• Corpus ID: 245502492

Multi-modal Attention Network for Stock Movements Prediction

@article{He2021MultimodalAN,
  title={Multi-modal Attention Network for Stock Movements Prediction},
  author={Shwai He and Shihao Gu},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.13593}
}
Stock prices move as piece-wise trending fluctuation rather than a purely random walk. Traditionally, the prediction of future stock movements is based on the historical trading record. Nowadays, with the development of social media, many active participants in the market choose to publicize their strategies, which provides a window to glimpse over the whole market’s attitude towards future movements by extracting the semantics behind social media. However, social media contains conflicting… 

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