In this research, we attempted to fit a trading system based on polynomial moving regression
bands (MRB) to Nasdaq100 stocks from 2017 till the end of March 2024. Since stocks …

At the beginning of 2020, the COVID-19 pandemic struck the world, affecting the pace of life
and the economic behavioral patterns of people around the world, with an impact exceeding …

The prediction of stock price movements is one of the most challenging tasks in financial
market field. Stock price trends depended on various external factors like investor's …

The exchange of stocks, bonds, and other assets on the stock market is a complicated and
dynamic process that is impacted by several variables. Machine learning methods have …

The stock market is unstable and generally unpredictable, as any one of us could have
predicted. Researchers have been experimenting with time-series data to forecast future …

The prediction of stock prices remains a complex challenge due to the non-linear and
volatile nature of financial markets. Traditional methods, such as fundamental and technical …

The prediction of stock prices remains a complex challenge due to the non-linear and
volatile nature of financial markets. Traditional methods, such as fundamental and technical …

As the global situation is facing many unpredictable risks, like the covid pandemic and the
wars between some countries, a high level of volatility is disturbing the stock market in a …