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 …

Chong and Ng (2008) find that the Moving Average Convergence–Divergence (MACD) and
Relative Strength Index (RSI) rules can generate excess return in the London Stock …

We propose a novel approach to study if Latin America Stock Markets are Efficient. This test
is based on a statistical arbitrage technique known as Pairs Trading, which is a relative …

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 …

We provide evidence of the usefulness of exploiting online text data in stock prediction
systems. We do this by mining a popular Argentinian stock message board and empirically …

Stock market timing is regarded as a challenging task of financial prediction. An accurate
prediction of stock trend can yield great profits for investors. At present, recurrent neural …

Predicting Bitcoin price trends is necessary because they represent the overall trend of the
cryptocurrency market. As the history of the Bitcoin market is short and price volatility is high …

Much research has examined performance or market efficiency by using the moving
average convergence divergence (MACD) technical analysis tool. However, most tests fail to …

The idea of this study is derived from observing the profitability of stock investments
following the phenomena of continuously rising (or falling) prices of stocks and continuously …