project: anomaly-atlas document: candidate_01/hypothesis author: Simon-Pierre Boucher contact: contact@spboucher.ai data_source: hfmarketdata.io created: 2026-08-12 status: draft
Hypothesis — candidate_01
text
Hypothesis
<what we believe and why — pre-specified BEFORE looking at results>
Falsification criterion
<the concrete measurable outcome that would prove this wrong>
Artifact null(s)
<the fake-signal baseline(s) this must beat: bounce / staleness /
non-synchronous timestamps / permuted calendar / random walk>
Method
<exact procedure, universe, split (train/validation/holdout), seeds,
number of hypotheses tested, correction applied>
Result
<filled after the run: effect size, bootstrap CIs, corrected p-values,
OOS status, cost-adjusted effect, credits used>
Interpretation
<what the numbers mean, WITH confidence level (0-3); alternative
explanations considered — artifact first>
Next experiment
<the most informative follow-up given this result>