Learn SBFF

What is SBFF?

The Structural-Behavioral Footprint Framework (SBFF) is a unified analytical framework for understanding how assets actually behave in markets — not just what they are worth.

Developed by Ali Reza Javadi (ARJ), SBFF bridges the gap between fundamental analysis, behavioral finance, and quantitative methods by decomposing every asset into three primitives: Identity, State, and Footprint.

Why SBFF?

Traditional analysis asks: "What is the fair value?" SBFF asks: "How does this asset behave, and why?" This distinction is critical for traders, financiers, and investors who need to predict future behavior — not just current valuation.

• Fundamental analysts miss behavioral dynamics
• Technical analysts ignore structural identity
• SBFF integrates both through a coherent framework

Identity (I) — The Stable Character

Identity represents the stable, structural features of an asset that don't change with price. For a commodity, this includes supply chain design, storage characteristics, and demand elasticity. For a cryptocurrency, it's the protocol architecture and tokenomics.

Identity sets the envelope of possible behaviors — what the asset is capable of doing.

State (S) — The Dynamic Context

State represents time-varying conditions: inventory levels, positioning, sentiment, policy environment, and capital flows. State determines which behavior within the identity envelope is currently active.

Footprint (F) — The Observable Signature

Footprint is what you actually see: price action, volatility patterns, correlation behavior, options skew, futures basis. It's the output of Identity and State interacting: Ft = F(I, St, Mt).

What are Modifiers?

Modifiers (Mt) are forces that reshape State and therefore change Footprint. They include:

• Supply shocks: mine closures, sanctions, weather events
• Demand shifts: EV adoption changing cobalt demand, industrial slowdowns
• Logistics disruptions: port congestion, shipping lane closures
• Policy changes: interest rate decisions, export restrictions
• Geopolitical events: wars, elections, trade agreements

Modifier Impact Assessment

Not all modifiers affect all assets equally. A sanctions modifier applied to LME Aluminium has a very different impact than the same modifier applied to Bitcoin. Understanding how Identity filters Modifiers is a key SBFF skill.

Why Archetypes?

After mapping hundreds of assets through the I-S-F framework, eight recurring behavioral patterns emerge. These archetypes capture the most common identity-state-footprint combinations across global asset classes.

The 8 Archetypes

• NFA — Negative-Feedback Anchored: Mean-reverting, yield-anchored. Think utility stocks, carry commodities.
• PFD — Positive-Feedback Dominant: Momentum-driven, FOMO-amplified. Growth stocks, crypto bull runs.
• EDVC — Event-Driven Volatility Cluster: Calm between catalysts. OPEC assets, earnings stocks.
• SCR — Sentiment-Correlated Regime: Macro risk appetite driven. EM assets, high-yield bonds.
• ICA — Income-Carry Anchored: Carry-dominant. Backwardated commodities, high dividend equities.
• RSA — Regime-Switching Adaptive: Changes archetype across regimes. Gold is the canonical example.
• PCD — Positioning-Convexity Dominant: Gamma-driven, squeeze-prone. Heavily shorted stocks, options-heavy markets.
• LFD — Liquidity-Fragility Dominant: Thin market, gap-prone. Micro-cap stocks, illiquid commodities.

Why Archetype Matters for Financing

LTV (Loan-to-Value) ratios in commodity finance, structured lending, and project finance should be calibrated to behavioral risk — not just credit metrics. An NFA asset deserves different terms than an LFD asset even if their current prices are identical.

LTV Guide by Archetype

• NFA: 60–75% LTV. Low behavioral risk, stable collateral.
• PFD: 40–60% LTV. High volatility, trend-reversal risk.
• EDVC: 45–65% LTV. Reduced around event dates.
• SCR: 50–65% LTV. VIX-linked dynamic adjustments.
• ICA: 55–70% LTV. Income stream verification required.
• RSA: 55–75% LTV. Regime-classification review monthly.
• PCD: 35–55% LTV. Positioning and gamma monitoring essential.
• LFD: 30–50% LTV. Mandatory daily liquidity haircut.

What is a Regime?

A market regime is a persistent macro environment that defines the dominant behavioral drivers across asset classes. Key regimes include: Risk-On, Risk-Off, Reflation, Deflation, and Crisis.

Regime Indicators

• VIX: < 18 = risk-on, > 25 = risk-off, > 40 = crisis
• DXY trend: Dollar strength/weakness changes EM and commodity behavior
• Credit spreads: IG and HY spread widening signals regime deterioration
• Global PMI: Manufacturing activity signals growth/contraction regimes
• Yield curve: Slope signals growth expectations

SBFF Regime Score

The SBFF Regime Score (0–100) aggregates these signals into a single behavioral pressure indicator. Scores above 70 indicate favorable regime conditions; below 30 indicates stressed conditions.

Beyond Traditional Assets

SBFF is designed to analyze any asset with observable behavioral patterns — including infrastructure contracts, project finance structures, and real estate. These asset types have distinct behavioral signatures that traditional financial models miss entirely.

EPC/EPCF Contract Behavior

Infrastructure contracts typically exhibit EDVC behavior: calm during execution phase, volatile around completion milestones, financing draws, and performance tests. The Identity is dominated by counterparty risk, technical risk, and regulatory environment.

BOT/PPP Concession Analysis

Long-term concession agreements often exhibit NFA or ICA characteristics — anchored by regulated returns and concession terms. State is dominated by traffic/usage volume, political environment, and refinancing conditions.

Financing Implications

Project finance structures should reflect the behavioral archetype of the underlying asset. EDVC contracts warrant event-aware covenant frameworks; ICA concessions support longer tenors and income sweep structures.