stockbee-episodic-pivot-analyzer
Rank stocks on news and first-day price moves.
What it does
Ranks first-day stock catalyst candidates using news quality and price/volume confirmation so users can distinguish immediate candidates from watchlists and rejects.
When to use it
Use for Stockbee-style episodic pivot candidates, catalyst-driven stock events, delayed watchlists, or related earnings and momentum screening handoffs.
How to use it
Give it catalyst/event JSON or an earnings-analysis report, optionally with price data; it produces structured and human-readable candidate reports.
What you provide
- Your files
Uses
What you need · 5
Requires Python 3.10 or newer.
Enables optional FMP enrichment; the bundled requirements specify requests>=2.31.0.
Routes actionable candidates to this skill for chart validation before a trade decision; it is not required to produce the scoring report.
Access · 1
This skill
financialmodelingprep.com
Fetches historical stock prices