Machine Learning: Trend Lines

Step 1

How it works

The indicator applies rationalized sources and optional KNN distance sorting to traditional trend-line construction. The resulting lines can form vertical support/resistance and broader channel, flag, wedge, or pennant context.

• •Machine-learning high/low sources
• •Optional KNN distance sorting
• •Configurable exponential averaging
• •Projected trend lines
• •Support and resistance context

Step 2

Set up the script

Open the original publication, choose Use on TradingView, then add the script to the intended symbol and timeframe. Review each input before relying on the display; defaults are a starting point, not a universal recommendation.

• •Choose machine-learning or traditional sources.
• •Tune memory, KNN, fast, and slow lengths together.
• •Avoid interpreting every intersection as a signal.

Step 3

Create an alert

All current YinYang publications support TradingView alerts. Select a condition exposed by the script, confirm the symbol and timeframe, and test notifications before relying on them. This Alerts label does not by itself mean a webhook execution workflow has been verified.