Using Linear Regression Slope to Track Trend Strength and Momentum

Summary

The document describes an oscillator calculated from the slope of a linear regression across a configurable lookback period. It presents the slope as a way to gauge trend strength and possible exhaustion, including by comparing the current histogram value with the preceding one. A slope that reaches a turning point is also proposed as a short-term momentum cue.

The accompanying indicator logic uses a default length of 14, computes regression terms from lagged average closing prices, and scales the resulting slope by 100. The document provides no chart examples, market tests, or performance evidence. It does not specify how to define histogram changes, confirm a turning point, or manage entries and risk, so the oscillator is best understood here as a descriptive indicator concept rather than a complete trading system.

Key ideas

• The oscillator represents the slope of a linear regression over a chosen lookback period.
• The document proposes using the slope to assess trend strength and possible exhaustion.
• A change in the histogram relative to its prior value is presented as a clue to trend strength.
• A turning slope may serve as a short-term momentum signal.
• The document gives no empirical results or rules for trade execution and risk management.

Tags

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