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  Published Paper Details:

  Paper Title

CRYPTO CURRENCY PREDICTION USING DEEP LEARNING

  Authors

  B.P. Soundarya,  S. Sri Sai Kousik Reddy,  B. Manikanta Sai

  Keywords

Crypto currency, Deep learning, Neural network, Prediction, Markets

  Abstract


Inside the beyond 8 years of bitcoin's history, the economic system has visible the charge of bitcoin hastily grow due to its promising outlook on the future for crypto currencies. Traders have taken observe of numerous blessings crypto provides over the traditional banking system. One such trait is that crypto forex lets in for decentralized banking, meaning bitcoin or any alternate coins(normally referred as alt coins) can't be regulated by way of powerful banks. There may be also a marketplace cap of 21 million bitcoins that can be in movement, therefore a surplus of bitcoins cannot be "revealed" which would bring about inflation. Bitcoin resolves the difficulty with transaction protection by way of using a block chain, or a ledger, which statistics the records of each transaction ever made into one long hexadecimal "chain" of nameless transactions, which continues transaction records obvious, but also exclusive. Recurrent neural networks (RNN) with long term memory cells(LSTM) cells can be used . We show that the price of crypto coins can be expected with machine learning.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106463

  Paper ID - 208954

  Page Number(s) - e19-e22

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  B.P. Soundarya,  S. Sri Sai Kousik Reddy,  B. Manikanta Sai,   "CRYPTO CURRENCY PREDICTION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.e19-e22, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106463.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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