# Сопутствующие статьи по теме Valuation

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Valuation", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Saylor Says Bitcoin Could Win Big If AI Destroys Traditional Moats

Michael Saylor argues that Bitcoin could become a major beneficiary if artificial intelligence undermines long-term corporate moats and compresses traditional equity valuations. This view responds to Chamath Palihapitiya’s thesis that AI could accelerate disruption, making competitive advantages temporary and forcing investors to drastically reprice stocks based on near-term cash flows rather than long-dated growth. Palihapitiya suggested that heightened disruption risk could compress market multiples, potentially leading to a significant devaluation of equity markets. Saylor contends that in such a scenario, capital would shift to assets immune to AI disruption—specifically Bitcoin, which he describes as scarce, neutral, and resilient. The debate later turned to quantum computing risks, with Palihapitiya questioning Bitcoin’s resilience, while Saylor argued that quantum threats would affect the entire digital infrastructure, not just Bitcoin. Other industry figures, including BitGo’s CEO and Helius Labs’ CEO, offered nuanced perspectives on Bitcoin’s comparative vulnerabilities and strengths in a post-quantum world. At the time of writing, Bitcoin was trading at $74,140.

bitcoinist03/18 02:03

Saylor Says Bitcoin Could Win Big If AI Destroys Traditional Moats

bitcoinist03/18 02:03

$7 Billion Iran Bet Forces U.S. to Tighten Rules on Prediction Markets

Polymarket and Kalshi, two prediction market platforms, are reportedly seeking funding at valuations of around $20 billion each. This coincides with increased regulatory scrutiny from U.S. lawmakers and the CFTC, driven by controversial contracts related to Iran. Approximately $529 million was wagered on contracts predicting the timing of an Iranian attack, and $150 million on contracts related to the potential ouster of Supreme Leader Khamenei. Six accounts allegedly profited around $1.2 million from well-timed trades just hours before an attack on Iranian officials. These events have intensified concerns about insider trading, market manipulation, and the use of sensitive or classified information. In response, U.S. legislators are drafting bills to restrict certain event contracts, while the CFTC is advancing new regulatory frameworks. Despite the controversy, prediction markets are gaining traction as information products. Major media outlets like CNBC and Dow Jones have partnered with these platforms to integrate predictive data into their reporting. However, the integration of such data into mainstream media raises questions about fairness, trust, and the potential influence on public perception. The core challenge lies in balancing innovation and growth with regulatory oversight, especially when contracts involve geopolitical events, assassinations, or military actions. The U.S. must decide whether to heavily regulate these markets or outright ban certain contract types to prevent abuse and protect sensitive information.

marsbit03/16 14:41

$7 Billion Iran Bet Forces U.S. to Tighten Rules on Prediction Markets

marsbit03/16 14:41

Why Did the Prediction Market, Which Secured 20 Billion in Funding, Become the Target of Washington's Regulation?

Polymarket and Kalshi, two prediction market platforms, are seeking funding at valuations of around $20 billion each amid growing regulatory scrutiny from Washington. Their rise coincides with political controversy surrounding contracts related to Iran, where approximately $529 million was wagered on the timing of an Iranian attack and $150 million on contracts tied to the potential ouster of Supreme Leader Khamenei. Six accounts reportedly profited around $1.2 million from well-timed trades, raising concerns about insider information and war speculation. While Wall Street sees prediction markets as valuable information tools—evidenced by data partnerships with major media outlets like CNBC and Dow Jones—regulators are moving to impose stricter rules. U.S. lawmakers are drafting bills to restrict certain event contracts, and the CFTC is advancing new regulatory frameworks. The core issue revolves around trust, fairness, and the risk of incentivizing leaks of sensitive or classified information. A lawsuit against Kalshi further highlights challenges: users allege the platform refused to pay $54 million in winnings related to Iran contracts by invoking new exceptions after events unfolded. The tension reflects a broader dilemma: balancing the growth and legitimacy of prediction markets as information products against the need to prevent unethical profiteering and protect national security interests.

