Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory

<div>Framework of the proposed system for commodity and stock price prediction during the COVID-19 pandemic (SWT: stationary wavelet transform; cA: approximation coefficients; cD: detail coefficients; BDLSTM: bidirectional long short-term memory network).</div>

Complexity

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Figure 1

Figure 1: Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory 