Download PDF by Prodromos E. Tsinaslanidis, Achilleas D. Zapranis: Technical Analysis for Algorithmic Pattern Recognition

By Prodromos E. Tsinaslanidis, Achilleas D. Zapranis

ISBN-10: 3319236350

ISBN-13: 9783319236353

ISBN-10: 3319236369

ISBN-13: 9783319236360

The major objective of this publication is to unravel deficiencies and boundaries that presently exist while utilizing Technical research (TA). really, TA is getting used both via lecturers as an “economic attempt” of the weak-form effective marketplace speculation (EMH) or through practitioners as a first-rate or supplementary instrument for deriving buying and selling signs. This ebook methods TA in a scientific approach using all of the on hand estimation conception and exams. this is often accomplished in the course of the constructing of novel rule-based trend recognizers, and the implementation of statistical exams for assessing the significance of discovered returns. extra emphasis is given to technical styles the place subjectivity of their identity technique is clear. Our proposed technique is predicated at the algorithmic and hence impartial trend popularity. The unified methodological framework provided during this booklet can function a benchmark for either destiny educational reviews that try the null speculation of the weak-form EMH and for practitioners that are looking to embed TA inside their trading/investment choice making approaches. ​

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The following statement locates TA somewhere between art and science: It has been said that chart interpretation is not a science, but an art. It is not an exact science, to be sure, because it has no rules to which there are not exceptions. Its finer points defy expression in rule or precept. It requires judgment in appraisal of many factors, some of which may seem, at times, to conflict radically with others. But to call it an art, which implies the need for genius, or at least for a high degree of native talent, is certainly improper.

Bibliography provides numerous types of cognitive biases which affect the manner investors act (Chincarini and Kim 2006; Haugen 1999; Shleifer 2000). In this section we are presenting only a selection of the biases mentioned in the bibliography. Behavioral finance can be used not only for purposes of providing explanations on the existence of market inefficiencies but also to answer the following question: If TA has no predictive power in a market, then why investors keep using it within their trading decisions?

In addition he asserted: “We are predisposed to see order, pattern, and meaning in the world; we find randomness, chaos, and meaninglessness unsatisfying. Human nature abhors a lack of predictability and the absence of meaning”. The above statements may, at least partially, explain the general acceptance of technical patterns by many practitioners without even considering the efficacy of such patterns at all. In a bundle of surveys, it is being reported that humans tend to be overconfident. Overconfidence implies that the majority of investors, thinks that is superior to the average investor, which is of course an irrational assertion.

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Technical Analysis for Algorithmic Pattern Recognition by Prodromos E. Tsinaslanidis, Achilleas D. Zapranis


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