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MoneroResearch.info |
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Erg"un, Z. C., & KARABIYIK, B. K. Forecasting Monero Prices with a Machine Learning Algorithm, Eski{\c{s}}ehir Osmangazi {\"U}niversitesi {\.I}ktisadi ve {\.I}dari Bilimler Dergisi, 16(3), 651–663. Added by: Jack (08/01/2023, 14:48) Last edited by: Jack (20/01/2023, 17:38) |
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| Resource type: Journal Article BibTeX citation key: Ergun View all bibliographic details  |
Categories: Monero-focused Creators: Erg"un, KARABIYIK Collection: Eski\c{s}ehir Osmangazi \"Universitesi \.Iktisadi ve \.Idari Bilimler Dergisi |
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Attachments
forecasting monero.pdf  [28/740]
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URLs https://dergipark. ... ticle-file/1751494 |
| Abstract |
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Many researchers have attempted to forecast the values of different cryptocurrencies, but few studies analyzed the Monero price trends. Monero ranks first in terms of privacy features, and its demand is expected to grow in the future. This paper can be classified as the first to use the PATSOS model to forecast Monero prices and trends. According to the findings, the PATSOS model accurately forecasted future Monero prices with a very low error rate. Moreover, investors can withstand market volatility and avoid large losses by using the consistent "buy" and "sell" signals produced by the PATSOS mechanism.
Added by: Jack Last edited by: Jack |