Our Mission
🔍 Research Excellence
At the intersection of data science and financial markets, we develop cutting-edge algorithms that transform raw data into actionable trading insights.
🤖 AI Innovation
We pioneer the use of large language models and multi-agent systems in algorithmic trading, creating autonomous trading agents that learn and adapt.
🌐 Open Source Impact
Through open-source contributions, we democratize access to advanced trading tools and foster collaboration in the quant community.
Key Achievements
Established as a leading academic lab in algorithmic trading with 12k+ GitHub followers and 91 public repositories. Our flagship Vibe-Trading project has gained widespread industry adoption.
Released Vibe-Trading - the first self-improving trading agent with multi-agent capabilities. Achieved 22k+ stars and 3.9k+ forks, becoming one of the most popular trading AI projects.
Completed comprehensive security audit with 10/10 findings resolved. Implemented advanced sandboxing, authentication, and data protection protocols for trading systems.
Expanded market coverage to include Asia-Pacific markets with A-share integration. Launched multi-channel integrations for Slack, Discord, Telegram, and enterprise platforms.
Research Focus Areas
📊 Algorithmic Trading
Developing novel trading strategies using machine learning, natural language processing, and multi-agent systems. Focus on backtesting, optimization, and risk management.
🧠 AI Agents
Creating autonomous trading agents with memory, learning capabilities, and collaborative workflows. Research in self-improvement and multi-agent coordination.
🔗 Data Integration
Building comprehensive data bridges connecting multiple markets (equities, crypto, futures, forex) with robust data validation and composite backtesting systems.
🛡️ Trading Security
Implementing advanced security measures for trading systems including sandboxed execution, authentication protocols, and privacy-preserving analytics.