 It hasfor several decades, spurred the interest of many researchers to design stock price predictive models . In this paper , the URLanisms search algorithm, a new metaheuristic algorithm is employed as an efficient method for training feedforward neural networks (FFNN).
<meaning-changed>  It hasfor several decades, spurred the interest of many researchers to design stock price predictive models . In this paper , the URLanisms search algorithm, a new metaheuristic algorithm is employed as an efficient method for training feedforward neural networks (FFNN).
 It hasfor several decades, spurred the interest of many researchers to design stock price predictive models ; of which some have been utilized to predict the next day opening and closing prices of the stock indices. This paper proposes the design and implementation of a hybrid URLanisms search trained feedforward neural network model for effective and accurate stock price prediction. The URLanisms search algorithm is used as an efficient method for training feedforward neural networks (FFNN).