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 …

Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …

With increasing competition and pace in the financial markets, robust forecasting methods
are becoming more and more valuable to investors. While machine learning algorithms offer …

Achieving accurate exchange rate forecasts has a significant impact in construction of
international trade and currency markets. However, because of the volatility of exchange …

Cryptocurrency has grown outstandingly in recent years. Additional events throughout the
planet have acknowledged the significance of embracing numeral benefits virtually with …

To address the nonlinear and non-stationary characteristics of financial time series such as
foreign exchange rates, this study proposes a hybrid forecasting model using empirical …

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 …

Financial time series forecasting has become a challenge because it is noisy, non-stationary
and chaotic. Most of the existing forecasting models for this problem do not take market …

The exchange rate forecasting plays an important role in the economic and financial fields.
Oil price fluctuations have a great impact on the country's economic activity. Based on the …

Technical indicators are widely used in Forex and other financial markets which are the
building blocks of many trading systems. A trading system is based on technical indicators or …