Led by Professor Felbridge’s Team, a New Era of Intelligent Global Trading Begins
In 2025, the global financial technology landscape is undergoing profound transformation. At this pivotal moment, officially launches its flagship innovation — the BeaconAI Quant System. Spearheaded by the renowned Professor Simon Felbridge and his research team, the system has undergone seven years of iterative development and technical refinement. In 2024, it reached a major milestone with the release of its latest version, AI Stratos 5.0, marking a decisive evolution from traditional quantitative trading to a new era of AI-powered intelligent trading.
From Quantitative Constraints to AI-Driven BreakthroughsFrom the earliest stages of the project, Professor Simon Felbridge identified several inherent limitations of traditional quantitative trading systems. While quant models offer notable advantages in rule-based modeling and data processing, they remain constrained by the following challenges:• Overreliance on historical data, making them less adaptable to emerging or rapidly evolving markets;• Lack of subjective judgment, limiting their ability to detect unstructured or anomalous market behavior;• High sensitivity to data quality, resulting in fragile models vulnerable to noise or incomplete information;• Significant upfront cost, including steep technological and infrastructure requirements;• Model risk, as strategies often underperform or fail in fast-changing market conditions.
To overcome these bottlenecks, Professor Felbridge’s team integrated big data analytics, machine learning, and automated execution to develop an AI-centric intelligent trading infrastructure — AI Stratos 5.0.
BeaconAI Quant System: AI Stratos 5.0 Key Capabilities Overview• Intelligent Signal Detection: Utilizes deep learning to detect real-time market anomalies and generate high-precision trading signals.• Automated Trade Execution: Embedded with multiple algorithmic execution strategies, the system automatically places orders and adjusts positions to maximize capital efficiency.• Self-Learning Strategy Optimization: Dynamically tunes model parameters based on real-time market feedback, enabling continuous strategy adaptation and improvement.• Dynamic Risk Control: Incorporates advanced risk metrics such as VaR, ES, and maximum drawdown to automatically calibrate exposure.• Cross-Market Adaptability: Fully compatible with global equity, FX, and digital asset markets, enabling robust multi-asset trading capabilities.
The system consistently achieves a signal win rate exceeding 90%, while maintaining a maximum drawdown of under 5% over the long term — significantly outperforming most traditional quantitative models.
Professional Team Ensures Robust System Deployment
The successful implementation of the BeaconAI Quant System would not have been possible without the deep involvement of Professor Simon Felbridge and his core research team. Throughout the system’s global rollout, appointed Ms. Sophia Bennett, an operations assistant, to provide comprehensive support in testing, research, and investment operations.
As Professor Felbridge’s assistant, Ms. Bennett plays a critical role in supporting Mr. Bennett with market analysis, preparing investment reports, organizing meetings, and coordinating communication within the investment team. She is also responsible for monitoring portfolio performance across client accounts, generating detailed data reports, and ensuring the accuracy and compliance of all documents and operational records.
