Download Stochastic of Hull for MetaTrader 5

Stochastic of Hull

Stochastic of Hull

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 Stochastic of Hull

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


The Stochastic Oscillator is a momentum indicator comparing the price to the range of its prices over a certain period of time. The sensitivity of the oscillator to market movements is reducible by adjusting that time period or by taking a Moving Average of the result.
Hull Moving Average has been added in order to reduce the false signals. Hull average is used prior to stochastic calculation thus filtering the prices before they are used in the stochastic calculation. This method is used since it adds much less lag than if the smoothing of the already calculated stochastic value would be used.

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