The 360th Wenlan Financial Forum

Abstract：

Artificial Intelligence in Quantitative Trading: From Generative Models to Discriminative Intelligence

The application of artificial intelligence (AI) technology in quantitative financial trading is becoming increasingly widespread, serving as an important tool to enhance market efficiency and profitability. Through machine learning (ML) and deep learning (DL) algorithms, AI can rapidly analyze vast amounts of financial data and identify potential trading opportunities. AI is also utilized to optimize trade execution strategies, thereby reducing slippage and improving execution efficiency.

With the continuous advancement of computing power and data quality, the application prospects of AI in financial markets are broad, particularly in areas such as high-frequency trading and algorithmic arbitrage. However, this also introduces new challenges, including the risk of model overfitting and sensitivity to market fluctuations. Therefore, to fully realize its potential, the application of AI in quantitative trading must be integrated with specific trading logics and robust risk management approaches.

Speaker Introduction：

Yiming Wang holds a Master's degree in Computer Science and currently serves as the Co-founder of DCP Master Oracle Hedge Fund, which currently manages assets exceeding USD 1.2 billion. With over 15 years of experience in the financial industry, he has worked at internationally renowned institutions such as Merrill Lynch and Knight Capital, accumulating extensive practical expertise in both overseas and domestic quantitative investment.Mr. Wang possesses a solid academic background in computer science and mathematics, with particular expertise in the design of high-frequency trading systems and strategy development. He has long been dedicated to researching the application of machine learning in quantitative trading. Leveraging his cross-market investment management experience, he has developed unique insights and forward-looking judgment capabilities regarding both domestic and international financial markets.