Live: Market Rebound and Other Crypto News for Oct. 20

- Nasdaq seeks SEC approval to trade tokenized stocks under existing regulations, proposing blockchain-based settlement while retaining traditional compliance frameworks. - The World Federation of Exchanges warns against crypto platform exemptions, urging safeguards to prevent unregulated tokenized securities from undermining investor protections. - SEC's December 4 advisory committee meeting will assess Nasdaq's blueprint, balancing innovation with risks of market fragmentation and offshore competition. -

- Bitwise's DOGE ETF (BWOW) launches Nov 26, 2025, offering regulated DOGE exposure with 0.34% fee. - Dogecoin ranks 9th at $22B market cap, with $1B+ daily volume, driven by institutional adoption and SEC approval shifts. - ETF structure holds actual DOGE, aligning with Bitwise CEO's vision to democratize crypto access through transparency. - Grayscale's Zcash ETF filing and Mutuum Finance's $19M presale highlight growing altcoin institutional interest. - DOGE trades at $0.1503, consolidating in $0.13–$0.

- Nasdaq seeks SEC approval for tokenized stock trading framework, aiming to modernize settlement while aligning with existing regulations. - The proposal shares CUSIPs and rights between tokenized/traditional shares but faces criticism over potential market fragmentation and investor protection risks. - SEC's cautious approach and December 4 panel will determine if tokenized equities gain regulatory traction or remain niche experiments. - Industry divides persist: Nasdaq prioritizes incremental adoption w

- XRP gains traction as analysts predict $5 price targets via ETF-driven inflows, citing historical Bitcoin multipliers. - Ozak AI emerges as AI-focused crypto alternative, raising $4.54M in presale with 7,000% return potential via decentralized AI infrastructure. - Market splits between XRP's institutional appeal and Ozak AI's utility-driven innovation, highlighting crypto's shifting risk-reward dynamics. - Analysts note XRP's capped growth vs. Ozak AI's 50X-100X potential, emphasizing real-world AI appli