A Survey on Artificial Neural Network based Stock Price Prediction Using Various Methods

Stock price prediction has been a big challenge since many years due to the unpredictable nature of the market with around 200 transactions per second, making it hard to predict the stock price. Stock market also known as share market or equity market is a cluster of sellers and buyers of stock. Big and private companies sell a part of their company to investors in order to generate crowdfunding. Since the stock market is quite sensitive to economic sentiments and rapid changes, the main objective of the stock market is to develop new techniques to forecast higher profits for stock prices. This paper aims to examine different deep learning methods by which the future stock prices can be accurately predicted.