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/stockbee-20pct-study

@85c6305

Build and maintain a Stockbee-style daily 20% mover study for US equities by scanning +20%/-20% movers, classifying catalysts and setup context, updating forward outcomes, and summarizing cohort patterns. Use when the user asks to run a daily 20% study, backfill historical 20% movers, find recurring edge patterns, or build a model book of explosive market moves.

Use this Skill: https://skilld.dev/gh/tradermonty/claude-trading-skills/stockbee-20pct-study

This session only. Nothing lands on disk.

referencesmethodology.md

≈789 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Stockbee 20% Study Methodology

Purpose

The 20% study is a daily market observation routine. Its goal is to build a durable model book of unusual price moves, not to convert every mover into a trade.

The workflow answers three research questions:

  1. Which stocks moved at least +20% or -20% over the selected window?
  2. What catalyst, chart context, liquidity context, and market regime were present?
  3. What happened 1, 3, 5, 10, and 20 trading days later?

Operating Principles

  • Record both winners and failures. Negative examples are necessary for setup fluency.
  • Separate observation, hypothesis, and execution. A 20% mover is an event, not a signal.
  • Classify before optimizing. The first pass should label catalyst and setup context; strategy design comes later.
  • Preserve data-quality flags. Missing bars, current-universe-only backfills, possible splits, and low liquidity change interpretation.
  • Prefer broad, stable cohorts over clever one-off rules.

Daily Review Checklist

For each high-priority mover, review:

  • Catalyst: earnings, guidance, M&A, FDA/clinical, contract, analyst action, short squeeze, theme sympathy, low-float speculation, capital structure, or no clear news
  • Direction: +20% upside event or -20% downside event
  • Window: 1-day, 5-day, or custom lookback
  • Close quality: strong close, midpoint close, weak close, reversal close
  • Volume shock: current volume versus 20-day average volume
  • Liquidity: current dollar volume and 20-day average dollar volume
  • Position in trend: near 52-week high, extended, breaking down, or attempting reversal
  • Setup type: base breakout, gap-and-go, episodic-pivot-like, climax extension, failed breakout, breakdown, or reversal candidate
  • Theme clustering: whether multiple related symbols moved together
  • Follow-up plan: which future horizons should be updated

Daily Cadence

  1. Run scan after the daily bar is complete.
  2. Run enrich when structured catalyst data is available.
  3. Run update-outcomes to mature prior records.
  4. Run summarize after enough records have matured.
  5. Promote only evidence-backed findings into downstream research.

Historical Backfill Cadence

Backfills are useful for initial model-book seeding, but they require stronger data-quality notes. A current listed-symbol universe excludes delisted failures and can materially overstate continuation quality.

The CLI marks backfill records with CURRENT_UNIVERSE_BACKFILL_SURVIVORSHIP_BIAS by default. Use --survivorship-complete only when the supplied OHLCV includes delisted symbols and historical universe coverage.

Minimum backfill notes:

  • Universe source
  • Whether delisted symbols are included
  • Split and corporate-action adjustment source
  • Liquidity filter
  • Date range
  • Lookback window
  • Forward outcome horizons

Interpretation Boundaries

The output is valid as:

  • Study material
  • Event history
  • Cohort evidence
  • Edge-hint input
  • Manual chart-review queue

The output is not valid as:

  • A buy/sell signal
  • A broker order template
  • A guarantee of continuation or reversal
  • A substitute for position sizing, stop design, or regime gating

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub3d

    The skill is a comprehensive market research tool designed to analyze and study significant price movements in US equities. It retrieves market data and news from the Financial Modeling Prep (FMP) API, a legitimate financial data service, or processes local JSON data. The skill adheres to security best practices by managing API credentials through environment variables and command-line arguments, and it contains no evidence of malicious behavior, obfuscation, or unauthorized system access.

  • Socket3d

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  • Snyk3d

    Risk: LOW · No issues

Signed by skilld at 85c6305. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 18 hours ago.

Activeupdated 3 months ago

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