Due to the prospects for financial gain, forex is always attractive many people. However, because market analysis not simple, a computer needed assist in creating predictions using features that are understandable This study employs Multilinear Regression technique identify these kinds of features. The and prediction target have very strong correlation. With low RMSE high R square, quality quit...

Abstract The foreign exchange markets, renowned as the largest financial markets globally, also stand out one of most intricate due to their substantial volatility, nonlinearity, and irregular nature. Owing these challenging attributes, various research endeavors have been undertaken effectively forecast future currency prices in with precision. studies performed built models utilizing statisti...

Abstract Background When you make a forex transaction, sell one currency and buy another. If the increases against sell, profit, do this through broker as retail trader on internet using platform known meta trader. Only 2% of traders can successfully predict movement in market, making it most challenging tasks. Machine learning its derivatives or hybrid models are becoming increasingly popular ...