# stockbee-exhaustion-hammer-screener

This skill screens US stocks for Stockbee-style selling-exhaustion hammers. Use it to build candidates for manual trade review.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 2600 installs · ★ 3267
- Author: tradermonty
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/stockbee-exhaustion-hammer-screener/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/stockbee-exhaustion-hammer-screener

## What it does

The skill scans US equities for long lower wicks, small bodies, strong close location, and recovery from the day low. It also checks undercut/reclaim setups and pullbacks after recent momentum, while filtering for a controlled pullback rather than a long-term downtrend.

The workflow accepts an FMP universe, explicit symbols, or local JSON files with daily OHLCV data. Live FMP screening needs `FMP_API_KEY`; an offline run can use `--prices-json`. Optional `--profiles-json` adds market-cap and holder data. The script writes JSON and Markdown reports with matched tags, setup scores, reject reasons, entry and stop references, and risk to the stop.

This is a candidate-generation workflow, not a signal service or auto-execution system. Run it only when the market-regime workflow allows new swing risk, or mark the output for manual review. That means checking the chart, earnings or news risk, and trade distance before sending a survivor to `position-sizer`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/stockbee-exhaustion-hammer-screener/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/stockbee-exhaustion-hammer-screener/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/stockbee-exhaustion-hammer-screener/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/stockbee-exhaustion-hammer-screener/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install tradermonty/claude-trading-skills stockbee-exhaustion-hammer-screener
```

2. **Manually: put the files in place**
- File: `.github/skills/stockbee-exhaustion-hammer-screener/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/tradermonty/claude-trading-skills --path skills/stockbee-exhaustion-hammer-screener
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/stockbee-exhaustion-hammer-screener/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/stockbee-exhaustion-hammer-screener/SKILL.md

## When to use it
- screen US stocks for exhaustion hammers
- find undercut/reclaim candidates near the close
- filter symbols by quality and liquidity
- score risk distance to the day-low stop
- export screening results as JSON and Markdown

## Example prompts
- Run the Stockbee exhaustion-hammer screen on APP ENPH NVDA TSLA.
- Use `--fmp-universe` for a near-close scan and write the reports to `reports/`.
- Screen `data/near_close_daily_ohlcv.json` with `data/quality_profiles.json`, then show undercut/reclaim candidates.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 60a0a91c3c569283.

BEGIN THIRD-PARTY FILE 60a0a91c3c569283
````text
---
name: stockbee-exhaustion-hammer-screener
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.
---

# 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
````
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First 2249 of 5409 bytes. © tradermonty · MIT · https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/stockbee-exhaustion-hammer-screener/SKILL.md

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---
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