This Indicator is based on Mr. Dan Valcu ideas.
The author of this article is Veronica Valcu.
The z-score (z) for a data item x measures the distance (in standard deviations StdDev) and direction
of the item from its mean (U):
z = (x-StdDev) / U
A value of zero indicates that the data item x is equal to the mean U, while
positive or negative values show that the data item is above (x>U) or below
(x Values of +2 and -2 show that the data item is two standard deviations
above or below the chosen mean, respectively, and over 95.5% of all data
items are contained within these two horizontal references.
Based on the article and ideas about the z-score concept we can use it to get more confidence where we want to be sure this is an oversold or overbought zone.
The indicator draws two levels on 2 and -2. Z-Score color comes red when it goes above 2, and the color changes to green when it goes below the -2 level. The Z-Score color which value is between 2 & -2 is gray.
So far, this is the description of the indicator(ARKA-Z Score), which has been written separately and published for the public. In this indicator, we intend to smooth the value of Z-Score we get using moving averages.
Z-score applied to close prices is an irregular curve that can be smoothed by applying
moving averages. A simple three-day moving average has been applied to the z-score (20), and a simple five-day moving average is applied to the resulting average.
Long opportunities were initiated when the three-day simple moving average crossed above the five-day simple moving average of the three-day simple moving average. Short opportunities were initiated when the three-day simple moving average crossed below the five-day simple moving average of the three-day simple moving average.
The author of this article is Veronica Valcu.
The z-score (z) for a data item x measures the distance (in standard deviations StdDev) and direction
of the item from its mean (U):
z = (x-StdDev) / U
A value of zero indicates that the data item x is equal to the mean U, while
positive or negative values show that the data item is above (x>U) or below
(x Values of +2 and -2 show that the data item is two standard deviations
above or below the chosen mean, respectively, and over 95.5% of all data
items are contained within these two horizontal references.
Based on the article and ideas about the z-score concept we can use it to get more confidence where we want to be sure this is an oversold or overbought zone.
The indicator draws two levels on 2 and -2. Z-Score color comes red when it goes above 2, and the color changes to green when it goes below the -2 level. The Z-Score color which value is between 2 & -2 is gray.
So far, this is the description of the indicator(ARKA-Z Score), which has been written separately and published for the public. In this indicator, we intend to smooth the value of Z-Score we get using moving averages.
Z-score applied to close prices is an irregular curve that can be smoothed by applying
moving averages. A simple three-day moving average has been applied to the z-score (20), and a simple five-day moving average is applied to the resulting average.
Long opportunities were initiated when the three-day simple moving average crossed above the five-day simple moving average of the three-day simple moving average. Short opportunities were initiated when the three-day simple moving average crossed below the five-day simple moving average of the three-day simple moving average.