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442915f847
* feat(Data): create DataSource, DataCollection, added hourly crypto data * fix(Data): hourly data format, loading & config
25 lines
739 B
Python
25 lines
739 B
Python
#%%
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import pandas as pd
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from data_loader.get_prices import get_crypto_price_crypto_compare, get_stock_price_av
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#%%
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crypto_tickers = ["BTC", "ETH", "BNB", "ADA", "SOL", "XRP", "DOT", "LTC", "UNI", "TRX", "XLM", "BCH", "FIL", "ETC", "THETA", "XTZ"]
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etf_tickers = ["GLD", "IEF", "TLT", "SPY", "QQQ"]
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crypto_path = "data/daily_crypto"
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etf_path = "data/daily_etf"
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#%%
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for ticker in etf_tickers:
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print("Fetching ", ticker)
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df = get_stock_price_av(ticker, "2017-11-10")
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df.to_csv(f"{etf_path}/{ticker}.csv", index=True)
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for src_ticker in crypto_tickers:
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print("Fetching ", src_ticker, "USD")
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df = get_crypto_price_crypto_compare(src_ticker, "USD", 1500)
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df.to_csv(f"{crypto_path}/{src_ticker}_USD.csv", index=True)
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