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This paper summarizes the collective work done in the application of evolutionary computation for financial time series forecasting. These are mainly stock market indices and foreign exchange rate prediction. The time series corresponding to these indices is a non-linear dynamic stochastic system different from other static patterns which are independent of time. Evolutionary techniques have capabilities of efficient search space exploration with population models corresponding to the problem. Their ability to capture the non linear dependencies among the system variables has invited economic analysts towards their use in the field of financial time series prediction. In this paper, previous research done in the application of evolutionary techniques for economic time series prediction and resolving the issues involved has been presented.