Volume Weighted Regression Channel

20 Jun

This indicator constructs a volume-weighted linear regression channel over a custom time range.
It’s conceptually similar to a Volume Profile, but instead of projecting horizontal value zones, it builds a tilted trend channel that reflects both price direction and volume concentration.

🧠 Core Features:
Volume-weighted points: Each candle contributes to the regression line proportionally to its volume — heavier candles shift the channel toward high-activity price zones.

Linear regression line: Shows the trend direction within the selected time interval.

±σ boundaries: Outer bands represent the standard deviation of price (also volume-weighted), highlighting statistical dispersion.

Fully customizable: Adjustable line styles, widths, and channel width (sigma multiplier).

Time window control: Select any start and end time to define the regression interval.

📊 Why use this instead of Volume Profile?
While Volume Profile shows horizontal distributions of traded volume, this indicator is ideal when:

You want to understand how volume clusters affect trend direction, not just price levels.

You're analyzing time-dependent flow rather than static price zones.

You're looking for a dynamic volume-adjusted channel that moves with the market's structure.

It’s especially useful in identifying volume-supported trends, hidden pullback zones, and statistical extremes.

⚙️ Notes:
Works on any timeframe and instrument.

Does not repaint.

Does not require volume profile data feeds — uses standard volume and hl2.

1 Jul

Nota Keluaran

🔄 Update: Dual Sigma Boundaries for Volume Weighted Regression Channel

We’ve added support for a second channel boundary to the Volume Weighted Regression Channel indicator!

📌 What’s new:

Now you can enable two separate sigma levels to be displayed at the same time.

For example, visualize both the 1-sigma and 2-sigma boundaries simultaneously.

Each boundary has independent style and color settings for enhanced visual control.

🎯 Why it matters:
This update allows traders to better identify price extremes and dynamic support/resistance zones within a statistically significant volume-weighted trend channel.

🛠️ Example use cases:

1σ for typical price fluctuation

2σ for rare/overextended moves