Skills

Stockbee Exhaustion Hammer Screener

Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior...

Install

npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -g -a claude-code -y
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Lightabout 1,398 tokens
Runs scripts
Yes, review before use

What it does

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.

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:
    export FMP_API_KEY=your_api_key_here
    
  • 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

python3 skills/stockbee-exhaustion-hammer-screener/scripts/screen_exhaustion_hammer.py \
  --fmp-universe \
  --max-symbols 300 \
  --market-gate allowed \
  --output-dir reports/

Mode B: Explicit symbols

python3 skills/stockbee-exhaustion-hammer-screener/scripts/screen_exhaustion_hammer.py \
  --symbols APP ENPH NVDA TSLA \
  --market-gate allowed \
  --output-dir reports/
Read the whole SKILL.md on GitHub

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