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6+ años
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32
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💰 Productos presentados:
1) 🏆 Indicadores con filtrado óptimo de ruidos de mercado (para elegir puntos de apertura y cierre de posiciones).
2) 🏆 Indicadores estadísticos (para determinar la tendencia global).
3) 🏆 Indicadores de investigación de mercado (para aclarar la microestructura de precios, construir canales, identificar diferencias entre reversiones de tendencias globales y reversiones locales).
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☛ Más información en el blog https://www.mql5.com/en/blogs/post/741637
El indicador, que utiliza los métodos de filtrado desarrollados por el autor, permite, con un alto grado de probabilidad, establecer el comienzo del movimiento de tendencia verdadero. La filtración desarrollada por el autor se realiza en varias iteraciones y revela la verdadera trayectoria del movimiento de precios regular y lo dibuja. Al mismo tiempo se filtran caminatas al azar del precio. Dicho filtrado es
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.
Structure of the indicator. The Cunning crocodile indicator consists of three moving averages (applied to the price Median price = (high + low)/2 ) : 1) the usual MA ( SMA , EMA , SMMA , LWMA ) or the mean <X> of the process X and her two generalizations 2) <XF> = <X / <X >> * <X> and 3) <XS> = <X * <X >> / <X> with the same
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
