946.50  1983.55   \n",
       "2022-08-14 23:59:59.999000064 2022-08-14  1983.55  2030.00  1906.00  1935.31   \n",
       "2022-08-15 23:59:59.999000064 2022-08-15  1935.32  2012.47  1872.31  1899.06   \n",
       "2022-08-16 23:59:59.999000064 2022-08-16  1899.05  1915.00  1853.00  1881.12   \n",
       "\n",
       "                                     Volume  Quote Asset Volume  \\\n",
       "Close Time                                                        \n",
       "2022-05-09 23:59:59.999000064  1.574925e+06        3.725677e+09   \n",
       "2022-05-10 23:59:59.999000064  1.550626e+06        3.650912e+09   \n",
       "2022-05-11 23:59:59.999000064  2.022865e+06        4.605757e+09   \n",
       "2022-05-12 23:59:59.999000064  2.305193e+06        4.485519e+09   \n",
       "2022-05-13 23:59:59.999000064  1.134042e+06        2.355144e+09   \n",
       "...                                     ...                 ...   \n",
       "2022-08-12 23:59:59.999000064  7.176281e+05        1.363895e+09   \n",
       "2022-08-13 23:59:59.999000064  6.958760e+05        1.382235e+09   \n",
       "2022-08-14 23:59:59.999000064  5.695835e+05        1.122187e+09   \n",
       "2022-08-15 23:59:59.999000064  9.491623e+05        1.824203e+09   \n",
       "2022-08-16 23:59:59.999000064  5.773450e+05        1.087836e+09   \n",
       "\n",
       "                               Number of Trades  TB Base Volume  \\\n",
       "Close Time                                                        \n",
       "2022-05-09 23:59:59.999000064           1758980    7.852872e+05   \n",
       "2022-05-10 23:59:59.999000064           1851225    7.700891e+05   \n",
       "2022-05-11 23:59:59.999000064           2825340    1.003329e+06   \n",
       "2022-05-12 23:59:59.999000064           2958830    1.149414e+06   \n",
       "2022-05-13 23:59:59.999000064           1380079    5.711733e+05   \n",
       "...                                         ...             ...   \n",
       "2022-08-12 23:59:59.999000064           1027178    3.659350e+05   \n",
       "2022-08-13 23:59:59.999000064            940869    3.593525e+05   \n",
       "2022-08-14 23:59:59.999000064            856767    2.849788e+05   \n",
       "2022-08-15 23:59:59.999000064           1295615    4.709515e+05   \n",
       "2022-08-16 23:59:59.999000064            834183    2.829863e+05   \n",
       "\n",
       "                               TB Quote Volume Ignore  \n",
       "Close Time                                             \n",
       "2022-05-09 23:59:59.999000064     1.857342e+09      0  \n",
       "2022-05-10 23:59:59.999000064     1.814102e+09      0  \n",
       "2022-05-11 23:59:59.999000064     2.287434e+09      0  \n",
       "2022-05-12 23:59:59.999000064     2.239195e+09      0  \n",
       "2022-05-13 23:59:59.999000064     1.185879e+09      0  \n",
       "...                                        ...    ...  \n",
       "2022-08-12 23:59:59.999000064     6.959035e+08      0  \n",
       "2022-08-13 23:59:59.999000064     7.138801e+08      0  \n",
       "2022-08-14 23:59:59.999000064     5.616879e+08      0  \n",
       "2022-08-15 23:59:59.999000064     9.053893e+08      0  \n",
       "2022-08-16 23:59:59.999000064     5.333207e+08      0  \n",
       "\n",
       "[100 rows x 11 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_df.set_index('Close Time').tail(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "99ebb081",
   "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(hist_df.set_index('Close Time').tail(365), \n",
    "        type='candle', style='charles', \n",
    "        volume=True, \n",
    "        title='ETHUSDT Last 365 Days', \n",
    "        mav=(100, 200))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e6e886a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "btc_historical = client.get_historical_klines('BTCUSDT', Client.KLINE_INTERVAL_1WEEK, '1 Jan 2011')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fffc2f10",
   "metadata": {},
   "outputs": [],
   "source": [
    "btc_historical_df = pd.DataFrame(btc_historical)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6155b0b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "btc_historical_df.columns = ['Open Time', 'Open', 'High', 'Low', 'Close', 'Volume', 'Close Time', 'Quote Asset Volume', \n",
