This Sophon-3 AI model flow starts with the Nasdaq-100 as the asset universe, then runs a single AI model node: Sophon-3 Screener.
The idea is simple: narrow the universe to more interesting candidates and send the results into portfolio construction. This creates a practical workflow where screening and portfolio construction work together instead of as separate steps.
In this template, Sophon-3 Screener uses the data type Total Equity. Total Equity represents the shareholders’ residual claim on the company (assets minus liabilities); it helps describe the balance-sheet cushion and how much value is attributable to owners after debts are accounted for.
This gives the screener a balance-sheet strength lens (how much net value supports the business).
Sophon-3 Screener is an AI model node that continually learns from new market dynamics instead of relying on fixed screening rules. Its role is to filter the Nasdaq-100 toward stocks with stronger potential versus the benchmark.
