6 macro scenarios built on documented global market data. Conservative β Moderate β Aggressive β Maximum per scenario. All numbers sourced from BIS, DTCC, SWIFT, BCG, Visual Capitalist. Not financial advice.
Academic Foundation
A Fundamental Valuation Framework for Cryptoassets
Robert Mitchnick & Susan Athey Β· June 2018 Β· Stanford GSB
"All models are wrong, but some are useful."
~ George E.P. Box β opening quote of the Mitchnick/Athey 2018 paper
XRP Price (future) = (Daily Volume Γ Latency + Store-of-Value) Γ· Effective Supply
XRP Price (today) = Future Price Γ· (1 + Discount Rate) ^ Years
TX Demand = Volume Γ Latency β XRP "in flight" at any moment
Velocity per day = 1 Γ· Latency β reuse frequency
XRPL settlement = 5 seconds = 0.0000579 days (default for 5-sec mode)
Effective Supply = Circulating β ETF β LTH β Institutional
$4.7Q DTCC annual Γ· 260 trading days = $18.07T/day (onchain 24/5 model)
Why sources matter: Every number in this calculator is documented. $846T derivatives = BIS H2 2025. $4.7Q DTCC = DTCC Annual Report. $326T real estate = Visual Capitalist 2022. $12T FX reserves = IMF COFER. $190T SWIFT = SWIFT official data.
Conservative vs Maximum: The same scenario at different supply assumptions and latency produces results ranging from $50 to $50,000+ per XRP. This is the model's sensitivity β not a prediction. The purpose is to understand which variables matter most.
β οΈ Not Financial Advice β Educational Research Tool Only β DYOR
This is a research platform, not a price prediction tool. Every number shown represents a documented global market β but whether XRP will ever be used to settle those markets is entirely speculative. Small changes in effective supply produce enormous output changes. The "Maximum" scenarios are intentionally extreme β they demonstrate model sensitivity.
Real XRP price depends on market forces, regulatory outcomes, competition, technology adoption, and many factors no model can capture. Never invest more than you can afford to lose.