Agent skill · data analytics · tradermonty
exposure-coach
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.
Why this skill is useful
Adds a comprehensive exposure scoring script that integrates multiple market analysis signals into a unified decision-making framework.
What it needs
Requires python installed locally. Requires fmp account access. About 4k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.
What this skill does
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 FMPAPIKEY 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 toprisk.json Distribution day count, top probability score ftd-detector ftd.json Follow-Through Day quality (market bottom confirmation) theme-detector themedetector.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: The script accepts partial i …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills tradermonty/exposure-coach