Stock Price Prediction To Support Investment Decisions

Abstract

This study aimed to predict stock price movements using one of the deep learning models called "Long Short-Term Memory" (LSTM), in order to support investment decisions in the financial market. In this study, the movement of stock prices of three leading technology companies "Apple Inc, Tesla Inc, and Microsoft Corp" was predicted using LSTM model. The model also generated trading signals that act as a tool to support investment decisions in the financial market. The study found that LSTM models are efficient and capable of predicting and analyzing complex patterns and time dependencies in stock prices. This confirms that LSTM recurrent neural networks are suitable for analyzing financial time series and can be considered as supporting tools to improve investment decisions