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sector-analyst

Analyze sector rotation and market cycle positioning from CSV data.

1|Updated Feb 18, 2026
Search Tags:#market analysis#data analysis#financial analysis#sector rotation#market cycle
One-click install
npx skills add https://github.com/darkounus90/BOTTX3 --skill sector-analyst-darkounus90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sector-analyst
Source: https://github.com/darkounus90/BOTTX3/tree/main/.agents/skills/sector-analyst
Command: npx skills add https://github.com/darkounus90/BOTTX3 --skill sector-analyst-darkounus90

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive analysis of sector rotation and market cycle positioning, helping users make informed investment decisions.

Core Features & Use Cases

  • Sector Rotation Analysis: Fetches sector uptrend data from CSV and ranks sectors based on uptrend ratios.
  • Market Cycle Assessment: Identifies overbought/oversold conditions and estimates the current market cycle phase.
  • Data-Driven Analysis: Uses public CSV data and optional chart images for supplementary analysis.
  • Use Case: A user could request an analysis of the current market cycle phase and receive a detailed report with sector rankings, risk regime scores, and potential scenarios.

Quick Start

Run the sector-analyst skill to analyze the current market cycle phase and sector rotation.

Frequently Asked Questions about sector-analyst

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

FAQPage Schema
How do I analyze sector rotation and market cycle positioning using CSV data?▼

To analyze sector rotation and market cycle positioning, you fetch sector uptrend data from CSV files and rank sectors based on uptrend ratios to identify current market cycle phases. This process evaluates sector performance and estimates market conditions.

What is market cycle assessment and how does it identify overbought or oversold conditions?▼

Market cycle assessment identifies overbought and oversold conditions by analyzing sector uptrend ratios from CSV data. It estimates the current market cycle phase and calculates risk regime scores to evaluate overall market positioning.

Do I need an API key to run sector rotation analysis with Python?▼

No, you do not need an API key to run sector rotation analysis. The Skill requires Python 3.8 or higher and the requests library to fetch public CSV data, requiring no external API authentication.

Can I use chart images for supplementary data analysis alongside CSV files?▼

Yes, you can use optional chart images for supplementary analysis alongside CSV files. The data-driven analysis combines public CSV sector uptrend data with these visual assets to enhance market cycle evaluation.

What's the best way to evaluate sector performance for investment analysis?▼

The best way to evaluate sector performance for investment analysis is ranking sectors by uptrend ratios fetched from CSV data. This data-driven approach generates detailed reports with sector rankings and potential risk scenarios.

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