In recent years, with the rapid development of the economy, more and more people begin to
invest into the stock market. Accurately predicting the change of stock price can reduce the …

Stock price data have the characteristics of time series. At the same time, based on machine
learning long short‐term memory (LSTM) which has the advantages of analyzing …

At the macroeconomic level, the movement of the stock market index, which is determined
by the moves of other stock market indices around the world or in that region, is one of the …

As the COVID-19 pandemic spread through the world at the end of 2019 a state of global
pandemic was declared. As a result, not only all aspects of modern life have been affected …

股票价格预测一直是金融领域的研究热点之一. 然而, 股票价格的形成机制是相当复杂的,
各种因素都可能会导致股票价格的变化. 为此, 提出了一种基于深度学习方法并融合多源数据和 …

Stock marketplace is a complicated and demanding system in which people make more
money or lose their entire savings. The stock market prediction having high accuracy yields …

Stock market investment is the common man's interest nowadays. In fact, after the pandemic
years, people have realized the potential of money earnings available in the investment and …

Abstract The Indonesian Stock Exchange (IDX) stock market index is one of the main
indicators commonly used as a reference for national economic conditions. The value of the …

In this dissertation, I propose a new class of nonparametric regression methods that account
for discontinuities in single and multiple sequential data. The new method is called …

The volatility and complicated structure of financial markets make it difficult to precisely
predict stock prices. The multifaceted patterns and non-linear correlations seen in stock …