Dissatisfaction is the first step of progress, this statement serves to be the base of using
Artifcial Intelligence in predicting stock prices. A great deal of people dreamed of predicting …

Stock market prediction based on machine or deep learning is an essential topic in the
financial community. Typically, models with different structures or initializations provide …

This paper addresses the problem of forecasting daily stock trends. The key consideration is
to predict whether a given stock will close on uptrend tomorrow with reference to today's …

The prediction of the stock prices is a very challenging task as the data is associated with
nonlinearity and volatility. The machine learning and artificial intelligence methods have …

The stock market makes a mention of public markets that contains buying, issuing, and
selling shares which trade on a stock exchange. The aim of stock market is to confer capital …

The proposed work studies the volatility pattern of NSE (National Stock exchange) stock
market at its opening price for a period of ten years (2008-2017). In financial market, the …

Applied human large-scale data are collected from heterogeneous science or industry
databases for the purposes of achieving data utilization in complex application …

Long-term worldwide investment trends show that exchange-traded funds (ETFs) are
becoming popular for passive investing. Nifty Bees established in 2001 was the first ETF to …

In today's age, Stock Market is considered to be one of the most thrilling and challenging
financial activities. Due to globalization, it can easily be said that the fluctuations seen in the …

Stock markets have voluminous data and are subjected to uncertainty. The coronavirus
disease of 2019 (COVID-19) pandemic has hit the stock markets and the trends of stock …