    "                    'Number of Trades', 'TB Base Volume', 'TB Quote Volume', 'Ignore']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8339666c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 262 entries, 0 to 261\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   Open Time           262 non-null    int64 \n",
      " 1   Open                262 non-null    object\n",
      " 2   High                262 non-null    object\n",
      " 3   Low                 262 non-null    object\n",
      " 4   Close               262 non-null    object\n",
      " 5   Volume              262 non-null    object\n",
      " 6   Close Time          262 non-null    int64 \n",
      " 7   Quote Asset Volume  262 non-null    object\n",
      " 8   Number of Trades    262 non-null    int64 \n",
      " 9   TB Base Volume      262 non-null    object\n",
      " 10  TB Quote Volume     262 non-null    object\n",
      " 11  Ignore              262 non-null    object\n",
      "dtypes: int64(3), object(9)\n",
      "memory usage: 24.7+ KB\n"
     ]
    }
   ],
   "source": [
    "btc_historical_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1ccd0239",
   "metadata": {},
   "outputs": [],
   "source": [
    "btc_historical_df['Open Time'] = pd.to_datetime(btc_historical_df['Open Time']/1000, unit='s')\n",
    "btc_historical_df['Close Time'] = pd.to_datetime(btc_historical_df['Close Time']/1000, unit='s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "42eb3451",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open Time</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Close Time</th>\n",
       "      <th>Quote Asset Volume</th>\n",
       "      <th>Number of Trades</th>\n",
       "      <th>TB Base Volume</th>\n",
       "      <th>TB Quote Volume</th>\n",
       "      <th>Ignore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-08-14</td>\n",
       "      <td>4261.48000000</td>\n",
       "      <td>4485.39000000</td>\n",
       "      <td>3850.00000000</td>\n",
       "      <td>4086.29000000</td>\n",
       "      <td>2843.43142600</td>\n",
       "      <td>2017-08-20 23:59:59.999000064</td>\n",
       "      <td>12021576.48265154</td>\n",
       "      <td>13134</td>\n",
       "      <td>2240.24924000</td>\n",
       "      <td>9482742.92094674</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-08-21</td>\n",
       "      <td>4069.13000000</td>\n",
       "      <td>4453.91000000</td>\n",
       "      <td>3400.00000000</td>\n",
       "      <td>4310.01000000</td>\n",
       "      <td>4599.39662900</td>\n",
       "      <td>2017-08-27 23:59:59.999000064</td>\n",
       "      <td>18978983.50987317</td>\n",
       "      <td>37826</td>\n",
       "      <td>1755.53026500</td>\n",
       "      <td>7173180.19744751</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-08-28</td>\n",
       "      <td>4310.01000000</td>\n",
       "      <td>4939.19000000</td>\n",
       "      <td>4124.54000000</td>\n",
       "      <td>4509.08000000</td>\n",
       "      <td>4753.84337600</td>\n",
       "      <td>2017-09-03 23:59:59.999000064</td>\n",
       "      <td>21581679.92866748</td>\n",
       "      <td>35717</td>\n",
       "      <td>1371.03442800</td>\n",
       "      <td>6237542.20612072</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-09-04</td>\n",
       "      <td>4505.00000000</td>\n",
       "      <td>4788.59000000</td>\n",
       "      <td>3603.00000000</td>\n",
       "      <td>4130.37000000</td>\n",
       "      <td>6382.78774500</td>\n",
       "      <td>2017-09-10 23:59:59.999000064</td>\n",
       "      <td>27307824.36893929</td>\n",
       "      <td>42372</td>\n",
       "      <td>2821.42273900</td>\n",
       "      <td>12120979.77068529</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-09-11</td>\n",
       "      <td>4153.62000000</td>\n",
       "      <td>4394.59000000</td>\n",
       "      <td>2817.00000000</td>\n",
       "      <td>3699.99000000</td>\n",
       "      <td>8106.70512700</td>\n",
       "      <td>2017-09-17 23:59:59.999000064</td>\n",
       "      <td>30026796.42861788</td>\n",
       "      <td>50423</td>\n",
       "      <td>3763.12845200</td>\n",
       "      <td>13956149.18844029</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Open Time           Open           High            Low          Close  \\\n",
