Fetch stock prices, fundamentals, options, and screener data from Yahoo Finance via Python.
npx skills add https://github.com/astralform-ai/skills --skill yfinance-astralform-ai
Please help me install this Agent Skill. Skill: yfinance Source: https://github.com/astralform-ai/skills/tree/main/skills/yfinance Command: npx skills add https://github.com/astralform-ai/skills --skill yfinance-astralform-ai
Ticker.history() or batched yf.download(), with documented interval limits and timezone handling. - Fundamentals and Analyst Data: Access income statements, balance sheets, cash flow, earnings estimates, price targets, recommendations, and insider or institutional holdings. - Discovery and Screening: Resolve company names to tickers with yf.Search, browse sectors and industries, and run predefined or custom EquityQuery screens with proper sorting and region scoping. - Use Case: A user asks "compare AAPL and MSFT valuation and pull 1 year of daily prices." The Skill fetches adjusted close prices with yf.download, retrieves P/E and market cap from .info, and presents a normalized comparison with currency and timestamps. ## Quick Start Ask the assistant to pull the current price, market cap, and one year of daily price history for a ticker like AAPL using yfinance.High-intent search queries and answers about installing and using this skill.
Use Ticker.history(period="1y", interval="1d") for one symbol or yf.download(["AAPL", "MSFT"]) for many. Note that yf.download returns MultiIndex columns even for a single ticker; pass multi_level_index=False to get flat columns.
Use t.income_stmt, t.balance_sheet, and t.cashflow on a yfinance Ticker object, with quarterly and TTM variants available. Line items are rows and period-end dates are columns; check membership with `in df.index` before indexing since labels vary by company.
No, yfinance requires no API key and uses Yahoo Finance's publicly available endpoints. It depends on curl_cffi to handle Yahoo's bot protection, and the earnings_dates feature additionally requires installing lxml.
yfinance fails silently by default, so empty DataFrames usually mean a bad or delisted symbol, or an interval range cap was exceeded (e.g., 1m data beyond 8 days). Always check df.empty and set yf.config.debug.hide_exceptions = False to raise errors instead.
Custom EquityQuery screens without a sortField return an arbitrary reverse-alphabetical slice, not the top matches. Always pass sortField (e.g., intradaymarketcap) and scope the region filter to the geography the request implies, deduplicating cross-listings on global screens.
Yahoo data is typically delayed about 15 minutes and is not real-time. yfinance is not affiliated with Yahoo and is intended for personal and research use; commercial redistribution requires reviewing Yahoo's terms of service.
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