Prediction of dogecoin price using deep learning and social media trends

INTRODUCTION: Cryptocurrency is a digital, decentralized form of money based on blockchain technology, which makes it the most secure method of making a transaction. There has been a huge increase in the number of cryptocurrencies in the past few years. Cryptocurrencies such as Bitco...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Basant Agarwal, Priyanka Harjule, Lakshit Chouhan, Upkar Saraswat, Himanshu Airan, Parth Agarwal
Formato: article
Lenguaje:EN
Publicado: European Alliance for Innovation (EAI) 2021
Materias:
Acceso en línea:https://doaj.org/article/948458241d794dd682bc149c8be196de
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:948458241d794dd682bc149c8be196de
record_format dspace
spelling oai:doaj.org-article:948458241d794dd682bc149c8be196de2021-11-30T11:07:41ZPrediction of dogecoin price using deep learning and social media trends2410-021810.4108/eai.29-9-2021.171188https://doaj.org/article/948458241d794dd682bc149c8be196de2021-11-01T00:00:00Zhttps://eudl.eu/pdf/10.4108/eai.29-9-2021.171188https://doaj.org/toc/2410-0218INTRODUCTION: Cryptocurrency is a digital, decentralized form of money based on blockchain technology, which makes it the most secure method of making a transaction. There has been a huge increase in the number of cryptocurrencies in the past few years. Cryptocurrencies such as Bitcoin and Ethereum have become an interesting subject of study in fields such as finance. In 2021, over 4,000 cryptocurrencies are already listed. There are many past studies that focus on predicting the price of cryptocurrencies using machine learning, but the majority of them only focused on Bitcoin. Moreover, the majority of the models implemented for price prediction only used the historical market prices, and do not utilize social signals related to the cryptocurrency. OBJECTIVES: In this paper, we propose a deep learning model for predicting the prices of dogecoin cryptocurrency. The proposed model is based on historical market price data as well as social trends of Dogecoin cryptocurrency. METHODS: The market data of Dogecoin is collected from Kaggle on the granularity of a day and for the same duration the verified tweets have also been collected with hashtags “Dogecoin” and “Doge”. Experimental results show that the proposed model yields a promising prediction of future price of Dogecoin, a cryptocurrency that has recently become the talk of the town of the crypto market. RESULTS: Minimum achieved RMSE in predicted price of Dogecoin was 0.02 where the feature vector consisted of OCVP (Open, Close, Volume, Polarity) values from combined dataset. RESULTS: Experimental results show that the proposed approach performs efficiently.Basant AgarwalPriyanka HarjuleLakshit ChouhanUpkar SaraswatHimanshu AiranParth AgarwalEuropean Alliance for Innovation (EAI)articledogecoincryptocurrencydeep learningsentiment analysisComputer engineering. Computer hardwareTK7885-7895Systems engineeringTA168ENEAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 8, Iss 29 (2021)
institution DOAJ
collection DOAJ
language EN
topic dogecoin
cryptocurrency
deep learning
sentiment analysis
Computer engineering. Computer hardware
TK7885-7895
Systems engineering
TA168
spellingShingle dogecoin
cryptocurrency
deep learning
sentiment analysis
Computer engineering. Computer hardware
TK7885-7895
Systems engineering
TA168
Basant Agarwal
Priyanka Harjule
Lakshit Chouhan
Upkar Saraswat
Himanshu Airan
Parth Agarwal
Prediction of dogecoin price using deep learning and social media trends
description INTRODUCTION: Cryptocurrency is a digital, decentralized form of money based on blockchain technology, which makes it the most secure method of making a transaction. There has been a huge increase in the number of cryptocurrencies in the past few years. Cryptocurrencies such as Bitcoin and Ethereum have become an interesting subject of study in fields such as finance. In 2021, over 4,000 cryptocurrencies are already listed. There are many past studies that focus on predicting the price of cryptocurrencies using machine learning, but the majority of them only focused on Bitcoin. Moreover, the majority of the models implemented for price prediction only used the historical market prices, and do not utilize social signals related to the cryptocurrency. OBJECTIVES: In this paper, we propose a deep learning model for predicting the prices of dogecoin cryptocurrency. The proposed model is based on historical market price data as well as social trends of Dogecoin cryptocurrency. METHODS: The market data of Dogecoin is collected from Kaggle on the granularity of a day and for the same duration the verified tweets have also been collected with hashtags “Dogecoin” and “Doge”. Experimental results show that the proposed model yields a promising prediction of future price of Dogecoin, a cryptocurrency that has recently become the talk of the town of the crypto market. RESULTS: Minimum achieved RMSE in predicted price of Dogecoin was 0.02 where the feature vector consisted of OCVP (Open, Close, Volume, Polarity) values from combined dataset. RESULTS: Experimental results show that the proposed approach performs efficiently.
format article
author Basant Agarwal
Priyanka Harjule
Lakshit Chouhan
Upkar Saraswat
Himanshu Airan
Parth Agarwal
author_facet Basant Agarwal
Priyanka Harjule
Lakshit Chouhan
Upkar Saraswat
Himanshu Airan
Parth Agarwal
author_sort Basant Agarwal
title Prediction of dogecoin price using deep learning and social media trends
title_short Prediction of dogecoin price using deep learning and social media trends
title_full Prediction of dogecoin price using deep learning and social media trends
title_fullStr Prediction of dogecoin price using deep learning and social media trends
title_full_unstemmed Prediction of dogecoin price using deep learning and social media trends
title_sort prediction of dogecoin price using deep learning and social media trends
publisher European Alliance for Innovation (EAI)
publishDate 2021
url https://doaj.org/article/948458241d794dd682bc149c8be196de
work_keys_str_mv AT basantagarwal predictionofdogecoinpriceusingdeeplearningandsocialmediatrends
AT priyankaharjule predictionofdogecoinpriceusingdeeplearningandsocialmediatrends
AT lakshitchouhan predictionofdogecoinpriceusingdeeplearningandsocialmediatrends
AT upkarsaraswat predictionofdogecoinpriceusingdeeplearningandsocialmediatrends
AT himanshuairan predictionofdogecoinpriceusingdeeplearningandsocialmediatrends
AT parthagarwal predictionofdogecoinpriceusingdeeplearningandsocialmediatrends
_version_ 1718406698950983680