Audited / PhD Validated · Two Independent Reports

Audited & PhD Validated

Determination · Validated with Qualifications

Two independent PhD reviews of RegimeSignal™'s four S&P 500 prediction signals — the full market cycle. Both reached the same determination: "Validated with Qualifications," with every limitation disclosed in full below.

Independent PhD Validation · Report 1 of 2

Full Market Cycle Prediction, Validated

✓ Validated with Qualifications
4 / 4 matrices reproduced exactly
0 evidence of leakage
No look-ahead bias

An independent PhD statistical validation of RegimeSignal™'s four S&P 500 prediction signals — the full market cycle: pullback, correction, bear, and recovery. Reviewer: Dr A. Trabelsi Karoui, PhD · June 2026.

PhD Independent Validator

Dr Ali Trabelsi Karoui, PhD

PhD in Finance · University of Sfax (2023) · Master's in Research (Finance), École Supérieure de Commerce, University of Sfax (2018)

R&D Team Lead, Financial Innosights · Data Scientist, FundEvolve · former Postdoctoral Researcher, ICADE Business School, Universidad Pontificia Comillas (Madrid).

Peer-reviewed publications in ranked finance journals, with research spanning regime modeling, market-stress indices, exchange-rate econometrics, and applied machine learning in finance (Best Paper Award, International Finance Conference, 2024).

His hands-on methodological expertise maps directly onto what these signals use: walk-forward (expanding-window) backtesting and out-of-sample evaluation, regularized linear and non-linear ensemble classifiers, confusion-matrix and AUC/precision–recall analysis under class imbalance, bootstrap robustness testing, and Markov regime-switching models.

Independence: No equity, consulting relationship, or prior employment with the engaging party; no participation in model construction. The validation was performed independently.

The engagement

RegimeSignal™ commissioned a fully independent statistical validation and replication of its four classifier signals from a doctoral quantitative-finance researcher with no role in the models' construction. The reviewer worked from a locked evaluator package — code, locked prediction files, data, and a SHA-256 manifest — over a defined review window (May 30 – June 3, 2026), reinstalling the environment from scratch and re-running every reproduction script.

Scope & protocol

Four classifier signals were in scope — BRS, MBS T1, MBS T2, RRS. The Bull/Bear Velocity gauges, the HybridBrain™ overlay, and the AI assistant were out of scope. The protocol covered five areas: (a) package-integrity verification against the SHA-256 manifest, (b) reproduction of every headline confusion matrix, (c) walk-forward protocol integrity (look-ahead / leakage), (d) input-data integrity via FRED spot-checks, and (e) a methodology assessment against known statistical failure modes.

Findings by area

Package integrity (SHA-256 manifest)Pass
Reproduction of all four confusion matricesPass
Walk-forward integrity (no look-ahead)Pass
Data leakagePass
Input-data integrity (FRED spot-checks)Pass / Notes
Operating-point & hyperparameter selectionPass / Qual.

Reproduced precision & confidence intervals

SignalPrecisionWilson 95% CI
BRS — Bear regime (−20%)86%72% – 93%
MBS T1 — Pullback (−5%)83%69% – 92%
MBS T2 — Correction (−10%)84%68% – 93%
RRS — Recovery (+10%)82%*52% – 95%

All four confusion matrices reproduced exactly from the locked files; MBS T1, MBS T2 and RRS matched to floating-point tolerance, and every walk-forward fire/no-fire decision was identical. Intervals reflect genuine sampling uncertainty given the modest number of historical signal events — widest for RRS, which fired only 11 times in its out-of-sample window. *See qualifications.

All four published confusion matrices reproduced exactly from the locked files. The methodology was judged sound for the Bear Regime Signal and both Market Break tiers. The qualifications — disclosed in full below — pertain principally to the Regime Recovery Signal and to two macro-guardrail data gaps, and were themselves pre-disclosed by the author as the reason for commissioning the report.

⚠ Qualifications, disclosed in full

Regime Recovery Signal (RRS). Its decision threshold and hyperparameters were selected on the same out-of-sample window on which its results are reported, so its precision is a historical upper bound under an optimized operating point, not an unbiased forward estimate — with a wide confidence interval (52%–95%). Pre-disclosed by the author.

BRS guardrail data gaps. Two of the eight macro guardrails (a high-yield credit-spread series and a forward P/E series) had data gaps and defaulted to PASSED for much of the out-of-sample history, so the two-layer system effectively operated with roughly six of eight guardrails. The direction of both defaults is conservative — they cannot inflate false positives, only reduce coverage.

