The quantitative investment landscape is undergoing a profound transformation, with leading players fully embracing artificial intelligence. Amidst the deep integration of finance and technology, quantitative investing often faces criticism as a "black box" that amplifies market volatility. However, cutting through the noise of fragmented information and occasional misinterpretations reveals a cohort of technology-driven, licensed, and compliant quantitative firms reshaping the industry. Recently, a company named Gaoying Quantitative has drawn attention as one of its fund products ranked among the top three globally for returns. According to Morgan Hedge's statistics covering nearly ten thousand global hedge funds, as of May 31, 2026, the Gaoying Quantitative Going Algo SP 2-Class M fund achieved a remarkable three-year return of 222.94%, securing the second position worldwide. What's less known is that this success is not a fluke but the result of a decade-long dedication to technological advancement and a comprehensive revolution spanning from microsecond-level trading hardware to AI large model strategies. By examining Gaoying Quantitative's technological foundation, assets under management, and ecosystem strategy, we can discern the core values a fintech company should uphold in the AI era.
Understanding an Atypical Quantitative Firm's Foundation
To comprehend Gaoying Quantitative, one must first move beyond the stereotypical view of quantitative firms as unrefined opportunists. Unlike many private equity firms operating discreetly, Gaoying Quantitative's core structure is powered by a dual-engine of "finance + technology," with its financial arm strictly operating under the regulatory framework of Hong Kong's Securities and Futures Commission (SFC). Public information shows that Gaoying Quantitative's financial division is positioned as an "AI-driven quantitative trading asset management institution," holding a Type 9 (Asset Management) license issued by the SFC, with a central entity number of BGA871. This authorization allows Gaoying Quantitative to conduct asset management business compliantly, with an investment scope covering multiple mature markets including Hong Kong, the US, Japan, Singapore, and Europe. As of June 2026, the company's assets under management have surpassed $3.2 billion (approximately RMB 21.8 billion).
Gaoying Quantitative is not merely a buy-side asset manager; it also plays the role of an AI infrastructure builder. Leveraging artificial intelligence, big data, and cloud computing technologies, the company has independently established an AI laboratory and data center, offering high-performance backtesting cloud computing services and enterprise management SaaS solutions to the market. This foundational "selling picks and shovels" technological layer grants Gaoying Quantitative an engineering perspective far exceeding that of traditional asset managers in terms of practical implementation and computational power infrastructure. This model of "self-research for internal use and external empowerment" provides substantial ammunition for the company to subsequently break through technical barriers.
A Leap in AI Methodology
A common public misconception about quantitative investment is equating it simplistically with high-frequency trading, a race for speed. However, Gaoying Quantitative's practice demonstrates that the real technological revolution lies in using AI to reconstruct the fundamental logic of financial decision-making, where speed becomes a natural outcome after logical validation. According to disclosures from Gaoying Quantitative's technical team, the company has pioneered a breakthrough in transaction latency, achieving a bottleneck of 3 microseconds through a collaborative architecture of FPGA real-time transaction processing and GPU offline computing. To put this in perspective, conventional industry transaction processing latency typically ranges from tens of microseconds to milliseconds. Achieving 3 microseconds represents a speed improvement nearly tenfold faster than standard industry levels.
To accomplish this, Gaoying Quantitative deploys server clusters equipped with self-developed chips directly within the data centers of major global exchanges in cities like New York, Chicago, London, Tokyo, and Hong Kong, converting physical proximity into a sustained microsecond-level advantage. This trinity of "chip + algorithm + cloud," all developed in-house across the entire chain, constitutes Gaoying Quantitative's core technical moat.
If the story ended with speed, it would merely be a narrative from a previous era. Gaoying Quantitative's strategic foresight lies in its acute recognition of the limitations of traditional factor mining and its decisive shift in strategic focus towards the research and development of end-to-end AI-driven strategies. Since 2024, the company has made intensive investments in AI talent, computing power, and external strategic partnerships, successfully developing an end-to-end strategy framework based on the integration of AI large language models and reinforcement learning algorithms.
In simpler terms, traditional quantitative trading often relies on human mathematicians and physicists to manually unearth market "factors" as signposts. In contrast, Gaoying Quantitative's new framework enables AI large models to directly drive the self-iteration and continuous evolution of strategies, allowing machines to autonomously seek the "optimal solution" within vast datasets. This represents a paradigm shift from "manual factor mining" to "large model intelligent decision-making." Currently, only a handful of elite institutions globally possess the practical experience to successfully integrate large models with microsecond-level trade execution, and Gaoying Quantitative has positioned itself as a pioneer among them. This is not merely a speed contest but an expansion of the cognitive boundaries within financial markets.
