Uptrend Analyzer

Analyzes market breadth using Monty’s Uptrend Ratio Dashboard data to diagnose the current market environment. Generates a 0-100 composite score from 5 components (breadth, sector participation, rotation, momentum, historical context). Use when asking about market breadth, uptrend ratios, or whether the market environment supports equity exposure. No API key required.

No API

Download Skill Package (.skill) View Source on GitHub

Table of Contents

1. Overview
Uptrend Analyzer Skill

1. Overview

Uptrend Analyzer Skill

2. When to Use

English:

User asks “Is the market breadth healthy?” or “How broad is the rally?”
User wants to assess uptrend ratios across sectors
User asks about market participation or breadth conditions
User needs exposure guidance based on breadth analysis
User references Monty’s Uptrend Dashboard or uptrend ratios

Japanese:

「市場のブレドスは健全？」「上昇の裾野は広い？」
セクター別のアップトレンド比率を確認したい
相場参加率・ブレドス状況を診断したい
ブレドス分析に基づくエクスポージャーガイダンスが欲しい
Montyのアップトレンドダッシュボードについて質問

3. Prerequisites

API Key: None required
Python 3.9+ recommended

4. Quick Start

python3 skills/uptrend-analyzer/scripts/uptrend_analyzer.py

5. Workflow

Phase 1: Execute Python Script

Run the analysis script (no API key needed):

python3 skills/uptrend-analyzer/scripts/uptrend_analyzer.py

The script will:

Download CSV data from Monty’s GitHub repository
Calculate 5 component scores
Generate composite score and reports

Phase 2: Present Results

Present the generated Markdown report to the user, highlighting:

Composite score and zone classification
Exposure guidance (Full/Normal/Reduced/Defensive/Preservation)
Sector heatmap showing strongest and weakest sectors
Key momentum and rotation signals

6. Resources

References:

skills/uptrend-analyzer/references/uptrend_methodology.md

Scripts:

skills/uptrend-analyzer/scripts/data_fetcher.py
skills/uptrend-analyzer/scripts/report_generator.py
skills/uptrend-analyzer/scripts/scorer.py
skills/uptrend-analyzer/scripts/uptrend_analyzer.py