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...
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European Alliance for Innovation (EAI)
2021
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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) |
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dogecoin cryptocurrency deep learning sentiment analysis Computer engineering. Computer hardware TK7885-7895 Systems engineering TA168 |
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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 |
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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 |
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