Uptrend Analyzer
Analyzes market breadth using Monty's Uptrend Ratio Dashboard data to diagnose the...
Install
npx skills add tradermonty/claude-trading-skills --skill uptrend-analyzer -g -a claude-code -y- Repository
- tradermonty/claude-trading-skills3.5k
- Category
- Engineering
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 1,474 tokens
- Runs scripts
- Yes, review before use
What it does
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.
Uptrend Analyzer Skill
Purpose
Diagnose market breadth health using Monty's Uptrend Ratio Dashboard, which tracks ~2,800 US stocks across 11 sectors. Generates a 0-100 composite score (higher = healthier) with exposure guidance.
Unlike the Market Top Detector (API-based risk scorer), this skill uses free CSV data to assess "participation breadth" - whether the market's advance is broad or narrow.
When to Use This Skill
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
Prerequisites
- Python 3.9+ with the
requestslibrary (CSV parsing uses the stdlibcsv/iomodules) - Internet connection to fetch CSV data from GitHub (no API key required)
- No paid API subscriptions needed
Difference from Market Top Detector
| Aspect | Uptrend Analyzer | Market Top Detector |
|---|---|---|
| Score Direction | Higher = healthier | Higher = riskier |
| Data Source | Free GitHub CSV | FMP API (paid) |
| Focus | Breadth participation | Top formation risk |
| API Key | Not required | Required (FMP) |
| Methodology | Monty Uptrend Ratios | O'Neil/Minervini/Monty |
Execution 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
