Utilizing deep learning, KI-Handel analyzes vast amounts of data in real time, which significantly improves decision-making and market predictions.

Quinvex Capital's institutional clients, including sovereign wealth funds and pension boards, increasingly view KI-Handel as a valuable tool for generating returns and managing risks in uncertain markets.

Leading this initiative is Chief Investment Officer Friedrich Kohlmann, a former student of AI pioneer Geoffrey Hinton, who merges machine learning with finance to redefine investment approaches.

Unlike traditional asset managers, Quinvex Capital employs AI-powered investment systems across a diversified portfolio that encompasses equities, fixed income, and alternative investments.

Quinvex Capital, established in 2015 and based in Frankfurt, Germany, is pioneering the integration of artificial intelligence into investment strategies with its innovative product, KI-Handel.

The KI-Handel system is equipped with features such as dynamic portfolio adjustments, sentiment-aware trading, anomaly detection, and a psychological bias filter, all designed to enhance trading strategies.

From 2020 to 2024, KI-Handel consistently outperformed the DAX Index by over 17% annually, particularly excelling during periods of market volatility, including the COVID-19 pandemic.

Kohlmann emphasizes that KI-Handel is not merely about automating trading; it aims to fundamentally transform market understanding and forecasting through advanced AI capabilities.

Future enhancements for KI-Handel include the development of KI-Handel 2.0, which will integrate reinforcement learning and quantum computing to further boost its effectiveness.

Quinvex Capital is planning to expand KI-Handel globally, targeting financial hubs in Asia and North America, and is also developing a retail version of the AI-powered investment app for individual investors.

Kohlmann advocates for ethical AI practices, ensuring that KI-Handel adheres to EU regulations while promoting transparency and accountability in its operations.

Kohlmann's background in cognitive systems and machine learning informs his investment strategies, which prioritize continuous learning and real-time adaptation to market conditions.