Who built this, what data we use, and how the SBFF framework works.
Independent researcher and framework designer with a background in commodities, structured finance, and behavioral economics. The SBFF (Structural-Behavioral Footprint Framework) is a proprietary analytical system developed over several years of observing how macro regimes interact with asset-level financing behavior.
SBFF maps each asset to one of eight behavioral archetypes based on three analytical axes: Identity (what the asset structurally is), State (its current macro regime positioning), and Footprint (how it behaves in financing and liquidity environments). Unlike price-based models, SBFF describes why an asset behaves as it does.
SBFF is not a trading signal, a price prediction tool, or a replacement for quantitative risk models. It is a behavioral intelligence framework — a structured way to describe an asset's position in the capital cycle, useful for positioning context, stress testing, and portfolio construction logic.
Classifies what the asset structurally is — commodity, financial instrument, protocol, real asset — and how it is financed at the structural level.
Determines where the asset sits in the current macro cycle: expansion, compression, stress, or transition.
Describes how the asset behaves in credit, liquidity, and risk-on/off environments — its observable pattern in financing conditions.
All SBFF classifications are derived by the framework designer through structured analysis of public market data. There is no proprietary feed or real-time data API. Data inputs include:
Disclaimer: ARJ Finance and the SBFF framework are for informational and intelligence purposes only. Nothing on this platform constitutes investment advice, a solicitation, or a recommendation to buy or sell any financial instrument. All analysis reflects the framework designer's interpretation of publicly available data. Past behavioral classifications do not guarantee future behavior.