Agent skill · data analytics · tradermonty

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.

Why this skill is useful

Provides domain-specific analysis and scoring methodology for market breadth that the AI wouldn't reliably generate on its own.

What it needs

Requires python installed locally. About 3k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.

What this skill does

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 requests library (CSV parsing uses the stdlib csv/io modules) 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): The script will: 1. Download CSV data from Monty's GitHub repository 2. Calculate 5 component scores 3. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills tradermonty/uptrend-analyzer

View the source on GitHub

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