Fetch Yahoo Finance market data for stocks, indices, ETFs, and FX rates.
npx skills add https://github.com/OpenSucker/OpenSucker --skill yfinance-opensucker
Please help me install this Agent Skill. Skill: yfinance Source: https://github.com/OpenSucker/OpenSucker/tree/main/skills/vibe_skills/yfinance Command: npx skills add https://github.com/OpenSucker/OpenSucker --skill yfinance-opensucker
This Skill provides a straightforward interface for retrieving comprehensive market data, including historical prices, financials, insider transactions, and institutional holdings, from Yahoo Finance, eliminating the need for complex API integrations.
Retrieve the latest daily price data for Apple using yfinance, and analyze the first few rows of the data.
High-intent search queries and answers about installing and using this skill.
You can retrieve Yahoo Finance historical stock prices in Python without an API key by using this Skill to fetch OHLCV data directly. It provides easy access to global market data for stocks, ETFs, and indices, supporting multiple intervals for financial analysis.
For backtesting global stocks and ETFs, you can pull historical OHLCV prices, dividends, splits, financial statements, insider transactions, and institutional holdings. This data supports multiple interval granularities to facilitate quantitative research workflows.
Yes, you can download market data for multiple ticker symbols at once. The Skill supports batch downloads of global stocks, indices, and FX rates, ensuring quick integration into your Python projects for comparative market analysis.
Yes, this approach works for retrieving both US and Hong Kong stock market data. It provides extensive access to global market data, allowing you to fetch financials, real-time quotes, and historical prices for international stocks without complex API integrations.
A limitation of using free Yahoo Finance market data for quantitative analysis is that it provides a basic implementation depth without guarantees on real-time data latency. It is suitable for research workflows but may lack institutional-grade reliability for high-frequency trading.
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