The prediction of the stock market was one of the greatest obstacles. Since there are many reserves whose values are extremely unpredictable, good returns from investment must be calculated and determined. We tried our best to address these challenges by picking an index (a collection of stocks in the same sector) and developed an arbitration style trading mechanism in which the leading stock of that index could be chosen by correlation analyzes and technical analyses. When people hear the trade in similarities, they will wonder of arbitration. And that’s why we’re dreaming about investing in arbitrage. Although this is not true: arbitrariness is when two entities that are similar or rather connected are out of whack. So, we will look at a stock and its index and they are not identical, so they’re never out of whack. There are rules to define the entries and exits in a chosen stock in the trading system. The additional advantage of this method is to forecast the movement of one stock using its relationship with another stock of the same index. Established method is split into two phases: stock correlation and technological analysis. Experiments between July 2017 and June 2020 indicate that the know-how could include an index and its entries and exits.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.