A Distributed Intelligent Framework for Handling Dynamically Arriving Information

When there is an outlay to waiting for more information, the question is when to make the proper decision. This paper deals with the stock values in trading as dynamic information. We propose a system which gives suggestions or tips for deciding when to sell or buy the stocks and whether to stop the process or wait when the market rate changes. The influence of dynamic information may depend on waiting cost and stop function. The existing system uses a model that characterizes the influence of dynamic information on the utility of the decision. With the help of an agent the share holder can get the status of his/her stock and based on that the decision can be taken. An optimal algorithm has been used to guarantee the best time to stop, but its complexity is exponential in the number of candidates. So an alternative framework in which the different candidates are solved separately to reduce the complexity. The alternative framework leads to a range of specific heuristic algorithms.