TradingVLA AI Labs

Shaping Tomorrow with Intelligent Innovation

Led by Dr. Yang Li, CEO & Researcher | Ph.D. in Financial Engineering

Pioneering research and education in generative models, algorithmic trading, and machine learning for quantitative finance. Developing flow matching policies (FlowHFT, FlowOE), LLM-based trading agents (FinMem, TradingGPT), and innovative frameworks combining imitation learning with reinforcement learning (FinFlowRL). We develop novel AI solutions for high-frequency trading, market-making, and orderbook modeling (ByteGen), advancing the frontier of intelligent trading systems. Through comprehensive educational programs, courses, and practice problems, we empower the next generation of AI trading professionals.

TradingVLA builds advanced AI systems for vision-language-action modeling, simulation environments, and research-driven software tools.

We provide educational resources, research collaborations, and software frameworks for developers and researchers working in AI, machine learning, and intelligent automation.

We do not offer financial trading services, investment products, or cryptocurrency services.

Recent Research Updates

Explore our latest breakthroughs in AI-powered trading systems and financial technology.

Key Research Areas

Our multidisciplinary research spans cutting-edge AI technologies for intelligent trading systems.

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Vision Language Action

Pioneering research in VLA systems that integrate vision, language, and action for intelligent trading.

Algorithmic Trading logo

Algorithmic Trading

Developing advanced trading algorithms powered by multimodal AI and reinforcement learning.

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Multimodal Learning

Combining visual chart analysis, textual news, and market signals for comprehensive market understanding.

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Reinforcement Learning

Exploring adaptive trading strategies that learn and evolve from market interactions.

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Financial NLP

Natural language processing for analyzing financial news, reports, and market sentiment.

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Computer Vision for Finance

Advanced visual analysis of trading charts, patterns, and market indicators.

Our Journey

A timeline of our key milestones, breakthrough discoveries in VLA trading systems, and research achievements.

Our journey so far

We have been on an incredible journey, and we are excited to share our milestones with you. From our inception to our latest achievements, here is a glimpse into our timeline.

2025

A breakthrough year with multiple publications advancing the frontier of AI in quantitative finance.

📄 FinFlowRL- Published at NeurIPS Workshop on Generative AI in Finance. Two-stage framework combining MeanFlow generative policy networks with PPO for adaptive market-making.
📄 FinMem- IEEE Transactions on Big Data (Early Access). Performance-enhanced LLM trading agent with layered memory system improving decision accuracy.
📄 FlowHFT- arXiv preprint. Pioneered flow matching approach for optimal high-frequency trading with state-of-the-art performance.
📄 FlowOE- Submitted to Journal of Quantitative Finance. Generative imitation learning framework for optimal execution with superior cost efficiency.
📄 ByteGen- Working Paper. Novel tokenizer-free generative model for orderbook events using hybrid H-Net and Mamba-Transformer architecture.

2024

Established foundation for multi-agent LLM trading systems with breakthrough research.

📄 TradingGPT- Published at ICAIF Workshop on Multimodal Financial Foundation Models. Multi-agent system with layered memory and distinct characteristics for enhanced trading performance. Combined retrieval-augmented financial text understanding with structured market data encoding.

This foundational work laid the groundwork for subsequent research in LLM-based trading agents and flow matching policies.

Research Foundation

TradingVLA AI Labs was established with a vision to revolutionize algorithmic trading through cutting-edge AI research.

✅ Focus on generative models and machine learning for quantitative finance
✅ Research in flow matching, imitation learning, and reinforcement learning
✅ Development of LLM-based trading agents and optimal execution strategies

Meet The Founder

Leading innovation in AI-powered trading systems

Yang Li
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