Stock traders consider several factors or objectives in making decisions. Moreover, they
differ in the importance they attach to each of these objectives. This requires a tool that can …

Our proposed prediction and learning method is a hybrid referred to as MKL-GA, which
combines multiple kernel learning (MKL) for regression (MKR) and a genetic algorithm (GA) …

The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult
but popular problem. The use of Machine Learning in this problem allows us to obtain …

This paper utilizes a small number of coherent trend-following technical indicators with
similar characteristics, but constructed with a different philosophy, in order to predict the …

In the Forex market, the price of the currencies increases and decreases rapidly based on
many economic and political factors such as commercial balance, the growth index, the …

Investors use varies tools in the investment process. Some use technical or fundamental
analysis, or both in that process. The aim of the following survey research is first, to examine …

This book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the
purpose of practical applications. It provides a methodology for a GA-based search strategy …

Trend following (TF) is a rule-based trading mechanism that taps on the movements of long-
term market trend instead of relying on any forecast or external information to decide when …

In general terms, trading risks are usually associated with possible losses in financial
markets arising from changes in the price of equities, currencies and interest rates, but there …

Predicting stock price change rates for providing valuable information to investors is a
challenging task. Individual participants may express their opinions in social network service …