Machine Learning Gaussian Process Regression Indicator MT5 – [TradingFinder]

The Machine Learning Gaussian Process Regression Indicator is an advanced statistical and machine learning framework designed based on stochastic processes, modeling hidden market trends.

Instead of relying on traditional linear equations, this trading tool extracts complex and nonlinear structures using Kernel Functions and displays them as dynamic curves on the chart.

Machine Learning Gaussian Process Regression Indicator Table

The table below provides the general specifications of the Machine Learning Gaussian Process Regression Indicator:

Machine Learning Gaussian Process Regression Indicator at a Glance

The Machine Learning Gaussian Process Regression Indicator is recognized as an advanced machine learning approach in technical analysis. This tool removes noise and identifies hidden trends, revealing the true price path.

It can also predict future market movements using the parameters "Training Window," "Smooth," and "Sigma," and model recent data with output either smooth or sensitive to price breakouts.

Indicator in an Uptrend

The chart below shows the EUR/GBP currency pair in the 15-minute timeframe.

When the Gaussian Process Regression Indicator is set to appropriate Smooth values, the output appears as a sustained positive slope, signaling the start of an upward wave.

Additionally, the actual price stabilizing above the predicted path is considered confirmation of the continuation of the uptrend.

Indicator in a Downtrend

The image below shows the CHF/JPY currency pair in the 4-hour timeframe.

A sustained negative slope in the Machine Learning Gaussian Process Regression Indicator’s forecast is a valid signal of selling pressure and continuation of the downtrend.

Moreover, actual price remaining below the predicted path reinforces the likelihood of a correction or the start of a new downward movement.

Machine Learning Gaussian Process Regression Settings

The image below displays the settings of the Machine Learning Gaussian Process Regression Indicator in MetaTrader 5:

• Training Window: Last 100 candles used as the training window
• Forecasting Length: Forecast horizon over the next 20 candles
• Smooth (RBF length): RBF kernel length set to 20
• Sigma (Noise): Noise or error variance value
• Training Window Color: Displays the color of the training data
• Forecast Color: Displays the color of the forecast section

Conclusion

The Machine Learning Gaussian Process Regression Indicator in MetaTrader 5 is an advanced tool that identifies hidden market trends and estimates the future price path.

By removing noise and producing smooth or breakout-sensitive outputs, it enables more precise analysis.