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Systematic analysis and review of stock market prediction techniques · Study

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ArticleSystematic analysis and review of stock market prediction techniques

Dattatray P. Gandhmal2019

Article2019

Systematic analysis and review of stock market prediction techniques

Dattatray P. Gandhmal

335 citations·0/0 files stored·Computer Science Review

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Stock Market Forecasting Methods Forecasting Techniques and Applications Time Series Analysis and Forecasting

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 335 citations exist upstream.

References

2003Proceedings of the International Joint Conference on Neural Networks, 2003.2014Stock Price Prediction Using the ARIMA Model 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques 2004Forecasting stock market movement direction with support vector machine 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange 2011Using artificial neural network models in stock market index prediction 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index 1990Stock market prediction system with modular neural networks

Cited by

2020Mean–variance portfolio optimization using machine learning-based stock price prediction 2020Portfolio optimization with return prediction using deep learning and machine learning 2021The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction 2023Survey of feature selection and extraction techniques for stock market prediction 2022Profit Prediction Using ARIMA, SARIMA and LSTM Models in Time Series Forecasting: A Comparison 2019Portfolio formation with preselection using deep learning from long-term financial data 2020Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review 2023Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022

Details

Year2019

Typearticle

Published2019-08-28

VenueComputer Science Review

ISSN-L1574-0137

Languageen

Citations335

Files0 public / 0

ShelfStock Market Forecasting Methods

Identifiers

doi10.1016/j.cosrev.2019.08.001

openalex_workW2970016095

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