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Perplexity AI predicts: XRP may rise 200% to $9 before Christmas, Solana(SOL), Stellar(XLM) are the pioneers of the bull run.
The American AI platform Perplexity AI has released a report on the potential of crypto assets, predicting that under the continued institutional focus on stablecoins, cross-border payments, and RWA tokenization, three crypto assets will lead the next bull run: 1) Ripple(XRP) is expected to hit $9 before Christmas 2025 (a 200% rise from the current price); 2) Solana(SOL) is benefiting from expectations of a Spot ETF and rumors of national reserves, targeting $1,000; 3) Stellar(XLM) is expected to achieve a threefold increase to reach a new historical high. The report points out that Bitcoin breaking previous highs and the implementation of the U.S. GENIUS Act are key favourable information.
Favourable Information: Policies and Market Resonance Boost Bull Run Expectations
Ripple ( XRP ): Multiple catalysts targeting a $9 goal
The Perplexity AI model predicts that XRP is expected to reach $9 by the end of 2025 (current price $2.97).
Solana(SOL): ETF expectations and national reserve rumors trigger a 3x rise
Stellar(XLM): The 3-fold revival path of the veteran payment chain
Conclusion
The report from Perplexity AI outlines the landscape of a bull run in crypto assets driven by institutionalization and innovation. XRP aims for $9 with its payment implementation and compliance breakthroughs, while Solana leverages ETF expectations and national-level explorations to challenge the 1,000 yuan mark. Veteran Stellar is brewing a threefold comeback based on clearer regulations. Although technical indicators show short-term correction pressure (such as the downward RSI of XRP), favorable macro policies (the GENIUS Act) and market sentiment (BTC breaking previous highs) provide a solid foundation for the rise. Investors should follow: 1) SEC's approval progress for the Solana ETF; 2) whether XRP can effectively break through the previous high of $3.65, as these factors will directly influence the realization path of the forecast target.