2026 Global AI Quantitative Trading Competition
Organizer:
Morgan Stanley
Phase One
Phase Two
Phase Three
Jörg Kukies
Jörg Kukies is a graduate of Columbia University who initially focused on the aviation and transportation sectors before shifting his focus to Tesla, artificial intelligence, and robotaxis. He currently serves as the Head of Morgan Stanley's operations in Germany and Austria, with oversight of the firm's business across Continental Europe. With over 30 years of investment experience, he has long been responsible for institutional asset allocation and is renowned for his expertise in macro strategy. He frequently forecasts the trajectory of the S&P 500; notably, in 2022, he successfully predicted the sharp decline in the U.S. stock market. In 2026, he returned to Wall Street to join Morgan Stanley.
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Simon
Simon has over 20 years of experience in the global derivatives and structured products field, with expertise spanning risk assessment and management, quantitative analysis, strategic planning, and operational optimization. Simon previously served as the founder and director of Moore Quantitative Solutions. He has also led teams at Commerzbank and ING Barings. Simon holds a Bachelor of Science degree in Mathematics and Calculation from the University of Bath, Somerset, UK
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Vikram Pandit
Simon has over 20 years of experience in the global derivatives and structured products field, with expertise spanning risk assessment and management, quantitative analysis, strategic planning, and operational optimization. Simon previously served as the founder and director of Moore Quantitative Solutions. He has also led teams at Commerzbank and ING Barings. Simon holds a Bachelor of Science degree in Mathematics and Calculation from the University of Bath, Somerset, UK.
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Shannon Bell
Simon has over 20 years of experience in the global derivatives and structured products field, with expertise spanning risk assessment and management, quantitative analysis, strategic planning, and operational optimization. Simon previously served as the founder and director of Moore Quantitative Solutions. He has also led teams at Commerzbank and ING Barings. Simon holds a Bachelor of Science degree in Mathematics and Calculation from the University of Bath, Somerset, UK.
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Arjun Mehta
Arjun Mehta graduated from Stanford University with a Bachelor of Science degree in Economics, specializing in Finance. During his time at Stanford, he received the American Economic Association's "Outstanding Economics Student Award" and served as a research assistant at the Stanford Finance Lab, participating in several financial research projects. He helped found the "Stanford Finance Club" and served as its vice president, organizing numerous financial lectures and seminars. He brought together faculty and students to create a fair, equal, and open platform for exchange and learning. Currently, he utilizes AI quantitative trading models, AI high-frequency trading algorithms, and AI financial prediction models for AI quantitative trading. After 20 years of global market investment and achieving financial independence, Arjun Mehta believes it's time to leverage his experience and expertise to help many individual investors achieve their dream of financial freedom in the coming decades.
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Jeff
Jeff has over 30 years of experience and expertise in financial institutions, providing expert advice in areas such as innovative financing, professional accounting, and derivatives management. Jeff has held key management positions at Goldman Sachs, JPMorgan Chase, Prudential, and Salomon Brothers, and was also a CPA at Deloitte. Jeff holds an MBA in Finance and a Bachelor of Science degree in Accounting from Miami University in Oxford, Ohio.
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Rules Introduction


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The core real-time trading competition phase of this event comprehensively tests traders' real profitability, money management skills, and ability to cope with extreme market environments.

 

Participants will enter an institutional-grade real-time trading environment for the first time, undergo dual verification from the global market, and be judged by a professional system through real market trading.

 

I. Eligibility and Funding Allocation: The top three contestants who win fan votes in the first stage will officially advance to the second stage and receive exclusive deal funding support from the event organizers: $10 million per contestant.

 

II. Transaction Mechanism and Market Scope 1. Transaction Format: On-site transactions will be conducted using dedicated funds allocated by the event organizers. All transaction data will be incorporated into the official event's monitoring and evaluation system.

 

2. Participants can independently choose trading tools and strategy combinations based on their own trading systems and market understanding.

 

III. Core evaluation metrics: Core ranking metric: Cumulative return over the period. Auxiliary evaluation dimensions: Maximum drawdown control, rationality of position and capital management, stability and consistency of strategy, and risk management performance under extreme market conditions.

 

IV. Advancement Rules

 

Advancement Rules: After the second stage, the top three players will be ranked according to their final return rate and will officially advance to the third stage.

 

V. The importance and value of the stage

 

The second phase is not only a competition for returns, but also the ultimate test of institutional-level money management capabilities, a real-world verification of the replicability of trading systems, and a crucial leap from "individual traders" to "global traders".

 

Participants who excel at this stage possess a strong ability to gain access to top-tier global trading systems.