American Psychological Association 6th edition

Guo, J., Peng, J., Yuan, H., & Ni, L. M.- shuan. (2023). HXPY: A High-Performance Data Processing Package for Financial Time-Series Data. Journal of Computer Science & Technology (10009000), 38(1), 3-24. https://doi.org/10.1007/s11390-023-2879-5

ISO-690 (author-date, English)

GUO, Jiadong, PENG, Jingshu, YUAN, Hang und NI, Lionel Ming-shuan, 2023. HXPY: A High-Performance Data Processing Package for Financial Time-Series Data. Journal of Computer Science & Technology (10009000). 1 Februar 2023. Vol. 38, no. 1, p. 3-24. DOI 10.1007/s11390-023-2879-5.

Modern Language Association 9th edition

Guo, J., J. Peng, H. Yuan, und L. M.- shuan Ni. „HXPY: A High-Performance Data Processing Package for Financial Time-Series Data.“. Journal of Computer Science & Technology (10009000), Bd. 38, Nr. 1, Februar 2023, S. 3-24, https://doi.org/10.1007/s11390-023-2879-5.

Mohr Siebeck - Recht (Deutsch - Österreich)

Guo, Jiadong/Peng, Jingshu/Yuan, Hang/Ni, Lionel Ming-shuan: HXPY: A High-Performance Data Processing Package for Financial Time-Series Data., Journal of Computer Science & Technology (10009000) 2023, 3-24.

Emerald - Harvard

Guo, J., Peng, J., Yuan, H. und Ni, L.M.- shuan. (2023), „HXPY: A High-Performance Data Processing Package for Financial Time-Series Data.“, Journal of Computer Science & Technology (10009000), Vol. 38 No. 1, S. 3-24.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.