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Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network
12 references·16 citing·44 second hop
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(1964)Technical analysis and sentiment embeddings for market trend prediction (2019)Financial time series forecasting with multi-modality graph neural network (2021)The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions (1998)Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements (2003)Punctuated Equilibrium Theory: Explaining Stability and Change in Public Policymaking (2018)Temporal Relational Ranking for Stock Prediction (2019)Algorithmic Amplification of Politics on Twitter (2021)Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach (2021)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

  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 2014Wikidata3,366 cited
  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
  • 1963Mandelbrot and the Stable Paretian Hypothesis828 cited
  • 1996Stock market volatility and the business cycle779 cited
  • 2015Deep learning for event-driven stock prediction675 cited
  • 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
  • 2018Stock Movement Prediction from Tweets and Historical Prices433 cited
  • 2016Deep learning for stock prediction using numerical and textual information420 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 1990The Stock Market Boom and Crash of 1929 Revisited272 cited

Cited by

  • 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
  • 2024Data-driven stock forecasting models based on neural networks: A review

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120 cited
  • 2020Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments110 cited
  • 2022A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost104 cited
  • 2022Investigating the informativeness of technical indicators and news sentiment in financial market price prediction89 cited
  • 2022Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks79 cited
  • 2023Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks69 cited
  • 2021REST: Relational Event-driven Stock Trend Forecasting62 cited
  • 2022A survey of the application of graph-based approaches in stock market analysis and prediction62 cited
  • 2023ChatGPT Informed Graph Neural Network for Stock Movement Prediction56 cited
  • 2024A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting48 cited
  • 2024Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models47 cited
  • 2021Graph-Based Stock Recommendation by Time-Aware Relational Attention Network43 cited
  • 2024Evolution and response of flood disaster network public opinion based on an event logic graph: A case study of rainstorms in Henan, China16 cited
  • 2025Language as Data: A Survey of Natural Language Processing for Economics and Finance1 cited