The benefit for analyzing financial time series such as foreign exchange rates for chaos is that it can help indicate whether random-looking fluctuations actually represent an orderly system in disguise. Furthermore, identifying chaos can lead to greater accuracy of short-term predictions by using nonlinear models since linear models cannot produce good forecasts for chaotic time series In regard to foreign exchange market, we are interested whether exchange rate movements and trading activity is the result of new information coming to the market or a few deterministic forces interact with each other in such a way that a very complicated and volatile time path can be produced. Finally, detecting chaos can make modeling easier, since simple deterministic equations can describe chaos.