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/stockbee-episodic-pivot-analyzer

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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 handoffs into PEAD monitoring.

Use this Skill: https://skilld.dev/gh/tradermonty/claude-trading-skills/stockbee-episodic-pivot-analyzer

This session only. Nothing lands on disk.

referencesep_methodology.md

≈679 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Stockbee Episodic Pivot Methodology

An Episodic Pivot (EP) is a price/volume revaluation event triggered by a discrete catalyst. The Stockbee-style interpretation emphasizes Day 1 recognition: a large unexpected event causes participants to rapidly reprice a stock, often creating a multi-day or multi-week drift.

EP Families

EP Type Typical Catalyst Notes
EARNINGS_EP Earnings beat, sales/EPS acceleration Strongest when it is the first major acceleration or a beat-and-raise
GUIDANCE_EP Guidance raise or business inflection Often higher quality than a simple quarterly beat
FDA_EP FDA approval, Phase 3 success, PDUFA event High gap risk; require liquidity and risk control
M_AND_A_EP Merger, acquisition, buyout, takeover Often one-day repricing; upside may be capped by deal terms
CONTRACT_EP Large contract/order/customer win Quality depends on size relative to company revenue
PARTNERSHIP_EP Strategic partnership/collaboration Stronger when partner is credible and commercial impact is clear
ANALYST_EP Upgrade, initiation, target raise Usually lower quality unless it confirms a larger theme
PRODUCT_EP Product launch/commercialization Needs evidence of demand or adoption
STORY_EP AI, crypto, nuclear, space, robotics, EV, defense, etc. Can move fast but often has lower fundamental confirmation
SQUEEZE_EP Short squeeze or float squeeze Treat as high-risk; prioritize liquidity and fast review

Day 1 Quality Checklist

A strong Day 1 EP should have most of the following:

  • Discrete catalyst that can change market perception
  • Price gap or same-day move of at least 4%
  • Volume shock, ideally 3x+ average volume or 9M+ absolute shares
  • Close in the upper part of the daily range
  • Risk to EP-day low small enough to size responsibly
  • Prior stock was neglected, basing, or not already extremely extended
  • Liquidity is sufficient for realistic entry and exit

What This Skill Does Not Do

This skill does not decide whether to buy. It ranks and classifies candidates. Before any trade decision, pass candidates through manual catalyst review, chart validation, and risk-based position sizing.

State Interpretation

  • ACTIONABLE_DAY1: Strong catalyst and price/volume confirmation with manageable risk.
  • DAY1_WATCH: Good EP candidate, but needs chart/context confirmation.
  • DELAYED_EP_WATCH: The event is strong but Day 1 risk or close quality is not acceptable; wait for a new base/pullback.
  • CATALYST_WATCH: Catalyst may matter but the price/volume reaction is not confirmed.
  • REJECT: Weak event, weak reaction, low quality, or poor tradability.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub26d

    The Stockbee Episodic Pivot Analyzer is a legitimate tool for financial market analysis. It classifies stock trading candidates by evaluating news catalysts and price-volume action. The skill interacts with the well-known Financial Modeling Prep API for data enrichment and processes local JSON files provided by the user. No malicious code, obfuscation, or data exfiltration attempts were detected.

  • Socket26d

    No alerts

  • Snyk26d

    Risk: LOW · No issues

Signed by skilld at fc9c3f9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 19 hours ago.

Activeupdated 3 months ago

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