{"product_id":"v134pseudsec","title":"V.17:8 (343-350): Pseudo Securities For Technical Analysts, Part 3 by Charles E. Miller","description":"Pseudo Securities For\nTechnical Analysts\nPart 3\u003cbr\u003e\u003cbr\u003eThe first two parts of this three-part series examined the\ntheory, generation technique, and time series application of\nrectilinear pseudo securities. In this, the conclusion, the same\ntheory is applied to the frequency domain of the market using\nsinusoidal pseudo securities to produce a method for their\nconstruction. Whereas the time domain was used to investigate\nthe linear relationships between market data and time, the\nfrequency domain will enable us to identify and study cyclical,\nnonlinear relationships in security price movement.\u003cbr\u003e\u003cbr\u003eTrendlines are used individually\nto represent the general trend\nof a market and used plurally in\nthe form of channels to define\nprice extremes. However, real\nmarket data seldom is a true\nlinear function of time. Just as\nnature abhors a vacuum, human\nnature seems to abhor instability,\nasymmetry and disorder.\nTherefore, even though\nprice fluctuations tend to resemble a study in Brownian\nmotion without easily discernible symmetry and order, price\nis commonly represented by linear regression, support and\nresistance lines, channels, and other straight-line constructs.\nThese are useful in suggesting future price action for limited\nperiods only, typically because most moves represented as\nstraight lines are actually components of longer, nonlinear\ncyclical moves.","brand":"store-traders-com","offers":[{"title":"Default Title","offer_id":52134105252209,"sku":"\\V17\\C08\\057PSEU.PDF","price":3.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0900\/3843\/6209\/files\/unnamed_d7bfb73b-79d1-4ecb-a3be-7eafdcf73274.jpg?v=1739666851","url":"https:\/\/shop.traders.com\/products\/v134pseudsec","provider":"Stocks \u0026 Commodities","version":"1.0","type":"link"}