exposure-coach

Synthesize market analysis signals into a posture summary and exposure ceiling recommendation.

2|Updated Jun 14, 2026
One-click install
npx skills add https://github.com/IhsanDanish25/claude-trading-skills --skill exposure-coach-ihsandanish25
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exposure-coach
Source: https://github.com/IhsanDanish25/claude-trading-skills/tree/main/skills/exposure-coach
Command: npx skills add https://github.com/IhsanDanish25/claude-trading-skills --skill exposure-coach-ihsandanish25

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires argparse, json, datetime, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Exposure Coach Skill synthesizes signals from various market indicators and generates a unified market posture summary to inform trading decisions.

Core Features & Use Cases

  • Market Posture Analysis: Combines multiple signals into a consolidated view of market health.
  • Exposure Management: Determines optimal capital allocation based on market conditions.
  • Decision Support: Provides actionable recommendations for trading strategies.
  • Use Case: Use this skill before entering new positions to understand the overall market stance and decide on the appropriate capital commitment.

Quick Start

Run the exposure-coach skill with the following command: exposure-coach -b reports/breadth_latest.json -u reports/uptrend_latest.json -r reports/regime_latest.json -t reports/top_risk_latest.json -f reports/ftd_latest.json -s reports/theme_latest.json -c reports/sector_latest.json -i reports/institutional_latest.json -o reports/

Frequently Asked Questions about exposure-coach

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate market posture and manage trading exposure across multiple indicators?

Market posture analysis combines multiple upstream market indicator signals into a single consolidated view of market health. It synthesizes inputs like breadth, regime, and institutional flow to determine overall market conditions and guide capital allocation.

How do I run exposure management analysis using Python standard libraries?

Run the exposure management script via command line using Python and argparse, passing multiple JSON report file paths as arguments. The script synthesizes these inputs and outputs an exposure ceiling recommendation to a specified directory.

What market analysis inputs are required for capital allocation recommendations?

Capital allocation recommendations require JSON inputs from eight specific market analysis areas: breadth, uptrend, regime, top risk, follow-through day, theme, sector, and institutional flow. These files provide the upstream signals needed for risk assessment.

Can I use this market analysis tool for real-time trading decisions?

Yes, the market analysis tool is designed for investors to manage trading capital and risk in real-time. It processes the latest JSON report inputs to generate actionable trading decision support based on current market posture.

Does exposure management work without institutional flow and sector data?

No, exposure management requires institutional flow and sector data along with six other specific JSON inputs. The tool synthesizes all eight upstream signals to accurately calculate the market posture summary and generate the exposure ceiling.