Predicting Cryptocurrency Price Change Direction from Supply-Side Factors via Machine Learning Methods

David Mayo, Heba Elgazzar. Predicting Cryptocurrency Price Change Direction from Supply-Side Factors via Machine Learning Methods. In 2022 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, June 6-9, 2022. pages 330-336, IEEE, 2022. [doi]

@inproceedings{MayoE22,
  title = {Predicting Cryptocurrency Price Change Direction from Supply-Side Factors via Machine Learning Methods},
  author = {David Mayo and Heba Elgazzar},
  year = {2022},
  doi = {10.1109/AIIoT54504.2022.9817249},
  url = {https://doi.org/10.1109/AIIoT54504.2022.9817249},
  researchr = {https://researchr.org/publication/MayoE22},
  cites = {0},
  citedby = {0},
  pages = {330-336},
  booktitle = {2022 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, June 6-9, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8453-4},
}