Using R-Squared to Assess the Statistical Strength of a Trend

Summary

R-Squared is described as a linear regression indicator that can help assess how statistically strong the current trend may be. Although its display resembles an oscillator, the document frames its purpose as indicating the reliability of a trend rather than identifying overbought or oversold conditions. Higher readings are presented as implying a greater likelihood that a new trend is statistically significant.

The note adds that the critical level for judging trend strength declines as the indicator period changes, so interpretation depends on the selected period. It gives no formula, threshold values, examples, market data, or backtest results, and it does not explain how to combine R-Squared with entries, exits, or risk limits. Traders would therefore need to establish and validate their own period-specific interpretation before using it in a strategy.

Key ideas

• R-Squared applies linear regression to assess the statistical strength of a trend.
• The indicator is presented as a trend reliability measure despite its oscillator-like appearance.
• Higher readings are associated with a greater likelihood that a new trend is statistically significant.
• The critical trend-strength level varies with the indicator period.
• The note provides no thresholds or empirical validation for trading use.

Tags

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