About: Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach
Creator	Kotsilieris, Theodore Livieris, Ioannis Pintelas, Emmanuel Pintelas, Panagiotis Stavroyiannis, Stavros
topic	covid:ac36c0db719d6a6c5bc8e58b0d97d8bcfd78d909#this
source	PMC
abstract	In last decade, cryptocurrency has emerged in financial area as a key factor in businesses and financial market opportunities. Accurate predictions can assist cryptocurrency investors towards right investing decisions and lead to potential increased profits. Additionally, they can also support policy makers and financial researchers in studying cryptocurrency markets behavior. Nevertheless, cryptocurrency price prediction is considered a very challenging task, due to its chaotic and very complex nature. In this study we evaluate some of the most successful and widely used deep learning algorithms forecasting cryptocurrency prices. The results obtained, provide significant evidence that deep learning models are not able to solve this problem efficiently and effectively. Conducting detailed experimentation and results analysis, we conclude that it is essential to invent and incorporate new techniques, strategies and alternative approaches such as: more sophisticated prediction algorithms, advanced ensemble methods, feature engineering techniques and other validation metrics.
has issue date	2020-05-06(xsd:dateTime)
bibo:doi	10.1007/978-3-030-49186-4_9
has license	no-cc
sha1sum (hex)	ac36c0db719d6a6c5bc8e58b0d97d8bcfd78d909
schema:url	https://doi.org/10.1007/978-3-030-49186-4_9
resource representing a document's title	Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach
has PubMed Central identifier	PMC7256561
schema:publication	Artificial Intelligence Applications and Innovations
resource representing a document's body	covid:ac36c0db719d6a6c5bc8e58b0d97d8bcfd78d909#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/ac36c0db719d6a6c5bc8e58b0d97d8bcfd78d909
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