yfinance-data

Create a Ticker object with yf.Ticker("AAPL") and call ticker.history(period="1mo") for OHLCV data, or use ticker.info and ticker.fast_info for current quotes. For multiple tickers, yf.download() fetches data in parallel with multi-threading.

Use yf.download() with a space-separated ticker string like "AAPL MSFT GOOGL", a date range, and group_by="ticker". It downloads multi-threaded and returns a DataFrame where each ticker's columns are accessible by symbol.

Yes, yfinance exposes options data through ticker.options to list expiration dates and ticker.option_chain(date) to retrieve calls and puts as DataFrames. Columns include strike, bid, ask, volume, openInterest, and impliedVolatility.

Empty results usually mean an invalid or delisted ticker, a date range outside available data, or rate limiting from Yahoo Finance. Wrap calls in try/except, check hist.empty, and add delays between requests when fetching many tickers.

Intraday history is limited: 1-minute bars cover roughly the last 7 days, 2m to 30m intervals about 60 days, and 60m or 1h intervals about 730 days. For longer ranges, use daily, weekly, or monthly intervals.

yfinance returns timezone-aware datetime indices, so comparing with a tz-naive pd.Timestamp raises a TypeError. Either build the comparison timestamp with tz="America/New_York" or strip timezones using index.tz_localize(None).