Machine Learning: MFI Heat Map

Step 1

How it works

The heat map plots a ladder of MFI lengths and can average each layer with a machine-learning MFI value. This makes agreement, divergence, and broad money-flow state visible without switching repeatedly between lengths.

• •Multi-length MFI heat map
• •Up to 28 plotted layers
• •Machine-learning averaging
• •Broad money-flow state
• •Length-by-length comparison

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 the number of heat-map plots.
• •Set the starting MFI length and growth behaviour.
• •Adjust colours for readable agreement and divergence.

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.