About Mito International Trading
A proprietary trading firm specializing in algorithmic trading across US, Chinese, and Indian markets, powered by advanced machine learning algorithms and large language models.
Our Trading Journey
Mito International Trading launched with a focus on quantitative commodity futures trading, building systematic strategies powered by machine learning to capture opportunities across global commodity markets.
We expanded into ETF and options trading, developing multi-factor models and advanced volatility strategies to generate alpha across diversified asset classes.
We entered fundamentals-driven quantitative global macro trading, combining macroeconomic analysis with AI models to navigate cross-border market dynamics across the US, China, and India.
We are expanding into quantitative equity trading, applying our proven AI-driven infrastructure and multi-factor research to capture alpha in global stock markets.
Our Founders
Mito International Trading was built by a team of experienced professionals with deep expertise in quantitative finance, technology, and global markets.
James Li
Founder & CEO
Founded Blackhill Technology Group (HK) and Mito International Trading AI (US) in 2022 to pioneer AI-driven quantitative trading strategies. Nearly a decade on Wall Street as a Quantitative Trader and Portfolio Manager at The Carlyle Group, Moore Capital Management, Morgan Stanley, and Millennium Management — some of the world's most elite financial institutions. Columbia Engineering (SEAS '14).
Expertise
AI-Driven Quantitative Trading, Derivatives Strategies, Portfolio Management
Andy Xue
Co-Founder & CTO
PhD from the University of Melbourne in big data and machine learning, with 8 top-conference publications and 600+ citations. Former Senior Data Scientist at WorldQuant Deep Research. Head of Trading at Optiver for 4 years, building ML prediction systems and ultra-low-latency HFT infrastructure. 6+ years in quantitative trading.
Expertise
Machine Learning, Big Data, High-Frequency Trading, Alpha Research
Kai Jiang
Co-Founder & COO
Tsinghua University (Automation), University of Melbourne MS in Computer Science, with research published in IEEE TKDE. Systems Engineer at Optiver, building large-scale HFT platforms with nanosecond-level latency. Previously led Asia-Pacific operations at a top Wall Street algorithmic trading firm. 5+ years in quantitative trading.
Expertise
Distributed Systems, High-Frequency Trading Infrastructure, Cloud Computing
What Drives Us
Our core values shape our approach to trading and technology development.
Innovation
We continuously push the boundaries of what's possible in algorithmic trading through technological innovation.
Excellence
We uphold the highest standards in our research, technology development, and trading operations.
Global Perspective
We embrace a global view of markets, recognizing the interconnected nature of financial ecosystems.
Meet Our Experts
Our team of quantitative researchers and machine learning engineers brings diverse expertise to our trading operations.
Quantitative Researcher
PhD in Financial Mathematics
Developing statistical models and identifying alpha-generating trading signals across global markets.
Machine Learning Engineer
AI/ML Specialist
Building and optimizing deep learning models for market prediction and natural language processing.
Trading Strategist
Market Analysis Expert
Designing and implementing multi-asset trading strategies with robust risk management frameworks.
Technological Edge
The advanced technologies that power our trading strategies.
High-Performance Computing
Our trading infrastructure is built on high-performance computing systems capable of processing millions of data points per second.
Machine Learning Models
Advanced machine learning algorithms that continuously learn and adapt to changing market conditions.
Large Language Models
State-of-the-art language models that analyze news, social media, and market commentary across multiple languages.