Yfinance Data
Fetch financial and market data with the yfinance Python library (Yahoo Finance).
Install
npx skills add himself65/finance-skills --skill yfinance-data -g -a claude-code -y- Repository
- himself65/finance-skills3.5k
- Category
- Business
- Updated
- 10d ago
- License
- MIT
- Context cost
- Lightabout 1,131 tokens
- Runs scripts
- No, instructions only
What it does
Fetch financial and market data with the yfinance Python library (Yahoo Finance). Use this skill whenever the user wants stock data: current quotes and price history, financial statements (income statement, balance sheet, cash flow), options chains, dividends and splits, earnings and analyst estimates, price targets and ratings, institutional and insider holdings, news, multi-ticker comparisons, stock screens, or sector and industry data. Use it even when the user gives only a ticker symbol (AAPL, MSFT, TSLA) and the intent has to be inferred. For earnings previews or recaps, estimate revisions, valuation, correlation, liquidity, or ETF premium analysis, prefer the dedicated skill.
yfinance Data Skill
If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the ! wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.
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
Current environment status:
!`python3 -c "exec('try:\n import yfinance\n print(\'yfinance \' + yfinance.__version__ + \' installed\')\nexcept Exception:\n print(\'YFINANCE_NOT_INSTALLED\')')"`
If YFINANCE_NOT_INSTALLED, install it before running any code:
import subprocess, sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance"])
If yfinance is already installed, skip the install step and proceed directly.
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.
