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uptrend-analyzer

Analyze market breadth from Monty's Uptrend Ratio Dashboard CSV data.

2|Updated Apr 6, 2026
Search Tags:#portfolio management#investment analysis#market breadth#uptrend ratio#exposure guidance
One-click install
npx skills add https://github.com/k1064190/stock-expectation --skill uptrend-analyzer-k1064190
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: uptrend-analyzer
Source: https://github.com/k1064190/stock-expectation/tree/main/.claude/skills/uptrend-analyzer
Command: npx skills add https://github.com/k1064190/stock-expectation --skill uptrend-analyzer-k1064190

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill diagnoses market breadth health and provides exposure guidance based on Monty's Uptrend Ratio Dashboard data.

Core Features & Use Cases

  • Market Breadth Analysis: Analyzes market breadth using Monty's Uptrend Ratio Dashboard data.
  • Composite Score: Generates a 0-100 composite score from 5 components: Market Breadth, Sector Participation, Sector Rotation, Momentum, Historical Context.
  • Exposure Guidance: Provides exposure guidance based on market breadth analysis.
  • Use Case: Use this Skill to assess market breadth health and determine the appropriate level of exposure for your portfolio.

Quick Start

Use the uptrend-analyzer skill to analyze market breadth and get exposure guidance.

Frequently Asked Questions about uptrend-analyzer

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

FAQPage Schema
How do I analyze market breadth health for investment portfolio exposure guidance?▼

Market breadth analysis evaluates sector participation, rotation, and momentum to generate a 0-100 composite score for exposure guidance. This score helps determine appropriate portfolio exposure levels by diagnosing overall market conditions.

What is Monty's Uptrend Ratio Dashboard data used for in market analysis?▼

Monty's Uptrend Ratio Dashboard data is used to diagnose market breadth health. It feeds into a composite score combining Market Breadth, Sector Participation, Sector Rotation, Momentum, and Historical Context to guide investment exposure decisions.

Do I need Python and specific libraries to generate a market breadth composite score?▼

Yes, you need Python with pandas, numpy, matplotlib, and requests libraries to process the CSV data and generate the market breadth composite score. These dependencies handle data analysis and report generation for exposure guidance.

How do I use CSV data to assess market breadth and determine portfolio exposure?▼

You load free GitHub CSV data from Monty's dashboard into Python scripts using pandas and numpy. The scripts calculate a composite score from five components and output exposure guidance for your portfolio management decisions.

What components are included in the 0-100 market breadth composite score?▼

The 0-100 composite score includes five components: Market Breadth, Sector Participation, Sector Rotation, Momentum, and Historical Context. These elements combine to assess overall market health and provide investment exposure guidance.

Can I use this market breadth analysis tool for portfolio management without prior investment experience?▼

Market breadth analysis requires understanding investment concepts like sector rotation and momentum. The tool generates a composite score and exposure guidance, but users need basic portfolio management knowledge to interpret and apply the results effectively.

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