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Multivariate CNN‐LSTM Model for Multiple Parallel Financial Time‐Series Prediction
11 references·2 citing·48 second hopsampled
Multivariate CNN‐LSTM Model for Multiple Parallel Financial Time‐Series Prediction (2021)Multivariate CNN‐LSTM Model for Multiple …The Influence of Financial Service Characteristics on Use Intention through Customer Satisfaction with Mobile Fintech (2020)The Influence of Financial Se…Optimizing LSTM for time series prediction in Indian stock market (2020)Optimizing LSTM for time seri…Deep Learning for Stock Market Prediction (2020)Deep Learning for Stock Marke…An improved deep learning model for predicting stock market price time series (2020)An improved deep learning mod…A CNN-LSTM-Based Model to Forecast Stock Prices (2020)A CNN-LSTM-Based Model to For…Predicting the daily return direction of the stock market using hybrid machine learning algorithms (2019)Predicting the daily return d…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Forecasting the volatility of…Twenty Years of Time Series Econometrics in Ten Pictures (2017)Twenty Years of Time Series E…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)A feature weighted support ve…Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction (2023)Stock Market Analysis Using T…A Financial Time-Series Prediction Model Based on Multiplex Attention and Linear Transformer Structure (2023)A Financial Time-Series Predi…Time Series Analysis, Forecasting and Control. 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References

  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2018Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models786 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
  • 2020A CNN-LSTM-Based Model to Forecast Stock Prices564 cited
  • 2020Deep Learning for Stock Market Prediction446 cited
  • 2017A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction382 cited
  • 2020Optimizing LSTM for time series prediction in Indian stock market367 cited
  • 2019Predicting the daily return direction of the stock market using hybrid machine learning algorithms276 cited
  • 2020An improved deep learning model for predicting stock market price time series173 cited
  • 2017Twenty Years of Time Series Econometrics in Ten Pictures94 cited
  • 2020The Influence of Financial Service Characteristics on Use Intention through Customer Satisfaction with Mobile Fintech62 cited

Cited by

  • 2023Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction67 cited
  • 2023A Financial Time-Series Prediction Model Based on Multiplex Attention and Linear Transformer Structure50 cited

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