breadth-chart-analyst

Analyze S&P 500 Breadth Index and Uptrend Stock Ratio charts.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive analysis of market breadth charts, offering strategic and tactical insights for investors.

Core Features & Use Cases

  • Breadth Index Analysis: Analyze the S&P 500 Breadth Index and Uptrend Stock Ratio for medium to long-term strategic positioning and short-term tactical timing.
  • Backtested Strategies: Apply proven systematic strategies based on historical patterns.
  • Objective Signal Identification: Focus on clearly defined thresholds, transitions, and markers.
  • English Communication: Conduct all analysis and generate all reports in English.
  • Actionable Recommendations: Provide specific positioning guidance for different investor types.
  • Use Case: An investor wants to understand the market's medium-term strategic and short-term tactical outlook based on breadth indicators.

Quick Start

Use the breadth-chart-analyst skill to analyze the provided market breadth charts and generate a report.

Frequently Asked Questions about breadth-chart-analyst

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

FAQPage Schema
How do I analyze market breadth charts for strategic and tactical investment insights?

Market breadth chart analysis evaluates the S&P 500 Breadth Index and Uptrend Stock Ratio to provide medium to long-term strategic positioning and short-term tactical timing. It applies backtested strategies based on historical patterns to identify clear thresholds and objective signals.

What is the S&P 500 Uptrend Stock Ratio used for in market breadth analysis?

The S&P 500 Uptrend Stock Ratio is used in market breadth analysis to gauge the overall health of the market trend. It helps investors identify objective signal transitions and apply systematic backtested strategies for tactical market timing and strategic positioning.

How do I generate a market breadth report using Python for the S&P 500?

To generate a market breadth report, the Skill parses S&P 500 Breadth Index charts using Python libraries like matplotlib, pandas, and numpy. It then applies backtested strategies to identify objective signals and outputs actionable positioning recommendations in English.

Can I use market breadth indicators for both short-term tactical timing and long-term strategic positioning?

Yes, market breadth indicators support both short-term tactical timing and medium to long-term strategic positioning. By analyzing the S&P 500 Breadth Index and Uptrend Stock Ratio, investors receive specific positioning guidance tailored to different investor types.

What do I need to know before using backtested strategies for market breadth chart analysis?

Before using backtested strategies for market breadth chart analysis, you need knowledge of chart analysis, market indicators, and historical patterns. The Skill utilizes Python libraries for chart parsing and requires an understanding of clearly defined thresholds and objective signal markers.

Are there limitations to using market breadth indicators like the S&P 500 Breadth Index?

Market breadth indicators like the S&P 500 Breadth Index rely on historical patterns for backtested strategies, meaning past performance does not guarantee future results. The analysis focuses on clearly defined thresholds and objective markers, requiring accurate chart parsing via Python libraries.