An integrated node transformer and BERT sentiment model reports 0.80% MAPE for one-day stock predictions on 20 S&P 500 stocks, beating ARIMA and LSTM baselines.
MG-Conv: A spa- tiotemporal multi-graph convolutional neural network for stock market index trend prediction,
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Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis
An integrated node transformer and BERT sentiment model reports 0.80% MAPE for one-day stock predictions on 20 S&P 500 stocks, beating ARIMA and LSTM baselines.