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

lib/statistics/entropy/Entropy.md

@@ -13,9 +13,7 @@
 | **PineScript**   | [entropy.pine](entropy.pine)                       |
 
 - Shannon Entropy measures the unpredictability or randomness of a time series over a sliding window.
-- Parameterized by `period`.
-- Output range: Varies (see docs).
-- Requires `period` bars of warmup before first valid output (IsHot = true).
+- **Similar:** [Hurst](../hurst/Hurst.md), [StdDev](../stddev/StdDev.md) | **Trading note:** Shannon entropy; measures information content and randomness. High entropy = unpredictable market.
 - Validated against TA-Lib, Skender, and Tulip reference implementations where available.
 
 Shannon Entropy measures the unpredictability or randomness of a time series over a sliding window. A low entropy value indicates the series is highly predictable (clustered values), while a high entropy value indicates the data is spread uniformly across its range — maximum randomness.
@@ -108,4 +106,4 @@ var series = Entropy.Batch(source, period: 14);
 
 // Span mode
 Entropy.Batch(inputSpan, outputSpan, period: 14);
-```
+```