gavindiaz/QuanTAlib
1
0
Fork 0
mirror of https://github.com/mihakralj/QuanTAlib.git synced 2026-08-26 06:18:05 +00:00
Code Issues Packages Projects Releases Wiki Activity

VIDYA indicator with adaptive smoothing based on market volatility.

Browse Source
This commit is contained in:
Miha Kralj
2025-12-10 20:07:46 -05:00
parent 66b1fc3dca
commit 053234045f
15 changed files with 918 additions and 27 deletions
Download Patch File Download Diff File Expand all files Collapse all files
lib/trends/_index.md
+1 -1
View File
@@ -58,7 +58,7 @@ Trend indicators help identify the direction and strength of a market trend. Mov
| [TRIMA](trends/trima/Trima.md) | Triangular Moving Average | A double-smoothed SMA that gives more weight to the middle of the data window. |
| USF | Ehlers Ultrasmooth Filter | |
| VAMA | Volatility Adjusted MA | |
| VIDYA | Variable Index Dynamic Average | |
| [VIDYA](trends/vidya/Vidya.md) | Variable Index Dynamic Average | Adapts smoothing based on volatility using the Chande Momentum Oscillator (CMO). |
| WIENER | Wiener Filter | |
| [WMA](trends/wma/Wma.md) | Weighted Moving Average | Assigns a heavier weighting to more current data points since they are more relevant. |
| YZVAMA | Yang-Zhang Volatility Adjusted MA | |