Business and Economics Journal

Forecasting Pakistan Stock Market (PSX) Signals through Technical Analysis Using Artificial Neural Network

Abstract

Raja Ased Azad Khan*

Technical analysis is a good approach to observing price activity in a free market and is often used to forecast future price patterns. This research aims to forecasting Pakistan stock market signals through technical analysis using artificial neural networks. We used TTR predictors for technical analysis in the artificial neural network model to predict the Pakistan Stock Exchange (PSX). This study concludes that previous information is helpful in future forecasting, and future prices linked with the previous history. This survey also assists investors in understanding how to use these technical analyses on artificial neural networks to increase their proportion of winning trades and enhance their return on investment.