ValueCell-ai/valuecell Alternatives

Choose for an all-in-one multi-agent AI trading platform with backtesting, live trading, and broad asset support.

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 a ready-made autonomous hedge fund with swarm-based AI agents for full-cycle automation.

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.

Choose if you want deep integration with Qlib, RD-Agent, and TradingAgents plus Chinese market data via 通达信.

QuantMind（量化大脑）开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 TradingAgents 多智能体投研，提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Optuna 自动调参、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析，到通达信深度联动（板块推送/预警雷达/闪电下单）与实盘模拟交易的完整闭环。全面支持 A股、港股、美股、期货及区块链。系统采用 Docker Compose 一键私有化部署，数据与模型完全本地化，保障策略隐私，功能零门槛无限制。

Choose for a well-known, community-driven AI agent platform from AI4Finance with strong research backing.

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models 🚀

Choose if you need a mature, extensible event-driven quant trading framework in Python.

基于Python的开源量化交易平台开发框架

Choose if you want reinforcement-learning-based trading strategies with research support.

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

Choose if you need a full quant workflow from data and factors to live trading with minimal AI-agent overhead.

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 if you prefer Microsoft's robust AI-oriented quant platform with strong ML modeling and backtesting.

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.

Choose if you want a locally deployable AI quant investment/research platform with crypto focus.

[🔥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 if you want a modular quant framework with data handling and easy factor development.

modular quant framework.

Choose if you want a Python quant system covering stocks, options, futures, and Bitcoin with ML.

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

Choose if you need a comprehensive quant trading system with AI-powered analysis and risk management.

A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management

Choose if you want a clean framework for developing, backtesting, and deploying automated trading algorithms.

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

Choose if you need a high-frequency, low-latency C++ trading platform.

高频量化交易平台 C++ Trade Platform for quant developer 【浮生着甚苦奔忙，量化之路阻且长。 行行代码凝心血，十年辛苦不寻常】

Choose if you want a lightweight integrated trading/backtesting system in C++.

a light-weighted, integrated trading/backtesting system/platform（综合量化交易回测系统/平台）

Choose if you need a mature Python crypto trading bot with backtesting and live execution.

An advanced crypto trading bot written in Python

Choose if you want a focused ML-first algorithmic trading library with a simple API.

Algorithmic Trading in Python with Machine Learning

Choose if you need a high-performance C++/Python quant research framework.

Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。

Choose if you want a backtesting/trading library that supports AI agents and traditional strategies across many asset classes.

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 need a modular quant library with event-driven backtesting and broker 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 need a Kotlin/Java quant trading framework suitable for JVM integration.

Kotlin(Java)开源量化交易开发框架

Choose if you need a composable, real-time market-data and trade-execution toolkit in Elixir.

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine