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MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction
16 references·0 citing·42 second hop
MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction (2023)MWDINet: A multilevel wavelet decompositi…Applications of deep learning in stock market prediction: Recent progress (2021)Applications of deep learning…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…Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)A novel deep learning framewo…N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)N-BEATS: Neural basis expansi…Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)Knowledge-Driven Stock Trend …Enhancing Stock Movement Prediction with Adversarial Training (2019)Enhancing Stock Movement Pred…Stock Price Prediction Using Attention-based Multi-Input LSTM (2018)Stock Price Prediction Using …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 …Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction (2017)Wavelet Neural Network Predic…Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Price Prediction via Di…Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…Forecast comparisons in unstable environments (2010)Forecast comparisons in unsta…Testing Against General Autoregressive and Moving Average Error Models when the Regressors Include Lagged Dependent Variables (1978)Testing Against General Autor…Discretion versus policy rules in practice (1993)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Comparing Predictive Accuracy (1994)Out-of-Sample Forecast Tests Robust to the Choice of Window Size (2012)Forecasting Inflation (2013)Geopolitical risk and oil volatility: A new insight (2019)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)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)A Bayesian regularized artificial neural network for stock market forecasting (2013)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Predicting stock market index using fusion of machine learning techniques (2014)Listening to Chaotic Whispers (2018)A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)The Behavior of Stock-Market Prices (1965)Time Series Analysis Forecasting and Control. 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References

  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
  • 1978Testing Against General Autoregressive and Moving Average Error Models when the Regressors Include Lagged Dependent Variables1,468 cited
  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2019N-BEATS: Neural basis expansion analysis for interpretable time series forecasting769 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market734 cited
  • 2021Applications of deep learning in stock market prediction: Recent progress725 cited
  • 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
  • 2010Forecast comparisons in unstable environments468 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
  • 2019Enhancing Stock Movement Prediction with Adversarial Training279 cited
  • 2020A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM237 cited
  • 2019Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network198 cited
  • 2021A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction

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149 cited
  • 2018Stock Price Prediction Using Attention-based Multi-Input LSTM116 cited
  • 2017Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction109 cited
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