# Сопутствующие статьи по теме Liquidity

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

BIT Research: If It Followed Nasdaq, Bitcoin Should Be Close to $140,000

BIT Research: Bitcoin Price Analysis Under Inflation Re-pricing The market is currently undergoing a macro adjustment phase dominated by inflation re-pricing. Analysis suggests that if Bitcoin had continued to follow Nasdaq's trajectory, its theoretical price would be near $140,000. However, a significant divergence between the two assets has emerged since October 2025. The core reason is the resurgence of US inflation, which has led to a reversal in market expectations for the Federal Reserve's rate-cut path. Recent data shows US CPI rising to 3.8% and PPI to 6.0%, prompting markets to scale back expectations for 2026 rate cuts. For Bitcoin, the previous supportive narrative of anticipated loose liquidity is weakening. Concurrently, escalating tensions involving Iran have driven oil prices up approximately 40% since late February 2026, heightening inflation concerns through rising energy costs. While the market currently views this inflation surge as a temporary pressure point, the interplay between energy, interest rates, and risk appetite is prompting a reassessment of the potential for a prolonged high-rate environment. In this context, Bitcoin has begun to underperform tech stocks, which can benefit from nominal inflation. The divergence stems from a key distinction: Bitcoin's past rallies were driven by loose liquidity and rate-cut expectations, not inflation itself. As a long-duration asset, Bitcoin is highly sensitive to interest rate paths. When expectations for rate cuts are withdrawn, its valuation faces pressure. Unlike equities, which can benefit from increased nominal revenues and reduced real debt burdens during inflation, Bitcoin possesses neither debt that inflates away nor cash flows that expand with inflation, offering no direct structural benefit from rising prices. Looking ahead, the critical question is whether high inflation will force the Fed to maintain elevated rates for longer. The BIT model anticipates US CPI could potentially rise further to 6.0%. Additionally, factors like AI infrastructure expansion—driving data center construction and power demand—may sustain energy price pressures and extend the period of above-target inflation. In such an environment, tech stocks gain from order growth and improved earnings expectations, while Bitcoin remains susceptible to high-rate pressure. In summary, the current shift does not invalidate Bitcoin's long-term thesis but reflects a market re-evaluation of interest rate and liquidity paths amid resurgent inflation. In the short term, a high-inflation environment may continue to suppress Bitcoin's performance relative to Nasdaq. This represents a slowdown in its upward momentum rather than a bearish turn. Bitcoin could regain support once markets begin to reprice expectations for future liquidity easing.

marsbit05/15 10:07

BIT Research: If It Followed Nasdaq, Bitcoin Should Be Close to $140,000

marsbit05/15 10:07

Bankless Interview: Private Equity Insiders Reveal the Inside Story of Anthropic's Primary Market Trading

**Bankless Interview: A Private Equity Veteran Exposes the Dark Side of Anthropic's Pre-IPO Trading** In a Bankless podcast, Patagon founder Dio Casares reveals the opaque inner workings of the massive secondary market for shares in pre-IPO giants like Anthropic. The market, driven by private SPVs (special purpose vehicles), brokers, and even informal networks, sees hundreds of billions in notional value changing hands, with single-deal fees as high as 10%. However, an estimated 10-20% of transactions involve fraud or fabricated share certificates. Intermediaries often profit more from these deals than from their core investment businesses. Two types of "secondary" exist: company-sanctioned trades (like employee tender offers) that bring new money to the company, and disruptive "gray market" trades on platforms like Hive or Forge, which companies like Anthropic actively fight. The latter creates pricing chaos and complicates primary fundraising. A major risk involves multi-layered, nested SPV structures. When a company like Anthropic finally IPOs, delays in distributing shares down these chains, combined with discretionary powers of fund managers (GPs) to hold or sell, could trigger a wave of lawsuits and settlement nightmares lasting years. For small investors in "tokenized" versions of these assets, transparency is minimal, and due diligence is often impossible. Casares advises extreme caution, suggesting investors trust their gut and exit if something feels wrong. He warns that the post-IPO period will be a major "reckoning" for this wild and largely unregulated market.

