A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Stock Market Prediction During COVID-19 Pandemic: A Time-Series Big Data Analysis Method
Stock price prediction is one of the most difficult fields to study because of the irregularities. With the outbreakOutbreak of COVID-19COVID-19, the epidemicEpidemic has also greatly affected the stock marketStock market. Because stock prices sometimes show similar patternsPatterns and are determined by a varietyVariety of factors, we propose identifying comparable patternsPatterns in past stock data of daily stock prices, as well as selecting the primary components that significantly affect the price, including the impact of COVID-19COVID-19. In this research, we focus on using big data methods to analyse the patternsPatterns of stock price and use the LSTM modelLSTM model for stock prediction and analysed the impact of the epidemicEpidemic on stock trends.
Stock Market Prediction During COVID-19 Pandemic: A Time-Series Big Data Analysis Method
Stock price prediction is one of the most difficult fields to study because of the irregularities. With the outbreakOutbreak of COVID-19COVID-19, the epidemicEpidemic has also greatly affected the stock marketStock market. Because stock prices sometimes show similar patternsPatterns and are determined by a varietyVariety of factors, we propose identifying comparable patternsPatterns in past stock data of daily stock prices, as well as selecting the primary components that significantly affect the price, including the impact of COVID-19COVID-19. In this research, we focus on using big data methods to analyse the patternsPatterns of stock price and use the LSTM modelLSTM model for stock prediction and analysed the impact of the epidemicEpidemic on stock trends.
Stock Market Prediction During COVID-19 Pandemic: A Time-Series Big Data Analysis Method
Urban Sustainability
Pourroostaei Ardakani, Saeid (author) / Cheshmehzangi, Ali (author)
2023-09-28
17 pages
Article/Chapter (Book)
Electronic Resource
English