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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | A Deep Learning-Based Cryptocurrency Price Prediction Model |
| Authors Name: | Achintya Mishra , Satyam Pandey , Dr. M.L Sworna Kokila |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186035
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| Published Paper Id: | IJRTI2304238 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | : The fundamental decentralisation and transparency of cryptocurrencies has lately piqued the interest of investors. Taking into account the unpredictability and novel attributes of cryptocurrencies, precise value expectation is basic for creating proficient exchanging systems. To do this, the creators of this study propose a state of the art system for guaging the cost of Bitcoin (BTC), a famous cryptocurrency. The change point detection method is utilised to provide consistent prediction performance in unseen price ranges. Time-series data are specifically separated so that normalisation may be performed independently depending on segmentation. On-chain data is also collected and utilised as an input variable in price forecasting. On-chain data refers to the separate records that are inherent in cryptocurrencies and are stored on the blockchain. In addition, this article suggests employing SAM-LSTM as the expectation model, which includes the consideration component and a few LSTM modules for on-chain variable gatherings. SAM-LSTM is an abbreviation that represents self-consideration based numerous long short-term memory. Tests using true BTC cost information and different methodology boundaries affirmed the utility of the proposed structure in anticipating BTC values. Individually, the MAE, RMSE, MSE, and MAPE values that were the highest were 0.3462, 0.5035, 0.2536, and 1.3251. The findings are encouraging. |
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| Cite Article: | "A Deep Learning-Based Cryptocurrency Price Prediction Model ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1451 - 1457, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304238.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2304238
Registration ID:186035
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1451 - 1457 Country: Raipur, Chhattisgarh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304238 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304238 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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