stockbee-episodic-pivot-analyzer skillA
stockbee-episodic-pivot-analyzer is agent-read markdown (skill) from tradermonty/claude-trading-skills: Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or han.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Stockbee Episodic Pivot Analyzer Classify Day 1 Episodic Pivot (EP) candidates using both **catalyst quality** and **price/volume confirmation**. The skill is a candidate-quality analyzer, not an execution engine. ## When to Use - The user asks for Pradeep Bonde / Stockbee style EP candidates - The user provides earnings, guidance, M&A, FDA, analyst, contract, product, short-squeeze, or theme/news events - The user wants to separate `ACTIONABLE_DAY1` candidates from `DELAYED_EP_WATCH` names - The user wants to hand strong earnings/guidance EPs into `pead-screener` - The user wants to combine catalyst analysis with `stockbee-momentum-burst-screener` price/volume output ## Prerequisites - Python 3.10+ - Optional: FMP API key for OHLCV/profile enrichment - One of: - Catalyst/events JSON - `earnings-trade-analyzer` JSON output - Catalyst JSON plus `stockbee-momentum-burst-screener` JSON enrichment - This skill does not fetch or discover news by itself. If the catalyst is not supplied, first gather the event/news context using the user's preferred news or research process. ## Workflow ### Step 1: Prepare Candidate Inputs Use one or more of these input modes. …
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How to install
mdr add tradermonty/claude-trading-skills/stockbee-episodic-pivot-analyzer@git:20260628.fc9c3f9mdr add tradermonty/claude-trading-skills/stockbee-episodic-pivot-analyzer@sha256:b5eac42930c85f62Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_t34uzfwmglhy7avf)
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Audit of the latest version
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Source
tradermonty/claude-trading-skills · 2,885 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_t34uzfwmglhy7avf GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/stockbee-episodic-pivot-analyzer GET https://markdownregistry.com/api/v1/blob/b5eac42930c85f6225ee29f731a2cb477161564a16f511d5169db57920f98d6d
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