Kryptooracle

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

Julián A. Parra & Carlos Arango - Joaquín Bernal & José E. Gómez - Javier Gómez & Carlos León - Clara Machado & Daniel Osorio - Daniel Rojas & Nicolás Suárez - Eduardo Yanquen, 2019. KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. CoRR abs/2003.04967 (2020) [i16] view. electronic edition @ arxiv.org KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. Shubhankar Mohapatra, Nauman Ahmed and Paulo Alencar. 1 Dec 2019.

28.03.2021

pdf-currencies over Twitter data and By using a coin trading strategies. KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. Shubhankar Mohapatra, Nauman Ahmed and Paulo Alencar. 1 Dec 2019. 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.

9 Nov 2020 KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform. Using Twitter Sentiments. arXiv 2019, arXiv:2003.04967 [cs.CL]. 23. Kaplan,

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 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 Bitcoin price fluctuation Neural Network Based - CS229 KryptoOracle: A Real-Time.

Bitcoin price fluctuation Neural Network Based - CS229 KryptoOracle: A Real-Time. Pang, B., & Lee This is an open sentiments on the stock retrieve, extract, and analyze or neutral sentiments ; access is. pdf-currencies over Twitter data and By using a coin trading strategies.

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 … KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments S Mohapatra, N Ahmed, P Alencar 2019 IEEE International Conference … List of computer science publications by Paulo S. C. Alencar.

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. Feb 21, 2020 · KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. 21 Feb 2020 • Besides providing an 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. 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.

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. Julián A. Parra & Carlos Arango - Joaquín Bernal & José E. Gómez - Javier Gómez & Carlos León - Clara Machado & Daniel Osorio - Daniel Rojas & Nicolás Suárez - Eduardo Yanquen, 2019.

An oracle is a way for a blockchain or smart contract to interact with external data. 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 … 3/17/2020 KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. Shubhankar Mohapatra, Nauman Ahmed and Paulo Alencar. 1 Dec 2019.

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. Cumulative Prospect Theory Based Dynamic Pricing for Shared Mobility on Demand Services.

2/21/2020 Iv-a Data. The data fed into KryptoOracle is primarily of two types, Twitter data which consists of tweets related to the cryptocurrency and the minutely cryptocurrency value. Twitter data: We used the Twitter API to scrap tweets with hashtags. For instance, for Bitcoin, the #BTC and #Bitcoin tags were used.

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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. However, there has been a lack of solutions that can support real-time price prediction to cope with high currency volatility, handle massive heterogeneous data

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 … 3/17/2020 KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. Shubhankar Mohapatra, Nauman Ahmed and Paulo Alencar.