Smart cities can immensely benefit from the applications of Artificial Intelligence. These cities
are highly attractive by their rich pull factors like the provision of facilities for safe and …

In this article we evaluate the deployment of a smart trading system that exploits the features
of different technical indicators for intelligent stock trading. Depending on their behaviors …

This study thoroughly integrated news information into the daily stock price up/down
prediction. The predictors included the carefully selected technical features of stock prices …

This study compares well-known tools of technical analysis (Moving Average Crossover
MAC) with Machine Learning based strategies (LSTM and XGBoost) and Ensembled …

Анотація Дипломна робота першого (бакалаврського) рівня вищої освіти на
тему:«Алгоритмізація та оптимізація процесів біржової торгівлі» містить 86 сторінок, 2 …

Predicting stock market movements is a well-known problem of interest. Financial markets
employ a staggering amount of sophisticated and complex technologies for getting efficient …

Random forest is an ensemble learning method that builds a strong classifier by combining
multiple weak classifiers. Feature engineering refers to the process of improving model …