This paper reviews recent advancements in machine learning (ML) driven automated
trading systems (ATS). ATS has progressed from simple rule-based systems to sophisticated …

This study explores the comparative performance of cutting-edge AI models, ie, Finaance
Bidirectional Encoder representations from Transsformers (FinBERT), Generatice Pre …

Purpose In developing nations, the utility and intention to use algorithmic trading (AT)
platforms and financial services are predominantly reliant on investors' technological …

В статье рассмотрены современные тенденции применения искусственного
интеллекта на финансовом рынке. Актуальность исследования связана с активным …

In recent years, the use of Sentiment Analysis (SA) has proliferated across a wide variety of
fields, including financial markets and services. SA can help predict market trends, detect …

Stock trading is a popular and important profession that requires near-to-perfect data
analytical skills, mathematical and statistical knowledge, and a broad understanding of …