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Miha Kralj
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| **PineScript** | [rsquared.pine](rsquared.pine) |
- The Coefficient of Determination (R²) measures the proportion of variance in the actual values that is predictable from the predicted values.
- **Similar:** [RSE](../rse/Rse.md), [Correlation](../../statistics/correlation/Correlation.md) | **Trading note:** R-squared (coefficient of determination); 1.0 = perfect fit, 0 = no better than mean.
- **Similar:** [RSE](../rse/Rse.md), [Correl](../../statistics/correl/Correl.md) | **Trading note:** R-squared (coefficient of determination); 1.0 = perfect fit, 0 = no better than mean.
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
The Coefficient of Determination (R²) measures the proportion of variance in the actual values that is predictable from the predicted values. R² ranges from negative infinity to 1, where 1 indicates perfect predictions.