Machine Learning Algorithm for Cryptocurrencies Price Prediction
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The reliability and accuracy of the data used for training machine learning models can be challenging.
“The reliability and accuracy of the data used for training machine learning models can be challenging.”
From Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues (2025) · cites this paper as Awotunde et al., 2021
Cites
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Blockchain technology: principles and applications
Pilkington, M. (2016) · Research Handbook on Digital Transformations · doi:10.4337/9781784717766.00019 · Cited by 1,627 · see citing works
Samek, W., Wiegand, T., & Müller, K.-R. (2017) · arXiv · doi:10.48550/arxiv.1708.08296 · Cited by 1,080 · see citing works
Stock market's price movement prediction with LSTM neural networks
Nelson, D. M. Q., Pereira, A. C. M., & de Oliveira, R. A. (2017) · 2017 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2017.7966019 · Cited by 951 · see citing works
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Mamoshina, P., Ojomoko, L., Yanovich, Y., Ostrovski, A., Botezatu, A., Prikhodko, P., Izumchenko, E., Aliper, A., Romantsov, K., Zhebrak, A., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.22345 · Cited by 471 · see citing works
AI and Blockchain: A Disruptive Integration
Dinh, T. N., & Thai, M. T. (2018) · Computer · doi:10.1109/mc.2018.3620971 · Cited by 317 · see citing works
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Long short-term memory-based deep recurrent neural networks for target tracking
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Saeed, N., Shafi, I., Pervez, S., Thompson, E. B., Castilla, A. K., Samad, M. A., & Ashraf, I. (2025) · Computational Economics · doi:10.1007/s10614-024-10837-5 · Cited by 8 · see citing works
- Authors
- Awotunde, J. B., Ogundokun, R. O., Jimoh, R. G., Misra, S., & Aro, T. O.
- Affiliations
- University of Ilorin (NG)
- Landmark University (NG)
- Covenant University (NG)
- KolaDaisi University (NG)
- Corresponding author
- Ogundokun, Roseline Oluwaseun
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2021
- Pages
- 421-447
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W3170039229
- Cited by
- 58
- References
- 10
- Citations by year
- 2025: 9 · 2024: 12 · 2023: 12 · 2022: 25
- FWCI
- 34.58
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Studies in computational intelligence (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Keywords
- cryptocurrency price prediction, long short-term memory, technical indicators, Bitcoin, Ethereum, Litecoin, stock price prediction, market trend analysis, trading volume
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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