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.
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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.
Disclaimer: This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are urged to do in-depth research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses.
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