Agent skill · data analytics · tradermonty
stockbee-exhaustion-hammer-screener
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, exhaustion setup, selling exhaustion, hammer reversal, undercut reclaim, near-close reversal candidates, or pullback entries in high-quality funds-owned stocks.
Why this skill is useful
Adds specific screening scripts for identifying Stockbee-style selling-exhaustion hammer setups that the AI wouldn't generate on its own.
What it needs
Requires python3 installed locally. Requires fmp account access. About 3k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.
What this skill does
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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills tradermonty/stockbee-exhaustion-hammer-screener