The full AAM metric — seen from six lenses.

qRISK is the unit-domain risk measure that aligns with the AAM thesis. Dollar-VaR is misleading for accumulation strategies — a 30% USD drawdown in a bear market may have lost zero asset units (cash converted to more units at the bottom). qRISK directly measures the unit exposure: how many SOL, ETH, or BTC could the strategy actually lose if adverse scenarios materialise. The metric forces honest accounting in unit terms.

• Aligned with AAM thesis — measures risk in the same unit (asset quantity) the framework optimises for.
• Prevents dollar-VaR misdirection during regime transitions where dollar and unit risks diverge.
• Cross-asset comparable in stack-sizing terms (X% of holdings at risk).
• Treasury-relevant — institutional treasury operations think in unit holdings, not dollar exposure.

• Per-strategy real-time exposure tracking
• Treasury-wide qRISK aggregation for institutional dashboards
• Position-sizing inputs for the Risk Agent
• Cross-strategy risk-budget allocation

qSORTINO is the institutional translation of AAM accumulation. Where qRATIO uses max DD% (a single event), qSORTINO uses semi-deviation of downside returns (a distributional measure) — the framing institutional investors learn first. By using qMULTIPLE rather than dollar return as the numerator, qSORTINO preserves the AAM unit-domain primacy while speaking the institutional language.

• Institutional-translation layer — communicates AAM in Sortino vocabulary that LPs already use.
• Distributional risk-adjustment (semi-deviation) — captures recurring downside, not just worst-case.
• Differentiated from qRATIO — same accumulation, two different risk denominators; the divergence is informative.
• Patent positioning — "asset-quantity-domain Sortino" is a defensible niche claim.

• Institutional reporting (LP digests)
• Strategy comparison alongside qRATIO
• Frontier construction (plotting qSORTINO vs. qRATIO)
• Allocation research (which downside framing predicts forward outcomes better?)

qMULTIPLE is the integrity anchor of the metric family. aRATE% uses the equivalent-quantity method — it converts held cash back to asset before computing the ratio. Correct as a return measure, but it entangles physical accumulation with favourable cash timing. qMULTIPLE strips cash-timing out and reports only the pure unit-accumulation. In a philosophy whose central claim is "we measure in asset quantity, not dollar returns," qMULTIPLE is the metric most directly reflective of that claim.

• Cash-neutral comparison — two strategies with identical aRATE% but different qMULTIPLE differ in actual physical accumulation.
• Bear-market honesty — aRATE% compresses as price falls (cash converts to more nominal quantity, flattering returns); qMULTIPLE is immune.
• Communicable in one sentence — "my ETH stack is 18.55× what I started with" needs no training.
• Patent distinctness — pure-quantity, price-independent; complements aRATE% rather than duplicating it.

• Portfolio reporting hero number; aRATE% demoted to secondary
• Cross-asset ranking without volatility distortion
• Strategy promotion gate (qMULTIPLE ≥ 2.0× for shadow→live)
• Public proof-of-performance (token economics, retail trust)

qRATIO is the Calmar Ratio of accumulation — qMULTIPLE in the numerator, max drawdown in the denominator. It answers the question every institutional allocator asks: "for the risk this strategy demanded, was the accumulation worth it?" Two strategies with identical qMULTIPLE but vastly different DD% are not equivalent investments, and qRATIO is the metric that makes the difference legible.

• Survivability proxy — high qRATIO = result produced without catastrophic drawdown. Better candidate for leverage.
• Institutional translation — maps cleanly to Sharpe/Sortino/Calmar that institutions already use.
• Hidden-risk disclosure — two strategies with qMULTIPLE 10× can have very different qRATIO if one endured 60% DD%.
• Rejects one-trade-wonder strategies that capture one move then stagnate (typically high intra-trade DD%).

• Treasury capital tilting — primary sort key above aQUALIFY threshold
• Shadow→live promotion gate (cleaner than fixed DD% cutoff)
• Peer-group benchmarking vs external DeFi vaults & hedge funds
• Leverage eligibility — only sustained-high-qRATIO strategies

qCYCLE measures per-cycle marginal compounding lift. Where qMULTIPLE is the cumulative outcome ("how much have we accumulated overall"), qCYCLE is the cycle-level derivative ("is each cycle still adding accumulation efficiency, or has the strategy plateaued?"). qCYCLE > 1.0 means super-linear compounding — the Snowball Effect is active. qCYCLE < 1.0 means sub-linear — by the time qMULTIPLE flattens, you have already lost months.

• Earliest possible Snowball-Effect signal — detects activation or decay weeks before qMULTIPLE flattening makes the problem visible.
• Critical for long-cycle strategies — quarterly-cycle strategies that show qMULTIPLE plateau have already wasted two quarters; qCYCLE catches the inflection while there is still time.
• Snowball Effect operationalisation — without qCYCLE the Effect is a thesis; with it the Effect is a measured property.
• Strategy-retirement trigger — qCYCLE < 1.0 across two consecutive cycles flags the strategy for retraining.

• Strategy parameter-retraining trigger
• Cycle-level performance review (which cycles contributed most?)
• Snowball Effect proof-of-claim metric
• Strategy retirement decision input