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Stock Price Prediction Using Attention-based Multi-Input LSTM
9 references·14 citing·52 second hop
Stock Price Prediction Using Attention-based Multi-Input LSTM (2018)Stock Price Prediction Using Attention-ba…Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Price Prediction via Di…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…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …Stock prediction using deep learning (2016)Stock prediction using deep l…Stock Market Volatility and Learning (2015)Stock Market Volatility and L…Deep learning for event-driven stock prediction (2015)Deep learning for event-drive…Recurrent neural network and a hybrid model for prediction of stock returns (2014)Recurrent neural network and …Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review (2025)Stock Market Prediction Using…StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting (2024)StockMixer: A Simple Yet Stro…StockFormer: Learning Hybrid Trading Machines with Predictive Coding (2023)StockFormer: Learning Hybrid …MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction (2023)MWDINet: A multilevel wavelet…MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information (2023)MDF-DMC: A stock prediction m…Attention-based CNN–LSTM for high-frequency multiple cryptocurrency trend prediction (2023)Attention-based CNN–LSTM for …Stock Price Prediction Using a Frequency Decomposition Based GRU Transformer Neural Network (2022)Stock Price Prediction Using …Research on the Feasibility of Applying GRU and Attention Mechanism Combined with Technical Indicators in Stock Trading Strategies (2022)Research on the Feasibility o…China’s commercial bank stock price prediction using a novel K-means-LSTM hybrid approach (2022)China’s commercial bank stock…A dual-stage advanced deep learning algorithm for long-term and long-sequence prediction for multivariate financial time series (2022)A dual-stage advanced deep le…FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks (2021)FinGAT: Financial Graph Atten…An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination (2021)An efficient stock market pre…YOLO Object Recognition Algorithm and “Buy-Sell Decision” Model Over 2D Candlestick Charts (2020)YOLO Object Recognition Algor…STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM (2020)STL-ATTLSTM: Vegetable Price …Time Series Analysis, Forecasting and Control. 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(2007)A systematic review of fundamental and technical analysis of stock market predictions (2019)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)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)Enhancing Stock Movement Prediction with Adversarial Training (2019)Forecasting stock market movement direction with support vector machine (2004)Estimating global bank network connectedness (2017)Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression (2023)Series decomposition Transformer with period-correlation for stock market index prediction (2023)Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction (2023)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
this work references cited by second hop

References

  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2015Deep learning for event-driven stock prediction675 cited
  • 2014Recurrent neural network and a hybrid model for prediction of stock returns506 cited
  • 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
  • 2017A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction382 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
  • 2016Stock prediction using deep learning339 cited
  • 2015Stock Market Volatility and Learning320 cited

Cited by

  • 2022China’s commercial bank stock price prediction using a novel K-means-LSTM hybrid approach108 cited
  • 2020STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM103 cited
  • 2021An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination96 cited
  • 2021FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks82 cited

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2022
Stock Price Prediction Using a Frequency Decomposition Based GRU Transformer Neural Network
72 cited
  • 2023Attention-based CNN–LSTM for high-frequency multiple cryptocurrency trend prediction64 cited
  • 2024StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting56 cited
  • 2025Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review45 cited
  • 2023StockFormer: Learning Hybrid Trading Machines with Predictive Coding39 cited
  • 2020YOLO Object Recognition Algorithm and “Buy-Sell Decision” Model Over 2D Candlestick Charts37 cited
  • 2022Research on the Feasibility of Applying GRU and Attention Mechanism Combined with Technical Indicators in Stock Trading Strategies35 cited
  • 2023MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information32 cited
  • 2022A dual-stage advanced deep learning algorithm for long-term and long-sequence prediction for multivariate financial time series30 cited
  • 2023MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction29 cited