Skills

Stockbee Momentum Burst Screener

Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout...

Install

npx skills add tradermonty/claude-trading-skills --skill stockbee-momentum-burst-screener -g -a claude-code -y
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Lightabout 1,074 tokens
Runs scripts
Yes, review before use

What it does

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:

Read the whole SKILL.md on GitHub

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