Foreign exchange rate prediction is an important problem in finance and it attracts many
researchers owing to its complex nature and practical applications. Even though this …

In recent years, the foreign exchange (FOREX) market has attracted quite a lot of scrutiny
from researchers all over the world. Due to its vulnerable characteristics, different types of …

This paper presents some forecasting techniques for energy demand and price prediction,
one day ahead. These techniques combine wavelet transform (WT) with fixed and adaptive …

Several studies have applied genetic programming (GP) to the task of forecasting with
favorable results. However, these studies, like those applying other techniques, have …

Abstract The Time-delay Added Evolutionary Forecasting (TAEF) approach is a new method
for time series prediction that performs an evolutionary search for the minimum number of …

Predictions of variations in exchange rates of other currencies to a vehicle currency such as
the Dollar (USD) are vital in order to reduce the risks for international transactions. In this …

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 …

Exchange rates forecasting is, and has been a challenging task in finance. Statistical and
econometrical models are widely used in analysis and forecasting of foreign exchange …

Financial time series is non-stationary, chaotic and noisy. Its prediction is a complex
problem. Deep learning, a subset of machine learning, in conjunction with related …

A hybrid ensemble learning approach is proposed for financial time series forecasting
combining AdaBoost algorithm and long short-term memory (LSTM) network. First, LSTM …