Fetch market data and fundamentals from Yahoo Finance API endpoints.
npx skills add https://github.com/gauss314/skills --skill yahoo-finance-gauss314
Please help me install this Agent Skill. Skill: yahoo-finance Source: https://github.com/gauss314/skills/tree/main/skills/yahoo-finance Command: npx skills add https://github.com/gauss314/skills --skill yahoo-finance-gauss314
This skill solves the instability and dependency issues common with third-party wrappers by providing direct, low-level access to Yahoo Finance's internal API endpoints for financial data.
Use the yahoo-finance skill to fetch the latest quote and fundamental data for the ticker AAPL.
High-intent search queries and answers about installing and using this skill.
Direct HTTP access to Yahoo Finance API endpoints retrieves historical prices without relying on third-party wrappers. By using Python requests and curl_cffi to manage session cookies and CSRF tokens, you fetch OHLCV data robustly.
Batch processing uses a thread-safe token bucket rate limiter to fetch market data for multiple tickers simultaneously. This strictly respects Yahoo's rate limits, preventing IP blocks while efficiently retrieving quotes.
Yes, direct HTTP access retrieves corporate fundamentals and option chains from Yahoo Finance. This low-level approach fetches real-time quotes and fundamental data without heavy library dependencies.
The requests and curl_cffi dependencies manage session cookies and CSRF tokens required by Yahoo Finance's authenticated endpoints. They ensure stable, low-level HTTP access for retrieving market data and corporate fundamentals.
Optimized batch requests with a thread-safe token bucket rate limiter fetch historical prices and fundamentals for multiple stocks. This approach strictly respects Yahoo's rate limits, preventing IP blocks during quantitative analysis pipelines.
Direct access to historical OHLCV data and corporate fundamentals supports backtesting quantitative trading strategies. Rate-limited batch requests ensure stable data retrieval for building robust quantitative analysis pipelines.
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