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- Repository
- tradermonty/claude-trading-skills3.5k
- 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, ortrader-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-jsoncontaining 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:
