Autonomous Agents in Finance: Designing Decision-Making Systems That Learn and Adapt

Autonomous agents are rapidly transforming modern financial markets. The term “autonomous agent” refers to decision-making systems that perform tasks and learn from experience. In finance, autonomous agents are decision-making systems designed to learn and adapt to dynamic environments. Many areas of financial markets exhibit non-stationarity due to factors such as changing technology, regulations, and competitor strategies. To account for these conditions, an autonomous agent’s learning is typically continuous and embedded within the agent itself, allowing it to acquire knowledge during operations. This enables adapting quickly to new environments, removing the need for periodic retraining.