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EMBRACE YOUR INNER PARASITE

机译:拥抱您的内部玄武岩

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Most traders say that they have a knack for identifying patterns in market signals. It doesn't matter whether they look for those signals in price, volume, volatility, spreads or any other aspect of a market; traders have an internalized pattern recognition system that they say gives them a persistent edge. Most of them are wrong. Any trading strategy based on naive induction is certain to have zero edge. Naive induction refers to selecting a strategy based solely on the econometric fit of a time series data matrix to some market outcome like price change. It's a trading strategy that works because it works. There's no "why?" answered here, and as a result, the strategy is certain to be derivative, non-robust and arbitraged away. Whatever purely inductive trading strategy you think gives you an edge is already being used by thousands of non-human intelligences - powerful inference machines that fall under the rubric of Big Data - and they're using the strategy far more effectively. To the degree a naive induction strategy works at all, you're just tagging along behind the non-human intelligences, picking up their crumbs.
机译:大多数交易员说,他们有识别市场信号形态的诀窍。他们是否在价格,数量,波动性,价差或市场的任何其他方面寻找这些信号都没有关系;交易员拥有一个内部化的模式识别系统,他们说这给了他们持久的优势。他们大多数是错误的。任何基于幼稚归纳法的交易策略都肯定具有零边缘。天真的归纳是指仅基于时间序列数据矩阵对某些市场结果(如价格变化)的计量经济拟合来选择策略。这是一种行之有效的交易策略,因为行之有效。没有“为什么?”在这里回答,结果是该策略肯定是派生的,不鲁棒的并且套利了。无论您认为能给您带来什么优势的任何纯粹归纳交易策略,都已经被成千上万的非人类智能所使用-属于大数据范畴的强大推理机-并且它们正在更有效地使用该策略。在某种程度上说,幼稚的归纳策略完全可以奏效,您只是跟在非人类智能的背后,捡起他们的面包屑。

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  • 来源
    《Futures 》 |2015年第513期| 82-82| 共1页
  • 作者

    W. Ben Hunt;

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