Quantum finance: can quantum mechanics forecast stocks?

Status: core — live in production. No qubits: Quantustik borrows the math of quantum mechanics — the Schrödinger equation and Feynman path integrals — to model S&P 500 price paths as a probability distribution, layered with an ML market-conditions classifier. It does not run on quantum hardware, and the formalism is a modeling choice, not a claim of special power. Full methodology: capabilities & methodology.

Is it actually calibrated?

We hold ourselves to a pre-registered [85%, 95%] tolerance around the 90% target — our own tolerance, not an external or industry standard — and report honestly when a start date sits outside it, which some do at 3-month, 6-month, 1-year. No single averaged figure is published, at any horizon: the answer depends heavily on when the forecast started, and the windows overlap at 6 months and 1 year, so an average would claim a precision this measurement does not have. Individual windows are worse still. These are coverage figures, not a directional hit-rate, and not a claim that the model makes money. Full figures: calibration page.

Educational research only — not investment advice.