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👑 Physicien théoricien, programmeur.
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
Je négocie depuis quinze ans en mettant l'accent sur la recherche de modèles mathématiques du marché.
----------------------------------------------------------------------------------------------------------------------------------
💰 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
Aleksey Ivanov
Introdução. O indicador prevê o preço de acordo com a tendência prevalecente e as suas próprias pequenas flutuações estatísticas de preço...
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170
1
Aleksey Ivanov
はじめに StatPredictインディケータは、一般的なトレンドのトレンドとこのトレンドの周りのそれ自身の小さな統計的な価格変動に従って価格を予測します。 StatPredictでは、予測の期間を設定する必要があります。予測期間は、インジケーター設定の「バーの予測の長さ」パラメーターで設定されます...
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320
1
Aleksey Ivanov
Produits publiés
Introduction. The indicator predicts the price in accordance with the prevailing trend and its own small statistical price fluctuations around this trend. At the same time, in StatPredict , you need to set the time horizon of the forecasted events, which is set by the parameter settings of the “ Length of forecast in bars ” indicator and determined by the characteristic time scale of the current trend, which is
· 1
Aleksey Ivanov
StatChannel https://www.mql5.com/en/market/product/37619
The StatChannel indicator is constructed in the same way as a classic Bollinger Bands indicator, but only on the basis of the non-lagging moving average. Such a curve is calculated at points (Inf, n + 1], as a moving average at the segment (Inf, 0], where 0 is the number of the last bar, shifted back by n bars, and at the points of the segment [n, 0] it is estimated. The estimate is a curvilinear sector (sweeping confidence interval) in which the line of the non-lagging moving average is laid with a given confidence level. The non-lagging average is also surrounded by non-lagging std, which is determined at points at points (Inf, n + 1) in the same way as the non-lagging moving average, and at points of the segment [n, 0] - by a special algorithm that calculates the set of values std, that will be within the specified value of the confidence interval.
The StatChannel indicator is constructed in the same way as a classic Bollinger Bands indicator, but only on the basis of the non-lagging moving average. Such a curve is calculated at points (Inf, n + 1], as a moving average at the segment (Inf, 0], where 0 is the number of the last bar, shifted back by n bars, and at the points of the segment [n, 0] it is estimated. The estimate is a curvilinear sector (sweeping confidence interval) in which the line of the non-lagging moving average is laid with a given confidence level. The non-lagging average is also surrounded by non-lagging std, which is determined at points at points (Inf, n + 1) in the same way as the non-lagging moving average, and at points of the segment [n, 0] - by a special algorithm that calculates the set of values std, that will be within the specified value of the confidence interval.
· 1
Aleksey Ivanov
Aleksey Ivanov
ProfitMACD is very similar to classic MACD in appearance and its functions. However, ProfitMACD is based on completely new algorithms (for example, it has only one averaging period) and is more robust, especially on small timeframes, since it filters random price walks...
1
Aleksey Ivanov
Strong Trend Flat Signal (new version 2.0) https://www.mql5.com/en/market/product/37203
Added global shift to start calculating indicator readings (for visual estimation of the accuracy of its work).
Added global shift to start calculating indicator readings (for visual estimation of the accuracy of its work).
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Aleksey Ivanov
In the new version of the sensitivity signal 3.0 https://www.mql5.com/en/market/product/34171
(1) Added push and mail alert types.
(2) The number of signal identification methods have been introduced.
(1) Added push and mail alert types.
(2) The number of signal identification methods have been introduced.
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Aleksey Ivanov
The new version Cunning crocodile (2.2) https://www.mql5.com/en/market/product/32028 Added push and mail alert types.
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Aleksey Ivanov
The new version Identify Trend (1.1) Added push and mail alert types.
https://www.mql5.com/en/market/product/36336
https://www.mql5.com/en/market/product/36336
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Aleksey Ivanov
Estimation moving average without lag (new version 2.0) https://www.mql5.com/en/market/product/36945
The Estimation moving average without lag (EMAWL) indicator calculates the non-lagging moving average, which is calculated at the points (Inf, n + 1) in the usual way, and at the points of the [n, 0] segment, where 0 is the last bar number, is algorithmically and there is a curvilinear sector (cover out the confidence interval) in which the line of the non-lagging moving average fits with the confidence level specified in the indicator settings. It is clear that the more the confidence probability value is taken (which by default is equal to 0.67), the wider the curvilinear sector of the confidence interval is obtained. If we take the confidence probability equal to zero, then the sector of the indicator readings at points [n, 0] will shrink to a curve, which will pass through the most probable values of the non-lagging average. Statistical studies show that the price around the non-remaining average is distributed according to the Laplace law. Knowledge of the distribution law and the algorithm for calculating the most likely non-lagging average on the [n, 0] segment allow us to calculate the confidence interval sector.
