release: v0.19.0

2026-08-24 22:48:05 +00:00 · 2026-08-23 13:31:37 +00:00
parent a5f51e2fde
commit 44f8ed1a91
43 changed files with 2666 additions and 205 deletions
@@ -11,6 +11,8 @@ The idea: fit a rolling OLS regression on price. When the slope is steep
 and the R² is high (price moves in a straight line), we have a strong trend.
 Size proportionally to slope strength * R² confidence.

+Data: shared store — real market data from `data/` (see examples/README.md)
+
 Usage:
    python examples/04_linear_regression.py
 """