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An efficient equilibrium optimizer with support vector regression for stock market prediction
16 references·2 citing·51 second hop
An efficient equilibrium optimizer with support vector regression for stock market prediction (2021)An efficient equilibrium optimizer with s…Systematic analysis and review of stock market prediction techniques (2019)Systematic analysis and revie…Stock price prediction based on deep neural networks (2019)Stock price prediction based …Indian stock market prediction using artificial neural networks on tick data (2019)Indian stock market predictio…Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction (2019)Genetic algorithm-optimized m…Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Forecasting stock prices with…Predicting the direction of stock markets using optimized neural networks with Google Trends (2018)Predicting the direction of s…NSE Stock Market Prediction Using Deep-Learning Models (2018)NSE Stock Market Prediction U…ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module (2018)ModAugNet: A new forecasting …Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions (2018)Deep Learning with Gated Recu…An innovative neural network approach for stock market prediction (2018)An innovative neural network …Survey of stock market prediction using machine learning approach (2017)Survey of stock market predic…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market (2016)Application of artificial neu…Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2015)Integrating metaheuristics an…The use of data mining and neural networks for forecasting stock market returns (2005)The use of data mining and ne…Stock market reaction to strategic investment decisions (1990)Stock market reaction to stra…Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices (2023)Forecasting multistep daily s…Financial stock market forecast using evaluated linear regression based machine learning technique (2023)Financial stock market foreca…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Using artificial neural network models in stock market index prediction (2011)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Listening to Chaotic Whispers (2018)Predicting short-term stock prices using ensemble methods and online data sources (2018)A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)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)Organizational Strategy, Structure, and Process (1978)Using daily stock returns (1985)Joint Venture Formations and Stock Market Reactions: An Assessment in the Information Technology Sector (1991)The nature of partnering experience and the gains from alliances (2009)Does the Stock Market Overreact? 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References

  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2018NSE Stock Market Prediction Using Deep-Learning Models615 cited
  • 2018An innovative neural network approach for stock market prediction476 cited
  • 2005The use of data mining and neural networks for forecasting stock market returns465 cited
  • 2019Stock price prediction based on deep neural networks378 cited
  • 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
  • 1990Stock market reaction to strategic investment decisions372 cited
  • 2019Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data342 cited
  • 2019Systematic analysis and review of stock market prediction techniques335 cited
  • 2015Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction324 cited
  • 2018Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions304 cited
  • 2019Indian stock market prediction using artificial neural networks on tick data271 cited
  • 2016Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market230 cited
  • 2017Survey of stock market prediction using machine learning approach

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214 cited
  • 2019Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction204 cited
  • 2018Predicting the direction of stock markets using optimized neural networks with Google Trends201 cited
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    • 2023Financial stock market forecast using evaluated linear regression based machine learning technique58 cited