Yfinance Market Datav0.3.3

Individual investor wants to backtest a MACD golden-cross strategy on A-share stocks using historical daily data from EastMoney. The agent fetches 3 years of OHLCV data, computes MACD signals, and runs a backtest to evaluate performance.

A financial analyst needs to compare the performance of US tech stocks (e.g., AAPL, MSFT) with Hong Kong tech stocks (e.g., 9988.HK) over the past year. The agent retrieves historical price data from Yahoo Finance, resamples to weekly intervals, and generates a comparative chart.

A quantitative hedge fund builds an automated pipeline to fetch daily price data for A-share index components (e.g., CSI 300) from multiple data sources (EastMoney, JoinQuant). The agent collects, cleans, and stores data in a MultiIndex DataFrame for factor computation.

A business analyst wants to find the stock code for a company by entering its name, e.g., 'Tencent'. The agent uses fuzzy matching to return the correct Hong Kong stock code (0700.HK) or its US ADR ticker (TCEHY).

A finance student needs historical data for several cryptocurrencies (e.g., BTC-USD, ETH-USD) to analyze volatility patterns. The agent retrieves daily price and volume data, repairs any missing timestamps, and provides clean data for academic projects.

Offer a monthly subscription service that provides automated backtesting strategies, portfolio analytics, and market data alerts using the yfinance-market-data skill. Retail investors can run pre-built strategies on A-share and Hong Kong stocks.

License the data pipeline and factor computation modules to fintech startups that need reliable historical market data for their investment apps. The skill handles data collection, cleaning, and storage, allowing startups to focus on user experience.

Provide consulting services to hedge funds and asset managers who want to integrate automated backtesting into their research workflow. Develop custom factor models and trading strategies using the skill's pipeline, and offer maintenance contracts.