Proceedings of the 2020 2nd International Conference on Economic Management and Cultural Industry (ICEMCI 2020)

Prediction and Tracking Test of the Top of Shanghai Stock Index

Authors
Guo-ping Li, Jin-tao Gu
Corresponding Author
Guo-ping Li
Available Online 30 November 2020.
DOI
10.2991/aebmr.k.201128.064How to use a DOI?
Keywords
Shanghai stock index, Forecast, Top, Test
Abstract

Mr. Zhou Jintao has predicted that the Shanghai Composite Index will have a historical bottom in 2019 and 2030, and a historical top in 2035. As for when the top of the bull market between 2019 and 2030 will come, Mr. Zhou left no prediction, for reasons unknown. However, people can still deduce from Mr. Zhang’s three time nodes where the top of the bull market is. Whether it is to test Zhou Jintao’s prediction, or for the majority of securities investors, it is interesting and meaningful to predict and track the top of the bull market between 2019 and 2030 in Shanghai stock index. From the technical analysis point of view, according to the cycle theory, this paper deduces the coming time of Shanghai stock index’s future top, and according to the technical characteristics of the top of the stock bull market, puts forward the method of tracking and testing the prediction results, which provides a reference for investment analysis.

Copyright
© 2020, 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 2020 2nd International Conference on Economic Management and Cultural Industry (ICEMCI 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
30 November 2020
ISBN
10.2991/aebmr.k.201128.064
ISSN
2352-5428
DOI
10.2991/aebmr.k.201128.064How to use a DOI?
Copyright
© 2020, 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  - Guo-ping Li
AU  - Jin-tao Gu
PY  - 2020
DA  - 2020/11/30
TI  - Prediction and Tracking Test of the Top of Shanghai Stock Index
BT  - Proceedings of the 2020 2nd International Conference on Economic Management and Cultural Industry (ICEMCI 2020)
PB  - Atlantis Press
SP  - 331
EP  - 334
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201128.064
DO  - 10.2991/aebmr.k.201128.064
ID  - Li2020
ER  -