Effective exploitation of macroeconomic indicators for stock direction classification using the multimodal fusion transformer

HIGHLIGHTS

• who: TAE-WON LEE et al. from the of, Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland have published the Article: Effective Exploitation of Macroeconomic Indicators for Stock Direction Classification Using the Multimodal Fusion Transformer, in the Journal: (JOURNAL)
• what: The model combined with the CNN and LSTM is employed to extract the features of the limit order book and stock price data. In this paper, the model that learns the correlation between significant data affecting the stock price well is designed to solve randomness problems in the stock price data. The stock . . .
  

   

  

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