Neurowatt, a leader in AI-driven quantitative trading infrastructure, said that its flagship product P1 Quant has resulted in 80 percent of users reporting faster trade decision-making, setting a new standard for intelligent decision-making in quantitative trading.
“Our mission is to evolve quantitative trading from ‘automated’ to ‘intelligent,'” said Neurowatt Founder and CEO Peter Lu.
“The launch of P1 Quant marks the dawn of a new era for the hedge fund industry—an era where AI (artificial intelligence) not only assists in decision-making but autonomously learns, adapts, and executes complex strategies. What we are showcasing at Hong Kong FinTech Week is not just technology; it’s the future of fund management,” he added.
P1 Quant’s core technology engine, P1GPT, is a multi-agent large language model framework developed by Neurowatt’s AI research team and published on arXiv, the international academic preprint platform, on October 27, 2025. The framework employs an innovative structured reasoning workflow that systematically fuses technical analysis, fundamental analysis, and news data through a five-layer hierarchical architecture to generate interpretable trading decisions.
The research has quickly garnered attention from the AI and financial technology community. Industry analysts have highlighted P1GPT’s novel approach to building trustworthy, explainable, and scalable financial AI systems, noting its potential to address key limitations of current single-agent or unstructured multi-agent frameworks.
“The response from the research and practitioner community has been tremendously encouraging,” said Lu. “It validates not only the innovation of our technology but also confirms we’re on the right path: building financial AI systems that institutions can trust and understand.”
Neurowatt is actively seeking to build partnerships with banks, ETF issuers, brokers, market makers, and asset management firms in Hong Kong and the broader Asia-Pacific region.
NEUROWATT PHOTO