This article aims to contribute to the academic knowledge in the field of scientific production
regarding decision support tools for investments in the capital market, specifically focusing …

The massive reliance on the consumption of non-renewable energy resources for bitcoin
mining has environmental implications. This paper addresses a critical research gap related …

This paper aims to contribute to technical-scientific knowledge about the tools needed to
support the decision making in investments in the capital market. We focus our analysis on …

The implementation of tools such as Genetic Algorithms has not been exploited for asset
price prediction despite their power, robustness, and potential application in the stock …

Recently, the deep learning architecture has been used with an increasing rate for
forecasting in financial markets. In this paper, the LSTM model is used to forecast the daily …

Technical analysis helps investors to better time their entry and exit from financial asset
positions. This methodology relies solely on past information on financial assets price and …

This study explores long-term investment strategies for individuals in European countries
who have limited initial capital and may have no expertise in financial economics. We …

The connection between Singular Spectrum Analysis (SSA) decomposition and short-term
market movements is investigated. Since SSA is a non-parametric approach, suitable to …

This study examines the economic feasibility of technical analysis, such as relative strength
index, moving average convergence and divergence in Indian context. Bombay Stock …

Technical analysis helps investors to better time their entry and exit from financial asset
positions. This methodology relies solely on past information of the prices and volumes of …