Empirical Research on Futures Trading Strategy Based on Time Series Algorithm.
Shi Yao|Hongfei Yan|Ying Siping|Chong Chen|Qi Su
| Anthology ID: | DBLP:conf/ccir/YaoHSCQ20 |
|---|---|
| Volume: | Information Retrieval - 26th China Conference, CCIR 2020, Xi'an, China, August 14-16, 2020, Proceedings |
| Year: | 2020 |
| Venue: | China Conference on Information Retrieval (CCIR) |
| Publisher: | Springer |
| Pages: | 111-123 |
| URL: | https://doi.org/10.1007/978-3-030-56725-5_9 |
| DOI: | https://doi.org/10.1007/978-3-030-56725-5_9 |
| DBLP: | conf/ccir/YaoHSCQ20 |
| BibTeX: |
@inproceedings{yao-2020-empirical,
author = {Shi Yao and
Hongfei Yan and
Ying Siping and
Chong Chen and
Qi Su},
editor = {Zhicheng Dou and
Qiguang Miao and
Wei Lu and
Jiaxin Mao and
Guang Jia},
title = {{Empirical Research on Futures Trading Strategy Based on Time Series Algorithm}},
booktitle = {{Information Retrieval - 26th China Conference, CCIR 2020, Xi'an, China, August 14-16, 2020, Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {12285},
pages = {111--123},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-56725-5_9},
doi = {https://doi.org/10.1007/978-3-030-56725-5_9}
}