Model A — Cost • Carry • Scarcity
Anchors price to marginal extraction cost percentile, storage & financing, inventory‑linked convenience yield, and risk premium.
SignalAI measures the deviation between economic fair value and market price using two transparent models—then turns that gap into a tradable, explainable score.
Built by Applied AI Ventures — AI for interpretation, not prediction.
An explainable signal layer that sits on top of existing data terminals. We don’t replace Bloomberg — we measure what it doesn’t: the behavioral distance between cost‑anchored fair value and price.
Anchors price to marginal extraction cost percentile, storage & financing, inventory‑linked convenience yield, and risk premium.
Backs out a fair spot from the term structure F·e^{-(r+u-y)T}
, then layers volatility and basis. Transparent, auditable, fast.
Deviation becomes a normalized Signal Alpha score (−100…+100). Drill down to factor contributions and historical outcomes.
Ingest spot, futures, rates, storage, inventories, and extraction cost curves. Compute Model A & B fair values.
Score the gap between model and market. Overlay regime detection and volatility‑adjusted risk premia.
Extend with vertical features — OPEC quotas, ETF flows, hash‑rate, governance. Unified scale, interpretable layers.
Consume via JSON/CSV API or dashboard. Set thresholds for extreme mispricing and receive email/webhook alerts.
Size trades by distance from fundamentals. Identify crowded narratives vs. cost‑anchored reality.
Monitor convenience yield, basis, and inventory tightness with a single drift metric.
Bridge crypto to macro with a transparent, cross‑asset valuation anchor. Interpret, don’t speculate.
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For illustration only. Not investment advice.