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Multi-Element Hierarchical Attention Capsule Network for Stock Prediction
16 references·1 citing·42 second hop
Multi-Element Hierarchical Attention Capsule Network for Stock Prediction (2020)Multi-Element Hierarchical Attention Caps…Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)Knowledge-Driven Stock Trend …Enhancing Stock Movement Prediction with Adversarial Training (2019)Enhancing Stock Movement Pred…Stock Movement Prediction from Tweets and Historical Prices (2018)Stock Movement Prediction fro…Predicting the Effects of News Sentiments on the Stock Market (2018)Predicting the Effects of New…Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersHybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction (2018)Hybrid Deep Sequential Modeli…Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks (2016)Leverage Financial News to Pr…Deep learning for event-driven stock prediction (2015)Deep learning for event-drive…Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Using Structured Events to Pr…Semantic Frames to Predict Stock Price Movement (2013)Semantic Frames to Predict St…Exploiting Topic based Twitter Sentiment for Stock Prediction (2013)Exploiting Topic based Twitte…Comparing Twitter and Traditional Media Using Topic Models (2011)Comparing Twitter and Traditi…Textual analysis of stock market prediction using breaking financial news (2009)Textual analysis of stock mar…Mining of Concurrent Text and Time Series (2000)Mining of Concurrent Text and…Does the Stock Market Overreact? (1985)Does the Stock Market Overrea…The Adjustment of Stock Prices to New Information (1969)The Adjustment of Stock Price…News-driven stock market index prediction based on trellis network and sentiment attention mechanism (2024)News-driven stock market inde…The Behavior of Stock-Market Prices (1965)A Random Walk Down Wall Street (1973)Application of support vector machines in financial time series forecasting (2001)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)Applications of deep learning in stock market prediction: Recent progress (2021)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)The General Theory of Employment, Interest and Money, by John Maynard Keynes (1936)The General Theory of Employment, Interest and Money. (1936)Judgment Under Uncertainty: Heuristics and Biases. (1984)The Cross-Section of Expected Stock Returns (1992)Multifactor Explanations of Asset Pricing Anomalies (1996)Empirical study of topic modeling in Twitter (2010)Predicting the Future with Social Media (2010)Unpacking the Use of Social Media for Protest Behavior (2013)Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology (2018)The spread of true and false news online (2018)Twitter mood predicts the stock market (2011)Correlating financial time series with micro-blogging activity (2012)A novel data-driven stock price trend prediction system (2017)Improving stock market prediction via heterogeneous information fusion (2017)A local and global event sentiment based efficient stock exchange forecasting using deep learning (2019)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)NSE Stock Market Prediction Using Deep-Learning Models (2018)Deep learning for financial applications : A survey (2020)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Predicting stock market index using fusion of machine learning techniques (2014)Forecasting daily stock trend using multi-filter feature selection and deep learning (2020)Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Technical analysis and sentiment embeddings for market trend prediction (2019)Financial time series forecasting with multi-modality graph neural network (2021)Size, value, and momentum in international stock returns (2012)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (2020)Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction (2020)Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach (2021)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Efficient Capital Markets: II (1991)Introductory Econometrics for Finance (2008)
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References

  • 1985Does the Stock Market Overreact?7,569 cited
  • 1969The Adjustment of Stock Prices to New Information3,625 cited
  • 2011Comparing Twitter and Traditional Media Using Topic Models1,214 cited
  • 2009Textual analysis of stock market prediction using breaking financial news777 cited
  • 2015Deep learning for event-driven stock prediction675 cited
  • 2018Stock Movement Prediction from Tweets and Historical Prices433 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2019Enhancing Stock Movement Prediction with Adversarial Training279 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 2013Exploiting Topic based Twitter Sentiment for Stock Prediction210 cited
  • 2019Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network198 cited
  • 2000Mining of Concurrent Text and Time Series133 cited
  • 2018Predicting the Effects of News Sentiments on the Stock Market132 cited
  • 2013Semantic Frames to Predict Stock Price Movement96 cited
  • 2016Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks91 cited

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  • 2018Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction60 cited
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    • 2024News-driven stock market index prediction based on trellis network and sentiment attention mechanism34 cited