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A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast
11 references·6 citing·33 second hop
A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast (2021)A Novel Improved Particle Swarm Optimizat…An Adaptive SVR for High-Frequency Stock Price Forecasting (2018)An Adaptive SVR for High-Freq…Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…A Comparison between Regression, Artificial Neural Networks and Support Vector Machines for Predicting Stock Market Index (2015)A Comparison between Regressi…Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)Forecasting stock indices usi…A multiple-kernel support vector regression approach for stock market price forecasting (2010)A multiple-kernel support vec…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Deep learning for financial forecasting: A review of recent trends (2025)Deep learning for financial f…SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting (2023)SMP-DL: a novel stock market …How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting (2022)How to Handle Data Imbalance …An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting (2022)An adaptive particle swarm op…Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors (2022)Agricultural Price Prediction…An efficient equilibrium optimizer with support vector regression for stock market prediction (2021)An efficient equilibrium opti…Forecasting with artificial neural networks: (1998)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)The Cross-Section of Expected Stock Returns (1992)Neural Network Models for Time Series Forecasts (1996)Forecasting tourism demand based on empirical mode decomposition and neural network (2011)Stock prediction using deep learning (2016)Systematic analysis and review of stock market prediction techniques (2019)Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Empirical analysis: stock market prediction via extreme learning machine (2014)Forecasting price movements using technical indicators: Investigating the impact of varying input window length (2017)How is machine learning useful for macroeconomic forecasting? (2022)Textual analysis of stock market prediction using breaking financial news (2009)Twitter mood predicts the stock market (2011)Deep learning-based feature engineering for stock price movement prediction (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)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)Deep Learning Algorithm to Predict Cryptocurrency Fluctuation Prices: Increasing Investment Awareness (2022)Modal decomposition-based hybrid model for stock index prediction (2022)Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey (2022)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)Support vector machine with adaptive parameters in financial time series forecasting (2003)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Temporal Relational Ranking for Stock Prediction (2019)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
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market734 cited
  • 2010Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm400 cited
  • 2010A multiple-kernel support vector regression approach for stock market price forecasting255 cited
  • 2015A Comparison between Regression, Artificial Neural Networks and Support Vector Machines for Predicting Stock Market Index127 cited
  • 2018An Adaptive SVR for High-Frequency Stock Price Forecasting108 cited

Cited by

  • 2023SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting95 cited
  • 2022An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting67 cited

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  • 2021An efficient equilibrium optimizer with support vector regression for stock market prediction66 cited
  • 2025Deep learning for financial forecasting: A review of recent trends61 cited
  • 2022Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors54 cited
  • 2022How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting44 cited