Every S&P 500 forecast combines three components: the time-independent Schrödinger equation, which inverts a ticker's historical price distribution into a market potential, a Feynman path-integral Monte-Carlo simulation that enumerates and weighs many plausible price paths under that potential, and an ML market-conditions classifier that detects risk-on / risk-off / transitional conditions and scales the forecast distribution accordingly. The 5th and 95th percentiles of the resulting path ensemble form the 90% confidence (CI90) band shown on every ticker page and exposed via the API.
A calibrated 90% confidence band per forecast horizon, a market-conditions-aware BUY / WAIT / AVOID / EXIT signal, and a risk-first entry, stop, and take-profit plan — for every S&P 500 ticker, as a dashboard and as JSON via a public API and MCP server. Hyped AI/quant topics mapped honestly to what's actually running: see the AI Lab.
Educational research only — not investment advice.