Liang Wenfeng, founder of DeepSeek, has seen his private investment funds climb 57% in value over the past year, fueled by a booming quantitative trading sector in China. The surge reflects growing investor confidence in AI-driven financial strategies and technology-backed asset management.
- Liang Wenfeng’s private investment funds gained 57% in value from January 2025 to January 2026
- China’s quant fund AUM reached $142 billion in 2025, up 48% from the prior year
- One fund managed by Liang’s network achieved a Sharpe ratio of 2.8 in the past 12 months
- Over $28 billion in new capital flowed into China’s quant funds in 2025
- AI-driven quantitative models are enabling faster trade execution and improved risk-adjusted returns
- The broader Chinese equity market rose 12% during the same period, underperforming the quant funds
Liang Wenfeng’s investment vehicles posted a 57% increase in net asset value from January 2025 to January 2026, according to internal performance reports. This growth outpaced the broader Chinese equity market, which rose 12% over the same period, highlighting the strong returns generated by AI-powered quantitative trading models deployed across his portfolio. The funds leverage machine learning algorithms to analyze high-frequency market data, enabling rapid trade execution and risk optimization. The rise is part of a larger trend in China’s fintech landscape, where quantitative trading firms have gained traction since 2023. In 2025 alone, the total assets under management (AUM) of China-based quant funds grew by 48%, reaching $142 billion. Major players, including firms backed by DeepSeek’s ecosystem, have attracted institutional capital from pension funds and sovereign wealth entities seeking exposure to algorithmic investment strategies. Key metrics indicate that the performance edge stems from low-latency execution systems and sophisticated signal generation models. One fund managed by Liang’s network reported a Sharpe ratio of 2.8 over the past 12 months, significantly above the industry benchmark of 1.2. This efficiency has drawn attention from both domestic and international investors, with over $28 billion in new capital flowing into quant-focused vehicles in 2025. Market participants note that Liang’s success underscores the increasing integration of artificial intelligence into investment decision-making. As the Chinese financial sector continues to digitize, funds leveraging AI-driven analytics are expected to capture a growing share of market activity, reshaping traditional asset management paradigms.