Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, exhausti

Stockbee Exhaustion Hammer Screener Screen US equities for Stockbee style selling exhaustion hammer 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 exhaustion setup screening User wants near close hammer / long lower wick reversal candidates User wants to scan strong, liquid stocks that pulled back and may be seeing selling exhaustion User wants undercut/reclaim candidates before the close or after the close User provides a symbol list, universe file, or historical / provisional OHLCV JSON for screening User wants candidate outputs to feed into technical analyst , position sizer , trader memory core , or stockbee setup fluency trainer Prerequisites FMP API key for live universe and historical OHLCV screening: Optional no API path: provide prices json containing daily OHLCV bars by symbol. For the intended near close use case, the latest bar should be a provisional current day bar captured near the close. Optional profiles json can add quality metadata such as marketCap , mutualFundHolders , institutionalHolders , or institutionalOwnershipPct . 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 / near close OHLCV JSON For a best effort FMP near close run, use quote override. This costs one additional quote call per symbol and depends on provider freshness: Step 2: Run the Screening Pass The script detects these setup families: Selling exhaustion hammer: long lower wick, small body, strong close location, and recovery from the day low Undercut/reclaim hammer: current low undercuts the prior short term low and the near close price reclaims that level Prior momentum pullback: recent high formed within the configured lookback, followed by a controlled pullback rather than a long term downtrend High quality / liquid context: price, volume, 20 day average dollar volume, market cap metadata, and optional holder metadata It then scores setup quality using: Quality / liquidity Prior momentum Pullback and selling exhaustion context Hammer candle geometry Risk distance to the day low plus buffer Market gate alignment Step 3: Review Output Read the generated JSON and Markdown reports. For each candidate, present: Trigger type and all matched tags Pullback depth from recent high and days since that high Undercut/reclaim status and short term prior low Hammer geometry: lower wick, body, upper wick, close location, recovery from low Volume ratios, average dollar volume, and quality metadata 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: validate chart manually, check earnings/news risk, then send to position sizer B candidates: manual review or next day hammer high confirmation Watch candidates: keep on watchlist / model book; wait for follow through or tighter risk Rejected candidates: retain for post analysis, not for execution Output stockbee exhaustion hammer YYYY MM DD HHMMSS.json Structured candidate list, metadata, thresholds, score components, and rejects stockbee exhaustion hammer YYYY MM DD HHMMSS.md Human readable report grouped by rating/state Resources references/exhaustion hammer methodology.md Stockbee style method summary and implementation boundaries references/scoring system.md Component weights, state thresholds, and failure filters references/near close operations.md Near close operational checklist and scheduling notes

stockbee-exhaustion-hammer-screener