yfinance-data

Fetch financial and market data using the yfinance Python library. Use this skill whenever the user asks for stock prices, historical data, financial statements, options chains, dividends, earnings, analyst recommendations, or any market data. Triggers include: any mention of stock price, ticker symbol (AAPL, MSFT, TSLA, etc.), "get me the financials", "show earnings", "what's the price of", "download stock data", "options chain", "dividend history", "balance sheet", "income statement", "cash flow", "analyst targets", "institutional holders", "compare stocks", "screen for stocks", or any request involving Yahoo Finance data. Always use this skill even if the user only provides a ticker — infer intent from context.

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Install skill "yfinance-data" with this command: npx skills add himself65/finance-skills/himself65-finance-skills-yfinance-data

yfinance Data Skill

Fetches financial and market data from Yahoo Finance using the yfinance Python library.

Important: yfinance is not affiliated with Yahoo, Inc. Data is for research and educational purposes.


Step 1: Ensure yfinance Is Available

Before running any code, install yfinance if needed:

import subprocess, sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance"])

Always include this at the top of your script.


Step 2: Identify What the User Needs

Match the user's request to one or more data categories below, then use the corresponding code from references/api_reference.md.

User RequestData CategoryPrimary Method
Stock price, quoteCurrent priceticker.info or ticker.fast_info
Price history, chart dataHistorical OHLCVticker.history() or yf.download()
Balance sheetFinancial statementsticker.balance_sheet
Income statement, revenueFinancial statementsticker.income_stmt
Cash flowFinancial statementsticker.cashflow
DividendsCorporate actionsticker.dividends
Stock splitsCorporate actionsticker.splits
Options chain, calls, putsOptions dataticker.option_chain()
Earnings, EPSAnalysisticker.earnings_history
Analyst price targetsAnalysisticker.analyst_price_targets
Recommendations, ratingsAnalysisticker.recommendations
Upgrades/downgradesAnalysisticker.upgrades_downgrades
Institutional holdersOwnershipticker.institutional_holders
Insider transactionsOwnershipticker.insider_transactions
Company overview, sectorGeneral infoticker.info
Compare multiple stocksBulk downloadyf.download()
Screen/filter stocksScreeneryf.Screener + yf.EquityQuery
Sector/industry dataMarket datayf.Sector / yf.Industry
NewsNewsticker.news

Step 3: Write and Execute the Code

General pattern

import subprocess, sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance"])

import yfinance as yf

ticker = yf.Ticker("AAPL")
# ... use the appropriate method from the reference

Key rules

  1. Always wrap in try/except — Yahoo Finance may rate-limit or return empty data
  2. Use yf.download() for multi-ticker comparisons — it's faster with multi-threading
  3. For options, list expiration dates first with ticker.options before calling ticker.option_chain(date)
  4. For quarterly data, use quarterly_ prefix: ticker.quarterly_income_stmt, ticker.quarterly_balance_sheet, ticker.quarterly_cashflow
  5. For large date ranges, be mindful of intraday limits — 1m data only goes back ~7 days, 1h data ~730 days
  6. Print DataFrames clearly — use .to_string() or .to_markdown() for readability, or select key columns

Valid periods and intervals

Periods1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max
Intervals1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo, 3mo

Step 4: Present the Data

After fetching data, present it clearly:

  1. Summarize key numbers in a brief text response (current price, market cap, P/E, etc.)
  2. Show tabular data formatted for readability — use markdown tables or formatted DataFrames
  3. Highlight notable items — earnings beats/misses, unusual volume, dividend changes
  4. Provide context — compare to sector averages, historical ranges, or analyst consensus when relevant

If the user seems to want a chart or visualization, combine with an appropriate visualization approach (e.g., generate an HTML chart or describe the trend).


Reference Files

  • references/api_reference.md — Complete yfinance API reference with code examples for every data category

Read the reference file when you need exact method signatures or edge case handling.

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