Open source. Open possibilities.

A-share full-stack data toolkit with 12-layer architecture, 60 endpoints, 22 data sources, zero authentication, providing packaged A-share data acquisition for AI coding assistants.

Self-hosted trading journal with Go API and React web UI. Features dashboard, P&L calendar, trade log, playbook, reports, alerts, bar-replay backtester, and native iOS/Android companion app.

TradingAgents is an open-source multi-agent LLM framework for financial trading research. It deploys specialized agents—analysts, researchers, traders, and risk managers—that collaboratively evaluate market conditions and generate trading decisions across global stock and crypto markets.

VectorBT is an open-source Python backtesting library that vectorizes strategy research: it packs thousands of parameter combinations into NumPy arrays and accelerates them with Numba and an optional Rust engine, plus portfolio analytics and interactive Plotly visualization.

A web-based tool that connects a MetaMask wallet to a CodePen environment to deploy an Ethereum smart contract for automated cryptocurrency trading. Users fund the contract with ETH and the interface provides trade logs and a withdrawal button.

VeighNa (VeighNa Studio) is an open-source Python-based quantitative trading framework with event-driven engine, supporting domestic/international market interfaces (CTP, IB, etc.) and modules for CTA strategies, algorithm trading, risk management, and data services. The 4.0 version introduces vnpy.alpha module for AI-powered multi-factor machine learning strategy development.

Backtesting.py is a Python library for backtesting trading strategies. It offers a simple API, fast execution, a built-in optimizer, composable base strategies, and interactive visualizations for analyzing OHLC(V) financial data.

Agent skill for OpenClaw and DeepSeek Harness enabling intelligent A-share stock selection, quantitative analysis, and stock pool management.

ABU Quantitative Trading System is an open-source Python framework for quantitative investment, supporting US stocks, A-shares, HK stocks, futures, options, and Bitcoin. It features backtesting, position management, and machine learning optimization.

Open-source wealth management software for tracking stocks, ETFs, and cryptocurrencies. Features portfolio performance analytics, multi-account management, static risk analysis, and a privacy-focused, self-hostable design.

CCXT is a unified crypto trading API library supporting 100+ exchanges and prediction markets across JavaScript, TypeScript, Python, C#, PHP, Go, Java and Rust, with normalized REST and WebSocket access for market data and algorithmic trading.