Building a Linear Regression Channel with Trend and Price Zones

Summary

This ProRealTime indicator fits a least-squares line to recent closing prices, using a fixed lookback of 200 bars. It calculates the slope and intercept from sums of price and time values, then draws the fitted line and bands around it. The described band width uses a standard-deviation measure multiplied by a configurable deviation factor. The display also labels the slope as rising, falling, or range-like and assigns current prices to zones for buying, adding, reducing, or selling.

The material gives the script and a high-level explanation, but it supplies no backtest, performance evidence, or rules for turning the visual zones into a complete trading system. The two channel-type branches shown use the same width calculation, despite the description suggesting a choice between standard deviation and standard error. Some displayed calculations and labels may also depend on platform-specific settings. The indicator is therefore best understood as a charting and classification tool; its signals and parameter choices require independent verification before use.

Key ideas

• The indicator estimates a linear regression of closing prices across a fixed 200-bar window.
• It draws the fitted line and deviation bands whose width depends on a multiplier.
• The chart classifies slope conditions and price locations into visual trend and trading zones.
• The supplied material reports no performance testing or evidence that the zones predict profitable trades.
• The stated channel-type selection is not reflected in distinct calculations in the shown code.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.