Advanced financial market simulation based on intelligent agents and cloud technology

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Current commercial stock market simulators operate based on real time or historical stock market data. These systems cannot be applied in two important situations, namely (1) exploring scenarios of anticipated market conditions and (2) accounting for the current participant's actions in the market under simulation. Current systems are used in development of trading strategies to simulate how specific models will perform on live financial markets. However, performance based on past historical data has proven not to be an indication of future conditions and results in the financial markets. This has been seen in recent years where the unprecedented volatility of the global financial markets would not be simulated by replaying historical data. This project explores the research questions in building a simulated environment to test financial trading