AI multi-agent trading
Vibe-Trading is a personal AI trading agent framework that uses multi-agent LLM reasoning for investment analysis, backtesting, shadow trading, and live trading via MCP integration.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose if you prefer an Apache-2.0 multi-asset AI trading platform with built-in crypto/forex support and current development.
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
Choose if you want the established multi-agent LLM trading framework with a large community.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose when you need a research-focused agent with daily reviews and news radar instead of trade execution.
Vibe-Research: Your Personal Trading Research Agent · A股/美股/港股 的个人投研 Agent：每日复盘、资讯雷达、个股数据、板块中心、我的持仓、研究记录、回测。Vibe-Research 把数据和功能配齐，由你自己的 Agent 驱动投资研究。基于开源的 Codex Harness 打造。
Choose if you want a deterministic non-LLM framework with a complete backtest-to-live deployment pipeline.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
Choose if you want a flexible Python library for backtesting and live trading with your own strategies.
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
Choose if you want ML-based trading with a performance-focused backtester.
Algorithmic Trading in Python with Machine Learning
Choose if you need a modular Chinese-market quant framework with data and backtesting.
modular quant framework.
Choose if you want a professional quant library with broker and data vendor integrations.
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Choose if you want a dedicated crypto trading bot with backtesting and live trading.
An advanced crypto trading bot written in Python
Choose if you need high-speed vectorized backtesting rather than an LLM agent.
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose if you need a lightweight event-driven engine without AI dependencies, though unmaintained for 2.5 years.
A Light Event-Driven Algorithmic Trading Engine
Choose if you need a GUI-based backtesting tool and can tolerate a 4-year-old codebase.
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
Choose if you want a battle-tested backtesting-only library and accept no recent maintenance.
Python Backtesting library for trading strategies
Choose for a crypto-only LLM hedge fund agent, narrower than the seed.
AI-Hedge-Fund for Crypto 🚀 AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intelligent decision-making.
Choose if you need a simple algo-trading bot and accept an unmaintained project.
Algo trade project in python
Choose if you want a non-LLM automated trading platform despite it being archived.
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Choose if you need a generic trading bot with backtesting and realtime support, though unmaintained.
Trading bot with support for realtime trading, backtesting, custom strategies and much more.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Choose if you want a ready-to-run LLM stock analysis dashboard with notifications, not a framework.
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.