Hong Kong, Hong Kong S.A.R. May 18, 2025 – The Asia AI Quantitative Trading and Finance Summit commenced today at the Hong Kong Convention and Exhibition Centre. The event brought together leading AI experts, executives from prominent quantitative firms, fintech innovators, regulatory bodies, and venture capitalists to discuss the convergence of artificial intelligence and financial trading platforms, charting the course for the future of this rapidly developing sector.
Co-organized by the Asia Fintech Association and the Hong Kong Monetary Authority, this year’s summit, themed The Algorithmic Era: Reshaping the Quantitative Trading Ecosystem, centered on four key aspects: academia, practical application, regulation, and investment. These highlighted AI’s growing impact on modern finance’s core principles.
Keynote from a Global AI Pioneer
The summit’s opening featured a keynote address by Jürgen Schmidhuber, a distinguished AI scientist and a pioneer in deep learning. His presentation, titled From Neural Networks to Self Learning Trading Agents: The Second AI Revolution in Finance, explored the advancement of AI within financial markets.
“The AI trader of the future will be more than just a tool,” he stated. “It will be an independent market player capable of reasoning and adapting to situations. The most effective systems will leverage structured insights rather than simply relying on vast amounts of data.”
Rising Star from Malaysia: William Wong Impresses Global Audience
A highlight of the summit was the participation of William Wong, a 45-year-old representative from Malaysia and a competitor in the EWAM Global AI Quantitative Challenge. This high-stakes contest showcased leading-edge intelligent trading systems from across the globe.
Wong secured a position in the global top five, surpassing several prominent hedge fund research teams. His success stemmed from his proprietary model, the E DRNN (Evolvable Deep Risk Neural Network).
“The market is more than just a statistical equation; it’s a dynamic game of survival,” Wong explained. “AI is designed to adapt, not just predict. We are developing intelligent systems to withstand volatility, not simply training models to forecast prices.”
His strategy integrates real-time data feedback, sentiment analysis, and adversarial simulation. Currently undergoing testing at EWAM (UK), it has already outperformed conventional quantitative models.
Industry Leaders Share Future Visions
Masayoshi Son, Strategic Advisor to Alibaba China and a renowned tech investor, contributed to the roundtable discussion, AI Leading the Future of Trading. He presented insightful perspectives on AI’s role in reshaping the financial sector.
“AI in trading is about more than just speed or efficiency; it’s about a new way of thinking,” Son said. “The next generation of systems will redefine capital flow and establish an algorithm-based framework for value discovery. Asia should lead in building AI-powered cross-border trading infrastructure.”
He stressed the importance of regional agreement on digital infrastructure and innovative regulatory frameworks.
Linking Academia, Practice, and Regulation
The summit also included a series of advanced panels and workshops, such as:
Generative AI and Autonomous Strategy Development
The AI Finance Lab at the Hong Kong University of Science and Technology shared their latest research on using Transformer models to create nonlinear trading strategies.
AI in Cross-Market Arbitrage and High-Frequency Trading
Representatives from EWAM (UK), Mirae Asset (Korea), and leading Chinese brokerages discussed the adaptability of models and the difficulties of transitioning from readily available data to less accessible data.
Ethics and Oversight of AI Trading Systems
A forum co-hosted by the Hong Kong Securities and Futures Commission, the Bank for International Settlements, and the European Quant Governance Alliance advocated for well-defined ethical guidelines and transparent algorithmic governance.
Strategic Announcements and Future Hosting
In his closing address, summit chair Dr. Michael Lee stated:
“AI isn’t a threat to human traders; it’s a tool that improves market transparency and adaptability. Hong Kong should be a global center for AI-driven finance and a regulatory testbed for innovation.”
Several significant partnerships were announced:
Cyberport Hong Kong and QBrain (South Korea) agreed to jointly develop a cross-border AI quantitative trading incubator.
EWAM (UK) and Qingtong Capital (China) launched a new AI Trading Technology Fund with an initial investment of HK$500 million.
The EWAM Organizing Committee confirmed that the 2026 Global Finals would again be held in Hong Kong.
In addition, the summit released the 2025 White Paper on Asia AI Quantitative Trading Ecosystem. The paper examines emerging algorithmic models, system architecture, security risk frameworks, and five-year industry forecasts.
Conclusion
As one of the most influential AI finance summits in the Asia-Pacific region, the event showcased the latest technological advancements and a growing dedication to international collaboration.
In a world where artificial intelligence is rapidly changing financial markets, Hong Kong is emerging as a crucial hub, connecting technology with capital and data with regulation.
As William Wong put it,
“We are not building machines to beat the market; we are evolving minds to understand it.”
The future of trading will be not only faster but also smarter, more transparent, and more dynamic.
Media Contact
EWAM Organizing Committee
Source :EWAM Organizing Committee
“`