Study what follows 20% moves in US stocks.
Builds a research history of US stocks moving at least 20%, with catalyst classifications, subsequent outcomes, and recurring patterns.
When to use it
Use for daily mover studies, historical backfills, continuation or reversal research, and building a model book of major stock moves.
Ask for a daily or historical mover study; it creates local research reports and maintains a durable event history, using live data or supplied offline files.
Requires Python 3.9 or later.
Enables live FMP data retrieval; the offline --prices-json path works without it. The bundled requirements specify requests>=2.31.0.
Authenticates live FMP scans through the environment variable, with --api-key as an alternative; offline price files do not require the key.
This skill
FMP
Retrieves US stock market data