mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-24 05:28:05 +00:00
v0.8.6: update indicator docs, ndepend tooling, ALMA refactor, gitignore cleanup
This commit is contained in:
@@ -13,9 +13,7 @@
|
||||
| **PineScript** | [mdae.pine](mdae.pine) |
|
||||
|
||||
- Median Absolute Error (MdAE) measures the middle value of all absolute errors.
|
||||
- Parameterized by `period`.
|
||||
- Output range: $\geq 0$.
|
||||
- Requires `period` bars of warmup before first valid output (IsHot = true).
|
||||
- **Similar:** [MAE](../mae/Mae.md), [MdAPE](../mdape/Mdape.md) | **Trading note:** Median Absolute Error; robust central-tendency error metric, resistant to outliers.
|
||||
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
|
||||
|
||||
Median Absolute Error (MdAE) measures the middle value of all absolute errors. Unlike MAE which averages errors, MdAE finds the median, providing exceptional robustness against outliers and extreme values.
|
||||
@@ -167,4 +165,4 @@ Batch SIMD: 4x-8x speedup for large windows. ~3-5 cy/bar amortized in vectorized
|
||||
|
||||
* [MAE](../mae/Mae.md) - Mean Absolute Error (uses mean)
|
||||
* [MdAPE](../mdape/Mdape.md) - Median Absolute Percentage Error
|
||||
* [Huber](../huber/Huber.md) - Huber Loss (robust but differentiable)
|
||||
* [Huber](../huber/Huber.md) - Huber Loss (robust but differentiable)
|
||||
Reference in New Issue
Block a user