The feedback arrived in two parts. First: FASB ASC 350-60, now mandatory for all US GAAP entities as of January 2025, incentivizes corporate XRP holding by replacing the old impairment-only accounting model with fair value mark-to-market. As corporations accumulate XRP on their balance sheets, the effective circulating float shrinks dynamically — call this S_eff — even if nominal circulating supply is unchanged. A smaller S_eff at constant demand requires a higher price. The series never models this. Second: HFT firms and AI agents on institutional venues like LMAX turn XRP at extreme velocity, effectively multiplying demand density beyond what single-ticket sizing captures.
These are structurally different arguments and they deserve different verdicts.
FASB ASC 350-60 and effective supply compression
The accounting change is real and the series should have addressed it
Under the accounting rules that governed corporate crypto holdings before 2025, holding XRP was asymmetric and painful. A company that bought XRP at $2.00 and watched it fall to $1.00 had to write it down permanently — with no ability to reverse the loss even if the price recovered. But if XRP rose to $3.00, the gain was invisible until the position was sold. The accounting itself discouraged holding.
FASB ASC 350-60, effective January 1, 2025 for calendar-year entities, eliminates this asymmetry entirely. XRP — which explicitly qualifies as a fungible, cryptographically secured intangible asset under the standard — must now be marked to fair value at every reporting date, with gains and losses flowing through net income. The friction that previously made XRP an awkward balance sheet entry is gone.
The data shows this friction was real: corporate XRP treasury commitments have grown from approximately $200 million in early 2025 to over $2 billion by January 2026, spanning eight public companies including Trident Digital ($500M target), Webus International ($300M), and VivoPower ($100M executed). Evernorth has incorporated as a publicly traded XRP treasury company under ticker XRPN. ETF custodians hold over 700 million XRP. Exchange balances are declining as holdings migrate into custody.
The user's S_eff argument is structurally sound. The series uses circulating supply — approximately 61.7 billion XRP — in the denominator of the required-price formula. But circulating supply is not the same as the float actually available for settlement execution. As ETF custodians, corporate treasuries, and lending vaults grow, the float available for ODL market makers shrinks. A smaller executable float at constant settlement demand requires a higher price to clear.
The series uses S_circulating throughout. S_eff is meaningfully smaller and shrinking.
Not all locked supply compresses S_eff equally — XRP deployed in lending protocols
remains ecosystem-productive and accessible to ODL flows.
Where the argument needs to be qualified
The mechanism is real. The current magnitude is modest. At roughly $2 billion in committed corporate treasuries against an $87 billion market cap, and ETF custody of approximately $1.5 billion, locked-up supply represents around 4% of market cap — meaningful but not yet large enough to materially shift the required-price calculations. The S_eff compression is a direction, not yet a magnitude.
More importantly, not all locked supply compresses S_eff equally. XRP deployed by Evernorth into the XRPL lending protocol adds to ODL-accessible liquidity — it is in the ecosystem, earning yield, available to be borrowed and deployed. The adjustment requires distinguishing between XRP truly removed from circulation and XRP deployed in ecosystem roles that keep it productive. As corporate treasury accumulation scales — which ASC 350-60 actively encourages — this distinction will become increasingly material to the required-price calculation.
HFT velocity recycling
The conflation that needs to be unpacked
There are two distinct phenomena inside the HFT velocity argument. They have opposite implications for the series' framework, and the reader's formulation runs them together.
Phenomenon one: ODL settlement recycling. This is the version of the argument that is analytically valid. When XRP is used as a bridge asset in an ODL settlement flow — purchased in the source currency, transmitted across the XRPL in 3–5 seconds, sold in the destination currency — the entire cycle completes in seconds. In principle, the same XRP can then be immediately purchased again to settle the next payment in the same corridor. At institutional settlement volumes, this recycling means a given stock of XRP can support a flow of settlement notional that exceeds the stock at any given moment. This is the correct version of the velocity argument — and it genuinely does mean the series' single-ticket model understates settlement capacity per unit of XRP.
Phenomenon two: HFT trading velocity. This is the version invoked with LMAX, and it is a different thing entirely. An HFT firm on LMAX might open and close an XRP position 10,000 times per day. That generates substantial trading volume. But it does not generate settlement demand in the ODL sense. Each round-trip trade is a speculative or arbitrage position — the firm buys and immediately sells, generating volume without any underlying payment flow that the XRP is bridging. HFT trading activity adds to V in the formula — deepening available spot depth — but it does not represent recycling that multiplies settlement capacity.
HFT trading velocity adds to V — deepening available spot depth. But it does not represent the kind of recycling that multiplies settlement capacity. These are different mechanisms with different implications for the required price.
There is a further complication. Ripple's $150 million investment in LMAX specifically integrates RLUSD — not XRP — as the core collateral asset across LMAX's institutional platform. The velocity story on LMAX is largely a RLUSD velocity story, not an XRP velocity story.
The settlement recycling argument: valid but bounded
ODL settlement recycling does represent a dimension the series has not fully modeled. The single-ticket framework asks what XRP depth is required to execute a single peak-ticket payment at acceptable slippage. It does not ask how many such payments can cycle through a given depth per unit of time.
The answer is not unlimited. Settlement recycling is constrained by the 3–5 second XRPL settlement finality window. A given unit of XRP can participate in at most roughly 15,000–20,000 settlement cycles per day at full ledger throughput — far fewer in practice. The true settlement capacity per unit of XRP liquidity sits between the static single-ticket model and unlimited recycling, and the series should acknowledge it has not precisely located that point.
Verdict on both arguments
FASB ASC 350-60: Acknowledged as a genuine, unmodeled price driver. Corporate treasury accumulation is compressing S_eff below S_circulating. Currently modest; accelerating in direction. The series' denominator should be understood as an upper bound on available float, not a precise measurement of executable supply.
HFT velocity: ODL settlement recycling is a valid and understated dimension of the series' single-ticket model. HFT trading velocity on institutional venues is a different phenomenon — it adds to market depth (V), which benefits settlement capacity, but is not itself a settlement multiplier. The LMAX integration is RLUSD-centric, not XRP-ODL-centric. Both effects are noted; only the settlement recycling point is accepted as a gap in the settlement-capacity model.