Quantitative stock scanner with model-driven adaptive factor scoring. Scans ~100 US large/mid-cap stocks via Finnhub API, detects market regime (volatility, momentum, breadth), dynamically adjusts factor weights, and produces ranked selection/anomaly lists with HTML reports. Use for US stock screening, quantitative stock picking, factor analysis, market regime detection, stock scoring, building a model portfolio, or finding momentum/value/quality plays.
$npx -y skills add merkyorlynn/lynn --skill quant-scannerInstalls into the current project.
Run `npx skills use "https://github.com/merkyorlynn/lynn" --skill "merkyorlynn/lynn/quant-scanner"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/merkyorlynn/lynn" that are relevant to the current task. Run `npx skills add "https://github.com/merkyorlynn/lynn"` and select the relevant skills, then follow their instructions.