# Stockbee Exhaustion Hammer Screener

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

- Repository: https://github.com/tradermonty/claude-trading-skills (3536 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -g -a claude-code -y`
Codex: `npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -g -a codex -y`
Cursor: `npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -g -a cursor -y`
Gemini CLI: `npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -g -a gemini-cli -y`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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:
  ```bash
  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**
```bash
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**
```bash
python3 skills/stockbee-exhaustion-hammer-screener/scripts/screen_exhaustion_hammer.py \
  --symbols APP ENPH NVDA TSLA \
  --market-gate allowed \
  --output-dir reports/
```

The rest: https://github.com/tradermonty/claude-trading-skills/blob/HEAD/skills/stockbee-exhaustion-hammer-screener/SKILL.md