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Machine Learning Stock Market Prediction Studies: Review and Research Directions
16 references·7 citing·48 second hop
Machine Learning Stock Market Prediction Studies: Review and Research Directions (2020)Machine Learning Stock Market Prediction …Predicting the daily return direction of the stock market using hybrid machine learning algorithms (2019)Predicting the daily return d…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…A hybrid stock trading framework integrating technical analysis with machine learning techniques (2016)A hybrid stock trading framew…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Empirical analysis: stock market prediction via extreme learning machine (2014)Empirical analysis: stock mar…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Using support vector machine …Textual analysis of stock market prediction using breaking financial news (2009)Textual analysis of stock mar…Prediction of Stock Market Index Movement by Ten Data Mining Techniques (2009)Prediction of Stock Market In…Evolving Least Squares Support Vector Machines for Stock Market Trend Mining (2008)Evolving Least Squares Suppor…Stock market prediction with multiple classifiers (2006)Stock market prediction with …A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets (2006)A hybrid approach based on ne…The use of data mining and neural networks for forecasting stock market returns (2005)The use of data mining and ne…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Expert system for predicting stock market timing using a candlestick chart (1999)Expert system for predicting …Task-Technology Fit and Individual Performance (1995)Task-Technology Fit and Indiv…Stock market prediction using artificial intelligence: A systematic review of systematic reviews (2024)Stock market prediction using…PREDICTING STOCK MARKET MOVEMENTS USING NEURAL NETWORKS: A REVIEW AND APPLICATION STUDY (2024)PREDICTING STOCK MARKET MOVEM…A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting (2024)A Systematic Review on Graph …An integrated approach of ensemble learning methods for stock index prediction using investor sentiments (2023)An integrated approach of ens…Predictive intelligence using ANFIS‐induced OWAWA for complex stock market prediction (2021)Predictive intelligence using…Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic (2021)Bayesian neural networks for …Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda (2021)Application of Artificial Int…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)Trust and TAM in Online Shopping: An Integrated Model1 (2003)User Acceptance of Information Technology: Toward A Unified View1 (2003)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Business conditions and expected returns on stocks and bonds (1989)Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Forecasting daily stock market return using dimensionality reduction (2016)Systematic analysis and review of stock market prediction techniques (2019)The Behavior of Stock-Market Prices (1965)A Random Walk Down Wall Street (1973)Application of support vector machines in financial time series forecasting (2001)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)Deep learning for event-driven stock prediction (2015)Applications of deep learning in stock market prediction: Recent progress (2021)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)Evaluating multiple classifiers for stock price direction prediction (2015)Sentiment analysis on social media for stock movement prediction (2015)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Fractional Brownian Motions, Fractional Noises and Applications (1968)Efficient Capital Markets: II (1991)Short-term stock price prediction based on echo state networks (2008)Stock market one-day ahead movement prediction using disparate data sources (2017)A systematic review of stock market prediction using machine learning and statistical techniques (2021)Efficient Analytic Approximation of American Option Values (1987)Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms (2019)A novel graph convolutional feature based convolutional neural network for stock trend prediction (2020)Prediction of cryptocurrency returns using machine learning (2020)Does the Stock Market Overreact? (1985)Hierarchical structure in financial markets (1999)Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? (2007)A systematic review of fundamental and technical analysis of stock market predictions (2019)Forecasting with artificial neural networks: (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges (2023)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)NSE Stock Market Prediction Using Deep-Learning Models (2018)
this work references cited by second hop

References

  • 1995Task-Technology Fit and Individual Performance5,991 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2009Textual analysis of stock market prediction using breaking financial news777 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2005The use of data mining and neural networks for forecasting stock market returns465 cited
  • 2009Using support vector machine with a hybrid feature selection method to the stock trend prediction302 cited
  • 2019Predicting the daily return direction of the stock market using hybrid machine learning algorithms276 cited
  • 2006Stock market prediction with multiple classifiers239 cited
  • 2006A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets223 cited
  • 2008Evolving Least Squares Support Vector Machines for Stock Market Trend Mining218 cited
  • 2016A hybrid stock trading framework integrating technical analysis with machine learning techniques215 cited

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2014
Empirical analysis: stock market prediction via extreme learning machine
166 cited
  • 2009Prediction of Stock Market Index Movement by Ten Data Mining Techniques165 cited
  • 1999Expert system for predicting stock market timing using a candlestick chart165 cited
  • Cited by

    • 2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda103 cited
    • 2021Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic59 cited
    • 2024Stock market prediction using artificial intelligence: A systematic review of systematic reviews53 cited
    • 2023An integrated approach of ensemble learning methods for stock index prediction using investor sentiments52 cited
    • 2024A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting48 cited
    • 2021Predictive intelligence using ANFIS‐induced OWAWA for complex stock market prediction45 cited
    • 2024PREDICTING STOCK MARKET MOVEMENTS USING NEURAL NETWORKS: A REVIEW AND APPLICATION STUDY43 cited