ChatGPT Predicts XRP Price Based on $17 Billion in New ETF Purchase Demand Over Next 12 Months

Rob Cunningham outlines a striking scenario: seventeen new ETFs, each allocating $1 billion to XRP within a year, would create $17 billion in focused buy-side demand. Starting from a $3 price and an estimated tradable float of only about 5 billion XRP, this framework tests how the market might respond when committed institutional capital exceeds the available liquid supply.

Cunningham’s analysis sets a clear stage for understanding potential price dynamics. Price-Discovery Mechanics At $3 per XRP, $17 billion could purchase roughly 5.

67 billion tokens—already exceeding the estimated 5 billion liquid float. This makes a higher clearing price inevitable.

If every one of those 5 billion XRP were instantly liquid, a simple division suggests a $3. 40 floor.

Real markets, however, are far from that straightforward. Sellers are price-sensitive, large orders thin out order books, and each additional XRP becomes increasingly scarce as buying pressure builds.

These factors mean prices would rise far more steeply than a basic calculation implies. First, I asked ChatGPT to forecast an XRP price target based solely on $17B in new ETF purchase demand (~$1B per ETF) over the next 12 mos.

Secondly, I asked ChatGPT to add a FOMO Factor that considers regulated banks, stock brokers, registered investment advisors and retail… pic. twitter.

com/6l7aJmrvOf — Rob Cunningham | KUWL. show (@KuwlShow) September 14, 2025 ETF-Only Equilibrium Ranges When tradable supply is treated as a fraction of the 5 billion float, clear outcome bands emerge.

If a substantial share of the float remains willing to trade, heavy ETF buying could be absorbed at only a modest premium. But if just 10–30% of the float is truly available without severe slippage, the same $17 billion demand could drive prices well into the double digits.

Cunningham’s elasticity estimates place conservative ETF-only targets in the low double digits, while moderate inelasticity supports mid-double-digit prices, and extreme scarcity could push valuations much higher. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 Reflexive FOMO and Systemic Scale Cunningham’s key second-order insight is reflexive demand.

ETFs establish a benchmark that can entice banks, registered investment advisors, and retail investors—groups with capital pools far larger than $17 billion. Even a fraction-of-a-percent allocation from these sources would dwarf the ETF inflows and rapidly outstrip the limited tradable float.

In that scenario, a $17 billion spark could ignite a sustained repricing of XRP as new capital competes for a shrinking supply. In conclusion, Seventeen ETFs committing $17 billion in a single year would do more than shift short-term order flow; they would create a structural catalyst for broader institutional participation.

Applying Cunningham’s framework to current on-chain liquidity and Ripple’s escrowed balances shows why double-digit XRP prices are a realistic outcome under ETF-driven pressure, with significant upside if reflexive demand follows. His analysis demonstrates how concentrated institutional buying, aimed at a constrained float, can propel an asset far beyond simple linear projections.

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