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 ￰0￱ 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 ￰1￱ makes a higher clearing price ￰2￱ every one of those 5 billion XRP were instantly liquid, a simple division suggests a $3.40 ￰3￱ markets, however, are far from that ￰4￱ are price-sensitive, large orders thin out order books, and each additional XRP becomes increasingly scarce as buying pressure ￰5￱ 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… ￰6￱ — Rob Cunningham | ￰7￱ (@KuwlShow) September 14, 2025 ETF-Only Equilibrium Ranges When tradable supply is treated as a fraction of the 5 billion float, clear outcome bands ￰8￱ a substantial share of the float remains willing to trade, heavy ETF buying could be absorbed at only a modest ￰9￱ 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 ￰10￱ 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 ￰11￱ establish a benchmark that can entice banks, registered investment advisors, and retail investors—groups with capital pools far larger than $17 ￰12￱ a fraction-of-a-percent allocation from these sources would dwarf the ETF inflows and rapidly outstrip the limited tradable ￰13￱ that scenario, a $17 billion spark could ignite a sustained repricing of XRP as new capital competes for a shrinking ￰14￱ 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 ￰15￱ 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 ￰16￱ analysis demonstrates how concentrated institutional buying, aimed at a constrained float, can propel an asset far beyond simple linear ￰17￱ : This content is meant to inform and should not be considered financial ￰18￱ views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s ￰19￱ are urged to do in-depth research before making any investment ￰20￱ action taken by the reader is strictly at their own ￰21￱ Tabloid is not responsible for any financial ￰22￱ us on Twitter , Facebook , Telegram , and Google News