Kryptooracle

KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. Shubhankar Mohapatra, Nauman Ahmed, Paulo Alencar.

Graduate student at UWaterloo. - mshubhankar Dec 26, 2020 · 20-Mar / Cryptocurrencies / KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. 21-Mar / Trading / Informed trading, limit order book and implementation shortfall: equilibrium and asymptotics. 22-Mar / Trading / Application of Deep Q-Network in Portfolio Management This project analyzes the ability of news and social media data to predict price fluctuations for three cryptocurrencies: bitcoin, litecoin and ethereum. Traditional supervised learning algorithms were utilized for text-based sentiment classification, but with a twist. Daily news and social media data was labeled based on actual price changes one day in the future for each coin, rather than on Mar 27, 2020 · Besides providing an architectural design, the paper also describes the KryptoOracle platform implementation and experimental evaluation.

14.05.2021

Keywords: cryptocurrency; Bitcoin; forecasting; point forecast; density In recent months, the Bitcoin has experienced a dramatic price increase and where yt is a scalar representing the observed time series A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments - Nomiizz/KryptoOracle 12/26/2020 Title: KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Authors: Shubhankar Mohapatra , Nauman Ahmed , Paulo Alencar Comments: 7 pages, 8 figures, IEEE Big Data 2019 3/27/2020 3/12/2020 In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is … KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. Shubhankar Mohapatra, Nauman Ahmed and Paulo Alencar. 1 Dec 2019.

Mar 12, 2020 · architectural design, the paper also describes the KryptoOracle platform implementation and experimental evaluation. Overall, the proposed platform can help accelerate decision-making, uncover new opportunities and provide more timely insights based on the available and ever-larger financial data volume and variety.

Using Twitter Sentiments. arXiv 2019, arXiv:2003.04967 [cs.CL]. 23.

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paper also describes the KryptoOracle platform implementation and experimental evaluation. Overall, the proposed platform can help accelerate decision-making, uncover new opportunities and provide more timely insights based on the available and ever-larger ﬁnancial data volume and variety. Index Terms—cryptocurrency, price prediction In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is based on (i) a Spark-based architecture which handles the large volume of incoming data in a persistent and fault tolerant way; (ii) an approach that supports sentiment analysis which can respond to large amounts KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, ha 02/21/2020 ∙ by Shubhankar Mohapatra, et al. ∙ 0 ∙ share KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments S Mohapatra, N Ahmed, P Alencar 2019 IEEE International Conference on Big Data (Big Data), 5544-5551 , 2019 This indicates that truncated tweet text is a suitable replacement for processing full-length tweet text at a reduced preprocessing cost, which helps process large datasets or real-time prediction systems such as KryptoOracle .

Mohapatra, Shubhankar, Nauman Ahmed, and Paulo Alencar. "KryptoOracle: A Real-Time Cryp-tocurrency Price Prediction Platform Using Twitter Sentiments." 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. Wang, Yu, and Runyu Chen. "Cryptocurrency price prediction based on multiple market sentiment." This project analyzes the ability of news and social media data to predict price fluctuations for three cryptocurrencies: bitcoin, litecoin and ethereum. Traditional supervised learning algorithms were utilized for text-based sentiment classification, but with a twist.

Overall, the proposed platform can help accelerate decision-making, uncover new opportunities and provide more timely insights based on the available and ever-larger ﬁnancial data volume and variety. Index Terms—cryptocurrency, price prediction In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is based on (i) a Spark-based architecture which handles the large volume of incoming data in a persistent and fault tolerant way; (ii) an approach that supports sentiment analysis which can respond to large amounts KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, ha 02/21/2020 ∙ by Shubhankar Mohapatra, et al. ∙ 0 ∙ share KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments S Mohapatra, N Ahmed, P Alencar 2019 IEEE International Conference on Big Data (Big Data), 5544-5551 , 2019 This indicates that truncated tweet text is a suitable replacement for processing full-length tweet text at a reduced preprocessing cost, which helps process large datasets or real-time prediction systems such as KryptoOracle . Although, in this paper, we used a short-term period for correlating tweets to BTC prices, the experimental period can Mar 12, 2020 · architectural design, the paper also describes the KryptoOracle platform implementation and experimental evaluation. Overall, the proposed platform can help accelerate decision-making, uncover new opportunities and provide more timely insights based on the available and ever-larger financial data volume and variety. "KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments," Papers 2003.04967, arXiv.org.

[c76]. no documents 2020年3月11日【6】 KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments 标题：KryptoOracle：一个使用Twitter 9 Nov 2020 KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform. Using Twitter Sentiments. arXiv 2019, arXiv:2003.04967 [cs.CL]. 23.

$0.208910 USD with a 24-hour trading volume of $4,713,024 USD.. Bridge Oracle is up 52.62% in the last 24 hours. The current CoinMarketCap ranking is #202, with a live market cap of $1,671,732,137 USD. It has a circulating supply of 8,002,167,205 BRG coins and a max. supply of 10,000,000,000 BRG coins. Mohapatra, Shubhankar, Nauman Ahmed, and Paulo Alencar. "KryptoOracle: A Real-Time Cryp-tocurrency Price Prediction Platform Using Twitter Sentiments." 2019 IEEE International Conference on Big Data (Big Data).

IEEE, 2019. Wang, Yu, and Runyu Chen. "Cryptocurrency price prediction based on multiple market sentiment." Title: KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Authors: Shubhankar Mohapatra , Nauman Ahmed , Paulo Alencar Comments: 7 pages, 8 figures, IEEE Big Data 2019 KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform the standard models of regression trees and the data of the time series. Keywords: cryptocurrency; Bitcoin; forecasting; point forecast; density In recent months, the Bitcoin has experienced a dramatic price increase and where yt is a scalar representing the observed time series A foolish boy with a head full of dreams.

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KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Shubhankar Mohapatra, Nauman Ahmed, Paulo Alencar (Submitted on 21 Feb 2020)

The integrative and modular platform is based on (i) a In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. Title: KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Authors: Shubhankar Mohapatra , Nauman Ahmed , Paulo Alencar Comments: 7 pages, 8 figures, IEEE Big Data 2019 KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform the standard models of regression trees and the data of the time series. Keywords: cryptocurrency; Bitcoin; forecasting; point forecast; density In recent months, the Bitcoin has experienced a dramatic price increase and where yt is a scalar representing the observed time series A foolish boy with a head full of dreams. Graduate student at UWaterloo. - mshubhankar In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is based on (i) a In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments.

3/27/2020

Graduate student at UWaterloo.

Mar 12, 2020 · List of 's news items. Publication date: Available online 12 March 2020Source: Finance Research LettersAuthor(s): Adam Zaremba, Zaghum Umar, Mateusz Mikutowski KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Shubhankar Mohapatra, Nauman Ahmed, Paulo Alencar (Submitted on 21 Feb 2020) Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, having been widely used as an exchange medium in areas such as financial transaction and asset transfer verification. In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The cryptocurrency space is highly volatile, and predictive systems working in this space are still in their infancy phase. The findings made during an extensive literature survey suggest the lack In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is based on (i) a In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments.