Open AccessBank Nifty Index Trend Prediction using Historical Data, Wave Analysis, Market Sentiment, and Fibonacci Retracement for Dynamic Decision Making
Author(s) -
MANISH BHARDWAJ,
Dattatraya Adane
Publication year - 2021
Publication title -
international journal of next-generation computing
Language(s) - English
Resource type - Journals
eISSN - 2229-4678
pISSN - 0976-5034
DOI - 10.47164/ijngc.v12i5.426
Subject(s) - index (typography) , stock market , stock market index , stock market prediction , econometrics , computer science , economics , geography , context (archaeology) , archaeology , world wide web
Bank Nifty Index trend prediction is an important topic in finance, Banking Sector, and economics. Be a trader,investor, or researcher interested in developing a better prediction model over the year. This paper presents theprocess of building Bank Nifty Index Trend Prediction using Wave Analysis, Market Sentiment, and FibonacciRetracements for Dynamic Decision making. Published Stock data is obtained from The National Stock Exchangeof India Limited (NSE) are used. Result obtained revealed that this model has a strong potential for short termBANK NIFTY INDEX Trend Prediction and compete the similar model by taking the advantage called FibonacciRetracement and Market Sentiment.