stock-screener

stock-screener

Open Source Stock Screening Platform

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Description

# Open Source Stock Screener # Quantitative Investment # Stock Screening # Global Markets # AI Research # US Stocks # Hong Kong Stocks # A Shares # Japanese Stocks # Docker stock-screener is a professional-grade open source stock screening platform, featuring support for 12 major global stock markets, covering US stocks, Hong Kong stocks, A shares, Japanese stocks, Korean stocks, Taiwan stocks, India, Germany, Canada, Singapore, Malaysia, Australia, and more. It integrates over 80 fundamental and technical screening tools, AI theme discovery, market breadth analysis, RRG relative rotation graphs, LLM chatbots, and backtesting systems, making it suitable for trend discovery, strategy screening, market observation, and investment research.

Software Features

- Support for 12 Global Markets: Covers US stocks, Hong Kong stocks, A shares, Japanese stocks, Korean stocks, Taiwan stocks, India, Germany, Canada, Singapore, Malaysia, Australia, and supports independent data and trading calendars.
- 80+ Stock Screeners: Covers strategies such as Minervini, CANSLIM, IPO, price-volume breakouts, etc., allowing for composite scoring screening.
- AI Theme Discovery: Captures trending themes from news, RSS, X, and other sources, providing momentum change alerts.
- Market Breadth Analysis: Built-in StockBee style breadth indicators help assess overall market strength and risk appetite.
- RRG Relative Rotation Graphs: Supports visualization of relative strength across 197 industry groups, facilitating the discovery of sector rotation opportunities.
- Built-in LLM Chatbot: Supports Groq, DeepSeek, Gemini, and can analyze data in conjunction with web searches and market data.
- One-click Docker Deployment: Supports quick local deployment and also provides a daily updated static demo page.
- No API Key Required for Core Scanning: Core stock scanning features can be used directly, lowering the entry barrier.
- Built-in Backtesting System: Allows verification of scanning signals' performance in historical markets, aiding strategy evaluation.