Open AccessArbitrage-Type Trade Using Correlation Analysis
Author(s) -
Bijesh Dhyani,
Pushkar Nigam,
Ankit Kumar,
Abhishek Kumar,
Koushik Venkatesan,
V D Ambeth Kumar
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1099/1/012079
Subject(s) - arbitrage , stock (firearms) , stock market index , index (typography) , arbitration , stock market , financial economics , wonder , economics , econometrics , business , computer science , engineering , law , geography , mechanical engineering , psychology , social psychology , context (archaeology) , archaeology , world wide web , political science
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.