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| Vive: | Russian Federation |
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The principle of constructing indicator lines . Profit Trade indicator is very effective for trading. Profit Trade is a deep development of the well-known Donchian channel indicator. The upper (BlueViolet color) Dup and the lower (IndianRed) Ddn lines of the indicator are constructed in the same way as in the Donchian channel , based on the highest (high of High) and lowest (low of Low) prices for
Descripción del indicador. " Signal Bands " es un procesamiento estadístico profundo y avanzado, un indicador sensible y conveniente que le permite ver inmediatamente en el gráfico principal y (1) la tendencia del movimiento del precio y (2) su canal claro y (3) signos latentes de un cambio en esta tendencia. El indicador se puede usar en gráficos de cualquier escala, pero, debido a su mayor sensibilidad al estado actual del mercado
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
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
Indicator description. The “ Alligator Analysis ” ( AA ) indicator allows you to build various (by averaging types and by scales) “ Alligators ” and their combinations, i.e. allows you to analyze the state of the market based on the correlation of this state with a whole range of different " Alligators ". The classic " Alligator " by Bill Williams is based on moving averages and Fibonacci numbers, which makes it one of the best
The indicator serves to : determine the probability density distribution of prices. This allows you to detail the structure of the channel, the position of its boundaries and statistically correctly predict the probability of price being in all segments of its fluctuations ; determining the moment of the channel change, for which a non-lagging moving average is being built, the algorithm of which was developed by the author
El indicador Identificar tendencia (" Identify Trend "), que utiliza métodos de filtrado bastante simples pero robustos (según la mediana móvil - el algoritmo XM ) y algoritmos más complejos desarrollados por el autor (XC, XF, XS, cuatro tipos de promedios móviles no retardados SMAWL, EMAWL, SSMAWL, LWMAWL ) , permite establecer el comienzo de un verdadero movimiento de tendencia con mucha precisión
El indicador de Señal Sensible (SS), que utiliza los métodos de filtrado desarrollados por el autor, permite, con un alto grado de probabilidad, establecer el comienzo del movimiento de tendencia verdadero. La filtración desarrollada por el autor se realiza en varias iteraciones y revela la verdadera trayectoria del movimiento de precios regular (más precisamente, la curva más probable de tal movimiento) y lo
El indicador Identificar tendencia (" Identify Trend PRO "), que utiliza métodos de filtrado bastante simples pero robustos (según la mediana móvil - el algoritmo XM ) y algoritmos más complejos desarrollados por el autor (XC, XF, XS, cuatro tipos de promedios móviles no retardados SMAWL, EMAWL, SSMAWL, LWMAWL ) , permite establecer el comienzo de un verdadero movimiento de tendencia con
El indicador, que utiliza los métodos de filtrado desarrollados por el autor, permite, con un alto grado de probabilidad, establecer el comienzo del movimiento de tendencia verdadero. La filtración desarrollada por el autor se realiza en varias iteraciones y revela la verdadera trayectoria del movimiento de precios regular y lo dibuja. Al mismo tiempo se filtran caminatas al azar del precio. Dicho filtrado es
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
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. The classic MACD indicator (Moving Average Convergence / Divergence) is a very good indicator following the trend, based on
![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.](https://c.mql5.com/1/152/USDCHFDaily__1.png)
![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.](https://c.mql5.com/1/147/0.5._USDCHFH4.png)
