User Reputation Analysis for effective Trading on Bitcoin Network

Singh, Divya; Kumar, Lakshay; Jain, Somya

doi:10.1109/ic3.2019.8844874

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2021

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“…Moreover, the price projects not handled. The work [3] has analyzed the user reputation for trading in bitcoin market. This work has given score to individual user for handling the trading.…”

Section: Related Workmentioning

confidence: 99%

Crypto-Currency Price Prediction using CNN and LSTM Models

Mounika¹

2021

IJRASET

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Growing demand in internet usage has bring up to the revolution in digital economy. From the past decade digital economy is playing major role round the world. The physical assets are converted to digital assets, in which Bitcoin is the major crypto currency for the investors. Bitcoin has the biggest market capital among all other crypto currencies. Bitocoin price prediction and forecast has been one of the tedious tasks for long period. Existing works are attempted to go for accurate prediction and forecast through machine learning models. The forecast can be useful work for the investors to know about the nature of price in future and gives them directions for their investments. In this proposed work, Bitcoin price prediction is proposed through the deep learning models such as Convolutional Neural Networks (CNN) and Long short term memory (LSTM) models. The aim of the work is to give accurate predictions and forecast and bring the daily trend for crypto currency market. Experimental results shows that the proposed system given better accuracy on predictions.

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Section: Related Workmentioning

confidence: 99%

Crypto-Currency Price Prediction using CNN and LSTM Models

Mounika¹

2021

IJRASET

View full text Add to dashboard Cite

show abstract

User Reputation Analysis for effective Trading on Bitcoin Network

Cited by 1 publication

References 16 publications

Crypto-Currency Price Prediction using CNN and LSTM Models

Crypto-Currency Price Prediction using CNN and LSTM Models

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