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Moving Average Angle 13 types

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Demo downloaded: 314

Published: 18 November 2013

Current version: 2.3

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Moving Average Angle 13 types

Indicators
Jose Miguel Soriano
Version: 2.3
Updated: 22 January 2022
Activations: 5

"MA Angle 13 types" is an indicator that informs of the inclination angle of the moving average curve that is displayed on the screen.

It allows selecting the MA method to use. You can also select the period, the price and the number of bars the angle is calculated for. In addition, "factorVisual" parameter adjusts the information about the MA curve angle displayed on this screen. The angle is calculated from your tangent (price change per minute).

You can select up to 13 types of MA, 9 standard ones in MT5 (SMA, EMA, SMMA, LWMA, DEMA, TEMA, Frama, VIDYA, AMA) and 4 non-standard ones (LRMA, HMA, JMA, SAYS), from which code is copyright NIKOLAY KOSITSIN - Godzilla and can be found on the web (e.g., LRMA).

General Parameters

Method MA - select the type of the Moving Average to show in the current graph.
Period MA - the number of bars to calculate the Moving Average.
Period signal - period of smoothing signal.
Applied Price - select price type (close, high, low ...).
TimeFrame - provides the vision of MA in different frames to the graph.
No candles for calculation - tangent angle calculated as change in price per minute.
Visual factor - approaching the visual numerical information to graphic when the user zooms in the graph.

Advantages of Use

Trend strength evaluation for risk management.
Anticipating change in trend.

more...

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This indicator incorporates the volume to inform the market trend. A warning system (chart, SMS and e-mail) is incorporated for warning when a certain level is exceeded. Developed by Marc Chaikin, Chaikin Money Flow (CMF) measures the amount of Money Flow Volume (MFV) over a specific period. Money Flow Volume forms the basis for the Accumulation Distribution Line. Instead of a cumulative total of Money Flow Volume, Chaikin Money Flow simply sums Money Flow Volume for a specific look-back period.

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R2 (R-squared) represents the square of the correlation coefficient between current prices and deducted from the linear regression. It is the statistical measure of how well the regression line is adjusted to the actual data, and therefore it measures the strength of the prevailing trend without distinguishing between ascending and descending one. The R2 value varies between 0 and 1, therefore it is an oscillator of bands that can show signs of saturation (overbought / oversold). The more the v

If instead of giving the regression value indicator end of the regression line (LRMA), we give the value of its slope, we obtain LRS or Linear Regression Slope Indicator. Since the slope is positive when prices rise, zero when they are in range and negative when they are lowered, LRS provides us the data on the price trend. Calculation sum(XY, n) - avg(Y, n)*sum(X, n) Y= a + mX; m= -------------------------------- a= avg(Y, n) - m*avg(X, n)

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