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A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization
16 references·0 citing·53 second hopsampled
A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization (2024)A deep learning integrated framework for …VGC-GAN: A multi-graph convolution adversarial network for stock price prediction (2023)VGC-GAN: A multi-graph convol…RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis (2022)RETRACTED ARTICLE: An optimal…Novel optimization approach for stock price forecasting using multi-layered sequential LSTM (2022)Novel optimization approach f…Deep Learning-based Integrated Framework for stock price movement prediction (2022)Deep Learning-based Integrate…A stock time series forecasting approach incorporating candlestick patterns and sequence similarity (2022)A stock time series forecasti…A new decomposition ensemble model for stock price forecasting based on system clustering and particle swarm optimization (2022)A new decomposition ensemble …Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme (2021)Stock Trend Prediction Using …Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Stock market forecasting usin…Picture fuzzy interactional partitioned Heronian mean aggregation operators: an application to MADM process (2021)Picture fuzzy interactional p…Directional correlation coefficient measures for Pythagorean fuzzy sets: their applications to medical diagnosis and cluster analysis (2021)Directional correlation coeff…A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast (2021)A Novel Improved Particle Swa…A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction (2021)A hybrid approach of adaptive…A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network (2020)A hybrid stock price index fo…An innovative neural network approach for stock market prediction (2018)An innovative neural network …Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction (2017)Wavelet Neural Network Predic…A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)A feature weighted support ve…Time Series Analysis, Forecasting and Control. 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References

  • 2018An innovative neural network approach for stock market prediction501 cited
  • 2017A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction387 cited
  • 2020A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network191 cited
  • 2022Novel optimization approach for stock price forecasting using multi-layered sequential LSTM183 cited
  • 2022RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis162 cited
  • 2021Directional correlation coefficient measures for Pythagorean fuzzy sets: their applications to medical diagnosis and cluster analysis154 cited
  • 2021Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework150 cited
  • 2021A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction149 cited
  • 2022Deep Learning-based Integrated Framework for stock price movement prediction147 cited
  • 2021Picture fuzzy interactional partitioned Heronian mean aggregation operators: an application to MADM process126 cited
  • 2017Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction109 cited
  • 2021A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast95 cited
  • 2021Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme

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83 cited
  • 2023VGC-GAN: A multi-graph convolution adversarial network for stock price prediction58 cited
  • 2022A new decomposition ensemble model for stock price forecasting based on system clustering and particle swarm optimization51 cited
  • 2022A stock time series forecasting approach incorporating candlestick patterns and sequence similarity49 cited
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