Research On Fund Investment Strategy Based On Trading Signal Of MA Deviation

Investing in funds is one of the most common investment methods at present.However,due to lack of investment knowledge and experience,the results of investing in funds for ordinary individual investors are not ideal.Intelligent periodic investment(IPI)has significant advantages in terms of increasing returns and controlling risks compared to regular periodic investment.Major fund companies and third-party sales platforms in China have launched their own IPI tools,which have brought investment experience improvement to a large number of investors.However,there are also problems such as unclear IPI strategy details,fixed selectable parameters,and tools that cannot cover all funds.To further optimize IPI strategies,this article selects the moving average strategy that is relatively easy to understand and can be conveniently transplanted to all fund periodic investments,and conducts research on the fund periodic investment strategy based on moving average deviation trading signals.By constructing a periodic investment strategy based on the deviation trading signal of the fund’s own adjusted net asset value moving average,which is different from the current market strategies,and using quantitative backtesting techniques,the performance of different moving average reference strategies and different strategy parameters in history are compared to construct a "best" parameter combination based on research results.Further optimization of the fund periodic investment strategy based on moving average deviation signals is proposed,and backtesting is carried out one by one.Finally,it is proved that the periodic investment strategy based on the deviation trading signal of the fund’s own adjusted net asset value moving average and its optimization strategy constructed in this article have strong practical guidance value,and the following research results are obtained:The periodic investment strategy based on the deviation trading signals of a fund’s own adjusted net asset value moving average can describe the situation where the corresponding fund exceeds the fluctuation range of the index,better leveraging the intelligent investment function,and is superior to using the index moving average.The deviation signal of the CSI 500 ETF moving average can be used as a reference signal for low volatility fund periodic investment.Reasonable selection of strategy parameters can further avoid buying funds with large increases in net asset value.In backtesting,the performance of the large window moving average is better than that of the small window moving average.The parameter combination of "moving average window 500,deviation coefficient 0.03,and periodic investment adjustment coefficient 1" is the "best" parameter combination for the strategy in this article.This combination has more potential profit advantages than the parameter combination that has already shown some profit advantages in the study.Moreover,the backtesting results of this combination outside the sample period further confirm its superior potential profit ability.The backtesting results from January 2021 to March 2023 show that this parameter combination has significant excess profit advantage,indicating that it has high practical value.The study also found that comparing the deviation of the current moving average with a certain historical rolling extreme value can further optimize the performance of the strategy.As a recognized investor-friendly strategy,the practical value of fund periodic investment will continue to increase with the continuous popularization of related knowledge.Through research on periodic investment strategies,this article explores the value of periodic investment strategies and contributes to China’s inclusive finance.