【data driven crypto quant trading platform solution】

Ripple on data driven crypto quant trading platform solutionThursday introduced native digital asset capabilities inside its enterprise treasury management system, letting corporate finance teams hold, view and manage XRP and RLUSD alongside traditional fiat balances for the first time within a single platform.\n\nThe two features, called Digital Asset Accounts and Unified Treasury, are built on GTreasury, which Ripple acquired in 2025. That system processed $13 trillion in payments volume last year for clients ranging from small businesses to Fortune 500 companies. The digital asset layer adds to that existing infrastructure rather than replacing it.\n\nDigital Asset Accounts let treasury teams create a Ripple-native digital asset account inside the platform. Balances in XRP, RLUSD, and other supported tokens appear alongside cash positions with real-time fiat valuations using live exchange rates.\n\nTransactions are recorded automatically with native notional amounts, fiat equivalents, and market price at the time of each event, creating an audit trail without manual entry. The system captures balances at 15-decimal precision to match on-chain accuracy and eliminate rounding discrepancies that cause reconciliation problems.\n\nUnified Treasury connects digital asset holdings from multiple external custodians through the same API connectivity layer Ripple Treasury already uses for bank integrations.\n\n"Digital assets have arrived at the CFO's desk, and the question has shifted from whether to engage to how to do so without disrupting existing operations," said Renaat Ver Eecke, SVP at Ripple Treasury.\n\nThe launch positions Ripple Treasury ahead of competing TMS providers, none of which currently offer native digital asset management.\n\nRipple said the two features are the first in a broader digital asset framework that will expand to cross-border settlement, intercompany payments, and overnight yield on idle cash through repo markets, all powered by stablecoins.

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