Review on Stock Market Prediction
Dr. Archana DehankarAssistant professor, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, IndiaAyush ItankarStudent, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, IndiaAbir MeshramStudent, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, IndiaNayan BhopleStudent, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, IndiaBhushan PatleStudent, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, India
Vol 5 No 6 (2021): Volume 5, Issue 6, June 2021 | Pages: 13-15
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 08-06-2021
doi.org/10.47001/IRJIET/2021.506003
Abstract
Stock trading is one of the most important practices in the financial world. The act of attempting to forecast the future value of a stock or other financial instrument traded on a financial exchange is known as stock market prediction. The majority of stockbrokers use technical and fundamental analysis, as well as time series analysis, when making stock predictions. Python is the programming language used to use machine learning to forecast the stock market. In this paper, we propose a Machine Learning (ML) method that will be trained using publicly accessible stock data to obtain intelligence, and then use that intelligence to make an accurate prediction. The paper focuses on the use of Regression and LSTM based Machine learning to predict stock values. Factors considered are open; close, low, high and volume. The dataset should be as precise as possible, because even minor changes in the data might result in large changes in the results. In this paper, supervised machine learning is employed on a data set obtained from Alpha vantage api.
Keywords
RNN (recurrent neural network), machine learning, financial times series forecasting, stock market prediction, linear regression
Citation of this Article
Dr. Archana Dehankar, Ayush Itankar, Abir Meshram, Nayan Bhople, Bhushan Patle, “Review on Stock Market Prediction” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 13-15, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506003
Licence
Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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