xang1234/stock-screener

Stock scanner with multiple fundamental and technical criteria. Features 80+ filters, AI chatbot (Groq/DeepSeek/Gemini), theme discovery, and StockBee-style breadth indicators.

What it solves

It provides a comprehensive system for scanning and tracking stocks across 12 global markets, combining technical and fundamental analysis with AI-driven research to help investors identify trends, market health, and high-potential candidates.

How it works

The application integrates data from sources like yfinance, Finviz, and SEC EDGAR to perform multi-market scans using various methodologies (such as CANSLIM and Minervini). It features a market breadth analysis tool, industry group rankings with Relative Rotation Graphs (RRG), and a backtesting page to validate scan picks. AI is integrated via LLM providers (like Groq and Gemini) to identify emerging themes from news and social feeds and to power a research chatbot with web-search capabilities.

Who it’s for

Traders and investors who need a professional-grade tool for global market scanning, sector rotation analysis, and AI-assisted equity research.

Highlights

  • 12-Market Coverage: Independent data and scans for markets including the US, Hong Kong, India, Japan, and more.
  • AI Theme Discovery: Automatically identifies trending and emerging themes from RSS, Twitter/X, and news feeds.
  • AI Research Chatbot: An LLM-powered assistant with persistent conversation history and optional web search.
  • Advanced Technical Tools: Includes Relative Rotation Graphs (RRG) for sector rotation and StockBee-style market breadth indicators.
  • Options Command Center: Specialized analytics for US candidates, including gamma, volatility, and skew views.

Related

  • Project
    jd-opensource/JoySafeter

    An AI-native platform for building and orchestrating security agents to automate complex tasks like vulnerability analysis and penetration testing.

  • Project
    OpenSQZ/GTPlanner

    An AI-powered PRD generator that transforms natural language descriptions into structured technical documentation and SOPs to optimize the performance of AI coding agents.

  • Project
    buildswithpaul/Frappe_Assistant_Core

    An MCP-compatible bridge that lets LLMs securely interact with ERPNext sites to manage invoices, customers, and workflows using natural language.

  • Project
    holoviz/lumen

    An open-source agent-based framework for chatting with data and RAG, enabling users to generate data pipelines and visualizations via natural language.