utils/yfinance_utils.py

import yfinance as yf
import pandas as pd
from functools import lru_cache

@lru_cache(maxsize=64)  # Cache up to 64 different ticker/date combinations
def fetch_yfinance_daily(ticker, start_date, end_date):
    try:
        data = yf.download(ticker, start=start_date, end=end_date)
        if data.empty:
            print(f"No data found for {ticker} between {start_date} and {end_date}")
            return None
        print("data type returned:", type(data['Close']))
        return data['Close'][ticker]
    except Exception:
        return None 
    
if __name__ == "__main__":
    print(fetch_yfinance_daily("MSFT", "2020-01-01", "2020-01-10"))