stock-screener

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

A package that lets you create TradingView screeners in Python

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

KHunter 是一套开箱即用的A股量化交易系统，集数据管理、策略选股、择时交易、风险控制、回测验证于一体，为个人投资者提供从数据到交易的全流程量化解决方案。

A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.

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

Build your own data-driven market edge with swing-trade signal webhooks, dashboards, alerts, AI agents, and automation examples.

MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)

Stock Scanner & Screener: A yfinance-based Stock Scanner and Screener, focusing on Fundamental Properties of scanned stocks.

A collection of notebooks I used in my Medium articles.

Picking stocks through various screening methods. Focus on Northern Europe.

Indian stock market MCP server for NSE & BSE — 55 tools across all 8,200+ stocks: live quotes, financials, technicals, 326-ratio screener, FII/DII flows, option chains & IV, filings, IPOs & portfolio. Remote (OAuth) or npx. Works with Claude, ChatGPT, Cursor, VS Code, Codex & Gemini CLI

A fully automated trading bot which analyses US stock market data with a variety of technical indicators **UPDATE** Crypto trading enabled

This repository enables traders/investors to spot undervalued stocks automatically in the market efficiently to help them maximise their profits.

Screen stocks on fundamentals and estimate their intrinsic value

A python project to fetch stock financials/statistics and perform preliminary screens to aid in the stock selection process

Automated stock screener scanning 3,800+ stocks daily for confirmed Stage 2 uptrends passing 8 strict criteria. Features: smart caching (74% fewer API calls), market regime filtering, automated stop-loss calculation, and GitHub Actions automation. Follows Mark Minervini's Trend Template.

Investment analysis based on the Graham and Buffett value investing methodology

An automated stock screening system which isolates top companies based on time-tested growth criteria.

通达信(TDX)A股金融数据 MCP 插件-v3— 6 个核心工具(实时行情/K线/F10基本面/智能选股/指标/代码检索)+ 45 个投资分析技能,适配 OpenClaw,经真实接口实测。