Extract Historical Cryptocurrency Trading Data (with Python)

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In this video I show you how you can extract historical cryptocurrency price data for 1000+ cryptocurrencies and 100+ exchanges for timeframes of 1 day, 1 hour, 5 minutes, or 1 minute, all that using CCXT.

In particular you will be able to retrieve OHLCV data which corresponds to Open, High, Low, Close, and Volume Data.

You can extract historical data from the following exchanges:
Ace, Alpaca, Ascendex, Bequant, Bigone, Binance, Binancecoinm, Binanceus, Binanceusdm, Bit2c, Bitbank, Bitbns, Bitfinex, Bitfinex2, Bitflyer, Bitforex, Bitget, Bithumb, Bitmart, Bitmex, Bitopro, Bitpanda, Bitrue, Bitso, Bitstamp, Bitstamp1, Bittrex, Bitvavo, Bkex, Bl3p, Blockchaincom, Btcalpha, Btcbox, Btcex, Btcmarkets, Btctradeua, Btcturk, Buda, Bybit, Cex, Coinbase, Coinbaseprime, Coinbasepro, Coincheck, Coinex, Coinfalcon, Coinmate, Coinone, Coinsph, Coinspot, Cryptocom, Currencycom, Delta, Deribit, Digifinex, Exmo, Flowbtc, Fmfwio, Gate, Gemini, Hitbtc, Hitbtc3, Hollaex, Huobi, Huobijp, Idex, Independentreserve, Indodax, Itbit, Kraken, Krakenfutures, Kucoin, Kucoinfutures, Kuna, Latoken, Lbank, Lbank2, Luno, Lykke, Mercado, Mexc, Mexc3, Ndax, Novadax, Oceanex, Okcoin, Okx, Paymium, Phemex, Poloniex, Poloniexfutures, Probit, Ripio, Stex, Tidex, Timex, Tokocrypto, Upbit, Wavesexchange, Wazirx, Whitebit, Woo, Yobit, Zaif, Zb, and Zonda.

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My Github: @zachquant