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HXPY: A High-Performance Data Processing Package for Financial Time-Series Data
A tremendous amount of data has been generated by global financial markets everyday, and such time-series data needs to be analyzed in real time to explore its potential value. In recent years, we have witnessed the successful adoption of machine learning models on financial data, where the importan...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064599/ https://www.ncbi.nlm.nih.gov/pubmed/37016601 http://dx.doi.org/10.1007/s11390-023-2879-5 |