{"product_id":"v20726zerdat","title":"V. 20:7 (26-31): Zero-Lag Data Smoothers by John F. Ehlers","description":"Zero-Lag Data Smoothers by John Ehlers\u003cbr\u003e\u003cbr\u003eHeres a technique that can reduce lag to nearly zero.\u003cbr\u003e\u003cbr\u003eA causal filter can never predict the future.\nAs a matter of fact, the laws of nature\ndemand that all filters must have lag.\nHowever, if we assume steady-state\nconditions that is, no new, disturbing events there are techniques we can use to reduce\nthe lag of these filters to nearly zero. It turns out that\nsuch filters are useful for technical analysts with\nwhich to smooth data, and perhaps create some fast-\nacting indicators. This is possible because the steadystate\nassumptions are almost, but not quite, satisfied\nin the short run. These techniques are not applicable\nto longer moving averages, because steady-state\nconditions do not continue over a long time span.\nThere are superior techniques for creating longerterm\naverages, such as nonlinear filters or by\nremoving undesirable cycling components from a\ncomposite price waveform.","brand":"store-traders-com","offers":[{"title":"Default Title","offer_id":52134178816369,"sku":"\\V20\\C07\\134ZERO.PDF","price":3.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0900\/3843\/6209\/files\/unnamed_e269afd7-3551-4f74-8af6-71d65b95c34b.jpg?v=1739670428","url":"https:\/\/shop.traders.com\/products\/v20726zerdat","provider":"Stocks \u0026 Commodities","version":"1.0","type":"link"}