Aleksey Ivanov / 프로필
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7+ 년도
경험
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32
제품
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142
데몬 버전
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0
작업
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0
거래 신호
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0
구독자
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👑 이론물리학자, 프로그래머. 저는 15년 동안 시장에서 수학적 패턴을 찾는 데 중점을 두고 거래해 왔습니다.
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💰 제시된 제품
1) 🏆 시장 소음을 최적으로 필터링하는 표시기(오픈 및 클로징 위치 선택용).
2) 🏆 통계 지표(글로벌 추세를 결정하기 위한).
3) 🏆 시장 조사 지표(가격의 미세 구조를 명확히 하고, 채널을 구축하고, 추세 반전과 후퇴 간의 차이점을 식별하기 위해).
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☛ 더 많은 정보는 블로그에서 https://www.mql5.com/en/blogs/post/741637
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💰 제시된 제품
1) 🏆 시장 소음을 최적으로 필터링하는 표시기(오픈 및 클로징 위치 선택용).
2) 🏆 통계 지표(글로벌 추세를 결정하기 위한).
3) 🏆 시장 조사 지표(가격의 미세 구조를 명확히 하고, 채널을 구축하고, 추세 반전과 후퇴 간의 차이점을 식별하기 위해).
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☛ 더 많은 정보는 블로그에서 https://www.mql5.com/en/blogs/post/741637
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Aleksey Ivanov
StatPredict indicator https://www.mql5.com/en/market/product/38721
The indicator predicts the price in accordance with the prevailing trend and its own small statistical price fluctuations around this trend.
The indicator predicts the price in accordance with the prevailing trend and its own small statistical price fluctuations around this trend.
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소셜 네트워크에 공유 · 1
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Aleksey Ivanov
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简介。 该指标根据当前趋势及其自身的小统计价格波动预测价格。在StatPredict中,您需要设置预测事件的时间范围,该事件由指标“条形预测长度” 的设置参数设置。预测的时间范围由当前趋势的特征时间尺度确定,最好通过指标 ProfitMACD 或前一个价格合并时段进行评估,从中可以将四分之一(1/4)作为预测范围。 当安装在“专家”选项卡中的图表上时,将打印有关指示器操作模式的信息。 1...
소셜 네트워크에 공유 · 1
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[삭제]
2019.06.10
interesting idea
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Aleksey Ivanov
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Einleitung. Der Indikator prognostiziert den Preis in Übereinstimmung mit dem vorherrschenden Trend und seinen eigenen kleinen statistischen Preisschwankungen...
소셜 네트워크에 공유 · 1
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Aleksey Ivanov
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Alec Markarian
제품 리뷰 Sensitive Signal
Great indicator to use for confirmation of bias and/or exits, under correct settings and time frame, can be adjusted very well to precisely fit your strategy, in what ever market it is that you trade
소셜 네트워크에 공유 · 1
Aleksey Ivanov
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Introducción. El indicador predice el precio de acuerdo con la tendencia predominante y sus propias pequeñas fluctuaciones estadísticas de precios...
소셜 네트워크에 공유 · 1
203
1
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[삭제]
2019.06.07
interesting idea
Aleksey Ivanov
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Introdução. O indicador prevê o preço de acordo com a tendência prevalecente e as suas próprias pequenas flutuações estatísticas de preço...
소셜 네트워크에 공유 · 1
170
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Aleksey Ivanov
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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...
소셜 네트워크에 공유 · 1
320
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Aleksey Ivanov
출시돈 제품
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
소셜 네트워크에 공유 · 1
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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.
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소셜 네트워크에 공유 · 1
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Aleksey Ivanov
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Aleksey Ivanov
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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
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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소셜 네트워크에 공유 · 1
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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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소셜 네트워크에 공유 · 1
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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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소셜 네트워크에 공유 · 1
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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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소셜 네트워크에 공유 · 1
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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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소셜 네트워크에 공유 · 2
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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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소셜 네트워크에 공유 · 1
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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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소셜 네트워크에 공유 · 3
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