Pick an amount and a risk tolerance, and the engine builds an illustrative model allocation from top-ranked stocks using alpha-tilted inverse-volatility weighting (Treynor-Black 1973, the same logic Bridgewater uses in All Weather for $150B AUM). Per-position cap, per-sector cap, minimum position size — all institutional standard. It's a research illustration, not investment advice.
The optimizer turns your inputs into a personalised allocation, so it lives behind a free account — a research illustration, not investment advice. The methodology below is open to everyone.
We balance the portfolio so volatile stocks get smaller positions and steadier ones get bigger. On top of that, we tilt slightly toward the names the engine ranks as the strongest buys.
What this means for you: a smoother ride than blindly putting equal dollars into every pick, with the same upside potential — because the engine's top picks still drive most of the return. Real-money use needs a 30-day paper-trade run first; see Virtual Portfolio.
Each candidate gets a raw weight proportional to its expected alpha divided by its volatility — that's the Treynor-Black ratio: more return per unit of risk = more room in the portfolio. Then the constraints kick in: