Exposure Coach
Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value...
Install
npx skills add tradermonty/claude-trading-skills --skill exposure-coach -g -a claude-code -y- Repository
- tradermonty/claude-trading-skills3.5k
- Category
- Marketing
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 1,967 tokens
- Runs scripts
- Yes, review before use
What it does
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_KEYenvironment 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:
