The quality of the interpretation of the sentiment in the online buzz in the social media and
the online news can determine the predictability of financial markets and cause huge gains …

Several studies have been published in the last 55 years exploring technical analysis.
However, there is a lack of research that consolidates the available knowledge concerning …

In this paper a novel approach is proposed to predict intraday directional-movements of a
currency-pair in the foreign exchange market based on the text of breaking financial news …

Automated trading, which is also known as algorithmic trading, is a method of using a
predesigned computer program to submit a large number of trading orders to an exchange …

Financial markets are complex systems influenced by many interrelated economic, political
and psychological factors and characterised by inherent nonlinearities. Recently, there have …

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 …

Predicting the future price trends of stocks is a challenging yet intriguing problem given its
critical role to help investors make profitable decisions. In this paper, we present a …

Low reporting quality, as demonstrated by lower earnings informativeness, can exacerbate
the information asymmetry gap, particularly in emerging markets. Although recent research …

This study applies various popular technical trading rules to Asian property market indices
from 1995 to 2015 to investigate the profitability of these rules. The results validate the …

As a result of climate change, investors are becoming more interested in investing in clean
energy stocks, appealing to many investors due to the prospects of clean energy. Using …