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Encoder–Decoder Based LSTM and GRU Architectures for Stocks and Cryptocurrency Prediction
16 references·1 citing·48 second hopsampled
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(2022)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Stock market's price movement prediction with LSTM neural networks (2017)News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review (2023)Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm (2023)Using thematic analysis in psychology (2006)Financial applications of machine learning: A literature review (2023)Data-driven stock forecasting models based on neural networks: A review (2024)Exponential smoothing method against the gradient boosting machine learning algorithm-based model for materials forecasting to minimize inventory (2024)Time-Series Forecasting (2000)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Stock Price Time Series Data Forecasting Using the Light Gradient Boosting Machine (LightGBM) Model (2023)A hybrid approach to time series forecasting: Integrating ARIMA and prophet for improved accuracy (2025)Performance analysis of neural network architectures for time series forecasting: A comparative study of RNN, LSTM, GRU, and hybrid models (2025)
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References

  • 2021Applications of deep learning in stock market prediction: Recent progress725 cited
  • 2018NSE Stock Market Prediction Using Deep-Learning Models615 cited
  • 2022Machine learning techniques and data for stock market forecasting: A literature review542 cited
  • 2023Deep Learning in Asset Pricing498 cited
  • 2019Autoencoder Asset Pricing Models489 cited
  • 2016Forecasting daily stock market return using dimensionality reduction395 cited
  • 2021A Survey of Forex and Stock Price Prediction Using Deep Learning381 cited
  • 2018Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions304 cited
  • 2019Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms293 cited
  • 2022Profit Prediction Using ARIMA, SARIMA and LSTM Models in Time Series Forecasting: A Comparison231 cited
  • 2020Stock Price Forecasting with Deep Learning: A Comparative Study183 cited
  • 2021Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey179 cited
  • 2021Stock Prediction Based on Optimized LSTM and GRU Models168 cited
  • 2015Stock price prediction using linear regression based on sentiment analysis157 cited
  • 2023

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Analysis of Bitcoin Price Prediction Using Machine Learning
137 cited
  • 2018Hybrid Deep Learning Model for Stock Price Prediction136 cited
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    • 2025Traditional Prediction Techniques and Machine Learning Approaches for Financial Time Series Analysis25 cited