Download historical OHLCV and fundamental datasets from Yahoo Finance.
npx skills add https://github.com/wudye/traderAssistHK --skill yfinance-wudye
Please help me install this Agent Skill. Skill: yfinance Source: https://github.com/wudye/traderAssistHK/tree/main/backend/src/skills/yfinance Command: npx skills add https://github.com/wudye/traderAssistHK --skill yfinance-wudye
yfinance eliminates the time-consuming effort of manually gathering market data by providing a single interface to download historical prices and fundamental datasets from Yahoo Finance across US and HK-listed instruments.
Install yfinance and pandas, then download historical daily bars by running the yfinance Python snippet to fetch AAPL from 2025-01-01 to 2026-01-01 and print the first rows.
High-intent search queries and answers about installing and using this skill.
You download historical OHLCV data by specifying source: "yfinance" in the loader, which automatically normalizes tickers like AAPL.US to AAPL and pads HK tickers like 700.HK to 0700.HK to fetch daily or minute-level bars from Yahoo Finance.
Yes, you can retrieve financial statements, institutional holders, major holders, and insider transactions by configuring the YAML frontmatter to access the fundamentals and holdings functions provided by the yfinance interface.
The yfinance loader supports downloading historical market data for US stocks, HK stocks, ETFs, major indices, and FX pairs, allowing you to gather multi-interval OHLCV bars for global instruments.
You track corporate actions by using the loader to pull company info, dividends, splits, and corporate actions from Yahoo Finance, providing the necessary datasets for analysis and model features.
Fetching minute-level OHLCV bars is subject to Yahoo Finance-imposed limits, meaning historical intraday data availability is restricted and you may encounter constraints on how far back you can query minute-level bars.
Yes, you need pandas installed to fetch historical market data, as the quick start requires installing both yfinance and pandas to run the Python snippet that downloads daily bars and prints the first rows.
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