Development of an automated trading and risk management system using AI
We used reinforcement learning technologies and distributed computing to optimize trading strategies
We were approached by a large financial company to automate trading and risk management on the stock exchange using artificial intelligence. The main task was to develop a system capable of independently making trading decisions and effectively managing risks by analyzing large amounts of historical data.
We developed an exchange emulator that played historical data, allowing the agent to learn in a controlled environment. More than 100 different strategies and approaches have been tested during the research.
The fundamental basis of the project was developed for further phased introduction of trading bots into platform algorithms and products. The system demonstrated its potential for increasing the efficiency of trading operations and improving risk management, providing the company with tools for more informed decisions on the stock exchange.
