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LSTM based decision support system for swing trading in stock market
5 references·12 citing·48 second hop
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this work references cited by second hop

References

  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2019Temporal Relational Ranking for Stock Prediction551 cited
  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2020Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting227 cited
  • 2017Sentiment-aware stock market prediction: A deep learning method132 cited

Cited by

  • 2022Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies101 cited
  • 2023LSTM–GARCH Hybrid Model for the Prediction of Volatility in Cryptocurrency Portfolios87 cited
  • 2024Artificial intelligence techniques in financial trading: A systematic literature review73 cited
  • 2024A deep fusion model for stock market prediction with news headlines and time series data51 cited
  • 2023Stock market prediction with time series data and news headlines: a stacking ensemble approach49 cited
  • 2025Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps33 cited
  • 2024Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions31 cited
  • 2022Hybrid Deep Reinforcement Learning for Pairs Trading31 cited

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  • 2024Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions30 cited
  • 2025A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading29 cited
  • 2024An Advisor Neural Network framework using LSTM-based Informative Stock Analysis28 cited
  • 2023Market Manipulation in Stock and Power Markets: A Study of Indicator-Based Monitoring and Regulatory Challenges20 cited