Advance Detection Of Bull And Bear Phases In Cryptocurrency Markets
Rahul Arulkumaran,
Suyash Kumar,
Shikha Tomar,
Manideep Gongalla and
Harshitha
Papers from arXiv.org
Abstract:
Cryptocurrencies are highly volatile financial instruments with more and more new retail investors joining the scene with each passing day. Bitcoin has always proved to determine in which way the rest of the cryptocurrency market is headed towards. As of today Bitcoin has a market dominance of close to 50 percent. Bull and bear phases in cryptocurrencies are determined based on the performance of Bitcoin over the 50 Day and 200 Day Moving Averages. The aim of this paper is to foretell the performance of bitcoin in the near future by employing predictive algorithms. This predicted data will then be used to calculate the 50 Day and 200 Day Moving Averages and subsequently plotted to establish the potential bull and bear phases.
Date: 2024-11
New Economics Papers: this item is included in nep-pay
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://arxiv.org/pdf/2411.13586 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2411.13586
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().