BRS coverage. Bear-Alert recall is intentionally secondary by design (high precision comes at the cost of some missed bear months at the Alert level); broader coverage is supplied by the velocity gauges and lower-tier watch alerts, which were out of scope.

Determination is "Validated with Qualifications," not an unconditional validation. Full report available to qualified reviewers under NDA on written request to info@cronusmarketintelligence.com. This review does not validate live or production deployment, and does not constitute investment advice. Past market signal record does not guarantee future results.

Independent PhD Audit · Report 2 of 2

Independently audited — all four signals across the full S&P 500 market cycle

Determination · Validated with Qualifications

~86%

bear-market precision · flagship BRS · reproduced exact

✓ Genuine signal, confirmed. Across 1,000 shuffled-label trials, all four signals scored far above random chance — zero matched the real model.

A deliberately stricter, independent PhD replication and robustness audit of RegimeSignal™'s four S&P 500 prediction signals — the full market cycle — designed not to duplicate the validation. Auditor: Dr Jamal Hossain, PhD · July 8, 2026.

PhD Independent Auditor

Dr Jamal Hossain, PhD

Lecturer in Applied Health Statistics · University of Southampton

PhD · MSc, Statistics (with distinction) · BSc (Hons), Statistics · FHEA · Member, Statistical Sciences Research Institute (S3RI)

PhD in Social Statistics & Demography (University of Southampton, 2023), completed as a Commonwealth Scholar. Peer-reviewed publications in journals including JAMA Network Open and PLoS ONE, with research spanning statistical modelling, multilevel & longitudinal analysis, classification metrics, reproducibility, and machine-learning methods. ORCID: 0000-0002-2728-1055.

Independence: No role in the model's construction and no financial relationship with Cronus Market Intelligence beyond the audit fee. The engagement was limited to statistical audit, replication, implementation-integrity, and robustness checks — not an assessment of market or investment merit.

Four signals across the full cycle

BRS — Bear market (−20%)

−20% · audit-clean

MBS T1 — Pullback (−5%)

−5% · audit-clean

MBS T2 — Correction (−10%)

−10% · audit-clean

RRS — Recovery (+10%)

+10% · exploratory*

SignalPrecisionAUCRepro
BRS — Bear market (−20%)85.7%0.91Exact
MBS T1 — Pullback (−5%)83.3%0.88Bit-exact
MBS T2 — Correction (−10%)84.4%0.92Bit-exact
RRS — Recovery (+10%)81.8%*0.76Exact

What the audit confirmed

  • ✓Every signal sits far above the permutation-null baseline — genuine signal, not artifact.
  • ✓Benchmarked against three independent alternative learners on identical data — all within a tight AUC band; one scored marginally higher. Results are not algorithm-picked.
  • ✓Three of four signals (BRS, MBS T1, MBS T2) reproduced audit-clean and well-supported on the out-of-sample record.
  • ✓All 35 locked files checksum-verified and matched; four signals reproduced with no divergence.
  • ✓MBS T1 and MBS T2 reproduced bit-exact (~1×10⁻⁸; every one of 154 fire/no-fire decisions).
  • ✓No feature-level label leakage — the predicted month is excluded and features are lagged one month.
  • ✓The Market Break signals degrade gracefully under a 12-month cutoff shift.

⚠ Qualifications — disclosed in full

RRS — real signal, conservative claim. RRS cleared the same chance test, so the signal is genuine. The one caveat is narrow: its 82% was measured on the window used to tune it, so we publish it as a historical upper bound and treat ~69% as the honest prospective estimate. Precision-first · recall ~39% by design.

Small event counts across all signals (67 / 46 / 33 / 23) — bands are wide. No purge/embargo for the 4-month label horizon; BRS reproduced on a locked Layer-1 composite.

* RRS 82% = 9 of 11 fires correct at the locked high-conviction threshold, reproduced exactly. Because the threshold was chosen on the reported window, it is in-sample-optimistic; prospective estimate ~69% (Wilson 95% CI ≈ [0.52, 0.95]). Presented as exploratory pending out-of-sample data postdating the lock.

Full report available to qualified reviewers under NDA on written request to info@cronusmarketintelligence.com.

Independent review of the documented walk-forward methodology and reproducibility of the headline confusion matrices from locked artifacts as of June 3, 2026. Not an opinion on future results; does not validate production deployment; not investment advice. Past statistical results are not indicative of future results.

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