比推03/16 13:29

Why Did the Prediction Market, Which Secured 20 Billion in Funding, Become the Target of Washington's Regulation?

比推03/16 13:29

Code Is Getting Cheaper, Licenses Are Getting More Valuable: The Real Moat of Fintech in the AI Era

"The article argues that in the AI era, code is becoming cheaper, but true competitive advantages in Fintech come from hard-to-replicate elements like banking licenses, underwriting data from credit losses, and proprietary risk models trained on real transaction volumes. While traditional software companies face compressed margins as AI lowers both development and distribution costs, Fintech's real moats lie in regulatory compliance, risk management, and data accumulation—areas where AI actually strengthens incumbents. Companies that own the "fin" side (licenses, risk-bearing, proprietary data) will benefit from AI, while those relying solely on "tech" (software interfaces built atop others' infrastructure) will suffer from eroding differentiation. The new arbitrage is no longer about applying software valuations to financial economics, but about owning the foundational elements of finance itself."

marsbit03/16 04:56

Code Is Getting Cheaper, Licenses Are Getting More Valuable: The Real Moat of Fintech in the AI Era

marsbit03/16 04:56

From Presale Pricing to Public Markets: Tracking How Ozak AI’s $0.014 Entry Could Scale as Adoption Accelerates

This article analyzes the potential value expansion of Ozak AI, an AI infrastructure project, from its current presale price of $0.014 to public market trading. It highlights that the most significant gains in crypto often occur during the transition from presale to public listing, where Ozak AI could see a 70x+ repricing to a target of $1.00 due to limited supply and new demand. The analysis outlines a multi-stage growth model: an initial repricing at listing, followed by adoption-driven expansion through its AI products (Prediction Agents, Ozak Stream Network, EigenLayer integration, etc.), and finally, narrative acceleration within the broader AI-blockchain cycle. The project's associations with names like Intel and Pyth Network are noted for adding credibility. The $0.014 entry price is emphasized as a strategic positioning window, allowing maximum token exposure before higher public market prices. The conclusion states that while outcomes are speculative, early pricing advantages tend to compress quickly as adoption accelerates, rewarding those who enter during the presale phase.

TheNewsCrypto03/15 16:52

From Presale Pricing to Public Markets: Tracking How Ozak AI’s $0.014 Entry Could Scale as Adoption Accelerates

TheNewsCrypto03/15 16:52

80% of Tokens Fall Below Issue Price, IPO Financing Soars 48 Times—Crypto Capital Shift Has Occurred

The crypto industry is witnessing a significant capital shift from token offerings to traditional equity markets. In 2025, over 80% of tokens traded below their initial offering price due to high volatility, weak demand, and poor tokenomics, eroding investor confidence. Conversely, crypto IPOs surged 48x, raising $14.6 billion, while M&A activity hit a five-year high of $42.5 billion. Equity offerings, compared to tokens, demonstrate similar upside potential but with lower volatility and longer-term growth. Stocks command higher valuation premiums (P/S ratios of 7-40x vs. 2-16x for tokens) due to institutional access, index inclusion potential, and richer trading strategies. Key valuation factors include regulatory moats, revenue diversification, and sector sentiment. M&A activity is accelerating, driven by regulatory compliance and strategic expansion, with focus on trading infrastructure, exchanges, and stablecoins/payments. Major acquisitions were led by Coinbase, Kraken, and Ripple. Upcoming IPOs in 2026 include Kraken, Consensys, Ledger, Animoca, and Bithumb. The future lies in blending TradFi validation with crypto innovation, emphasizing sustainable revenue and long-term value creation.

marsbit03/15 07:55

80% of Tokens Fall Below Issue Price, IPO Financing Soars 48 Times—Crypto Capital Shift Has Occurred

marsbit03/15 07:55

Deconstructing the Capital Game of Public Chain Pharos: A $950 Million Valuation Propped Up by Photovoltaic and Other Assets, A Shell Transaction Under Layers of Betting?

