Andreas Marken
abstract
The goal of this project is to develop a simulation environment in which
multiple trading agents interact with a centralized exchange agent to buy
and sell stocks. The simulation is designed to support the creation and
testing of diverse agent-based trading strategies, providing a flexible and
extensible framework for experimentation. A key design principle is modu-
larity—making it straightforward to implement new agents with novel be-
haviors, policies, or learning techniques. The environment enables users to
evaluate the performance of individual agents by analyzing the evolution of
their portfolios over time, comparing risk-adjusted returns, volatility, and
other financial metrics. Through these comparisons, the simulation can be
used to assess which strategies perform best under varying market conditions,
or how agents might adapt to different trading environments.
outcomes