A software engineer and vocal member of the XRP community just dropped a detailed thread explaining why XRP’s price needs to reach triple digits (and possibly much higher) for the token to function at institutional scale.
Vincent Van Code, who often breaks down technical aspects of the XRP Ledger, posted an analysis comparing meme coin economics to XRP’s actual utility. His argument is simple: XRP isn’t a burn-and-pump token. It’s a liquidity powerhouse.
Van Code starts by pointing out how meme coins work. They burn supply, hoping scarcity pushes price higher. That model works for speculation but does nothing useful for the global financial system.
XRP works differently. It thrives on liquidity and usage. Higher price combined with controlled supply creates massive scaling power. The token’s true value comes from enabling instant, low-cost liquidity for global payments.
- The Math Behind $1,000+ XRP
- Why XRP Price Matters for Big Flows
- The $27 Trillion Opportunity
- Fast Velocity, Virtuous Cycle
The Math Behind $1,000+ XRP
Here’s where Van Code gets into the numbers.
XRP has a fixed total supply of 100 billion tokens. Tiny burns from transaction fees remove a small amount over time, but the supply stays relatively stable. There’s no fiat-style inflation printing new tokens into existence.
Ripple’s On-Demand Liquidity (ODL) sources real-time liquidity without requiring pre-funded foreign accounts. That alone unlocks massive trapped capital.
Van Code walks through a real example:
A US company needs to send $100,000 to a supplier in Thailand, who needs Thai Baht.
The traditional way takes 2-5 days through banks. The company has to pre-fund foreign accounts, locking up capital. Fees run 3-6%.
The XRP/ODL way works like this:
- USD converts to XRP through exchange liquidity
- XRP sends across the XRP Ledger in 3-5 seconds for about a penny
- XRP converts instantly to Thai Baht and hits the supplier
No pre-funding. Capital stays free. Costs cut up to 60%.
This isn’t theoretical. It’s already happening in corridors like Japan to Philippines and US to Latin America through partners like Bitso. Ripple Payments has processed over $100 billion in total volume across 60+ markets as of March 2026.
Why XRP Price Matters for Big Flows
Van Code then drops the key insight: higher XRP price means better liquidity for massive payment flows.
If XRP price stays low, huge payments would need trillions of tokens. That’s impossible with a 100 billion supply.
But if XRP price climbs higher, each token carries more value. Fewer tokens needed to move the same amount of money.
He gives a striking example:
Imagine a $1 trillion payment.
- At $1 per XRP, you’d need 1 trillion tokens. Unrealistic. That’s 10 times the entire supply.
- At $2,000 per XRP, you’d only need 500 million tokens. Completely feasible.
This is why analysts who model XRP for institutional scale often land at $1,000 or higher. Global forex markets trade trillions daily. If XRP ever replaces SWIFT or handles significant cross-border volume, the price needs to support that throughput.
Read also: Chinese DeepSeek AI Predicts the Price of XRP and Pi Coin if the U.S. and Iran Agree to a Ceasefire
The $27 Trillion Opportunity
Van Code points to the massive trapped capital sitting in pre-funded accounts globally; an estimated $27 trillion. Money sitting idle just to facilitate future payments.
XRP’s model unlocks that capital. When you don’t need to pre-fund accounts, that money can actually work.
The escrow mechanism keeps supply predictable. Since 2017, 55 billion XRP have been locked in escrow. Each month, 1 billion releases, but 60-80% typically gets re-escrowed. This prevents dumps and supports steady market-making and adoption.
Fast Velocity, Virtuous Cycle
Van Code also mentions token velocity. XRP moves fast. Each transaction settles in seconds. That speed means the same tokens can be used again and again throughout the day.
Fast velocity combined with real utility creates a virtuous cycle. More usage drives demand. Demand supports price. Higher price enables bigger flows. Bigger flows drive more usage.
