A Data Science Pipeline for Algorithmic Trading: A Comparative Study of Applications for Finance and Cryptoeconomics
Publication
, Preprint
Zhang, L; Wu, T; Lahrichi, S; Salas-Flores, C-G; Li, J
June 29, 2022
Duke Scholars
Publication Date
June 29, 2022
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Zhang, L., Wu, T., Lahrichi, S., Salas-Flores, C.-G., & Li, J. (2022). A Data Science Pipeline for Algorithmic Trading: A Comparative Study of
Applications for Finance and Cryptoeconomics.
Zhang, Luyao, Tianyu Wu, Saad Lahrichi, Carlos-Gustavo Salas-Flores, and Jiayi Li. “A Data Science Pipeline for Algorithmic Trading: A Comparative Study of
Applications for Finance and Cryptoeconomics,” June 29, 2022.
Zhang L, Wu T, Lahrichi S, Salas-Flores C-G, Li J. A Data Science Pipeline for Algorithmic Trading: A Comparative Study of
Applications for Finance and Cryptoeconomics. 2022.
Zhang, Luyao, et al. A Data Science Pipeline for Algorithmic Trading: A Comparative Study of
Applications for Finance and Cryptoeconomics. 29 June 2022.
Zhang L, Wu T, Lahrichi S, Salas-Flores C-G, Li J. A Data Science Pipeline for Algorithmic Trading: A Comparative Study of
Applications for Finance and Cryptoeconomics. 2022.
Publication Date
June 29, 2022