Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)

Analysis of Expert System Investment Technology Based on Banking Sector

Authors
Yun Li, Pin Wang
Corresponding Author
Yun Li
Available Online April 2018.
DOI
10.2991/icaset-18.2018.53How to use a DOI?
Keywords
Banking Sector, RSI Expert System, MA Expert System
Abstract

With the winning ratio, annual return rate and net profit rate as the management goals, the practicality of the RSI and MA expert systems for the banking sector is analyzed. The winning rate of the RSI expert system is 85.19%, 1.47 times that of the MA expert system. The annual return rate and net profit rate of the RSI expert systems are 16.62% and 15.23% respectively, 2.13 times that of the MA expert system. The annual transactions of the RSI expert system are 0.87 times that of the MA expert system. Frequent trading of the MA expert system is the main reason for its cost increase. This results show that the RSI expert system is significantly superior to the MA expert system. Therefore, it is a system that investors can rely on.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
Series
Advances in Engineering Research
Publication Date
April 2018
ISBN
10.2991/icaset-18.2018.53
ISSN
2352-5401
DOI
10.2991/icaset-18.2018.53How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yun Li
AU  - Pin Wang
PY  - 2018/04
DA  - 2018/04
TI  - Analysis of Expert System Investment Technology Based on Banking Sector
BT  - Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
PB  - Atlantis Press
SP  - 266
EP  - 269
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-18.2018.53
DO  - 10.2991/icaset-18.2018.53
ID  - Li2018/04
ER  -