Dynamic Bit Coin Value Prediction
Ekta Gupta1, Rajdavinder Singh Boparai2

1Ekta Gupta, Student, Computer Science, Chandigarh University, Mohali, India.
2Rajdavinder Singh Boparai, Professor, Computer Science, Chandigarh University, Mohali, India.
Manuscript received on November 27, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3702-3707  | Volume-9 Issue-2, December, 2019. | Retrieval Number:  E7838068519/2019©BEIESP | DOI: 10.35940/ijeat.E7838.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Bitcoin is online money that is utilized worldwide to make online installments. It has thusly become a venture vehicle in itself and is exchanged a route like other open monetary forms. The capacity to foresee the value change of Bitcoin would in this way encourage future venture and installment choices. The objective of this paper is to learn with what exactness the bearing of Bitcoin cost in USD can be anticipated. The value information is sourced from the Bitcoin Price Index. The errand is accomplished with changing degrees of achievement through the usage of a Bayesian streamlined intermittent neural system (RNN) furthermore, a Long Short Term Memory (LSTM) arranges. The LSTM accomplishes the most noteworthy order precision of 59%.
Keywords: Bit-coin; ARIMA; Machine learning; Crypto Currency; Price Prediction.