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v0.8.6: update indicator docs, ndepend tooling, ALMA refactor, gitignore cleanup

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Miha Kralj
2026-03-13 13:46:52 -07:00
parent e3e9555fc1
commit c75135ab14
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lib/errors/msle/Msle.md
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@@ -13,9 +13,7 @@
| **PineScript** | [msle.pine](msle.pine) |
- Mean Squared Logarithmic Error transforms both actual and predicted values through logarithms before computing squared error.
- Parameterized by `period`.
- Output range: $\geq 0$.
- Requires 1 bar of warmup before first valid output (IsHot = true).
- **Similar:** [RMSLE](../rmsle/Rmsle.md), [MSE](../mse/Mse.md) | **Trading note:** Mean Squared Log Error; penalizes under-prediction more than over-prediction. Good for growth rates.
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
Mean Squared Logarithmic Error transforms both actual and predicted values through logarithms before computing squared error. This compression makes MSLE robust to outliers and particularly suited for data with exponential growth patterns or wide dynamic ranges.
@@ -205,4 +203,4 @@ Near zero, small absolute differences create large MSLE:
* [RMSLE](../rmsle/Rmsle.md) - Root of MSLE for interpretable units
* [MSE](../mse/Mse.md) - Linear-scale squared error
* [MAPE](../mape/Mape.md) - Percentage-based comparison
* [MAPE](../mape/Mape.md) - Percentage-based comparison