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feat(Data): create DataSource, DataCollection, added hourly crypto data (#96)

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* feat(Data): create DataSource, DataCollection, added hourly crypto data

* fix(Data): hourly data format, loading & config
This commit is contained in:
Mark Aron Szulyovszky
2021-12-31 19:04:27 +01:00
committed by GitHub
parent f762ceed2a
commit 442915f847
59 changed files with 276175 additions and 43473 deletions
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run_fetch_data_daily.py
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#%%
import pandas as pd
from data_loader.get_prices import get_crypto_price_crypto_compare, get_stock_price_av
#%%
crypto_tickers = ["BTC", "ETH", "BNB", "ADA", "SOL", "XRP", "DOT", "LTC", "UNI", "TRX", "XLM", "BCH", "FIL", "ETC", "THETA", "XTZ"]
etf_tickers = ["GLD", "IEF", "TLT", "SPY", "QQQ"]
crypto_path = "data/daily_crypto"
etf_path = "data/daily_etf"
#%%
for ticker in etf_tickers:
print("Fetching ", ticker)
df = get_stock_price_av(ticker, "2017-11-10")
df.to_csv(f"{etf_path}/{ticker}.csv", index=True)
for src_ticker in crypto_tickers:
print("Fetching ", src_ticker, "USD")
df = get_crypto_price_crypto_compare(src_ticker, "USD", 1500)
df.to_csv(f"{crypto_path}/{src_ticker}_USD.csv", index=True)