Purpose

The purpose of this paper is to investigate the way that Saudi universities are engaging their audience via social media platforms by means of the five meaningful themes: visibility, branding, authenticity, commitment, and engagement. The study will answer the questions: how do Saudi universities exploit social media platforms to engage their target audience? What are the recommendations for Saudi universities toward maximizing the value of social media engagement?

Design/methodology/approach

This paper presents an autonomous effective trading system devoted to the support of decision-making processes in the financial market domain. Genetic programming (GP) has been used effectively as an artificial intelligence technique in the financial field, especially for forecasting tasks in financial markets. In this paper, GP is employed as a means of automatically generating short-term trading rules on financial markets using technical indicators and fundamental parameters.

The development of computational intelligence based trading strategies for financial markets has been the focus of research over the last few years. To develop efficient and effective automated trading strategies, we need to understand the workings of the market and the patterns emerging as a result of the traders interactions. In this paper, we develop an adaptive Genetic Programming (GP) agent-based trading system under Intraday Seasonality Model (ISM), which is abbreviated as GP-ISM trading system.