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/stockbee-momentum-burst-screener

Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde,

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claude-trading-skills
3k74 skills2 agents2 commands
Install
$ npx -y skills add tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/stockbee-momentum-burst-screener

Context preview

The summary Claude sees to decide when to auto-load this skill.

Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde,

SKILL.md

stockbee-momentum-burst-screener.SKILL.md
name: stockbee-momentum-burst-screener
description: Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.

Stockbee Momentum Burst Screener

Screen US equities for Stockbee-style short-term Momentum Burst candidates. The skill is a candidate-generation and setup-quality workflow, not a signal service or an auto-execution system.

When to Use

  • User asks for Stockbee / Pradeep Bonde style Momentum Burst screening
  • User wants 4% breakout, dollar breakout, or range expansion candidates
  • User asks for short-term 3-5 day swing momentum setups
  • User wants to review whether a daily breakout has A/B/C setup quality
  • User provides a symbol list, universe file, or historical OHLCV JSON for screening
  • User wants candidate outputs to feed into `technical-analyst`, `position-sizer`, or `trader-memory-core`

Prerequisites

  • FMP API key for live universe and historical OHLCV screening:
  export FMP_API_KEY=your_api_key_here
  • Optional no-API path: provide `--prices-json` containing daily OHLCV bars by symbol.
  • Run only after the market-regime workflow allows new swing risk, or mark output as manual-review-only.

Workflow

Step 1: Choose Input Mode

Use one of three modes:

**Mode A: FMP universe scan**

python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
  --fmp-universe \
  --max-symbols 300 \
  --output-dir reports/

**Mode B: Explicit symbols**

python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
  --symbols NVDA SMCI PLTR TSLA \
  --output-dir reports/

**Mode C: Offline OHLCV JSON**

python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
  --prices-json data/daily_ohlcv.json \
  --output-dir reports/

Step 2: Run the Screening Pass

The script detects these trigger families:

  • **4% Breakout:** `close / previous_close >= 1.04`, volume above previous day, and volume above the liquidity floor
  • **Dollar Breakout:** `close - open >= 0.90`, volume above the liquidity floor
  • **Range Expansion:** current daily range exceeds the prior three daily ranges while the prior day was not already extended

It then scores setup quality using:

  • Trigger strength
  • Volume expansion
  • Prior base / range contraction quality
  • Close location near the high of day
  • Risk distance to the trigger-day low
  • Failure filters such as prior 3-day run-up or recent 4% breakdown
  • Market gate alignment

Step 3: Review Output

Read the generated JSON and Markdown reports. For each candidate, present:

  • Trigger type and all matched trigger tags
  • Day gain, dollar gain, volume ratio, and close-location percentage
  • Prior base length and base width
  • Entry reference, stop reference, and risk percentage to stop
  • Setup score, rating, state, and reject reasons
  • Suggested downstream action

Step 4: Send Survivors to Trade Planning

Use the output conservatively:

  • **A / A- candidates:** send to `technical-analyst` for manual chart validation, then `position-sizer`
  • **B candidates:** watchlist or smaller-risk review only
  • **Watch-only candidates:** keep in model book; do not plan a trade unless chart review upgrades the setup
  • **Rejected candidates:** retain for post-analysis, not for execution

Output

  • `stockbee_momentum_burst_YYYY-MM-DD_HHMMSS.json` - Structured candidate list, metadata, thresholds, score components, and rejects
  • `stockbee_momentum_burst_YYYY-MM-DD_HHMMSS.md` - Human-readable report grouped by rating/state

Resources

  • `references/momentum_burst_methodology.md` - Stockbee-style method summary and implementation boundaries
  • `references/scoring_system.md` - Component weights, state thresholds, and failure filters
  • `references/entry_exit_rules.md` - Entry reference, stop, sizing handoff, and exit template
Read more
Ships withclaude-trading-skills

Claude Trading Skills started as a personal project to use AI to improve my own trading process. Claude Trading Skills is a Claude Skills-based trading workflow toolkit for time-constrained individual investors.

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