Aleksey Ivanov / Profil
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8+ années
expérience
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32
produits
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146
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0
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Je négocie depuis quinze ans en mettant l'accent sur la recherche de modèles mathématiques du marché.
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💰 Produits présentés:
1) 🏆 Indicateurs avec filtrage optimal du bruit de marché (pour sélectionner les points d'ouverture et de clôture des positions).
2) 🏆 Indicateurs statistiques (pour déterminer la tendance mondiale).
3) 🏆 Indicateurs d'études de marché (pour clarifier la microstructure des prix, construire des canaux, identifier les différences entre les inversions de tendance et les reculs).
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☛ Plus d'informations sur le blog https://www.mql5.com/en/blogs/post/741637
https://www.mql5.com/en/market/product/34818
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean X line is calculated using various averaging algorithms. Secondly, the mean deviations calculated by Kolmogorov averaging are plotted on both sides of the middle line .
The middle line , besides the standard SMA, EMA, SMMA and LWMA averaging algorithms, can be Median = (Max + Min) / 2 sliding median (which is the default). In addition, for the calculation of , the moving averaging algorithms XF (fast) and XS (slow) are used, which are developed by the author. These algorithms specifically filter out the harmful noise that is largely present in the highly volatile currency market. The filtering algorithm XF allows you to quickly identify the beginning of the trend. And the filtering algorithm XS allows you to better define the transition to flat. And, finally, CB allows you to build a weighted by the volume averaging of the price XV.
The Channel Builder (CB) or Ivanov Bands indicator is a broad generalization of the Bollinger Bands indicator. First, in CB, the mean line <X> is calculated using various averaging algorithms. Secondly, the mean deviations calculated by Kolmogorov averaging are plotted on both sides of the middle line <X>. The middle line
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise.
PDP indicator is used for:
1.defining price probability distributions. This allows for a detailed representation of the channel and its borders and forecast the probability of a price appearing at each segment of its fluctuations;
2.defining the channel change moment.
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise.
PDP indicator is used for:
1.defining price probability distributions. This allows for a detailed representation of the channel and its borders and forecast the probability of a price appearing at each segment of its fluctuations;
2.defining the channel change moment.
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise.
The Sensitive Signal (SS) indicator, using the filtering methods developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange, where signals are highly distorted by random noise. The filtration developed by the author is carried out in several iterations and reveals the true trajectory of the regular price movement (more precisely, the most likely curve of such movement) and draws it.
The Sensitive Signal ( SS ) indicator, using the filtering methods (which includes cluster multicurrency analysis) developed by the author, allows, with a high degree of probability, to establish the beginning of the true (filtered from interference - random price walks) trend movement. It is clear that such an indicator is very effective for trading on the currency exchange , where signals are highly
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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