Several studies have been published in the last 55 years exploring technical analysis.
However, there is a lack of research that consolidates the available knowledge concerning …

Accurate electricity consumption forecast has primary importance in the energy planning of
the developing countries. During the last decade several new techniques are being used for …

The forecast of electricity consumption plays an essential role in marketing management. In
this study, a random forest (RF) model coupled with ensemble empirical mode …

This paper analyzes the factor zoo, which has theoretical and empirical implications for
finance, from a machine learning perspective. More specifically, we discuss feature selection …

Time series forecasting has been widely used to determine future prices of stocks, and the
analysis and modeling of finance time series is an important task for guiding investors' …

Previous studies highlight the influence of methods of technical analysis in the search for
exceptional gains in the context of the financial market. Based on this scenario, the main …

Day trading has become an important topic of discussion in the last decades, especially with
regard to computer program trading or the increasing trend of high-frequency transactions …

Multi-criteria decision-making (MCDM) methods are used in the selection and evaluation of
alternatives. However, too many decision criteria and numerical calculations will increase …

The issuance of stocks constitutes a means by which ownership in a company is
represented, and its distribution may vary depending on whether the company is limited or …

During last two decades energy requirements continue to rising with increasing population.
The development and growth of a country and people living of standards are almost related …