The article investigates the recent $247.3 million investment by Hong Kong-listed GCL New Energy into the Layer 1 blockchain project Pharos at a $950 million valuation. It reveals the deal is not a straightforward investment but a complex, multi-stage transaction bound by stringent performance milestones. The core of the agreement is a set of mutual, conditional investments. Pharos must first purchase up to $1.5 billion HKD worth of GCL shares. However, GCL's reciprocal investment in Pharos tokens is contingent upon a series of strict, performance-based vesting conditions. The entire deal is split into five tranches, each unlocking only if the Pharos token lists on an exchange without falling below its issue price and maintains a high fully diluted valuation (FDV) over successive three-month periods. If any condition fails, the entire agreement can be terminated. The article questions the legitimacy of the $950 million valuation, which was calculated based on a purported $250 million in Total Value Locked (TVL). Notably, over half of this TVL is claimed to be from real-world assets (RWA), specifically photovoltaic and power station assets linked to GCL—a highly unconventional method for valuing a Layer 1 blockchain. Furthermore, the mainnet is not yet live, and the TVL figure is unverified by independent data platforms. The author suggests the deal is a "capital game" designed to boost GCL's stock price, which saw suspicious pre-announcement surges, and to create hype for the upcoming Pharos token launch, ultimately passing the risk onto the market and future investors.

marsbit03/15 05:49

Deconstructing the Capital Game of Public Chain Pharos: A $950 Million Valuation Propped Up by Photovoltaic and Other Assets, A Shell Transaction Under Layers of Betting?

marsbit03/15 05:49

Inside Ripple’s Buying And Selling Cycle — And Its Impact On XRP

Ripple's recent $750 million share buyback has sparked division within the XRP community. Critics, led by analyst @WhaleFUD, argue that Ripple sells XRP to fund these buybacks, prioritizing private equity holders and venture capitalists over retail XRP investors. They contend this cycle provides no direct benefit to XRP holders and that Ripple has little incentive to support the token's long-term value, especially with products like its new stablecoin competing with the XRP Ledger. Conversely, supporters like researcher BankXRP view the buyback as a sign of Ripple's strength and confidence. The $50 billion valuation and recent strategic acquisitions are cited as evidence of the company's robust liquidity and long-term commitment to the XRP ecosystem, despite ongoing market uncertainty and price pressure.

bitcoinist03/15 02:42

Inside Ripple’s Buying And Selling Cycle — And Its Impact On XRP

bitcoinist03/15 02:42

Analysis: HYPE at $37 Current Price, Still Undervalued in a Bear Market

Analysis: HYPE at $37 is undervalued even in a bear market. Hyperliquid's 2025 revenue is 15% of CME's, yet its market cap is only 10% of CME's. The market is not pricing in the trillion-dollar TAM potential from HIP-3, which enables permissionless perpetual contracts for any asset. The Iran war weekend served as a stress test, with Hyperliquid's oil futures providing real-time global pricing while CME was closed. A four-scenario DCF model shows that even in a bear case (0.01% capture of the $1.74T daily TAM), HYPE's implied price is $60—well above the current $37. This suggests the base exchange business alone is undervalued. The base case (0.10% capture) implies $72, and the bull case (0.50% capture) implies $124. HIP-3 already contributes ~10% of fees just five months after launch. Hyperliquid's liquidity depth, execution quality, and lack of US-centric regulatory dependency strengthen its position. With a P/S ratio of 10-13x vs. traditional exchanges at 20-25x, HYPE is poised for re-rating as it captures migrating traditional finance volume.

marsbit03/14 06:27

Analysis: HYPE at $37 Current Price, Still Undervalued in a Bear Market