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Lob-based deep learning models for stock price trend prediction: a benchmark study
16 references·0 citing·44 second hop
Lob-based deep learning models for stock price trend prediction: a benchmark study (2024)Lob-based deep learning models for stock …Machine learning techniques and data for stock market forecasting: A literature review (2022)Machine learning techniques a…Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Generación de series de tiemp…Applications of deep learning in stock market prediction: Recent progress (2021)Applications of deep learning…A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)A Survey of Forex and Stock P…Deep learning for financial applications : A survey (2020)Deep learning for financial a…Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Stock Market Analysis: A Revi…Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock closing price predictio…DeepLOB: Deep Convolutional Neural Networks for Limit Order Books (2019)DeepLOB: Deep Convolutional N…A systematic review of fundamental and technical analysis of stock market predictions (2019)A systematic review of fundam…Stock Movement Prediction from Tweets and Historical Prices (2018)Stock Movement Prediction fro…State of the Art: Reproducibility in Artificial Intelligence (2018)State of the Art: Reproducibi…Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks (2017)Forecasting Stock Prices from…Sentiment analysis on social media for stock movement prediction (2015)Sentiment analysis on social …Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…News impact on stock price return via sentiment analysis (2014)News impact on stock price re…Stock Market Volatility and Macroeconomic Fundamentals (2012)Stock Market Volatility and M…The Adjustment of Stock Prices to New Information (1969)Efficient Capital Markets: II (1991)Twitter mood predicts the stock market (2011)The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices (2016)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)When Is a Liability Not a Liability? 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References

  • 2015Deep learning applications and challenges in big data analytics2,597 cited
  • 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,463 cited
  • 2012Stock Market Volatility and Macroeconomic Fundamentals1,122 cited
  • 2021Applications of deep learning in stock market prediction: Recent progress725 cited
  • 2015Sentiment analysis on social media for stock movement prediction626 cited
  • 2020Deep learning for financial applications : A survey550 cited
  • 2019A systematic review of fundamental and technical analysis of stock market predictions545 cited
  • 2022Machine learning techniques and data for stock market forecasting: A literature review542 cited
  • 2014News impact on stock price return via sentiment analysis506 cited
  • 2019Stock Market Analysis: A Review and Taxonomy of Prediction Techniques465 cited
  • 2019Stock closing price prediction based on sentiment analysis and LSTM436 cited
  • 2018Stock Movement Prediction from Tweets and Historical Prices433 cited
  • 2017Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks394 cited
  • 2021A Survey of Forex and Stock Price Prediction Using Deep Learning381 cited

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2018
State of the Art: Reproducibility in Artificial Intelligence
292 cited
  • 2019DeepLOB: Deep Convolutional Neural Networks for Limit Order Books288 cited
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