Stock market and cryptocurrency forecasting is very important to investors as they aspire to achieve even the slightest … predictions is challenging, noting that accuracy does not equate to reliability, especially when financial time-series forecasting … method for forecasting financial time series based on tactical input-output feature mapping techniques using machine learning …

The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock … study. These networks are TECH (4-3-1) and TECH (3-3-1) whose out-of-sample forecast performance was compared with a … the artificial neural network based models outperformed the ARIMA based model in forecasting future developments of the …