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Forecasting stock prices changes using long-short term memory neural network with symbolic genetic programming
16 references·0 citing·40 second hop
Forecasting stock prices changes using long-short term memory neural network with symbolic genetic programming (2024)Forecasting stock prices changes using lo…Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Short-term stock market price…Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Predicting Stock Market Trend…A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)A novel deep learning framewo…Stock price prediction based on deep neural networks (2019)Stock price prediction based …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 …Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)Genetic Algorithm-Optimized L…Financial time series forecasting model based on CEEMDAN and LSTM (2018)Financial time series forecas…Deep learning-based feature engineering for stock price movement prediction (2018)Deep learning-based feature e…Machine Learning With Big Data: Challenges and Approaches (2017)Machine Learning With Big Dat…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…Proceedings of the 2013 IEEE International Conference on Big Data (2013)Proceedings of the 2013 IEEE …How rewarding is technical analysis? Evidence from Singapore stock market (2003)How rewarding is technical an…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)EFFICIENT CAPITAL MARKETS: A …Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Efficient Capital Markets: A …CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Behavior of Stock-Market Prices (1965)The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets (1965)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Users of the world, unite! 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References

  • 1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*15,723 cited
  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2017Machine Learning With Big Data: Challenges and Approaches1,023 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market734 cited
  • 2018Financial time series forecasting model based on CEEMDAN and LSTM712 cited
  • 2018Deep learning-based feature engineering for stock price movement prediction483 cited
  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2020Short-term stock market price trend prediction using a comprehensive deep learning system382 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
  • 2020Stock price prediction using deep learning and frequency decomposition373 cited
  • 2013Proceedings of the 2013 IEEE International Conference on Big Data357 cited
  • 2018Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction

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311 cited
  • 2020A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM237 cited
  • 2003How rewarding is technical analysis? Evidence from Singapore stock market234 cited
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