A sharp debate has opened inside the XRP community over whether the token could ever reach the kind of eye-popping prices some enthusiasts imagine. Numbers and theory are being thrown around. Practical limits are being argued right back.
That total would more than double the market cap of gold and top many of the biggest assets on earth. Some analysts use that math to say such prices are not realistic any time soon.
Their argument rests on a basic idea — money supply and valuation interact, and extreme price targets imply extreme market value.
Based on reports from that stage, he told a journalist that XRPL’s future depends more on liquidity than on messaging alone.
I keep telling everyone, the problem crypto solves is liquidity.
You can’t print more money to create liquidity, that will just collapse fiat.
Software engineer Vincent Van Code pushed a contrasting view. According to Van Code, XRP should be judged as a tool that can move liquidity around, not as an asset that must be fully cashed out into fiat to matter.
He proposed that, at a $10,000 price, XRP could unlock more than $800 trillion in liquidity. Van Code used an analogy likened to a logarithmic decay to explain why converting that liquidity to cash would not simply crash markets.
His point: market mechanics and swap processes could expand usable liquidity without requiring a one-to-one conversion into existing money supplies.
Easily, because it is just a “swap” or bridge token.
Liquidity in FX is more about available trading pairs than simply loads of currency. Further, where that liquidity is sitting in crucial.
Your point is more related to economic and monetary policy, which is vastly different…
Other market participants have pushed back. They note that central banks control liquidity through tools like QE and QT, and that broader money measures such as M2 keep changing.
Reports show M2 has continued to grow over time in many countries. Those critics ask why governments would hand over control of liquidity to a neutral digital token.
They also warn that the math Van Code uses assumes wide adoption, large trading pairs, and guaranteed counterparty trust — all hard to achieve.
Featured image from Gemini, chart from TradingView
