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46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
import pandas as pd
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import yfinance as yf
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import datetime
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import numpy as np
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def make_ticker_list(file_name):
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tickers = open(file_name, 'r')
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tickers = [i.strip() for i in list(tickers)]
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return tickers
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def make_price_files(tickers, start, end, fpath, printing):
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for i in tickers:
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history = yf.download(tickers=i,
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start=start,
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end=end,
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progress=False,
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)
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history.to_csv(fpath + str(i) + '.csv')
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if printing:
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print(str(i))
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def DataGetter(history = 500, fpath="../data/", printing=False, end_date=None,
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ticker_file="test_tickers.txt"):
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if end_date is None:
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end_date = datetime.date.today()
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else:
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end_date = datetime.datetime.strptime(end_date, "%Y-%m-%d").date()
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start_date = end_date - datetime.timedelta(history)
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end_date = str(end_date)
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tickers = make_ticker_list(fpath + ticker_file)
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make_price_files(tickers, start_date, end_date, fpath, printing)
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def GetStockHistory(ticker, end_date=str(datetime.date.today()), history=500):
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end_date = datetime.datetime.strptime(end_date, "%Y-%m-%d").date()
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data = yf.download(tickers=ticker, period='10y', progress=False)
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end_idx = np.where(data.index == pd.to_datetime(end_date))[0][0]
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return data.iloc[end_idx-history:end_idx]
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