Home ›
Entities
› academia
› On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms
On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms
Research article (AIMS Mathematics, 2022) · cited 15× · AI/ML
On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms
Summary
On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms is a scholarly article[1].
Key Facts
On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-fitting-and-forecasting-the-log-returns-of-cryptocurrency-exchange-rates-using-a-new-logistic-model-and-machine-learn
MLA“On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-fitting-and-forecasting-the-log-returns-of-cryptocurrency-exchange-rates-using-a-new-logistic-model-and-machine-learn.
BibTeX@misc{4ortxyz_on-fitting-and-forecasting-the-log-returns-of-cryptocurrency-exchange-rates-using-a-new-logistic-model-and-machine-learn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/on-fitting-and-forecasting-the-log-returns-of-cryptocurrency-exchange-rates-using-a-new-logistic-model-and-machine-learn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms — https://4ort.xyz/entity/on-fitting-and-forecasting-the-log-returns-of-cryptocurrency-exchange-rates-using-a-new-logistic-model-and-machine-learn (retrieved 2026-05-24)