FOREX Rate Prediction using A Hybrid System
Nathan D'lima, Shamsuddin S. Khan · 2014
Currency exchange is the trading of one currency against another. Forecasting the foreign exchange rate is an uphill task. FOREX rates are influenced by many correlated economic, political and psychological factors. Like many economic time series, FOREX has its own trend, cycle and irregularity. The objective is to predict single day exchange rates with higher accuracy and precision. By using two different methods, i.e. a Neural network and a Hybrid system, a more accurate and robust method can be developed. A Multilayer Perceptron (MLP) is used to predict the rise and fall of the FOREX market while an ANFIS system is used to predict the future rate. Keywords—FOREX, Forex forecasting, Hybrid System, Multi Layer Perceptron.