Aleksey Ivanov / Perfil
- Informações
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8+ anos
experiência
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32
produtos
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146
versão demo
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0
trabalhos
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0
sinais
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💰 Produtos apresentados:
1) 🏆 Indicadores com ótima filtragem de ruídos de mercado (para escolha de pontos de abertura e fechamento de posições).
2) 🏆 Indicadores estatísticos (para determinar a tendência global).
3) 🏆 Indicadores de pesquisa de mercado (para esclarecer a microestrutura de preços, construir canais, identificar diferenças entre reversões e retrações de tendências).
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☛ Mais informações no blog https://www.mql5.com/en/blogs/post/741637
Principles of construction of the indicator. The Absolute Bands (AB) indicator is reminiscent of the Bollinger Bands indicator with its appearance and functions, but only more effective for trading due to the significantly smaller number of false signals issued to them. This effectiveness of the Absolute Bands indicator is due to its robust nature
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Signal Bands is a sensitive and convenient indicator, which performs deep statistical processing of information. It allows to see on one chart (1) the price trend, (2) the clear price channel and (3) latent signs of trend change. The indicator can be used on charts of any periods, but it is especially useful for scalping due to its high sensitivity to the current market state.
The Bollinger Bands without lag (BBWL) indicator is a very effective (for manual and automatic trading) development of the famous Bollinger Bands indicator (BB). The BBWL indicator is constructed in the same way as a classic BB, but only on the basis of the non-lagging moving average.
A estrutura do indicador. O indicador de Cunning crocodile (crocodilo manhoso) consiste em três médias móveis (aplicado ao preço Median price = (high + low)/2 ) : 1) o MA ( SMA , EMA , SMMA , LWMA ) usual ou o < X > processo X médio e suas duas generalizações 2) <XF> = <X / <X >> * <X> e 3) <XS> = <X * <X >> / <X> tomando o mesmo
Iterative Moving Average – IMA. IMA is obtained by correcting the usual MA. The correction consists in addition to MA averaged difference between the time series (X) and its MA, i.e. IMA(X)=MA(X) + MA ( Х -MA(X)). Correction is done in several iterations (and, exactly, 2 iterations in this indicator) and with a change in the averaging period