       "0 2017-08-14  4261.48000000  4485.39000000  3850.00000000  4086.29000000   \n",
       "1 2017-08-21  4069.13000000  4453.91000000  3400.00000000  4310.01000000   \n",
       "2 2017-08-28  4310.01000000  4939.19000000  4124.54000000  4509.08000000   \n",
       "3 2017-09-04  4505.00000000  4788.59000000  3603.00000000  4130.37000000   \n",
       "4 2017-09-11  4153.62000000  4394.59000000  2817.00000000  3699.99000000   \n",
       "\n",
       "          Volume                    Close Time Quote Asset Volume  \\\n",
       "0  2843.43142600 2017-08-20 23:59:59.999000064  12021576.48265154   \n",
       "1  4599.39662900 2017-08-27 23:59:59.999000064  18978983.50987317   \n",
       "2  4753.84337600 2017-09-03 23:59:59.999000064  21581679.92866748   \n",
       "3  6382.78774500 2017-09-10 23:59:59.999000064  27307824.36893929   \n",
       "4  8106.70512700 2017-09-17 23:59:59.999000064  30026796.42861788   \n",
       "\n",
       "   Number of Trades TB Base Volume    TB Quote Volume Ignore  \n",
       "0             13134  2240.24924000   9482742.92094674      0  \n",
       "1             37826  1755.53026500   7173180.19744751      0  \n",
       "2             35717  1371.03442800   6237542.20612072      0  \n",
       "3             42372  2821.42273900  12120979.77068529      0  \n",
       "4             50423  3763.12845200  13956149.18844029      0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btc_historical_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "29685195",
   "metadata": {},
   "outputs": [],
   "source": [
    "btc_historical_df[numeric_columns] = btc_historical_df[numeric_columns].apply(pd.to_numeric, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "09150675",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 262 entries, 0 to 261\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype         \n",
      "---  ------              --------------  -----         \n",
      " 0   Open Time           262 non-null    datetime64[ns]\n",
      " 1   Open                262 non-null    float64       \n",
      " 2   High                262 non-null    float64       \n",
      " 3   Low                 262 non-null    float64       \n",
      " 4   Close               262 non-null    float64       \n",
      " 5   Volume              262 non-null    float64       \n",
      " 6   Close Time          262 non-null    datetime64[ns]\n",
      " 7   Quote Asset Volume  262 non-null    float64       \n",
      " 8   Number of Trades    262 non-null    int64         \n",
      " 9   TB Base Volume      262 non-null    float64       \n",
      " 10  TB Quote Volume     262 non-null    float64       \n",
      " 11  Ignore              262 non-null    object        \n",
      "dtypes: datetime64[ns](2), float64(8), int64(1), object(1)\n",
      "memory usage: 24.7+ KB\n"
     ]
    }
   ],
   "source": [
    "btc_historical_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2ce108f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Quote Asset Volume</th>\n",
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       "  <tbody>\n",
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       "      <th>count</th>\n",
       "      <td>262.000000</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>2.620000e+02</td>\n",
       "      <td>2.620000e+02</td>\n",
       "      <td>2.620000e+02</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>2.620000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>19414.573626</td>\n",
       "      <td>21002.712824</td>\n",
       "      <td>17735.330191</td>\n",
       "      <td>19486.961107</td>\n",
       "      <td>3.769091e+05</td>\n",
       "      <td>8.389880e+09</td>\n",
       "      <td>6.286927e+06</td>\n",
       "      <td>187472.351591</td>\n",
       "      <td>4.145681e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>17366.583996</td>\n",
       "      <td>18600.640524</td>\n",
       "      <td>15846.715030</td>\n",
       "      <td>17342.938148</td>\n",
       "      <td>2.451079e+05</td>\n",
       "      <td>9.376742e+09</td>\n",
       "      <td>6.476514e+06</td>\n",
       "      <td>119696.644205</td>\n",
       "      <td>4.601618e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3229.220000</td>\n",
