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Abstract
The 1980s could accurately be labeled the decade of the personal computer, and the 1990s could just as appropriately be titled the decade of the Internet. Many experts would propose that the first decade of the 21st century would be the decade of mobile computing and rn-commerce. Mobile commerce is growing to be a common way for doing business in this decade.The Stock market understanding is a very old issue. It always includes an open area for researchers in’ Management, Finance and Science fields. Stock market is a typical application for mobile commerce technology. Using mobile commerce, individual traders can act in the stock market just like brokers who have direct interaction and full time dedication to the stock market data.In this research, we proposed a new framework to help mobile commerce user decide when he needs to update the local infonnation on his mobile device. Our research is mainly discussing stock market traders. However, the framework can be applied on several mobile commerce pplications. The main target from the proposed framework is providing advices and recommendation to traders about the suitable update frequency for them.
Our research also, helps traders in testing their strategies on real data and how they could perform. Second part of our work is building a stock market simulation based on real data from US stock market. This is considered as a tool for traders to apply their strategies and compare the possible profit against expected cost or the bank interest.