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RETRACTED ARTICLE: Stock market forecasting using deep learning with long short-term memory and gated recurrent unit
10 references·2 citing·47 second hop
RETRACTED ARTICLE: Stock market forecasting using deep learning with long short-term memory and gated recurrent unit (2024)RETRACTED ARTICLE: Stock market forecasti…Effectiveness of Artificial Intelligence in Stock Market Prediction based on Machine Learning (2021)Effectiveness of Artificial I…Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Short-term stock market price…Indian stock market prediction using artificial neural networks on tick data (2019)Indian stock market predictio…Stock Market Forecast Using Multivariate Analysis with Bidirectional and Stacked (LSTM, GRU) (2018)Stock Market Forecast Using M…NSE Stock Market Prediction Using Deep-Learning Models (2018)NSE Stock Market Prediction U…Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression (2018)Forward Forecast of Stock Pri…Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions (2018)Deep Learning with Gated Recu…Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using …Short term stock price prediction using deep learning (2017)Short term stock price predic…Forecasting: Methods and Applications. (1979)Forecasting: Methods and Appl…BiMT-TCN: A cutting-edge hybrid model for enhanced stock price prediction (2025)BiMT-TCN: A cutting-edge hybr…Accurate Stock Price Forecasting Based on Deep Learning and Hierarchical Frequency Decomposition (2024)Accurate Stock Price Forecast…Time Series Analysis Forecasting and Control. (1971)Book Review: Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)Stock Closing Price Prediction using Machine Learning Techniques (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Stock Market Prediction Using Artificial Neural Networks (2012)Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting (2020)Stock market prediction using machine learning classifiers and social media, news (2020)Financial time series forecasting using independent component analysis and support vector regression (2009)Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2015)Stock price forecast based on combined model of ARI-MA-LS-SVM (2020)Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models (2021)Machine learning techniques and data for stock market forecasting: A literature review (2022)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Stock Price Forecasting with Deep Learning: A Comparative Study (2020)Stock Prediction Based on Optimized LSTM and GRU Models (2021)Forecasting with artificial neural networks: (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Stock price prediction using deep learning and frequency decomposition (2020)Artificial Neural Networks architectures for stock price prediction: comparisons and applications (2016)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Sentiment-aware stock market prediction: A deep learning method (2017)An LSTM and GRU based trading strategy adapted to the Moroccan market (2021)Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices (2024)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)A Bayesian regularized artificial neural network for stock market forecasting (2013)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Wholesale price forecasts of green grams using the neural network (2024)Stock Price Prediction Using the ARIMA Model (2014)Deep learning with long short-term memory networks for financial market predictions (2017)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)Stock market prediction system with modular neural networks (1990)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A systematic review of fundamental and technical analysis of stock market predictions (2019)Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak (2022)Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction (2023)Stock market prediction using artificial intelligence: A systematic review of systematic reviews (2024)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)To Explain or to Predict? (2010)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)
this work references cited by second hop

References

  • 1979Forecasting: Methods and Applications.1,248 cited
  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,134 cited
  • 2018NSE Stock Market Prediction Using Deep-Learning Models629 cited
  • 2020Short-term stock market price trend prediction using a comprehensive deep learning system431 cited
  • 2018Deep Learning with Gated Recurrent Unit Networks for Financial Sequence Predictions320 cited
  • 2019Indian stock market prediction using artificial neural networks on tick data271 cited
  • 2018Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression198 cited
  • 2017Short term stock price prediction using deep learning127 cited
  • 2018Stock Market Forecast Using Multivariate Analysis with Bidirectional and Stacked (LSTM, GRU)119 cited
  • 2021Effectiveness of Artificial Intelligence in Stock Market Prediction based on Machine Learning93 cited

Cited by

  • 2024Accurate Stock Price Forecasting Based on Deep Learning and Hierarchical Frequency Decomposition32 cited
  • 2025BiMT-TCN: A cutting-edge hybrid model for enhanced stock price prediction24 cited

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