       "      <td>3557.750000</td>\n",
       "      <td>2817.000000</td>\n",
       "      <td>3228.670000</td>\n",
       "      <td>2.843431e+03</td>\n",
       "      <td>1.202158e+07</td>\n",
       "      <td>1.313400e+04</td>\n",
       "      <td>1371.034428</td>\n",
       "      <td>6.237542e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7014.327500</td>\n",
       "      <td>7683.845000</td>\n",
       "      <td>6456.817500</td>\n",
       "      <td>7047.790000</td>\n",
       "      <td>2.340975e+05</td>\n",
       "      <td>1.898850e+09</td>\n",
       "      <td>1.726291e+06</td>\n",
       "      <td>119024.199356</td>\n",
       "      <td>9.546493e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9982.225000</td>\n",
       "      <td>10794.515000</td>\n",
       "      <td>9215.500000</td>\n",
       "      <td>10085.780000</td>\n",
       "      <td>3.255251e+05</td>\n",
       "      <td>3.503932e+09</td>\n",
       "      <td>4.008143e+06</td>\n",
       "      <td>162018.713738</td>\n",
       "      <td>1.732986e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>34203.847500</td>\n",
       "      <td>36387.500000</td>\n",
       "      <td>29281.270000</td>\n",
       "      <td>34203.842500</td>\n",
       "      <td>4.682187e+05</td>\n",
       "      <td>1.333248e+10</td>\n",
       "      <td>8.805530e+06</td>\n",
       "      <td>234173.565078</td>\n",
       "      <td>6.534274e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>65519.110000</td>\n",
       "      <td>69000.000000</td>\n",
       "      <td>62278.000000</td>\n",
       "      <td>65519.100000</td>\n",
       "      <td>1.386781e+06</td>\n",
       "      <td>5.386617e+10</td>\n",
       "      <td>4.331179e+07</td>\n",
       "      <td>672735.926950</td>\n",
       "      <td>2.591937e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "               Open          High           Low         Close        Volume  \\\n",
       "count    262.000000    262.000000    262.000000    262.000000  2.620000e+02   \n",
       "mean   19414.573626  21002.712824  17735.330191  19486.961107  3.769091e+05   \n",
       "std    17366.583996  18600.640524  15846.715030  17342.938148  2.451079e+05   \n",
       "min     3229.220000   3557.750000   2817.000000   3228.670000  2.843431e+03   \n",
       "25%     7014.327500   7683.845000   6456.817500   7047.790000  2.340975e+05   \n",
       "50%     9982.225000  10794.515000   9215.500000  10085.780000  3.255251e+05   \n",
       "75%    34203.847500  36387.500000  29281.270000  34203.842500  4.682187e+05   \n",
       "max    65519.110000  69000.000000  62278.000000  65519.100000  1.386781e+06   \n",
       "\n",
       "       Quote Asset Volume  Number of Trades  TB Base Volume  TB Quote Volume  \n",
       "count        2.620000e+02      2.620000e+02      262.000000     2.620000e+02  \n",
       "mean         8.389880e+09      6.286927e+06   187472.351591     4.145681e+09  \n",
       "std          9.376742e+09      6.476514e+06   119696.644205     4.601618e+09  \n",
       "min          1.202158e+07      1.313400e+04     1371.034428     6.237542e+06  \n",
       "25%          1.898850e+09      1.726291e+06   119024.199356     9.546493e+08  \n",
       "50%          3.503932e+09      4.008143e+06   162018.713738     1.732986e+09  \n",
       "75%          1.333248e+10      8.805530e+06   234173.565078     6.534274e+09  \n",
       "max          5.386617e+10      4.331179e+07   672735.926950     2.591937e+10  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btc_historical_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f063150d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open Time</th>\n",
       "      <th>Open</th>\n",
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       "      <th>Low</th>\n",
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       "      <th>Close Time</th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-06-19 23:59:59.999000064</th>\n",
       "      <td>2022-06-13</td>\n",
       "      <td>26574.53</td>\n",
       "      <td>26895.84</td>\n",
       "      <td>17622.00</td>\n",
       "      <td>20574.00</td>\n",
       "      <td>1.153718e+06</td>\n",
       "      <td>2.471845e+10</td>\n",
       "      <td>16153967</td>\n",
       "      <td>566051.074843</td>\n",
