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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
TranslatedAn open-source quantitative trading platform development framework based on Python
Free and Open Source Enterprise Resource Planning (ERP)
"Vibe-Trading: Your Personal Trading Agent"
TranslatedAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open-source financial data interface library
TuShare is a utility for crawling historical data of China stocks
The most complete open-source, self-hosted Agentic Trading OS—AI research, Python strategies, factor discovery, backtesting, optimization, paper/live multi-asset execution, risk controls, monitoring, MCP, and multi-tenant SaaS in one auditable stack.
TranslatedA-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources. Full-stack A-share data toolkit: market quotes and K-lines · same-day tick-by-tick trades · research reports · signals · capital flow · news · financials · announcements · limit-up board trading (打板) · ETF options · public sentiment · macro and interest rates · futures and block trades (including Dalian Commodity Exchange daily K-lines) · event-driven · convertible bonds | No API key needed except for iwencai
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Polar — A billing platform for the intelligence era
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
High-performance TensorFlow library for quantitative finance.
modular quant framework.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Fava - web interface for Beancount
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
TranslatedPanWatch — AI stock monitoring for A-shares, HK & US markets, powered by TradingAgents. Portfolio insights, real-time alerts & automated reports.
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
TranslatedA lightweight USDT/USDC payment gateway with multi-chain support, integration guides, SDK documentation, and merchant demos.
Python live trade execution library with zipline interface.
SHKeeper is a self-hosted and open-source cryptocurrency gateway payment processor. It's integrate with popular CMS, any e-commerce, your own code or product
TranslatedShanghai Future CTP Interface CTP Python API Wrapper
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents