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Feature extraction using Restricted Boltzmann Machine for stock price prediction
1 references·5 citing·18 second hop
Feature extraction using Restricted Boltzmann Machine for stock price prediction (2012)Feature extraction using Restricted Boltz…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review (2025)Stock Market Prediction Using…A stock market trading framework based on deep learning architectures (2022)A stock market trading framew…A Fusion Framework for Forecasting Financial Market Direction Using Enhanced Ensemble Models and Technical Indicators (2021)A Fusion Framework for Foreca…Effect of dimensionality reduction on stock selection with cluster analysis in different market situations (2020)Effect of dimensionality redu…Restricted Boltzmann machine based stock market trend prediction (2017)Restricted Boltzmann machine …Forecasting with artificial neural networks: (1998)Stock market's price movement prediction with LSTM neural networks (2017)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)From Efficient Markets Theory to Behavioral Finance (2003)Stock Price Prediction Using the ARIMA Model (2014)PORTFOLIO SELECTION* (1952)The Cross-Section of Expected Stock Returns (1992)Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior (1995)Prospect Theory: An Analysis of Decision under Risk (1979)Twitter mood predicts the stock market (2011)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting (2024)A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading (2025)Dividends, Earnings, and Stock Prices (1959)Serial Order: A Parallel Distributed Processing Approach (1997)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,734 cited

Cited by

  • 2022A stock market trading framework based on deep learning architectures55 cited
  • 2025Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review45 cited
  • 2017Restricted Boltzmann machine based stock market trend prediction32 cited
  • 2020Effect of dimensionality reduction on stock selection with cluster analysis in different market situations26 cited
  • 2021A Fusion Framework for Forecasting Financial Market Direction Using Enhanced Ensemble Models and Technical Indicators26 cited

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