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Instance-based deep transfer learning with attention for stock movement prediction
16 references·0 citing·40 second hop
Instance-based deep transfer learning with attention for stock movement prediction (2022)Instance-based deep transfer learning wit…Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts (2021)Accurate Multivariate Stock M…Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction (2020)Modeling the Stock Relation w…Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (2020)Hierarchical Multi-Scale Gaus…Adaptive stock trading strategies with deep reinforcement learning methods (2020)Adaptive stock trading strate…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…Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersStock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Price Prediction via Di…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …Sentiment analysis on social media for stock movement prediction (2015)Sentiment analysis on social …Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Financial time series forecasting using support vector machines (2003)Financial time series forecas…An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks (2001)An Empirical Analysis of Data…Portfolio return autocorrelation (1993)Portfolio return autocorrelat…When Are Contrarian Profits Due to Stock Market Overreaction? (1990)When Are Contrarian Profits D…The Adjustment of Stock Prices to New Information (1969)Efficient Capital Markets: II (1991)The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices (2016)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)Forecasting with artificial neural networks: (1998)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016)Text as Data (2019)A Bayesian regularized artificial neural network for stock market forecasting (2013)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Predicting stock market index using fusion of machine learning techniques (2014)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)Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)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. (1964)Textual analysis of stock market prediction using breaking financial news (2009)Technical analysis and sentiment embeddings for market trend prediction (2019)Financial time series forecasting with multi-modality graph neural network (2021)A Random Walk Down Wall Street (1973)Size, value, and momentum in international stock returns (2012)Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach (2021)The Behavior of Stock-Market Prices (1965)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Do Industries Explain Momentum? (1999)Improved estimation of the covariance matrix of stock returns with an application to portfolio selection (2003)Maxing out: Stocks as lotteries and the cross-section of expected returns (2010)A systematic review of fundamental and technical analysis of stock market predictions (2019)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
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References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 1990When Are Contrarian Profits Due to Stock Market Overreaction?1,707 cited
  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2015Sentiment analysis on social media for stock movement prediction626 cited
  • 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
  • 2018Stock Movement Prediction from Tweets and Historical Prices433 cited
  • 2019Enhancing Stock Movement Prediction with Adversarial Training279 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 1993Portfolio return autocorrelation266 cited
  • 2020Adaptive stock trading strategies with deep reinforcement learning methods263 cited
  • 2001An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks238 cited
  • 2020Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction231 cited
  • 2020Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction

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186 cited
  • 2021Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts151 cited
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