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LLM-Augmented Linear Transformer–CNN for Enhanced Stock Price Prediction
7 references·3 citing·44 second hop
LLM-Augmented Linear Transformer–CNN for Enhanced Stock Price Prediction (2025)LLM-Augmented Linear Transformer–CNN for …Stock values predictions using deep learning based hybrid models (2021)Stock values predictions usin…Stock Market Prediction Using Linear Regression and SVM (2021)Stock Market Prediction Using…Applications of deep learning in stock market prediction: Recent progress (2021)Applications of deep learning…Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Forecasting stock prices with…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Short term forecasting with support vector machines and application to stock price prediction (2008)Short term forecasting with s…Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics (2026)Marketing-AutoM3L: domain-awa…RCSAN residual enhanced channel spatial attention network for stock price forecasting (2025)RCSAN residual enhanced chann…AI-Driven Post-Earthquake Emergency Material Demand Prediction: Integrating RAG With Reasoning Large Language Model (2025)AI-Driven Post-Earthquake Eme…Mutual Fund Performance (1966)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Size and Book-to-Market Factors in Earnings and Returns (1995)Stock Price Prediction based on SSA and SVM (2014)Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations (2015)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)The Behavior of Stock-Market Prices (1965)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Data mining with big data (2013)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Social Media: Defining, Developing, and Divining (2015)Forecasting stock market movement direction with support vector machine (2004)Deep learning for event-driven stock prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)The Cross-Section of Expected Stock Returns (1992)Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions (2020)Stock price prediction using deep learning and frequency decomposition (2020)Generalized autoregressive conditional heteroskedasticity (1986)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Machine learning techniques and data for stock market forecasting: A literature review (2022)Stock market index prediction using deep Transformer model (2022)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Correlation and Simple Linear Regression (2003)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction (2022)Deep learning with long short-term memory networks for financial market predictions (2017)Forecasting at Scale (2017)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Association mining based deep learning approach for financial time-series forecasting (2024)Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions (2024)Emergency medical supplies scheduling during public health emergencies: algorithm design based on AI techniques (2023)Enhanced earthquake impact analysis based on social media texts via large language model (2024)Enhancing emergency decision-making with knowledge graphs and large language models (2024)Multivariate GARCH models: a surveyEmpirical Asset Pricing via Machine Learning (2020)Customer Lifetime Value Measurement (2007)Machine Learning in Financial Crisis Prediction: A Survey (2011)Customer churn prediction in telecom using machine learning in big data platform (2019)
this work references cited by second hop

References

  • 2011Twitter mood predicts the stock market5,252 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,177 cited
  • 2021Applications of deep learning in stock market prediction: Recent progress774 cited
  • 2019Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data342 cited
  • 2008Short term forecasting with support vector machines and application to stock price prediction109 cited
  • 2021Stock Market Prediction Using Linear Regression and SVM68 cited
  • 2021Stock values predictions using deep learning based hybrid models68 cited

Cited by

  • 2025RCSAN residual enhanced channel spatial attention network for stock price forecasting26 cited
  • 2025AI-Driven Post-Earthquake Emergency Material Demand Prediction: Integrating RAG With Reasoning Large Language Model13 cited
  • 2026Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics5 cited

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