gavindiaz/QuanTAlib
1
0
Fork 0
mirror of https://github.com/mihakralj/QuanTAlib.git synced 2026-08-21 12:08:05 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'dev'

Browse Source
This commit is contained in:
Miha Kralj
2026-03-13 13:47:10 -07:00
parent a8946cfab7 c75135ab14
commit 86a1db286c
404 changed files with 2754 additions and 1763 deletions
Download Patch File Download Diff File Expand all files Collapse all files
lib/errors/me/Me.md
+2 -4
View File
@@ -13,9 +13,7 @@
| **PineScript** | [me.pine](me.pine) |
- Mean Error (ME), also known as Mean Bias Error, measures the average error between actual and predicted values while preserving the sign.
- Parameterized by `period`.
- Output range: $\geq 0$.
- Requires 1 bar of warmup before first valid output (IsHot = true).
- **Similar:** [MAE](../mae/Mae.md), [MPE](../mpe/Mpe.md) | **Trading note:** Mean Error (bias); positive = systematic overprediction, negative = underprediction.
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
Mean Error (ME), also known as Mean Bias Error, measures the average error between actual and predicted values while preserving the sign. Unlike MAE, ME reveals systematic bias in predictions: whether a model consistently over-predicts or under-predicts.
@@ -179,4 +177,4 @@ Always use ME alongside MAE or MSE to get a complete picture.
* [MAE](../mae/Mae.md) - Mean Absolute Error (magnitude only)
* [MSE](../mse/Mse.md) - Mean Squared Error
* [MPE](../mpe/Mpe.md) - Mean Percentage Error (relative bias)
* [MPE](../mpe/Mpe.md) - Mean Percentage Error (relative bias)