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TABLE: Time-aware Balanced Multi-view Learning for stock ranking
16 references·0 citing·44 second hop
TABLE: Time-aware Balanced Multi-view Learning for stock ranking (2024)TABLE: Time-aware Balanced Multi-view Lea…MASTER: Market-Guided Stock Transformer for Stock Price Forecasting (2024)MASTER: Market-Guided Stock T…Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction (2023)Deep LSTM and LSTM-Attention …RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis (2022)RETRACTED ARTICLE: An optimal…FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns (2022)FactorVAE: A Probabilistic Dy…Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction (2021)Hierarchical Adaptive Tempora…Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization (2020)Stock Embeddings Acquired fro…Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations (2020)Deep Attentive Learning for S…Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach (2020)Adaptive Quantitative Trading…Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)Knowledge-Driven Stock Trend …Stock Movement Prediction from Tweets and Historical Prices (2018)Stock Movement Prediction fro…Predicting the direction of stock market prices using tree-based classifiers (2018)Predicting the direction of s…Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersAggregating multiple types of complex data in stock market prediction: A model-independent framework (2018)Aggregating multiple types of…Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Price Prediction via Di…Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Comparison of ARIMA and Artif…Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)A systematic review of fundamental and technical analysis of stock market predictions (2019)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)A Bayesian regularized artificial neural network for stock market forecasting (2013)Predicting stock market index using fusion of machine learning techniques (2014)Enhancing Stock Movement Prediction with Adversarial Training (2019)A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Forecasting daily stock trend using multi-filter feature selection and deep learning (2020)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)Smoothing, Forecasting and Prediction of Discrete Time Series. 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References

  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
  • 2019Temporal Relational Ranking for Stock Prediction551 cited
  • 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
  • 2018Stock Movement Prediction from Tweets and Historical Prices433 cited
  • 2018Predicting the direction of stock market prices using tree-based classifiers376 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 2019Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network198 cited
  • 2022RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis162 cited
  • 2020Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations146 cited
  • 2020Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach141 cited
  • 2024MASTER: Market-Guided Stock Transformer for Stock Price Forecasting105 cited
  • 2021Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction84 cited
  • 2023Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction83 cited
  • 2022FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns

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79 cited
  • 2018Aggregating multiple types of complex data in stock market prediction: A model-independent framework74 cited
  • 2020Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization59 cited
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