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ODL detection methodology: transactions classified as theoretically ODL-relevant when XRP purchased at a known origin exchange is sent across the XRPL and sold at a known destination exchange within ~60 seconds. Classification is estimated — not officially confirmed by Ripple. Methodology adapted from Utility-Scan (2019–2022). Corridor volume proportions: Ripple confirmed Q1 2026 ODL at >$35B annual run-rate (41% YoY increase, source: Ripple Q1 2026 report via Phemex, May 2026); LATAM now the leading growth corridor. Per-corridor breakdowns are estimated proportionally — Ripple does not publish corridor-level data. Ripple now operates over 70 active corridor pairs as of 2025–2026, covering an estimated 80% of major global remittance corridors. Small intraday volume variance (±4%) is applied at each refresh to reflect normal fluctuation around the daily average. No 24h change percentage is shown — we have no real-time delta data source and displaying invented figures would be misleading.

Nostro displacement = estimated annualised ODL volume × (3 days / 365). The 3-day figure represents the average pre-funding horizon for traditional correspondent banking; ODL reduces this to seconds, freeing the daily float. ODL volume basis: Ripple confirmed Q1 2026 ODL at >$35B annualized run-rate (41% YoY increase, LATAM corridor leading), per Ripple Q1 2026 update reported by Phemex (May 13, 2026). This supersedes the 2024 $15B confirmed baseline. DAS Research confirmed Q2 2025 ODL at ~$1.3B for that quarter. Per-corridor breakdowns are estimated proportionally — Ripple does not publish official corridor-level data. This model is illustrative.

Settlement stack table: Scenarios and parameters aligned exactly with the calculator page. Formula: Required price = peakTicket × (σ ÷ tol)² ÷ turnover ÷ circulating supply. Central estimate uses 1% daily turnover (hybrid OTC/public execution, mid-case from Part I). Range: low bound at 1.5% turnover, high bound at 0.3% turnover (deep OTC). Each scenario uses its own volatility and tolerance as shown in the calculator. Updates with live price and supply every 60 seconds. Source: Part IV · Part V.

Collateral capacity = live market cap × 10% (conservative institutional haircut on total float). Velocity index = 24h spot volume ÷ market cap — higher ratios indicate speculative turnover; lower ratios indicate deeper OTC execution. Volume source: CoinGecko spot exchanges. The reflexivity argument was first formalised for XRP as a bridge asset in Part III of this series.

Quadrant placement derived from observable market signals mapped to the two-axis framework in Part VI. Axis 1 assessed from G20 progress reporting, corridor count, and ODL volume trend. Axis 2 assessed from ODL adoption rate among RippleNet institutions, RLUSD vs. XRP corridor split, and ETF inflow sustainability. This is an analytical framework, not a prediction. Source: Part VI — The case against, taken seriously.