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XRP Weekday Trading Share Doubles, Aligning with Banking Hours

XRP Weekday Trading Share Doubles, Aligning with Banking Hours

XRP's share of weekday trading has surged 100%, according to Evernorth, with on-chain activity now lining up with the hours when London and New York banks are open. The jump marks a sharp shift in how the token is being traded, though the report doesn't say who's behind it.

The numbers behind the surge

Evernorth's data shows XRP's weekday trading share doubled, a move that stands out in a market where daily volumes often swing on news. The report doesn't break down the figures further, but the scale of the increase is hard to miss. Weekday trading, as opposed to weekend activity, is typically where institutional money moves.

Why the hours matter

The on-chain activity is now concentrated during London and New York banking hours. That's a specific window—roughly 8 a.m. to 5 p.m. in both time zones, with a few hours of overlap. The timing is notable because it mirrors the schedule of traditional financial institutions, not the round-the-clock rhythm of retail crypto traders.

That alignment doesn't prove who's buying or selling, but it does suggest a professional schedule. Retail traders tend to spread activity across evenings and weekends. A tight cluster around banking hours points to desks that operate on a 9-to-5 clock.

What the data doesn't say

Evernorth's report is light on context. It doesn't mention specific exchanges, regions, or the size of the trades behind the surge. It also doesn't say whether the pattern is new or just more pronounced. The company's data covers weekday trading only, so there's no word on whether weekends show a similar shift.

The timing could be tied to cross-border payment use, a common narrative around XRP, but the report doesn't make that connection. It simply lays out the numbers and the hours.

An open question

The big question is whether this is a one-off spike or a lasting trend. Evernorth's next update will show if the weekday concentration holds. Until then, the data offers a snapshot—a token trading like a bank's workday, even if the reason remains unclear.