Machine Learning Regression Trend Indicator MT5 - Free Download [TradingFinder] - MetaTrader 5 Resources

The machine learning regression trend indicator uses the Random Sample Consensus (RANSAC) algorithm to analyze market trends.

The algorithm removes outliers and displays a clearer linear pattern of price changes. The linear structure of prices can be identified with high accuracy using this method.

Machine learning regression trend indicator table

The general specifications of the machine learning regression trend indicator are shown in the table below.

Machine Learning Regression Trend Indicators at a Glance

The Machine Learning Regression Trend indicator serves as a multifunctional tool in the MetaTrader 5 platform.

Similar to the Linear Regression Channel, this indicator displays support and resistance lines while also providing the ability to predict future market direction.

To illustrate the trend, a linear regression line with an error range is plotted on the chart; in this tool, the blue area represents the acceptable error range.

Indicators are in an upward trend

In an uptrend, this indicator defines the blue channel as the main path of the price.

Candlesticks consolidating above the centerline generate a buy signal, while reactions to the lower rail act as dynamic support.

The increasing distance of the candle from the centerline and its movement to the upper rail reflect the strength of the bullish wave.

Indicators are in a downward trend

In a downtrend, the machine learning regression trend indicator depicts the overall market direction with a negative slope.

The candle's consolidation below the middle rail highlights selling pressure and confirms the continuation of the bearish trend. Additionally, the price reaction to the top of the regression channel acts as resistance, outlining the sell entry zone.

Machine Learning Regression Trend Settings

The image below shows the settings panel for the Machine Learning Regression Trend Indicator:

• Channel length (minval=5) : Display channel length (minval=5)
• Channel width, minval=0 : Channel width (minimum = 0)
• Source of Data : calculation data source
• Minimum inliers, minval=1 : Minimum number of inliers, the minimum value is 1
• Allowed Error : Tolerance threshold for detection
• minval=0, step=0.5 : minimum value = 0, change step = 0.5
• Maximum number of iteration steps : the maximum number of steps for algorithm iteration
• Line Color : Show line color
• Show Margin : Display channel margin
• Color of channel : Display channel color
• Margin transparency (0-255): Margin transparency (from 0 to 255)
• Show Channel : Display channel
• Color of channel : Display channel color
• Channel transparency (0-255) : Channel transparency (from 0 to 255)
• Show Inliers : Display inner value data
• Inliers color : Display the inner point color
• Show Outliers : Display Outliers
• Outliers color : Display the color of outliers

Conclusion

The machine learning regression trend indicator uses the RANSAC algorithm to eliminate outliers and provide a clearer picture of the real market trend.

This trading tool identifies dynamic support during bullish phases and resistance/selling pressure during bearish phases.