       "      <td>1.211946e+10</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2022-06-26 23:59:59.999000064</th>\n",
       "      <td>2022-06-20</td>\n",
       "      <td>20574.00</td>\n",
       "      <td>21888.00</td>\n",
       "      <td>19637.03</td>\n",
       "      <td>21038.07</td>\n",
       "      <td>5.708012e+05</td>\n",
       "      <td>1.187015e+10</td>\n",
       "      <td>8827163</td>\n",
       "      <td>283739.016920</td>\n",
       "      <td>5.901368e+09</td>\n",
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       "    <tr>\n",
       "      <th>2022-07-03 23:59:59.999000064</th>\n",
       "      <td>2022-06-27</td>\n",
       "      <td>21038.08</td>\n",
       "      <td>21539.85</td>\n",
       "      <td>18626.00</td>\n",
       "      <td>19315.83</td>\n",
       "      <td>5.085441e+05</td>\n",
       "      <td>1.010746e+10</td>\n",
       "      <td>8098167</td>\n",
       "      <td>251218.840670</td>\n",
       "      <td>4.992634e+09</td>\n",
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       "    <tr>\n",
       "      <th>2022-07-10 23:59:59.999000064</th>\n",
       "      <td>2022-07-04</td>\n",
       "      <td>19315.83</td>\n",
       "      <td>22527.37</td>\n",
       "      <td>19055.31</td>\n",
       "      <td>20862.47</td>\n",
       "      <td>1.111997e+06</td>\n",
       "      <td>2.354096e+10</td>\n",
       "      <td>17338062</td>\n",
       "      <td>557807.344070</td>\n",
       "      <td>1.180818e+10</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2022-07-17 23:59:59.999000064</th>\n",
       "      <td>2022-07-11</td>\n",
       "      <td>20861.11</td>\n",
       "      <td>21684.54</td>\n",
       "      <td>18910.94</td>\n",
       "      <td>20798.16</td>\n",
       "      <td>1.043686e+06</td>\n",
       "      <td>2.122566e+10</td>\n",
       "      <td>28620637</td>\n",
       "      <td>518342.144540</td>\n",
       "      <td>1.054600e+10</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2022-07-24 23:59:59.999000064</th>\n",
       "      <td>2022-07-18</td>\n",
       "      <td>20799.58</td>\n",
       "      <td>24276.74</td>\n",
       "      <td>20762.45</td>\n",
       "      <td>22579.68</td>\n",
       "      <td>1.336219e+06</td>\n",
       "      <td>3.041951e+10</td>\n",
       "      <td>36404041</td>\n",
       "      <td>672735.926950</td>\n",
       "      <td>1.531432e+10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-31 23:59:59.999000064</th>\n",
       "      <td>2022-07-25</td>\n",
       "      <td>22577.13</td>\n",
       "      <td>24668.00</td>\n",
       "      <td>20706.50</td>\n",
       "      <td>23293.32</td>\n",
       "      <td>1.282264e+06</td>\n",
       "      <td>2.921584e+10</td>\n",
       "      <td>36815045</td>\n",
       "      <td>639746.882790</td>\n",
       "      <td>1.458326e+10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-07 23:59:59.999000064</th>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>23296.36</td>\n",
       "      <td>23647.68</td>\n",
       "      <td>22400.00</td>\n",
       "      <td>23174.39</td>\n",
       "      <td>9.511404e+05</td>\n",
       "      <td>2.194315e+10</td>\n",
       "      <td>32042944</td>\n",
       "      <td>472484.292340</td>\n",
       "      <td>1.090234e+10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-14 23:59:59.999000064</th>\n",
       "      <td>2022-08-08</td>\n",
       "      <td>23174.39</td>\n",
       "      <td>25047.56</td>\n",
       "      <td>22664.69</td>\n",
       "      <td>24305.24</td>\n",
       "      <td>1.251083e+06</td>\n",
       "      <td>3.007762e+10</td>\n",
       "      <td>43311786</td>\n",
       "      <td>625522.697680</td>\n",
       "      <td>1.503944e+10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-21 23:59:59.999000064</th>\n",
       "      <td>2022-08-15</td>\n",
       "      <td>24305.25</td>\n",
       "      <td>25211.32</td>\n",
       "      <td>23321.60</td>\n",
       "      <td>23371.24</td>\n",
       "      <td>5.701516e+05</td>\n",
       "      <td>1.372354e+10</td>\n",
       "      <td>18319991</td>\n",
       "      <td>284215.622540</td>\n",
       "      <td>6.841753e+09</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Open Time      Open      High       Low  \\\n",
