anomaly-atlas
Honesty doctrine. Every candidate anomaly is an artifact until proven otherwise; in-sample results are never findings; past statistical regularity does not imply future returns. This is research on statistical properties of market data — not investment advice, not a trading system.

Code / experiments/micro/expE_calendar_scan/README.md

experiments/micro/expE_calendar_scan/README.md 16 lines
---
project: anomaly-atlas
document: expE_calendar_scan/README
author: Simon-Pierre Boucher
contact: contact@spboucher.ai
data_source: hfmarketdata.io
created: 2026-08-12
status: draft
---

# expE_calendar_scan

Calendar scan: intraday, day-of-week, turn-of-month with pre-counted hypothesis budget

Status: **completed 2026-08-12** — zero of 8 pre-declared calendar tests survive the permuted-calendar null; turn-of-month decayed inside train; controls held. H20 intraday artifact profile measured.