stockbee-episodic-pivot-analyzer SKILL.md skillA
stockbee-episodic-pivot-analyzer from tradermonty/claude-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tradermonty/claude-trading-skills/stockbee-episodic-pivot-analyzer@git:20261026.9d4f44cPins git:20261026.9d4f44c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tradermonty/claude-trading-skills
- Path
skills/stockbee-episodic-pivot-analyzer/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261026.9d4f44c, committed Oct 26, 2026
- First version recorded
- Jun 28, 2026
- Size
- 5,270 bytes
- Repository stars
- 3,682
- License
- MIT
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…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file 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 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. …
Read the whole file at its exact version.
How to install
mdr add tradermonty/claude-trading-skills/stockbee-episodic-pivot-analyzer@sha256:70b59bd244d42ed5The line at the top of this page pins the label git:20261026.9d4f44c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_t34uzfwmglhy7avf)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 28, 2026 and Oct 26, 2026, about one every 121 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261026.9d4f44c latest | 2026-10-26 | 9d4f44c | 5,270 B | A | view · diff |
| git:20260628.fc9c3f9 | 2026-06-28 | fc9c3f9 | 4,708 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5270 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tradermonty/claude-trading-skills · 3,682 stars · license MIT · pushed 2026-11-07 · 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/70b59bd244d42ed5b3b00609b2e4764fefefc2aceacd063bcda68a7eb4d756cd
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.