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.
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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.
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.
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technical-analyst, position-sizer, or trader-memory-coreexport FMP_API_KEY=your_api_key_here
--prices-json containing daily OHLCV bars by symbol.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/
The script detects these trigger families:
close / previous_close >= 1.04, volume above previous day, and volume above the liquidity floorclose - open >= 0.90, volume above the liquidity floorIt then scores setup quality using:
Read the generated JSON and Markdown reports. For each candidate, present:
Use the output conservatively:
technical-analyst for manual chart validation, then position-sizerstockbee_momentum_burst_YYYY-MM-DD_HHMMSS.json - Structured candidate list, metadata, thresholds, score components, and rejectsstockbee_momentum_burst_YYYY-MM-DD_HHMMSS.md - Human-readable report grouped by rating/statereferences/momentum_burst_methodology.md - Stockbee-style method summary and implementation boundariesreferences/scoring_system.md - Component weights, state thresholds, and failure filtersreferences/entry_exit_rules.md - Entry reference, stop, sizing handoff, and exit templateIn these kits
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