An Ontological Framework for Risk Mitigation in Stock Market

The stock market is used to be very popular from the eighteenth century, and the craze of the stock market is increasing with the high rate across the globe. Though people are putting their hard-earned money into the stock market to earn a high profit, yet few of them do research before investing or taking a trade, which results in a major loss, and sometimes whole capital vanishes out. The stock market depends on various factors like price, volume, decay value, etc. these factors can be easily identified by the indicators. In the literature, various indicators are available that can be used to mitigate the risk in the stock market while investing or trading. However, none indicator can provide the full assurance of protecting the capital when applied alone. Therefore, it is required either to develop a new indicator or to propose a framework that consists of a set of those indicators that can mitigate the investor's risk as compared to any of the available indicators. The aim of this paper is to propose an ontology-based framework that assimilates the features of three indicators, namely, Bollinger band, Fibonacci, and Heikin-Ashi, and map them with an ontology in the form of classes, properties, instances. The obtained results depict that the proposed framework achieves better results than available indicators.