2021-12-17 17:41:50 +01:00
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#%%
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import pandas as pd
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2021-12-31 19:04:27 +01:00
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from data_loader.get_prices import get_crypto_price_crypto_compare, get_stock_price_av
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2021-12-17 17:41:50 +01:00
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#%%
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2022-02-20 12:30:53 +01:00
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2021-12-17 17:41:50 +01:00
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etf_tickers = ["GLD", "IEF", "TLT", "SPY", "QQQ"]
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2021-12-31 19:04:27 +01:00
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etf_path = "data/daily_etf"
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2021-12-17 17:41:50 +01:00
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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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2021-12-31 19:04:27 +01:00
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df.to_csv(f"{etf_path}/{ticker}.csv", index=True)
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