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Bitcoin (BTC), the world’s largest cryptocurrency, is set to debut on Ripple’s blockchain XRP Ledger (XRPL) this month. Analysts have taken to social media to explain what this milestone really means, highlighting how it automatically expands XRPL’s institutional use case and positions it as a leading network in the crypto space.
Ripple’s XRP Ledger Prepares To Tokenize Bitcoin
XRP is starting the week in the spotlight, after crypto market expert Ripple Bull Winkle and other analysts unveiled an upcoming development in the XRP Ledger. According to Ripple Bull Winkle, XRPL is gearing up to tokenize Bitcoin by the end of February 2026.
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While many in the crypto community question the validity of this announcement, others wonder what this truly means for XRP and its value. In response, Ripple Bull Winkle explained that Ripple Custody, a bank-grade digital asset management service, will hold the real BTC in secure storage and issue tokenized versions of it on the XRP Ledger. For every Bitcoin they hold, they would mint or create an equivalent amount of tokenized Bitcoin, which can be easily transferred across the network.
Notably, tokenizing Bitcoin does not mean that the cryptocurrency is moving to a new blockchain. Rather, it means that a version of the digital asset will exist and be usable on XRPL as a token that represents the underlying BTC. Ripple Bull Winkle explained that, because the XRP Ledger is much faster than the Bitcoin network, transactions would be settled in about 3-4 seconds instead of 10 minutes. The analyst emphasized that fees would also become cheaper, costing only pennies.
After Bitcoin, Ripple intends to expand its asset tokenization to other cryptocurrencies. Ripple Bull Winkle has stated that it plans to tokenize leading assets like Ethereum and Solana on XRPL, meaning versions of those assets will also be usable on the network. If this happens, the XRP Ledger would not be limited to XRP. Ripple Bull Winkle noted that it would become a universal settlement layer, where many digital assets can move quickly and more affordably.
Stablecoins Could Be Next
In a similar post, crypto expert Vincent Van Code discussed Bitcoin’s upcoming tokenization on the XRP Ledger. He addressed whether this feature could later be expanded to include fiat currencies and stablecoins, noting that the main challenge is custody. As an example, the analyst explained that if Ripple wanted to mint RLJPY, a Japanese Yen-pegged stablecoin, a regulated bank would need to hold the actual Yen on investors’ behalf.
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He noted that this process is more complex than it appears, especially when dealing with large amounts, such as $100 million. He also raised concerns about fees, explaining that a stablecoin business model often needs cash-based investments to remain profitable. Despite these challenges, Van Codes still believes XRPL could eventually be used to mint not only stablecoins, but also tokenize gold and diamonds.
@Ripple
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A previously published Bitcoin price crash projection from May 13, 2025, has re-entered market discourse after several prominent crypto traders on X recirculated the chart and commended the foresight behind the analysis from KillaXBT. The model mapped Bitcoin’s full cycle structure — from accumulation to distribution and breakdown — long before the current correction unfolded. Now, the same framework is signaling that Bitcoin has yet to establish a macro bottom.
Chart Signals That Nailed The Bitcoin Price Crash
KillaXBT’s framework is built on rotational market mathematics, measuring how many times price cycles are within a range before exhaustion. The analyst segmented Bitcoin’s structure into consolidation blocks and assigned swing counts to identify when liquidity had been fully absorbed.
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In the early phase, accumulation rotations labeled “(2×2)+1 = 5” and “(5×2)+1 = 11” defined the base that ultimately fueled Bitcoin’s impulsive rally. These counts indicated that internal liquidity cycling was complete, clearing the path for expansion. Once that move matured, the price transitioned into a high-range consolidation beneath the cycle peak.
Inside the 115,000–120,000 distribution zone, the chart identified overlapping exhaustion clusters marked “(2×5)+1 = 9” and “(3×2)+1 = 7.” For traders, stacked counts at highs typically signal supply absorption. Although Bitcoin printed marginal higher highs, momentum was fading — a textbook late-stage distribution signal.
Market behavior followed that roadmap. Bitcoin formed repeated rejection wicks near the highs, upside momentum slowed, and breakout attempts failed to secure acceptance above resistance. Volume compression reinforced the distribution thesis. Instead of continuation, the price rolled over.
The model then mapped a transition into mid-range consolidation around the 100,000 psychological level, with BTCUSDT referenced near 102,603. Annotated “(2×2)+1 = 5, then subtract 2 = 3,” the structure signaled weakening bounce capacity. Price action mirrored the setup: multiple support tests, lower highs, and eventual breakdown — completing the crash phase outlined in the May 2025 forecast.
Bitcoin Price Could Drop Further Before Hitting Bottom
The resurfaced chart’s larger significance lies in its forward projection. After the six-figure range failed, the model guided Bitcoin into a lower distribution band around 70,000. This zone carried heavier rotational counts — “4×2 = 8” and “(5×5)+1 = 26” — implying extended consolidation within a bearish continuation framework.
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Current market behavior continues to align with that structure. Bitcoin has already rotated into lower support territory following the 100K breakdown, while volatility has expanded on selloffs rather than recoveries. Relief rallies remain corrective, lacking the impulsive follow-through required to confirm bottom formation.
The chart’s final stage shows a potential capitulation toward the $50,000 area, marked by a sharp move below the lower range. Structurally, this is an unfinished downside that completes the current distribution phase.
The sequence is straightforward: accumulation pushed prices higher, the rise led to distribution, and now distribution is causing further breakdowns. Because no consolidation has shown the expansion profile typical of a macro base, the model maintains that the true bottom is not yet in.
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