Abstract
The popularity of cryptocurrency in recent years has gained a lot of attention among researchers and in academic working areas. The uncontrollable and untraceable nature of cryptocurrency offers a lot of attractions to the people in this domain. The nature of the financial market is non-linear and disordered, which makes the prediction of exchange rates a challenging and difficult task. Predicting the price of cryptocurrency is based on the previous price inflations in research. Various machine learning algorithms have been applied to predict the digital coins’ exchange rate, but in this study, we present the exchange rate of cryptocurrency based on applying the machine learning XGBoost algorithm and blockchain framework for the security and transparency of the proposed system. In this system, data mining techniques are applied for qualified data analysis. The applied machine learning algorithm is XGBoost, which performs the highest prediction output, after accuracy measurement performance. The prediction process is designed by using various filters and coefficient weights. The cross-validation method was applied for the phase of training to improve the performance of the system.
Highlights
Cryptocurrency is a type of digital asset regarding the technologies and protocols of cryptocurrency, e.g., blockchain, which runs based on a decentralized network and contains a secure platform for a transaction which reduces the records of fake processes in the network
Various machine learning algorithms have been applied to predict the digital coins’ exchange rate, but in this study, we present the exchange rate of cryptocurrency based on applying the machine learning XGBoost algorithm and blockchain framework for the security and transparency of the proposed system
Applying Extreme Gradient Boosting (XGBoost) to verify the trend classification using technical indicators for cryptocurrency; The exchange rate prediction is processed on Ether, Litecoin, and Monero; The proposed system focuses on the prediction model’s performance to improve the accuracy of the exchange rate of digital coins; Identifying the techniques of feature selection for related attributes.; Knowledge discovery from the predicted cryptocurrency exchange rate for higher system performance; Using the blockchain technology to improve the system security and transparency for digital coins transactions
Summary
Cryptocurrency is a type of digital asset regarding the technologies and protocols of cryptocurrency, e.g., blockchain, which runs based on a decentralized network and contains a secure platform for a transaction which reduces the records of fake processes in the network. Based on the market position and innovation of digital currencies, lots of research develops the rate of the exchange prediction problem. In 2015, almost one hundred thousand companies officially agreed. The cryptocurrency exchange process per transaction is a record of the ledger that encompasses the public key of the users that are senders and receivers. The main focus of this process is to improve the exchange rate of digital coins with higher performance and a more secure environment.
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