Spearman's Rank Correlation
This is a powerful addition to your MetaTrader 5 toolkit designed to optimize market analysis and performance. 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 Spearman's Rank Correlation
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
Rosh
Spearman's Rank Correlation is a non-parametrical method used for statistical analysis of the correlation.
Practical calculation of the Spearman's Rank Correlation ratio includes the following steps:
An index number (a rank) must be assigned to each of the parameters in ascending (or descending) order;
The differences of each pair ranks of the compared values must be determined;
Each difference must be squared and the gained results must be summed up;
The ranks correlation ratio must be calculated as follows:
where is a sum of the ranks difference and is a number of paired observations.
When using the rank correlation ratio, the tightness of the correlation between the parameters is conventionally evaluated. The ratio values equal to 0.3 or lower are deemed to show weak correlation tightness, the values more than 0.4 but less than 0.7 show moderate correlation tightness and the values equal to 0.7 or higher indicate high correlation tightness.
The power of the Spearman's Rank Correlation is a bit lower than the power of the correlation parametrical ratio. It is reasonable to use the rank correlation ratio in case there is a small amount of observation results.
This method can be used not only for quantitative data but also when registered values are determined by descriptive features of different intensity. The description is taken from .
This indicator is a type of an oscillator but it is more smooth unlike , while not lagging at the reverse points.
The only external parameter affecting the calculation algorithm is rangeN setting the number of bars, for which we are looking for regularity. If rangeN = 14, we use the close prices sequence Close[i], Close[i+1], ... Close[i+rangeN-1] and create a sequence of ranks for them, i.e. the place each close price is located at, in case this sequence is sorted. In this case we have one real chart compared with a steadily increasing one.
The direction parameter means sorting in descending (true) or ascending (false) order. The value of the true parameter shows more traditional picture, while false shows a mirror image.
The CalculatedBars parameter is implemented to limit the number of the bars the calculation is performed for and to save CPU resources (though it may not be so important). Zero value means the calculation refers to the whole available history. The Maxrange parameter that is equal to 30 sets the maximum calculation period. This parameter is also implemented to save resources and it can be useful for some traders.
Spearman's Rank Correlation indicator
