AI-driven automated trading and risk management system
We used reinforcement learning and distributed computing to optimize trading strategies
The project
A major financial company approached us with the goal of automating trading and exchange risk management using artificial intelligence. The core challenge was to build a system capable of making trading decisions on its own and effectively managing risk by analyzing large volumes of historical data.
Solution
We built an exchange emulator that replayed historical data, allowing the agent to learn in a controlled environment. Over the course of the research more than 100 different strategies and approaches were tested.
Result
A foundational project base was built for staged rollout into the platform's algorithms and trading-bot products. The system demonstrated the potential to boost trading efficiency and improve risk management, giving the company the tools to make more informed decisions on the exchange.
