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8+ anni
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Faccio trading da quindici anni con un'enfasi sulla ricerca dei modelli matematici del mercato.
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💰 Prodotti presentati:
1) 🏆 Indicatori con filtraggio ottimale del rumore di mercato (per selezionare i punti di apertura e chiusura delle posizioni).
2) 🏆 Indicatori statistici (per determinare il trend globale).
3) 🏆 Indicatori di ricerche di mercato (per chiarire la microstruttura dei prezzi, costruire canali, identificare differenze tra inversioni di tendenza e pullback).
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☛ Maggiori informazioni nel 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.
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
