financial terminal / investment research
FinceptTerminal is an open-source finance terminal offering market analytics, investment research, economic data, and AI-driven tools in an interactive desktop application.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Same-class self-hosted AI quant terminal; choose it over the seed for an Apache-2.0 actively developed trading/research platform.
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
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Programmable AI/ML quant research platform; choose it when you want a library-oriented workflow instead of a GUI terminal.
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.
Reinforcement-learning-focused quantitative trading platform; choose it for RL research environments over a general terminal.
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
Extensible quant research-to-live-trading framework; choose it when you need a Python pipeline rather than a GUI terminal.
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。
Multi-agent platform for financial applications; choose it when you need a customizable agent-based finance stack.
ValueCell is a community-driven, multi-agent platform for financial applications.
Live-trading platform/framework especially for China markets; choose it when execution matters more than research terminal features.
基于Python的开源量化交易平台开发框架
Local, AI-centric quant research and trading platform; choose it when you want a Python-based bot/research stack instead of a terminal UI.
[🔥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
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Older, narrower GUI backtesting tool; choose it only if you want a simple local backtesting app and tolerate no recent maintenance.
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
Narrower LLM-based research agent; choose it when you need just an AI research assistant, not a full market-data terminal.
A financial agent for investment research
These projects were analysed and named FinceptTerminal among their alternatives. The relationship is not symmetric — how FinceptTerminal rates them is a separate judgement, made when FinceptTerminal is analysed in its own right.
calls FinceptTerminal “An interactive financial terminal app for market analytics and research, not embeddable.”
An autonomous agent for deep financial research
calls FinceptTerminal “choose it if you want a standalone interactive finance app for analytics rather than an embeddable library.”
[🔥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