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market-breadth-analyzer市场广度分析器

Agent Skill

market-breadth-analyzer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,983

周安装

257

GitHub Stars

1,068

下载量

2,097
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:market-breadth-analyzer(市场广度分析器)
来源仓库:https://github.com/tradermonty/claude-trading-skills
仓库路径:skills/market-breadth-analyzer
安装命令:
npx skills add https://github.com/tradermonty/claude-trading-skills --skill market-breadth-analyzer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/tradermonty/claude-trading-skills --skill market-breadth-analyzer

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 等协作信息。

  • 适合在项目维护、代码审核或团队协同中跟踪变更与讨论。
  • 支持对仓库活动进行归纳与状态更新,提升协作效率。
  • 使用前需确认是否具备目标仓库访问权限,防止误操作。
  • 建议查阅原仓库说明以明确支持的命令和功能细节。market-breadth-analyzer 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Market Breadth Analyzer Skill

Purpose

Quantify market breadth health using a data-driven 6-component scoring system (0-100). Uses TraderMonty's publicly available CSV data to measure how broadly the market is participating in a rally or decline.

Score direction: 100 = Maximum health (broad participation), 0 = Critical weakness.

No API key required - uses freely available CSV data from GitHub Pages.

When to Use This Skill

English:

  • User asks "Is the market rally broad-based?" or "How healthy is market breadth?"
  • User wants to assess market participation rate
  • User asks about advance-decline indicators or breadth thrust
  • User wants to know if the market is narrowing (fewer stocks participating)
  • User asks about equity exposure levels based on breadth conditions

Japanese:

  • 「マーケットブレッドスはどうですか?」「市場の参加率は?」
  • 「上昇は広がっている?」「一部の銘柄だけの上昇?」
  • ブレッドス指標に基づくエクスポージャー判断
  • 市場の健康度をデータで確認したい

Prerequisites

  • Python 3.8+ with requests library (for fetching CSV data)
  • Internet access to reach GitHub Pages URLs
  • No API keys required - uses freely available public CSV data

Difference from Breadth Chart Analyst

AspectMarket Breadth AnalyzerBreadth Chart Analyst
Data SourceCSV (automated)Chart images (manual)
API RequiredNoneNone
OutputQuantitative 0-100 scoreQualitative chart analysis
Components6 scored dimensionsVisual pattern recognition
RepeatabilityFully reproducibleAnalyst-dependent

Execution Workflow

Phase 1: Execute Python Script

Run the analysis script:

python3 skills/market-breadth-analyzer/scripts/market_breadth_analyzer.py \
  --detail-url "https://tradermonty.github.io/market-breadth-analysis/market_breadth_data.csv" \
  --summary-url "https://tradermonty.github.io/market-breadth-analysis/market_breadth_summary.csv"

The script will:

  1. Fetch detail CSV (~2,500 rows, 2016-present) and summary CSV (8 metrics)
  2. Validate data freshness (warn if > 5 days old)
  3. Calculate all 6 component scores (with automatic weight redistribution if any component lacks data)
  4. Generate composite score with zone classification
  5. Track score history and compute trend (improving/deteriorating/stable)
  6. Output JSON and Markdown reports

Phase 2: Present Results

Present the generated Markdown report to the user, highlighting:

  • Composite score and health zone
  • Strongest and weakest components
  • Recommended equity exposure level
  • Key breadth levels to watch
  • Any data freshness warnings

6-Component Scoring System

#ComponentWeightKey Signal
1Breadth Level & Trend25%Current 8MA level + 200MA trend direction + 8MA direction modifier
28MA vs 200MA Crossover20%Momentum via MA gap and direction
3Peak/Trough Cycle20%Position in breadth cycle
4Bearish Signal15%Backtested bearish signal flag
5Historical Percentile10%Current vs full history distribution
6S&P 500 Divergence10%Multi-window (20d + 60d) price vs breadth divergence

Weight Redistribution: If any component lacks sufficient data (e.g., no peak/trough markers detected), it is excluded and its weight is proportionally redistributed among the remaining components. The report shows both original and effective weights.

Score History: Composite scores are persisted across runs (keyed by data date). The report includes a trend summary (improving/deteriorating/stable) when multiple observations are available.

Health Zone Mapping (100 = Healthy)

ScoreZoneEquity ExposureAction
80-100Strong90-100%Full position, growth/momentum favored
60-79Healthy75-90%Normal operations
40-59Neutral60-75%Selective positioning, tighten stops
20-39Weakening40-60%Profit-taking, raise cash
0-19Critical25-40%Capital preservation, watch for trough

Data Sources

Detail CSV: market_breadth_data.csv

  • ~2,500 rows from 2016-02 to present
  • Columns: Date, S&P500_Price, Breadth_Index_Raw, Breadth_Index_200MA, Breadth_Index_8MA, Breadth_200MA_Trend, Bearish_Signal, Is_Peak, Is_Trough, Is_Trough_8MA_Below_04

Summary CSV: market_breadth_summary.csv

  • 8 aggregate metrics (average peaks, average troughs, counts, analysis period)

Both are publicly hosted on GitHub Pages - no authentication required.

Output Files

  • JSON: market_breadth_YYYY-MM-DD_HHMMSS.json
  • Markdown: market_breadth_YYYY-MM-DD_HHMMSS.md
  • History: market_breadth_history.json (persists across runs, max 20 entries)

Reference Documents

references/breadth_analysis_methodology.md

  • Full methodology with component scoring details
  • Threshold explanations and zone definitions
  • Historical context and interpretation guide

When to Load References

  • First use: Load methodology reference for framework understanding
  • Regular execution: References not needed - script handles scoring

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.5%
按下载量换算702

Claude

32.25%
按下载量换算676

Cursor

19.85%
按下载量换算416

Gemini CLI

8.92%
按下载量换算187

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可疑

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敏感数据

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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