The project team aims to build an online financial market simulator (i.e. marketgang) which helps investors to analyse financial markets data patterns to predict how the financial markets react to world events without financial risk. This will be done by analysing world events and trading processes between countries to reproduce or duplicate some features of the financial markets on a computer. 

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The simulator allows investors to generate a portfolio based on real stock entries and help them train with virtual currency. It will use a delayed data feed of 30 minutes to ensure that investors cannot use their data to trade actively on a competing system. The product will have a database server supporting the listed companies around the world (i.e. NASDAQ 100) as well as financial news and contents. This will enable investors to practice with virtual currency in a real-world context so they can determine whether they would earn profits investing by themselves.