Abstract
Quantitative investment trading is becoming more and more popular
due to the gradual integration of computer technology, mathematics, and
statistics. It is of great practical significance to develop a multi-species
portfolio investment model that takes into account various transaction costs
and conforms to live trading. In this paper, we use the free software R to
program the Bollinger Bands trading strategy and test it on the historical data
of the Chinese futures market. Through in-sample optimization, out-of-sample
testing and correlation test, the varieties with good back testing effect are
selected for risky investment portfolio to provide investors involved in the
Chinese futures market with specific trading strategies that can be used for
reference, and at the same time to provide investors with a way of thinking to
develop quantitative investment portfolio models.
JEL classification numbers: C60.
Keywords:
Quantitative investment, R language, Chinese
futures market, Bollinger Bands.