stockbee-20pct-study

To analyze US equities with 20% price movements, this Skill scans significant movers to identify catalysts, summarize outcomes, and classify patterns of +20% and -20% stocks. It requires Python and the FMP API for real-time data to generate detailed event records and cohort summaries.

Yes, you can backfill historical data for 20% stock movers. The Skill handles offline JSON data for historical backfill, allowing you to analyze past significant price movements and identify repeating patterns for algorithmic trading insights.

Yes, you need an FMP API key. The Skill requires the fmpclient dependency and the FMP API to fetch real-time price movement data for scanning and analyzing US equities that have experienced significant 20% price changes.

The best way to group repeating price movement patterns is through cohort summarization. The Skill groups and summarizes stock movements to identify repeating patterns among +20% and -20% movers, outputting cohort summaries and rule candidates for trading insights.

To scan for 20% equity movers, run the Skill with the scan command followed by parameters specifying your desired lookback window and other criteria. This identifies significant US equity price movements and classifies their catalysts and outcomes.

Analyzing significant 20% stock price movements outputs detailed event records, cohort summaries, and rule candidates. These outputs help classify patterns of +20% and -20% movers and summarize their subsequent outcomes for trading insights.