The Estimation moving average without lag (EMAWL) indicator calculates the non-lagging moving average, which is calculated at the points (Inf, n + 1) in the usual way, and at the points of the [n, 0] segment, where 0 is the last bar number, is algorithmically and there is a curvilinear sector (cover out the confidence interval) in which the line of the non-lagging moving average fits with the confidence level specified in the indicator settings. It is clear that the more the confidence probability value is taken (which by default is equal to 0.67), the wider the curvilinear sector of the confidence interval is obtained. If we take the confidence probability equal to zero, then the sector of the indicator readings at points [n, 0] will shrink to a curve, which will pass through the most probable values of the non-lagging average. Statistical studies show that the price around the non-remaining average is distributed according to the Laplace law. Knowledge of the distribution law and the algorithm for calculating the most likely non-lagging average on the [n, 0] segment allow us to calculate the confidence interval sector.
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Aleksey Ivanov
Profit MACD (new version V 2.2) https://www.mql5.com/en/market/product/35659
I present an indicator for professionals. ProfitMACD is very similar to classic MACD in appearance and its functions. However, ProfitMACD is based on completely new algorithms (for example, it has only one averaging period) and is more robust, especially on small timeframes, since it filters random price walks.
I present an indicator for professionals. ProfitMACD is very similar to classic MACD in appearance and its functions. However, ProfitMACD is based on completely new algorithms (for example, it has only one averaging period) and is more robust, especially on small timeframes, since it filters random price walks.
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Aleksey Ivanov
StatChannel https://www.mql5.com/en/market/product/37619
The StatChannel indicator builds the distribution patterns of the current channels, into which all price fluctuations fit in heap and evenly. The figure of the middle line gives directly those values for the current price that fit into the given (in the settings) confidence level. The figures of the upper and lower lines describe the allowable variations in price fluctuations at the top and bottom, respectively.
The StatChannel indicator builds the distribution patterns of the current channels, into which all price fluctuations fit in heap and evenly. The figure of the middle line gives directly those values for the current price that fit into the given (in the settings) confidence level. The figures of the upper and lower lines describe the allowable variations in price fluctuations at the top and bottom, respectively.
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Aleksey Ivanov
The principle of the indicator. The StatChannel indicator is very effective for trading the development of the famous Bollinger Bands indicator...
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257
Aleksey Ivanov
Принцип работы индикатора . Индикатор StatChannel ( SC ) является очень эффективным для торговли развитием известного индикатора Bollinger Bands ( ВВ...
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146
Aleksey Ivanov
Produits publiés
The principle of the indicator. The StatChannel ( SC ) indicator is a development of the Bollinger Bands indicator ( ВВ ). BB is a moving average, on both sides of which two lines are drawn, separated from it by standard deviations std multiplied by the corresponding coefficient. At the same time, a moving average with an averaging period (2n + 1) bars is always obtained lagging behind n bars. Sliding std
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Aleksey Ivanov
Принцип работы индикатора. Индикатор Strong Trend Flat Signal (STFS) представляет собой пересечения двух, разработанных автором, неотстающих скользящих средних с периодами усреднения 21 и 63...
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161
Aleksey Ivanov
The principle of the indicator. The Strong Trend Flat Signal (STFS) indicator is the intersection of two, developed by the author, non-lagging moving averages with averaging periods 21 and 63...
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456
Aleksey Ivanov
Produits publiés
The principle of the indicator. The Strong Trend Flat Signal (STFS) indicator is the intersection of two, developed by the author, non-lagging moving averages with averaging periods 21 and 63. A simple moving average (SMA) with an averaging period (2n + 1) of bars is always obtained lagging by n bars. If SMA or other types of moving
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