The Linear Regression Slope measures the rate at which price is increasing or decreasing over a selected period. It calculates the slope of the regression line fitted to recent price data.

For automated trading strategies, this indicator helps determine how quickly the price trend is changing, which can indicate whether a trend is strengthening, weakening, or reversing.

What does the Linear Regression Slope measure?

The Linear Regression Slope calculates the numerical slope of the best-fit line across the selected period of price data.

In general:

• A positive slope value indicates that price is trending upward
• A negative slope value indicates that price is trending downward
• A slope value close to zero suggests the market is moving sideways

The larger the slope value, the stronger the rate of price change in that direction.

This makes the indicator useful for measuring how rapidly the price trend is developing.

How the Linear Regression Slope is used in indicator-based triggers

In automation, the Linear Regression Slope can be used to detect changes in the rate of price movement.

For example, strategies may monitor when:

• The slope crosses above a defined value, indicating strengthening upward momentum
• The slope falls below a defined threshold, suggesting increasing downward pressure
• The slope moves relative to another indicator, helping confirm whether a trend is accelerating or slowing down

These types of triggers allow automated strategies to react when the speed of a trend begins to change.