We also introduce several new factors including the prices of other related stocks to improve the prediction accuracy The experimental results on the stock data
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[PDF] Hierarchical Multi-Scale Gaussian Transformer for Stock - IJCAI
We propose a Transformer-based method for stock movement prediction [Xu and Cohen, 2018] uses a stochastic recurrent model (SRM) with an extra discriminator and an attention mechanism to address the adaptability of stock markets [Chen et al , 2019] pro- poses to learn event extraction and stock prediction jointly
[PDF] Transformer-Based Capsule Network For Stock Movements Prediction
12 août 2019 · For the stock movements prediction, our model captures the deep effective semantic features of tweets more ef- fectively through the Transformer
[PDF] Stock Price Prediction Using Attention-based Multi-Input LSTM
We also introduce several new factors including the prices of other related stocks to improve the prediction accuracy The experimental results on the stock data
[PDF] Stock & Data News-oriented Stock Price Trend Prediction
The prediction of stock prices in the market has al- prediction solely based on historical stock data pre-training of deep bidirectional transformers for lan-
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