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exposure-coach

Generate a one-page market posture summary from breadth, regime, and flow signals.

1|Updated Feb 18, 2026
Search Tags:#market analysis#risk management#trading signals#portfolio rebalancing#exposure management
One-click install
npx skills add https://github.com/darkounus90/BOTTX3 --skill exposure-coach-darkounus90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exposure-coach
Source: https://github.com/darkounus90/BOTTX3/tree/main/.agents/skills/exposure-coach
Command: npx skills add https://github.com/darkounus90/BOTTX3 --skill exposure-coach-darkounus90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Exposure Coach helps traders assess the market environment and determine the optimal level of capital to commit to equities based on market breadth, regime, and flow signals.

Core Features & Use Cases

  • Market Posture Analysis: Provides a unified exposure recommendation considering breadth, regime, and flow analysis signals.
  • Use Case: Before initiating new positions or at the start of each trading week, use Exposure Coach to understand the overall market sentiment and allocate capital accordingly.

Quick Start

To generate a market posture summary, run the script with the appropriate JSON input files as follows:

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/

Frequently Asked Questions about exposure-coach

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

FAQPage Schema
How do I generate a market posture summary for equity allocation?▼

Generate a market posture summary by running a Python script that integrates breadth, regime, and flow analysis JSON reports into a single exposure recommendation for equity allocation.

What market signals are needed to determine optimal capital commitment?▼

Determining optimal exposure requires market breadth, regime, and flow analysis signals, provided as JSON inputs, to output a unified recommendation for capital commitment.

Do I need a Python environment to analyze market breadth and flow signals?▼

Yes, a Python environment is required to execute the exposure calculation script, which processes JSON signal inputs and outputs the market posture summary for portfolio rebalancing.

When should I run a market exposure analysis before rebalancing my portfolio?▼

Run market exposure analysis before initiating new positions or at the start of each trading week to assess overall market sentiment and adjust equity allocation for portfolio rebalancing.

What file formats are supported for trading signal inputs in exposure management?▼

Exposure management supports JSON file formats for trading signal inputs, including specific reports for breadth, regime, flow, top-risk, FTD, theme, sector, and institutional data.

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