Question 1

What is Q72?

Accepted Answer

Q72 is a portfolio optimization platform for independent wealth managers, family offices, and institutional investors. It runs the same asset universe and constraints through four portfolio construction methodologies — Q72 Confidence Alpha, Markowitz, Risk Parity, and Black-Litterman. The twelve classical portfolio outcomes are evaluated with walk-forward out-of-sample validation. An optional quantum-assisted refinement applies only to Q72 Confidence Alpha and is reported separately.

Question 2

How is Q72 different from Sharpe-based tools like Bloomberg PORT or BlackRock Aladdin?

Accepted Answer

Q72 Confidence Alpha combines confidence-weighted forecasts, CDaR risk control, and correlation-aware selection. Markowitz, Risk Parity, and Black-Litterman remain independent reference methodologies under the same mandate and constraints. Q72 evaluates the twelve classical portfolio outcomes with walk-forward out-of-sample validation instead of relying only on in-sample metrics.

Question 3

Who is Q72 for?

Accepted Answer

Q72 is designed for independent wealth managers, family offices, RIAs (Registered Investment Advisers), and institutional investors who need validated, side-by-side comparison of multiple optimization methodologies rather than a single black-box recommendation. It is a B2B SaaS platform — not available to retail or consumer investors.

Question 4

What optimization methods does Q72 use?

Accepted Answer

Q72 compares four portfolio construction methodologies under the same mandate and constraints: Q72 Confidence Alpha, Markowitz mean-variance, Risk Parity, and Black-Litterman. The three reference methodologies retain their own independent logic and do not receive Q72 Confidence Alpha pre-weighting. Quantum is not a fifth methodology; it is an optional two-stage refinement of Q72 Confidence Alpha on real quantum hardware.

Question 5

How is Q72's quantum refinement evaluated?

Accepted Answer

The twelve classical portfolio outcomes are evaluated with genuine walk-forward out-of-sample validation. The optional quantum refinement is assessed separately: a quantum candidate is retained only when it improves the same Q72 objective without increasing volatility, otherwise Q72 Classic remains. Any historical quantum performance figure is labelled as a replay of the final live weights, not as a walk-forward out-of-sample track record.

Question 6

Does Q72 store client data?

Accepted Answer

Portfolio calculations require ticker symbols, capital amounts and allocation inputs, not end-client names or account numbers. Q72 also processes professional account, billing and support data, and consented analytics as described in its Privacy Policy. Results are scoped to the professional account.