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A novel Deep Reinforcement Learning based automated stock trading system using cascaded LSTM networks
16 references·1 citing·45 second hop
A novel Deep Reinforcement Learning based automated stock trading system using cascaded LSTM networks (2023)A novel Deep Reinforcement Learning based…A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)A novel ensemble deep learnin…A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)A hybrid model integrating de…A graph-based CNN-LSTM stock price prediction algorithm with leading indicators (2021)A graph-based CNN-LSTM stock …Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting (2020)Multi-DQN: An ensemble of Dee…Deep reinforcement learning for automated stock trading (2020)Deep reinforcement learning f…Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning (2018)Improving financial trading d…Using deep learning to detect price change indications in financial markets (2017)Using deep learning to detect…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Deep Direct Reinforcement Lea…Artificial Neural Networks architectures for stock price prediction: comparisons and applications (2016)Artificial Neural Networks ar…2013 IEEE International Conference on Big Data (2013)2013 IEEE International Confe…Trading Strategies to Exploit Blog and News Sentiment (2010)Trading Strategies to Exploit…Skulls, Financial Turbulence, and Risk Management (2010)Skulls, Financial Turbulence,…Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Stock market prediction of S&…A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)A bibliometric literature rev…What Moves Stock Prices? 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References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 20132013 IEEE International Conference on Big Data1,390 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2016Deep Direct Reinforcement Learning for Financial Signal Representation and Trading821 cited
  • 2008Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network423 cited
  • 2020Stock price prediction using deep learning and frequency decomposition373 cited
  • 2021A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction364 cited
  • 2021A graph-based CNN-LSTM stock price prediction algorithm with leading indicators332 cited
  • 2010Trading Strategies to Exploit Blog and News Sentiment253 cited
  • 2021A novel ensemble deep learning model for stock prediction based on stock prices and news247 cited
  • 2020Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting227 cited
  • 2010Skulls, Financial Turbulence, and Risk Management212 cited
  • 2016Artificial Neural Networks architectures for stock price prediction: comparisons and applications206 cited
  • 2018Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning

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204 cited
  • 2020Deep reinforcement learning for automated stock trading195 cited
  • 2017Using deep learning to detect price change indications in financial markets157 cited
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    • 2024A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach41 cited