stock-tech-analysis

Community

Turn OHLCV data into actionable stock insights.

Authorhaomingz
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Analyzes OHLCV stock data to compute 17+ technical indicators and generate a comprehensive bullish/bearish signal summary, helping traders and analysts turn raw price data into actionable insights.

Core Features & Use Cases

  • Automated indicator calculation: supports SMA/EMA, MACD, RSI, Bollinger Bands, KDJ, ATR, ADX, OBV, VWAP, MFI, CCI, Williams %R, ROC, TRIX and more for CSV-based OHLCV data.
  • Signal synthesis and verdict: combines multiple indicators into a clear multi-signal summary with a final bullish/neutral/bearish verdict.
  • Flexible reporting: outputs machine-readable JSON and human-friendly text reports; can show the latest row or a set of recent rows for trend analysis.
  • Quick integration: accepts standard OHLCV CSV inputs with columns Open, High, Low, Close, Volume and optional Date, enabling easy automation in stock-analysis pipelines.

Quick Start

Run the Python script with a CSV containing OHLCV data to generate a complete technical-indicator report.

Dependency Matrix

Required Modules

pandasnumpy

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: stock-tech-analysis
Download link: https://github.com/haomingz/kimi-skills/archive/main.zip#stock-tech-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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