Artificial intelligence (AI)-based models have emerged as powerful tools in financial markets,
capable of reducing investment risks and aiding in selecting highly profitable stocks by …

This review paper thoroughly examines the role of technical analysis in energy and financial
markets with a primary focus on its application, effectiveness, and comparative analysis with …

Stock investment is rapidly increasing in Indonesia, focusing significantly on
telecommunication stocks. As the market grows, it becomes more critical for investors to …

High frequency trading, often known as HFT, is a subset of algorithmic trading, which is one
of the most significant improvements to the trading environment in recent years. Algorithmic …

Stock market value prediction is a trendy field these days with a lot of promise and
challenges. An excess existing of methods for forecasting stock values have surfaced in …

Financial and cash flow data is a particular kind of past temporal sequence information
which gives a huge quantity of data which is employed often in the task including data …

This research presents a comprehensive evaluation of Deep Learning models for high-
frequency univariate financial time series forecasting. I compare several architectures …

Stock price prediction is an emerging domain of machine learning applications that largely
depends on the continuous monitoring and processing of information. One of the open …