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% brea

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: 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 Mode B: Explicit symbols Mode C: Offline OHLCV JSON 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

stockbee-momentum-burst-screener