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A Stock Closing Price Prediction Model Based on CNN‐BiSLSTM
16 references·8 citing·41 second hop
A Stock Closing Price Prediction Model Based on CNN‐BiSLSTM (2021)A Stock Closing Price Prediction Model Ba…Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Stock Market Prediction Using…A CNN-LSTM-Based Model to Forecast Stock Prices (2020)A CNN-LSTM-Based Model to For…Stock price prediction based on deep neural networks (2019)Stock price prediction based …Stock Market Trend Prediction Using High-Order Information of Time Series (2019)Stock Market Trend Prediction…Stock Market Prediction Based on Generative Adversarial Network (2019)Stock Market Prediction Based…Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock closing price predictio…Literature review: Machine learning techniques applied to financial market prediction (2019)Literature review: Machine le…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…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 …Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…Improving stock market prediction via heterogeneous information fusion (2017)Improving stock market predic…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…Classification-based financial markets prediction using deep neural networks (2017)Classification-based financia…Deep learning for stock prediction using numerical and textual information (2016)Deep learning for stock predi…Stock Market Volatility and Learning (2015)Stock Market Volatility and L…Short-Term Stock Correlation Forecasting Based on CNN-BiLSTM Enhanced by Attention Mechanism (2024)Short-Term Stock Correlation …Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price (2024)Model-driven multimodal LSTM-…Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets (2024)Enhancing Stock Market Predic…A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)A bibliometric literature rev…Trajectory tracking of changes digital divide prediction factors in the elderly through machine learning (2023)Trajectory tracking of change…Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices (2023)Forecasting multistep daily s…Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models (2023)Deep Learning for Financial T…Dynamic Black Litterman portfolios with views derived via CNN-BiLSTM predictions (2022)Dynamic Black Litterman portf…Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Textual analysis of stock market prediction using breaking financial news (2009)Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong (2020)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)The Behavior of Stock-Market Prices (1965)Time Series Analysis Forecasting and Control. 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(2007)Deep Learning for Stock Market Prediction (2020)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Time series forecasting using a hybrid ARIMA and neural network model (2003)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Harvesting social media sentiment analysis to enhance stock market prediction using deep learning (2021)Predicting stock market index using LSTM (2022)Investor Sentiment and the Cross‐Section of Stock Returns (2006)Integración de los mercados financieros Latinoamericanos por medio de MILA (2020)Stock market index prediction using deep Transformer model (2022)Time Series Analysis: Forecasting and Control (1977)Deep Learning for Finance: Deep Portfolios (2016)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Stock Price Prediction Using CNN-BiLSTM-Attention Model (2023)TRNN: An efficient time-series recurrent neural network for stock price prediction (2023)Stock Price Prediction Using the ARIMA Model (2014)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Cryptocurrency trading: a comprehensive survey (2022)Applications of deep learning in stock market prediction: Recent progress (2021)
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References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
  • 2020Stock Market Prediction Using LSTM Recurrent Neural Network642 cited
  • 2020A CNN-LSTM-Based Model to Forecast Stock Prices564 cited
  • 2019Literature review: Machine learning techniques applied to financial market prediction560 cited
  • 2019Stock closing price prediction based on sentiment analysis and LSTM436 cited
  • 2016Deep learning for stock prediction using numerical and textual information420 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
  • 2015Stock Market Volatility and Learning320 cited
  • 2019Stock Market Prediction Based on Generative Adversarial Network313 cited
  • 2017Classification-based financial markets prediction using deep neural networks215 cited
  • 2017

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Improving stock market prediction via heterogeneous information fusion
205 cited
  • 2019Stock Market Trend Prediction Using High-Order Information of Time Series191 cited
  • Cited by

    • 2023Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models63 cited
    • 2023Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices61 cited
    • 2022Dynamic Black Litterman portfolios with views derived via CNN-BiLSTM predictions55 cited
    • 2024Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets48 cited
    • 2024Short-Term Stock Correlation Forecasting Based on CNN-BiLSTM Enhanced by Attention Mechanism42 cited
    • 2024A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach41 cited
    • 2024Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price32 cited
    • 2023Trajectory tracking of changes digital divide prediction factors in the elderly through machine learning18 cited