About TrueVerdikt

TrueVerdikt is an independent quantitative finance, Canadian wealth modeling, and statistical backtest-auditing platform (contact@trueverdikt.com), built to bring institutional mathematical and actuarial rigor to self-directed investors and quantitative researchers.

Why TrueVerdikt

Most impressive backtests don't survive contact with live trading: data-snooping, overfitting, missing purged cross-validation. TrueVerdikt applies the same statistical safeguards quant funds use (Deflated Sharpe Ratio, Kelly-criterion position sizing, stress-tests) to your own strategies, without unnecessary jargon.

Contact

General inquiries: contact@trueverdikt.com · Editorial board & formula auditing: editorial@trueverdikt.com · Customer support & billing: support@trueverdikt.com · Data Protection Officer (GDPR & Law 25): privacy@trueverdikt.com.

Academic Foundations & Regulatory Frameworks

Every calculator and auditing algorithm deployed on TrueVerdikt directly implements equations from peer-reviewed financial literature and primary statutory frameworks:

Anti-Overfitting Statistical Validation (Quant Lab)

Bailey & López de Prado (2014), Journal of Portfolio Management · López de Prado (2018)

Computation of the Deflated Sharpe Ratio (DSR) adjusted for non-normality (skewness, fat tails) and multiple testing bias, paired with Combinatorial Purged Cross-Validation (CPCV) and fractional Kelly sizing.

Canadian Mortgage Actuarial Science & Stress Testing

Interest Act of Canada (R.S.C., 1985, c. I-15, s. 6) · OSFI Guideline B-20 · CMHC

Exact conversion of semi-annually compounded nominal rates into equivalent periodic rates, tiered CMHC default insurance schedules (25- and 30-year amortizations), and the 5% Rule of unrecoverable ownership costs.

Registered Tax Arbitrage & Mutual Fund Fee Transparency (MER)

Income Tax Act (CRA / Revenu Québec) · CSA National Instrument 81-101 (CRM2 / TCR)

Mathematical tax arbitrage across RRSP, FHSA ($40,000 cap), and TFSA using combined federal-provincial marginal tax brackets, alongside compound fee-erosion modeling (Series A vs. Series F vs. TSX ETFs).