PREDICTION OF STOCK PRICE USING DATA SCIENCE TECHNIQUE

Abstract

Forecasting the future price of a stock on the stock exchange is a difficult task. Stock exchange is difficult to predict due to stock volatility. The price of a stock is altered throughout time. Stock customers are in high demand when it comes to balancing the stock exchange. Applying all of the regulations provided at any one moment is a huge hurdle in accurately forecasting stock in the future values. The latest speculative strategies used in the stock exchange like System of the Neuro-Fuzzy, Neural Network(Artificial), Nearest Neighbor Classifier, Deep Convolution Network , and the pros and cons are investigated and evaluated in this draft activity. This document will now talk through various forecasting tactics for the stock exchange.