Normalized ATR three modes

Is the market volatile today? More than yesterday? EURUSD is volatile? More than GBPUSD? We need an indicator that allows us to these responses and make comparisons between pairs or between different timeframes. This indicator facilitates this task.

  • Reports the normalized ATR as three modes;
  • It has a line that smooths the main signal;
  • The normalization of values occurs within a defined interval by user (34 default bars);
  • The user can also define any symbol and timeframe to calculate and to make comparative studies.

Calculation modes:

  • ABS_max_min= (realATR-absMin)*(relMax-relMin)/(absMax-absMin) + relMin (between 0-100);
  • Z_score = (realATR - arithmeticMean) / standardDeviation;
  • MA_ref = realATR / MAvalue * 100 (SMA of normalization period);

General parameters:

  • Symbol: Set different graphic symbol to study, for example, correlation behavior;
  • ATR period: The number of bars to calculate ATR;
  • Normalization period: Time interval over which we calculate the normalization values;
  • Period smoothing: Period to calculate signal line (EMA);
  • TimeFrame: Provides the vision of ATR in different frames.

Advantages:

  • Reports the level of volatility a relative way: more than yesterday, less than a month ago, etc;
  • Facilitates the study of volatility compared between different pairs;
  • Reports the level of correlation between different pairs visually.
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Chaikin Money Flow
Jose Miguel Soriano
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.
CCI normalized
Jose Miguel Soriano
Commodity Channel Index Technical Indicator (CCI) measures the deviation of the commodity price from its average statistical price. High values of the index point out that the price is unusually high being compared with the average one, and low values show that the price is too low. In spite of its name, the Commodity Channel Index can be applied for any financial instrument, and not only for the wares. There are two basic techniques of using Commodity Channel Index: Finding the divergences. The
R2 oscilator
Jose Miguel Soriano
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)                   
ATR channel all MAs
Jose Miguel Soriano
"ATR channel all MAs jm" is a indicator that allows displaying on a chart the ATR channel calculated according to the moving average selected. You can select 9 standard MAs available in MetaTrader 5 - SMA, EMA, SMMA, LWMA, DEMA, TEMA, Frama, VIDYA, AMA, TRIX, and 4 non-standard - LRMA, HMA, JMA, AFIRMA. General Parameters: Channel type - true: channel ATR, false: channel price. Method MA - select the type of moving average to show in the current graph. Period MA - the number of bars to calculat
Normalized OBV
Jose Miguel Soriano
When looking at the information of On Balance Volume indicator, a question arises: is it a strong or weak movement? Should it be compared with previous days? These data should be normalized to always have a reference. This indicator presents the followings parameters: Normalization period (Max-Mins absolute) Smoothing period (-1 off) Tick/Real Volume Maximum number of bars to calculate (-1 off) Upper value normalization Lower value normalization Calculation: normOBV = (value - absMin) * (relMax
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