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 / CITATION.cff

CITATION.cff 22 lines
# =============================================================================
#  Project   : anomaly-atlas
#  File      : CITATION.cff
#  Purpose   : Citation metadata for the research repository
#  Author    : Simon-Pierre Boucher
#  Contact   : contact@spboucher.ai
#  Data src  : hfmarketdata.io (sole data source)
#  Created   : 2026-08-12
#  Modified  : 2026-08-12
#  Platform  : macOS / Apple Silicon (arm64)
#  License   : All rights reserved (research code)
# =============================================================================
cff-version: 1.2.0
message: "If you use this research, please cite it as below."
title: "anomaly-atlas: systematic discovery & rigorous validation of statistical anomalies in open HF market data"
authors:
  - family-names: "Boucher"
    given-names: "Simon-Pierre"
    email: "contact@spboucher.ai"
date-released: "2026-08-12"
version: "0.0.1"