# exposure-coach

Generates a Market Posture summary with an equity exposure ceiling and portfolio bias from breadth, regime, and flow signals.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 3200 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/exposure-coach/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/exposure-coach

## What it does

The skill synthesizes outputs from breadth, trend, macro regime, and top risk analyzers into a unified posture report. Its orchestrator script, `scripts/calculate_exposure.py`, parses these JSON inputs to calculate an equity exposure ceiling between 0 and 100%. The resulting summary classifies market participation as broad or narrow, sets a Growth versus Value bias, and assigns an action tag: `NEW_ENTRY_ALLOWED`, `REDUCE_ONLY`, or `CASH_PRIORITY`.

Running the engine requires Python 3.9+ and an `FMP_API_KEY` environment variable when tracking institutional flow data. Missing or malformed input files reduce calculation confidence and apply a haircut to exposure. Never override missing inputs manually. Doing so skews portfolio risk controls.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a claude-code
```

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

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a codex
```

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

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a cursor
```

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

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install tradermonty/claude-trading-skills exposure-coach
```

2. **Manually: put the files in place**
- File: `.github/skills/exposure-coach/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill exposure-coach -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/tradermonty/claude-trading-skills --path skills/exposure-coach
```

### Windsurf (Devin Desktop)

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

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill exposure-coach -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/exposure-coach/SKILL.md

## When to use it
- calculate the maximum equity exposure ceiling before entering trades
- identify portfolio tilt between growth and value stocks
- synthesize conflicting market breadth and top risk signals
- detect when to enforce a cash-priority posture

## Example prompts
- Run calculate_exposure.py using the latest reports in the reports directory
- Assess our current equity exposure ceiling based on breadth and regime signals
- Generate a Market Posture summary to check if new stock entries are allowed

## Source text · SKILL.md · MIT

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BEGIN THIRD-PARTY FILE 965b61ccb0317fd6
````text
---
name: exposure-coach
description: Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.
---

# Exposure Coach

## Overview

Exposure Coach synthesizes outputs from market-breadth-analyzer, uptrend-analyzer, macro-regime-detector, market-top-detector, ftd-detector, theme-detector, sector-analyst, and institutional-flow-tracker into a unified control-plane decision. The skill answers the solo trader's core question: "How much capital should I commit to equities right now?" before any individual stock analysis begins.

## When to Use

- Before initiating any new stock positions to determine appropriate capital commitment
- At the start of each trading week to calibrate portfolio exposure
- When multiple market signals conflict and a unified posture is needed
- After significant macro or market events to reassess exposure ceiling
- When transitioning between market regimes (broadening, concentration, contraction)

## Prerequisites

- Python 3.9+
- FMP API key (set `FMP_API_KEY` environment variable) for institutional-flow-tracker data
- Input JSON files from upstream skills (see Workflow Step 1)
- Standard library + `argparse`, `json`, `datetime`

## Workflow

### Step 1: Gather Upstream Skill Outputs

Collect the most recent JSON outputs from integrated skills. Each file provides a specific signal dimension:

| Skill | Output File Pattern | Signal Provided |
|-------|---------------------|-----------------|
| market-breadth-analyzer | `breadth_*.json` | Advance/decline ratios, new highs/lows |
| uptrend-analyzer | `uptrend_*.json` | Uptrend participation percentage |
| macro-regime-detector | `regime_*.json` | Current regime (Concentration, Broadening, etc.) |
| market-top-detector | `top_risk_*.json` | Distribution day count, top probability score |
| ftd-detector | `ftd_*.json` | Follow-Through Day quality (market bottom confirmation) |
| theme-detector | `theme_detector_*.json` or `theme_*.json` | Active investment themes and rotation |
| sector-analyst | `sector_*.json` | Sector performance rankings |
| institutional-flow-tracker | `institutional_*.json` | Net institutional buying/selling |

### Step 2: Run Exposure Scoring Engine

Execute the exposure scoring script with paths to upstream outputs:

```bash
python3 skills/exposure-coach/scripts/calculate_exposure.py \
  --breadth reports/breadth_latest.json \
  --uptrend reports/uptrend_latest.json \
  --regime reports/regime_latest.json \
  --top-risk reports/top_risk_latest.json \
  --ftd reports/ftd_latest.json \
  --theme reports/theme_latest.json \
  --sector reports/sector_latest.json \
  --institutional reports/institutional_latest.json \
  --output-dir reports/
```
````
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