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/expB_artifact_baselines/README.md

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

# expB_artifact_baselines

Artifact baselines: null distributions of bounce, staleness, non-synchronous lead-lag

Status: **completed 2026-08-12** — see analysis.md; null magnitudes recorded in research/artifact_taxonomy.md.