QuantMind
An AI-native, multi-market quantitative trading platform for individual developers and research teams.
- Region
- Domestic
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.2k
- Views
- 1
- Source
- GitHub
- Added
- 2026-09-01
- Last verified
- 2026-09-01
Overview
QuantMind is an AI-native, multi-market quantitative trading platform designed for individual developers and research teams. It deeply integrates Microsoft Qlib, RD-Agent factor evolution, and TradingAgents multi-agent research & investment, offering a complete closed-loop workflow from 300+ dimensional factor mining, 13 machine learning and deep learning model factories, Optuna auto-tuning, Qlib high-performance backtesting, cross-sectional batch inference, 7x24 real-time sentiment analysis of market news, to deep integration with Tongdaxin (sector push, alert radar, lightning-order execution) and live simulation trading. Fully supports A-shares, Hong Kong stocks, U.S. stocks, futures, and blockchain markets. The system enables one-click private deployment via Docker Compose, keeping all data and models locally, ensuring strategy privacy with zero barriers or limitations in functionality.
Key features
- ▪300+ dimensional factor mining
- ▪13 machine learning and deep learning models
- ▪Optuna auto-tuning
- ▪Qlib high-performance backtesting
- ▪7x24 real-time sentiment analysis
- ▪Tongdaxin deep integration
Use cases
Pros
- ＋Full support for multi-market
- ＋Integration of multiple AI technologies
- ＋Local data and model storage
- ＋One-click private deployment
Limitations / notes
- －Requires some programming background
- －Online connectivity needed for real-time data
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, QuantMind is an open-source project and available for free use.
Do I need scientific internet access?
No, but online connectivity is required to obtain real-time data.
Is Chinese supported?
Yes, documentation and interface are primarily in Chinese.
Can it be used commercially?
Yes, but must comply with the AGPL v3 license.
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