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.
Channel Builder(CB)またはIvanov Bands指標は、Bollinger Bands指標を広く一般化したものです。これらの一般化は以下の通りです。まず、CBにおいて、平均線<X>が様々な平均化アルゴリズムを用いて計算される。次に、CBでは、平均偏差の計算に異なるコルモゴロフ平均化が使用されます。
標準のSMA、EMA、SMMA、およびLWMAの平均化アルゴリズムに加えて、中央の線は、中央値=(最大+最小)/ 2スライディング中央値(既定値)になります。さらに、著者が開発した特別な(高速)および(低速)のスライディング平均アルゴリズムを使用してを計算します。これらのアルゴリズムは、変動の激しい通貨市場に存在する貿易集約的な大きなノイズをフィルタリングします。つまり、フィルタリングアルゴリズムを使用すると、トレンドの始まりをすばやく判断できます。また、フィルタリングアルゴリズムを使用すると、フラット状態への出力をより適切に決定できます。最後に、CBでは、取引量の重みで移動平均を構築する可能性も含まれます。
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

