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Academic Journal of Business & Management, 2022, 4(9); doi: 10.25236/AJBM.2022.040916.

Trading strategy based on investment diversification technical analysis model

Author(s)

Chenhao Sun1, Xue Lan2

Corresponding Author:
Chenhao Sun
Affiliation(s)

1Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, Hubei, 430074, China

2School of Mathematical Sciences, South China Nomal University, Guangzhou, Guangdong, 510630, China

Abstract

This paper takes gold and bitcoin as research objects and develops a model for traders. In this period, we established a multivariate quantitative technical analysis model of investment, selected 6 technical indicators with low correlation MA, MACD, BOLL, RSI, KDJ and Stoch RSI as evaluation indicators of trading intentions, and used the fuzzy evaluation model to combine the trading intentions of the 6 indicators to obtain the final daily trading intentions score. Combined with the trading intention score and risk tolerance coefficient of the day to adjust the asset allocation, the investment trading model proposed in this paper can provide support for relevant practitioners and has practical application significance.

Keywords

Investment Multivariate Quantitative Technical Analysis Model, Fuzzy Evaluation Model, Asset Allocation

Cite This Paper

Chenhao Sun, Xue Lan. Trading strategy based on investment diversification technical analysis model. Academic Journal of Business & Management (2022) Vol. 4, Issue 9: 108-116. https://doi.org/10.25236/AJBM.2022.040916.

References

[1] Wang Xiaoyan, Li America. Introduction to rank correlation coefficient and Spearman rank correlation coefficient [J]. Journal of Guangdong Light Industry Vocational Technology College, 2006 (04): 26-27.

[2] JIN Ju-Liang, WEI Y-Ming, DING Jing. A fuzzy comprehensive evaluation model based on improved hierarchical analysis method [J]. Journal of Water Resources, 2004(03): 65-70.

[3] Ronald Coase. The nature of enterprise, 1937.

[4] Bai Xiaoyun. Research on multivariate quantitative technical analysis model of stock investment [D]. Beijing: University of International Business and Economics, 2012.

[5] Fan Rong, Meng Dazhi, Xu Dashun. Research progress of statistical correlation analysis methods[J]. Mathematical Modeling and its Applications, 2014, 3(01): 1-12.