Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)

Trend Expert System Empirical Analysis on Gold Plate

Authors
Pin Wang
Corresponding Author
Pin Wang
Available Online December 2019.
DOI
10.2991/ssmi-19.2019.84How to use a DOI?
Keywords
Sino-US Trade Tension; Trend Expert System; Empirical Analysis; Gold plate.
Abstract

Based on the data of the gold plate published by China's securities market from January 26, 2018 to August 7, 2019, took the winning rate, annual return rate and net profit rate as the management targets, and use MA expert to test the above data. The results have shown that for the gold sector, the MA expert system only recorded positive returns during the second period, in which the net profit margin is 1.02%, and the winning rate is 40.00%. It has shown that the MA expert system has high risks and low returns. It is obviously not a good choice to guide the gold plate investment by using the MA expert system.

Copyright
© 2019, 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 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2019
ISBN
978-94-6252-855-0
ISSN
2352-5398
DOI
10.2991/ssmi-19.2019.84How to use a DOI?
Copyright
© 2019, 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  - Pin Wang
PY  - 2019/12
DA  - 2019/12
TI  - Trend Expert System Empirical Analysis on Gold Plate
BT  - Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
PB  - Atlantis Press
SP  - 347
EP  - 351
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssmi-19.2019.84
DO  - 10.2991/ssmi-19.2019.84
ID  - Wang2019/12
ER  -