Stock Market Prediction

Rahul Maurya; Tarun Aggarwal; Ashish Singh; Amul Maurya; Divyanshu  Gupta

Stock Market Prediction

Authors: Rahul Maurya, Tarun Aggarwal, Ashish Singh, Amul Maurya, Divyanshu Gupta

Unique Paper ID: 151955
Volume: 8
Issue: 2
PageNo: 28-31

Keywords: Machine Learning Stock Price Prediction Long Short-Term Memory Stock Market Artificial neural Networks National Stock Exchange

Abstract:
The prediction of stock price is a complex task which needs a dynamicalgorithms background in order to calculate the longer term share values. Stock prices are interconnected within the nature of market; hence it will be challenging to predict the costs. The planned algorithmusingthe market data to predict the share price using machine learning techniques like recurrent neural network named as Long Short Term Memory, in that process weights are improved for each data points using stochastic gradient descent. This system will provide precise outcomes in comparison to currently available stock price predictor algorithms. The network is trained and calculated with various dimensions of input data to urge the graphical results.

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ISSN: 2349-6002
Volume: 8
Issue: 2
PageNo: 28-31

Stock Market Prediction

Available:https://ijirt.org/Article?manuscript=151955

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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