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@@ -13,9 +13,7 @@
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| **PineScript** | [mape.pine](mape.pine) |
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- Mean Absolute Percentage Error (MAPE) measures the average absolute percentage difference between actual and predicted values.
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- Parameterized by `period`.
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- Output range: $\geq 0$.
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- Requires 1 bar of warmup before first valid output (IsHot = true).
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- **Similar:** [SMAPE](../smape/Smape.md), [MAAPE](../maape/Maape.md) | **Trading note:** Mean Absolute Percentage Error; scale-independent accuracy. Undefined when actuals are zero.
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- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
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Mean Absolute Percentage Error (MAPE) measures the average absolute percentage difference between actual and predicted values. It expresses accuracy as a percentage, making it scale-independent and easy to interpret.
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@@ -192,4 +190,4 @@ Same absolute error (50), but over-prediction shows higher MAPE.
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* [MAPD](../mapd/Mapd.md) - Mean Absolute Percentage Deviation (divides by predicted)
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* [SMAPE](../smape/Smape.md) - Symmetric Mean Absolute Percentage Error
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* [MPE](../mpe/Mpe.md) - Mean Percentage Error (signed)
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* [MAE](../mae/Mae.md) - Mean Absolute Error (same units)
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* [MAE](../mae/Mae.md) - Mean Absolute Error (same units)
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