JM A Z-score
This tool for MetaTrader 5 is specifically engineered to streamline your trading operations. This technical indicator acts as a specialized analysis tool designed to visualize market data. It helps traders identify emerging trends, momentum shifts, and key support or resistance levels by plotting statistical calculations directly onto price charts.
How to Setup and Use JM A Z-score
1. Installation: Place your file in the MQL/Indicators folder via "Open Data Folder" and restart your terminal.
2. Loading: Find the indicator in the Navigator, drag it onto your chart, and configure the input parameters in the popup window.
3. Customization: Press Ctrl+I to open the indicator list, select your tool, and click "Properties" to change colors, levels, or visual styles.
4. Updating: Replace the old file in the Indicators folder with the new version and restart the platform to apply changes.
Frequently Asked Questions
Q: Why is my indicator not showing? A: Verify the file is in the MQL/Indicators folder, or try right-clicking the "Indicators" tree in the Navigator and clicking "Refresh."
Q: Do custom indicators slow down the platform? A: Too many complex indicators can impact performance; remove unused ones via the "Indicator List" (Ctrl+I).
Q: Can I use MT4 indicators on MT5? A: No, MQL4 and MQL5 are distinct languages; ensure the indicator is compiled specifically for your platform version.
Description & Settings
Theory :
A
z-score
(aka, a
standard score
) indicates how many an element is from the mean. A z-score can be calculated from the following formula.
z = (X - μ) / σ
where z is the z-score, X is the value of the element, μ is the population mean, and σ is the standard deviation.
Here is how to interpret z-scores.
A z-score less than 0 represents an element less than the mean.
A z-score greater than 0 represents an element greater than the mean.
A z-score equal to 0 represents an element equal to the mean.
A z-score equal to 1 represents an element that is 1 standard deviation greater than the mean; a z-score equal to 2, 2 standard deviations greater than the mean; etc.
A z-score equal to -1 represents an element that is 1 standard deviation less than the mean; a z-score equal to -2, 2 standard deviations less than the mean; etc.
If the number of elements in the set is large, about 68% of the elements have a z-score between -1 and 1; about 95% have a z-score between -2 and 2; and about 99% have a z-score between -3 and 3.