Scan 5000+ A-share stocks with Tushare data and generate HTML and JSON reports.
npx skills add https://github.com/MerkyorLynn/Lynn --skill a-share-scanner
Please help me install this Agent Skill. Skill: a-share-scanner Source: https://github.com/MerkyorLynn/Lynn/tree/main/skills2set/a-share-scanner Command: npx skills add https://github.com/MerkyorLynn/Lynn --skill a-share-scanner
It helps investors and analysts quickly screen the entire A-share universe by converting market data into an adaptive, factor-based selection and anomaly ranking, producing a readable report without manual spreadsheet work.
Run the full A-share scan to generate the HTML report by asking the AI to execute the command for a full scan.
High-intent search queries and answers about installing and using this skill.
A-share stock screening with an adaptive factor model scans 5000+ listings via Tushare data, filtering out ST and low-liquidity stocks to produce selection rankings and anomaly detection in an HTML report.
Market regime detection analyzes volatility, momentum, and money-flow bias to dynamically adjust factor weights, ensuring the adaptive model scores stocks based on current market conditions rather than static parameters.
Yes, a Tushare Pro token is required to fetch market data for the 5000+ A-share listings, provided either as a passed token or via the TUSHARE_TOKEN environment variable.
Yes, the scanner supports sector rotation analysis by outputting industry distribution data alongside top picks and anomaly movers, helping you identify shifting sector momentum across the A-share universe.
The machine-readable JSON output contains top picks, anomaly rankings, industry distribution, and regime-driven factor weight explanations for further quantitative analysis and monitoring.
The scanner relies on Tushare API data availability and automatically filters out ST, very low-priced, and low-liquidity stocks, meaning it may not suit strategies targeting distressed or illiquid A-share assets.
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