无滞后技术指标在算法交易中的作用

F. Butin
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引用次数: 0

摘要

在算法交易的技术分析框架中,我们对经典技术指标引入了一种新颖的方法。为此,我们将技术指标视为有界运算符:这种更抽象,但也更算法化的观点使我们能够以非常简单的方式定义这些工具的无滞后版本。响应延迟确实是算法交易中使用的许多经典技术指标的一个主要缺点,它经常导致错误的信息。相反,使用我们在这里研究的无滞后版本的指标,我们得到了更接近证券瞬时值的更好的信息,因此,它们发生的交易系统的预期回报率更好。在回顾了加权平均和指数平均作为有界算子的定义之后,我们证明了滞后具有一个基本性质,这对于创建无滞后版本的技术指标非常有用。完成后,我们将我们的结果应用于一个基本的交易系统,并在标准普尔500指数上进行测试,以便将经典的埃尔德冲动系统与其无滞后版本和所谓的奈奎斯特-埃尔德冲动系统进行比较:我们在这个例子中观察到,无滞后版本的指标会导致更有利可图的系统。更确切地说,Nyquist-Elder的脉冲系统比Elder的无滞后脉冲系统要好得多,Elder的脉冲系统本身就比经典脉冲系统好:Nyquist-Elder的脉冲系统给出的信息确实更接近标准普尔500指数的瞬时值,因为它比经典脉冲系统的延迟更小,Nyquist-Elder的脉冲系统甚至是三者中最接近瞬时值的。我们最终比较了四个投资组合(一个复制标准普尔500指数的投资组合,三个脉冲系统各一个)的利润/亏损,以便更好地理解我们三个埃尔德脉冲系统的时间动态。正如我们所看到的,我们还注意到,与使用奈奎斯特-埃尔德脉冲系统的系统相关的投资组合的回撤幅度低于其他系统,而且这个投资组合似乎更能抵御熊市。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE POWER OF NO-LAG TECHNICAL INDICATORS IN ALGORITHMIC TRADING
In the framework of technical analysis for algorithmic trading we introduce an original approach to classical technical indicators. For this, we consider technical indicators as bounded operators: this more abstract, but also more algorithmic view enables us to define in a very simple way the no-lag versions of these tools. Delay in response is indeed a major drawback of many classical technical indicators used in algorithmic trading, which often leads to a wrong information. On the contrary, with the no-lag versions of the indicators that we study here, we get better information that is closer to the instantaneous values of the securities, hence a better expected rate of return of the trading system in which they occur. After having recalled the definitions of weighted and exponential averages as bounded operators, we prove that the lag possesses a fundamental property that is very useful to create no-lag versions of technical indicators. This being done, we apply our results to a basic trading system and test it on the S&P 500 index, in order to compare the classical Elder’s impulse system with its no-lag version and the so-called Nyquist-Elder’s impulse system: we observe on this example that the no-lag versions of indicators lead to much more profitable systems. More precisely, the Nyquist-Elder’s impulse system is much better than the Elder’s impulse system without lag, which is itself better than the classical impulse system: the information given by Nyquist-Elder’s impulse system is indeed closer to the instantaneous value of the S&P 500 index since it has less delay than the classical impulse system: Nyquist-Elder’s impulse system is even the closest to the instantaneous value among the three ones. We eventually compare the profit/loss of four portfolios (a portfolio that replicates S&P 500 index, and one for every of the three impulse systems) in order to better understand the time dynamics of our three Elder’s impulse systems. As far as we can see, we also notice a lower draw-down for the portfolio associated to the system using the Nyquist-Elder’s impulse system than for the other ones, and this portfolio seems to be more resistant to bearish periods.
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