In this article, using the market timing approach and homogeneous and inhomogeneous
collective learning methods, the purchase, maintenance and sales signal and market …

In this multidisciplinary study, we explore the transformative impact of machine learning (ML)
technologies in financial research. Our objective is to understand how supervised and …

Stock markets are responsible for the movement of huge amounts of financial resources
around the world. This market generates a high volume of transaction data, which after …

The notion of stock market gains is an enticing one. For researchers, however, succeeding
in developing a system that can predict market movements can be in and of itself an even …

Predicting stock prices by data analysts have created a great business opportunity for a wide
range of investors in the stock markets. But the fact is difficulte, because there are many …

Tento článek si klade za cíl udělat přehled o současném výzkumu v oblasti aplikací
strojového učení ve financích podniku a jeho oceňování. V současné době se publikuje tak …

Yapılan çalışmada finansal haber sitelerinde yayınlanan ekonomi haberleri kullanılarak
Borsa İstanbul'un önemli endekslerinden XKMYA (enerji)'nın günlük fiyat değişim yönleri …

This thesis introduces a novel machine learning framework for stock selection that only uses
technical indicators and chart patterns as inputs. In contrast to other papers, the machine …