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Enhanced Prediction of Intra-day Stock Market Using Metaheuristic Optimization on RNN–LSTM Network
16 references·4 citing·44 second hop
Enhanced Prediction of Intra-day Stock Market Using Metaheuristic Optimization on RNN–LSTM Network (2020)Enhanced Prediction of Intra-day Stock Ma…Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets (2018)Stock Market Prediction on Hi…Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)Genetic Algorithm-Optimized L…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters (2017)A Deep Neural-Network Based S…High-Frequency Trading Strategy Based on Deep Neural Networks (2016)High-Frequency Trading Strate…Evaluating multiple classifiers for stock price direction prediction (2015)Evaluating multiple classifie…Recurrent neural network and a hybrid model for prediction of stock returns (2014)Recurrent neural network and …Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…A SVM Stock Selection Model within PCA (2014)A SVM Stock Selection Model w…Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting stock markets usi…Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Technical Analysis from A to Z (2005)Technical Analysis from A to ZApplication of support vector machines in financial time series forecasting (2001)Application of support vector…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Forecasting stock market volatility using (non-linear) Garch models (1996)Forecasting stock market vola…Deep learning for financial forecasting: A review of recent trends (2025)Deep learning for financial f…Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices (2023)Forecasting multistep daily s…Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression (2023)Forecasting long-term stock p…Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction (2023)Deep LSTM and LSTM-Attention …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)Forecasting Stock Market Volatility with Regime-Switching GARCH Models (2005)The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes (2016)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Using artificial neural network models in stock market index prediction (2011)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)Time Series Analysis, Forecasting and Control. 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References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 2015Evaluating multiple classifiers for stock price direction prediction597 cited
  • 2014Recurrent neural network and a hybrid model for prediction of stock returns506 cited
  • 2010Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm399 cited
  • 1996Forecasting stock market volatility using (non-linear) Garch models394 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
  • 2018Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction311 cited
  • 2018Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets262 cited
  • 2005Technical Analysis from A to Z226 cited
  • 2017A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters

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118 cited
  • 2014A SVM Stock Selection Model within PCA106 cited
  • 2016High-Frequency Trading Strategy Based on Deep Neural Networks100 cited
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    • 2023Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices61 cited
    • 2025Deep learning for financial forecasting: A review of recent trends61 cited