Inverse Distance Weighted Moving Average (ID Wma)
This is a powerful addition to your MetaTrader 4 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 Inverse Distance Weighted Moving Average (ID Wma)
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
This multi-timeframe capable moving average discounts prices far from the average. It is smoother than SMA but follows price similar to an EMA of the same length.
I came across , thought it might be useful and coded it.
It does have some overshoot and initial lag just like SMA, but converges to nearer to price than the corresponding EMA. The initial lag may be useful in a trailing stop and when the market has reversed direction.
There are four (4) parameters, the first three are the same as the standard moving average
