
On-chain analytics firm CryptoQuant says recent market data points to contrasting dynamics among major cryptocurrencies, with large XRP spot orders suggesting “quiet accumulation” and ether (ETH) trading below its realized value, a condition that leaves many holders at a loss and, by the firm’s assessment, gives ETH the strongest valuation case relative to bitcoin (BTC) and XRP.
XRP Order Flow Signals Accumulation
CryptoQuant observed sizable spot buy orders in XRP, which it characterizes as evidence of steady accumulation rather than an imminent breakout. Such order flow typically reflects participants building positions over time instead of chasing momentum, indicating a more measured market posture for the token used in Ripple’s cross-border payments ecosystem.
Ether Trades Below Realized Value
The firm noted that ETH is trading below its realized value—often defined as the average on-chain cost basis of coins held, derived from realized capitalization divided by circulating supply. When market price sits under this level, a significant share of holders is likely underwater on their positions. According to CryptoQuant, this dynamic supports ETH’s relative valuation case versus BTC and XRP at current levels.
Relative Valuation Among BTC, ETH, and XRP
Comparing the three largest assets by market presence—BTC, ETH, and XRP—CryptoQuant’s analysis suggests:
- XRP: Large spot orders indicate accumulation, implying a constructive but subdued near-term tone rather than a technical breakout.
- ETH: Pricing below realized value highlights holder losses on average, which the firm views as strengthening ETH’s valuation appeal among the trio.
- BTC: While not flagged as below realized value in this analysis, bitcoin remains the benchmark asset for market structure and liquidity.
Why It Matters
Realized value metrics and order book signals provide insight into investor positioning and market sentiment beyond price alone. Accumulation phases can precede trend shifts over longer horizons, while trading below realized value often marks stress points—or potential value zones—depending on broader macro and crypto-specific conditions.