exposure-coachlisted

# 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 | |