Substance of Performance
No matter how compelling the technological narrative, ultimate validation of substance comes from performance and data. For a quantitative industry often plagued by "inaccurate interpretations," awards and rankings from authoritative third-party institutions serve as the most potent weapons to dispel doubts. Reviewing Gaoying Quantitative's award records over the past two years reveals a clear trajectory of industry recognition.
In the 2025 iFinD Financial Data Terminal Awards, Gaoying Quantitative secured three major awards: the "Overseas Fund Sharpe Ratio Award," the "Outstanding Overseas Hedge Fund Manager Award," and the "Best System Co-construction Award." This indicates high-level recognition from professional terminal judges across three dimensions: return generation, risk management, and system support. In June 2026, the company's "Gaoying Quantitative Fund II" earned the prestigious Jiefu Award for "Outstanding Overseas Neutral Strategy Product," a benchmark accolade in asset management.
What truly positioned Gaoying Quantitative on the international stage was its performance at the HFM APAC Performance Awards, often regarded as the "Oscars" for Asia-Pacific hedge funds. In 2025, "Gaoying Quantitative Fund II" outperformed thousands of competing products across the Asia-Pacific region to win the "New Fund of the Year Award," sharing the podium with global giants like BlackRock and Man Group.
The hard data of performance rankings offers perhaps a more direct perspective. According to Morgan Hedge's statistics covering nearly ten thousand global hedge funds as of May 31, 2026, Gaoying Quantitative's products delivered astonishing results: the Going Algo SP 2-Class M fund achieved a three-year return of 222.94%, ranking second globally; its one-year return of 79.82% placed it third worldwide; the Going Algo SP 2-Class P fund secured a one-year return of 18.33%, ranking 16th globally. (Data Source: Based on Hedge Fund Data from Morgan Hedge Database as of 2026-05-31).
These figures clearly demonstrate that while Gaoying Quantitative's AUM remains in the "small but sophisticated" category, its performance on core metrics like risk-adjusted returns and technology monetization efficiency has unquestionably reached a top-tier level in Greater China, enabling it to compete with Wall Street's international behemoths in certain niche strategies.
Placing "Frontier Research" Back in Academia
The tech industry and quantitative fields are often criticized as "closed black boxes." Gaoying Quantitative has chosen a slower but more sustainable path: evolving from a pure quantitative firm into a pivotal node connecting academic frontiers with the financial industry, thereby demystifying and correcting external misunderstandings about the "technological black box."
Currently, Gaoying Quantitative has established a unique model of "placing frontier research within universities." The company has formed deep research partnerships with laboratories at several top global universities, including Tsinghua University and The Hong Kong Polytechnic University. These collaborations are not superficial sponsorships but involve joint efforts to tackle specific technical challenges. Research outcomes flow in both directions: universities produce top-tier papers from cutting-edge projects, while Gaoying Quantitative gains rigorously validated algorithmic applications, facilitating rapid translation from the ivory tower to the trading system.
Simultaneously, its new headquarters office in Hong Kong's core business district serves as a crucial support point for its international strategy and academic collaboration, such as interactions with Tsinghua University's PBC School of Finance. On the industrial synergy front, in January 2026, Gaoying Quantitative entered a strategic partnership with CASWISDOM. The collaboration focuses on AI-empowered quantitative investment, combining AI decision-making technology with quantitative trading engineering practices to explore pathways for enhancing quantitative research and decision-making efficiency through data intelligence in complex market environments. This is not a one-off project but a long-term co-construction initiative aimed at upgrading financial AI infrastructure.
Conclusion
Quantitative investing often faces polarized public debate. However, the case of Gaoying Quantitative illustrates a different narrative: it is a strictly compliant, licensed institution; a technological pioneer breaking through microsecond latency barriers; and a forerunner in the paradigm shift from "factor-driven" to "AI large model decision-making." After a decade of dedicated effort, Gaoying Quantitative, backed by its top-three global performance data and an open ecosystem spanning industry, academia, and research, has transformed from a quantitative product provider into a co-builder of the industry ecosystem.
Gaoying Quantitative demonstrates a crucial point: in an era where AI is reconstructing the financial world with unprecedented force, the true core competitive edge stems from the self-reliant reconstruction of the entire hardware-software chain, investment in cutting-edge AI research, and a profound respect for financial logic. This is perhaps the long-term value proposition this marathon player seeks to convey to the market: using technology to extend the boundaries of human investment research, employing transparency and compliance to dispel misunderstandings, and striving to be a rational and steadfast seeker of technological value within the complex and ever-changing global marketplace.
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