Kevin Chan1, Shiyi Bai1, Man Jeoi Lau1,2, Fang Lin1,3
1Pittsburgh Institute, Sichuan University, Chengdu, Sichuan, 610065, China
2School of Economics, Sichuan University, Chengdu, Sichuan, 610065, China
3College of Physics, Sichuan University, Chengdu, Sichuan, 610065, China
Quantitative trading is an emerging financial investment strategy that uses computer technology as a carrier to replace traditional human subjective judgment with advanced mathematical models for two financial products with typical characteristics, bitcoin and gold. The trading strategy utilizes multiple factors such as diversification strategy and five-day average manipulation method, combined with analysis of professional indicators in finance, to provide optimal decision guidance. The final result is a total value of $45,123 after five years of investment of $1000.
Quantitative trading; Diversification strategy; Five-day average manipulation method
Kevin Chan, Shiyi Bai, Man Jeoi Lau, Fang Lin. Research on Quantitative Trading Strategy Based on Five-day Average Manipulation Method and Diversification Strategy. Academic Journal of Business & Management (2022) Vol. 4, Issue 5: 89-92. https://doi.org/10.25236/AJBM.2022.040518.
 Zhang Siyu. Taking Bitcoin as an example to explore virtual currency investment [J]. Modern Business, 2022(03):101-103.
 Liu Pengyun. Improved reinforcement learning algorithm and its application in quantitative trading [D]. Northeast Petroleum University, 2021.
 Guo Sihan. Research on Bitcoin Price Prediction and Trading Strategy Based on Improved Recurrent Neural Network [D]. Shanghai Normal University, 2021.
 Wei Bingqi. Research on stock trend prediction method based on multi-technical indicators and shape trajectory quantification [D]. Northwestern University, 2017.
 Jeremy. The Future of Investors, Collector's Edition [M]. Beijing: Machinery Industry Press. 2018.