choose for live trading and broker connectivity, whereas Qlib focuses on research and backtesting
基于Python的开源量化交易平台开发框架
- 44.7k
- Python
- MIT
quantitative investment / algorithmic trading
Qlib is an AI-oriented quantitative investment platform that provides data, ML models, backtesting, and production deployment for quant research.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose for live trading and broker connectivity, whereas Qlib focuses on research and backtesting
基于Python的开源量化交易平台开发框架
choose for a lightweight AI trading robot with backtesting and live trading
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
choose for multi-asset (crypto/forex/stock) AI trading with multi-agent research
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 for a community-driven multi-agent platform for general financial applications
ValueCell is a community-driven, multi-agent platform for financial applications.
choose for reinforcement-learning-specific quant trading research
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
choose for a Chinese-language full-chain quant framework with live trading
FinHack®,一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
choose for a modular, data-centric quant framework with extensive data support
modular quant framework.
choose to automate a hedge fund using swarm intelligence/AI agents
Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
choose for a simple portfolio backtesting engine without ML capabilities
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
choose for a legacy Python backtesting framework with a GUI
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
choose for a simple deep learning library for stock prediction
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
These projects were analysed and named qlib among their alternatives. The relationship is not symmetric — how qlib rates them is a separate judgement, made when qlib is analysed in its own right.
calls qlib “choose it for Microsoft's mature and battle-tested AI quant research platform with extensive model frameworks.”
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
calls qlib “choose if you need institutional-grade AI modeling and broader market coverage with Microsoft-backed maintenance, though it has a steeper learning curve.”
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
calls qlib “Traditional AI/ML quant platform; choose when you prefer rigorous backtests and factor research over LLM agents.”
TradingAgents: Multi-Agents LLM Financial Trading Framework
calls qlib “AI-oriented quant research platform strong in ML modeling; choose for research/backtest focus, not live trading execution.”
基于Python的开源量化交易平台开发框架
calls qlib “Programmable AI/ML quant research platform; choose it when you want a library-oriented workflow instead of a GUI terminal.”
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
calls qlib “Choose if you need a mature AI research platform with strong ML model zoo and backtesting, not LLM agents.”
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
calls qlib “Choose if you prefer Microsoft's robust AI-oriented quant platform with strong ML modeling and backtesting.”
ValueCell is a community-driven, multi-agent platform for financial applications.
calls qlib “Choose when you need a research platform with AI/ML model pipelines and advanced quant research tools, rather than a simple crypto bot.”
An advanced crypto trading bot written in Python
calls qlib “Choose Qlib when you need a mature, MIT-licensed ML platform for quant research and production without LLM agents.”
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models 🚀