Volumetric Regression Heatmap

Volumetric Regression Heatmap bins traded volume by its distance from a fitted regression channel midline and paints the result as heat bands around the trend. Higher-intensity bands mark where the market traded heavily relative to the fit, Gaussian smoothing keeps the gradient readable, and the fit's period expands or contracts with an ATR-based volatility ratio so the channel stays relevant as conditions change. A projection extends the structure into upcoming bars as a map of where price statistically tends to gravitate.

How to Trade the Volumetric Regression Heatmap?

• High-intensity bands: volume-dense zones around the trend, liquidity that tends to slow an approach or provoke a reaction rather than let price slice through.
• Mean-reversion signals: mark closes that crossed beyond the upper or lower standard-deviation band, and print only while the current fitted channel is flat (its total rise below the Flat Slope Threshold times its standard deviation); a lower-band signal reads as oversold within the channel, an upper-band signal as overbought. The whole set is redrawn against the latest fit, so past signals can shift or disappear as the channel updates; treat them as context within the current channel rather than fixed entry points.
• Delta histograms: bars along the channel's top and bottom show estimated buying and selling volume, split by where each bar closed within its range, as a read on whether pushes away from the midline carry pressure.

Volumetric Regression Heatmap Settings

• Source / Base Period: the input series and the standard regression window.
• Dynamic Auto-Adjusting Period: lets volatility shorten the fit in fast markets and lengthen it in stable ones.
• Grid Rows Each Side / Gradient Smoothing / Heatmap Colors: band count per side, gradient smoothing, and palette.
• Signal Band (SD Multiplier) / Flat Slope Threshold: the deviation level that triggers signals, and the maximum channel height allowed for them to print.
• Display extras: delta histogram scale and width, Future Projection Length, an edge-of-chart volume profile histogram, and the dashboard with position and size options.

Frequently Asked Questions

When are the mean-reversion signals most dependable?

How does it relate to the Volume Profile Regression Channel?

Is the Volumetric Regression Heatmap free to use?