       "Close Time                                                               \n",
       "2022-06-19 23:59:59.999000064 2022-06-13  26574.53  26895.84  17622.00   \n",
       "2022-06-26 23:59:59.999000064 2022-06-20  20574.00  21888.00  19637.03   \n",
       "2022-07-03 23:59:59.999000064 2022-06-27  21038.08  21539.85  18626.00   \n",
       "2022-07-10 23:59:59.999000064 2022-07-04  19315.83  22527.37  19055.31   \n",
       "2022-07-17 23:59:59.999000064 2022-07-11  20861.11  21684.54  18910.94   \n",
       "2022-07-24 23:59:59.999000064 2022-07-18  20799.58  24276.74  20762.45   \n",
       "2022-07-31 23:59:59.999000064 2022-07-25  22577.13  24668.00  20706.50   \n",
       "2022-08-07 23:59:59.999000064 2022-08-01  23296.36  23647.68  22400.00   \n",
       "2022-08-14 23:59:59.999000064 2022-08-08  23174.39  25047.56  22664.69   \n",
       "2022-08-21 23:59:59.999000064 2022-08-15  24305.25  25211.32  23321.60   \n",
       "\n",
       "                                  Close        Volume  Quote Asset Volume  \\\n",
       "Close Time                                                                  \n",
       "2022-06-19 23:59:59.999000064  20574.00  1.153718e+06        2.471845e+10   \n",
       "2022-06-26 23:59:59.999000064  21038.07  5.708012e+05        1.187015e+10   \n",
       "2022-07-03 23:59:59.999000064  19315.83  5.085441e+05        1.010746e+10   \n",
       "2022-07-10 23:59:59.999000064  20862.47  1.111997e+06        2.354096e+10   \n",
       "2022-07-17 23:59:59.999000064  20798.16  1.043686e+06        2.122566e+10   \n",
       "2022-07-24 23:59:59.999000064  22579.68  1.336219e+06        3.041951e+10   \n",
       "2022-07-31 23:59:59.999000064  23293.32  1.282264e+06        2.921584e+10   \n",
       "2022-08-07 23:59:59.999000064  23174.39  9.511404e+05        2.194315e+10   \n",
       "2022-08-14 23:59:59.999000064  24305.24  1.251083e+06        3.007762e+10   \n",
       "2022-08-21 23:59:59.999000064  23371.24  5.701516e+05        1.372354e+10   \n",
       "\n",
       "                               Number of Trades  TB Base Volume  \\\n",
       "Close Time                                                        \n",
       "2022-06-19 23:59:59.999000064          16153967   566051.074843   \n",
       "2022-06-26 23:59:59.999000064           8827163   283739.016920   \n",
       "2022-07-03 23:59:59.999000064           8098167   251218.840670   \n",
       "2022-07-10 23:59:59.999000064          17338062   557807.344070   \n",
       "2022-07-17 23:59:59.999000064          28620637   518342.144540   \n",
       "2022-07-24 23:59:59.999000064          36404041   672735.926950   \n",
       "2022-07-31 23:59:59.999000064          36815045   639746.882790   \n",
       "2022-08-07 23:59:59.999000064          32042944   472484.292340   \n",
       "2022-08-14 23:59:59.999000064          43311786   625522.697680   \n",
       "2022-08-21 23:59:59.999000064          18319991   284215.622540   \n",
       "\n",
       "                               TB Quote Volume Ignore  \n",
       "Close Time                                             \n",
       "2022-06-19 23:59:59.999000064     1.211946e+10      0  \n",
       "2022-06-26 23:59:59.999000064     5.901368e+09      0  \n",
       "2022-07-03 23:59:59.999000064     4.992634e+09      0  \n",
       "2022-07-10 23:59:59.999000064     1.180818e+10      0  \n",
       "2022-07-17 23:59:59.999000064     1.054600e+10      0  \n",
       "2022-07-24 23:59:59.999000064     1.531432e+10      0  \n",
       "2022-07-31 23:59:59.999000064     1.458326e+10      0  \n",
       "2022-08-07 23:59:59.999000064     1.090234e+10      0  \n",
       "2022-08-14 23:59:59.999000064     1.503944e+10      0  \n",
       "2022-08-21 23:59:59.999000064     6.841753e+09      0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btc_historical_df.set_index('Close Time').tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "06b6512d",
   "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(btc_historical_df.set_index('Close Time').tail(10000), \n",
    "        type='candle', style='charles', \n",
    "        volume=True, \n",
    "        title='BTCUSDT', \n",
    "        mav=(50, 100, 200))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
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