marsbit05/15 09:44

Bankless Interview: Private Equity Insiders Reveal the Inside Story of Anthropic's Primary Market Trading

marsbit05/15 09:44

The First OpenAI Employees to Sell Their Shares Have Become Millionaires

Early OpenAI Employees Become Millionaires Before IPO A recent report reveals that OpenAI allowed over 600 current and former employees to sell shares in October, cashing out a total of $6.6 billion. Approximately 75 employees each realized about $30 million. This highlights a significant shift in the AI industry: employees at top companies can now gain substantial wealth through secondary market sales, tender offers, and other liquidity events long before a traditional IPO. For OpenAI, this generous equity incentive strategy, alongside high salaries and bonuses, has become a powerful tool to attract and retain top AI talent amid fierce competition. The company has adjusted its policies, increasing individual sale limits and allowing newer employees to participate. This trend extends beyond OpenAI. Chinese AI firm DeepSeek is reportedly seeking its first external funding round at a potential $50 billion valuation. This move is seen as crucial for establishing an external market price, which is necessary to make employee equity grants meaningful and competitive for retaining talent. The pathways to wealth creation in AI are diversifying. Beyond waiting for IPOs (e.g., Anthropic, chipmaker Cerebras), companies are exiting via acquisitions (e.g., Databricks buying MosaicML) or through complex deals like technology licensing and team transfers (e.g., Google's deal with Character.AI). These mechanisms allow investors, founders, and employees to realize gains earlier and through more varied routes than in previous tech cycles. In summary, the AI boom is creating a new wave of wealth, distributed not just to founders and investors but also to technical talent, and the liquidity events are occurring sooner and through more channels than ever before.

marsbit05/14 13:39

The First OpenAI Employees to Sell Their Shares Have Become Millionaires

marsbit05/14 13:39

Why the Establishment of SocialFi Originates from a Misunderstanding of Its Own Medium

"Why SocialFi's Establishment Stems from a Misunderstanding of Its Own Medium" This article critiques the failure of SocialFi projects by applying Marshall McLuhan's theory of "hot" and "cool" media. McLuhan posited that a medium's form—not its content—reshapes user behavior. "Hot" media (e.g., print, radio) deliver high-definition, complete information, promoting passive consumption. "Cool" media (e.g., cartoons, telephone calls) provide low-definition, fragmented signals, requiring active user participation to complete the meaning. Traditional social media platforms (like early Twitter) are quintessentially "cool." A tweet or like is an incomplete fragment; its significance emerges only through replies, shares, and community engagement—it's a participation engine disguised as a content system. SocialFi (e.g., Friend.tech) aimed to monetize social capital by attaching real-time, tradable prices to follows and posts. However, this didn't add an economic layer to a cool medium; it fundamentally transformed the medium itself. The explicit, high-resolution signal of price replaced the ambiguous, low-resolution signal of social interaction. The platform became a financial market dressed as a social network. Once the financial dynamics (speculative profits) faded, the underlying social fabric, which had been suffocated from the start, could not sustain it. The medium overheated and collapsed. This "heat death" pattern isn't unique to crypto. Over time, mainstream platforms often drift from cool to hot by adding features like public metrics, verification badges, and algorithmic feeds that optimize for clarity over participation, leading to user disengagement. The article proposes a viable alternative: the "condensation point." Here, capital is introduced locally and infrequently into a cool medium without saturating it. Examples include Substack (subscriptions), Patreon (memberships), and Bandcamp (music purchases). The core social medium remains cool and participatory, while capital condenses at specific, structurally separate points (e.g., a monthly fee). The key lesson: "Liquidity is heat." Adding it to a cool medium doesn't enhance it but alters its fundamental nature. The NFT boom and bust provides a starker example. Collecting is a classic cool medium, where value is built slowly through stories and community. By making floor prices, rarity scores, and real-time charts omnipresent, NFT platforms rapidly overheated the medium, turning collectors into traders and destroying the participatory culture that gave collections meaning in the first place. The conclusion is that for the next wave to succeed, designers must ask not how to price every social action, but how to let capital condense within a social system without disrupting the cool, participatory mechanics that create its enduring value.

marsbit05/14 09:39

Why the Establishment of SocialFi Originates from a Misunderstanding of Its Own Medium

marsbit05/14 09:39

EASY Residency Season 3 Graduation List Released: Which Tracks is YZi Lab Focusing On?

YZi Labs has announced the 25 graduating projects from the third season of its flagship incubation program, EASY Residency. This cohort is focused on key Web3 sectors including the reconstruction of on-chain financial market structures, AI agents, tokenized real-world assets (RWA), prediction markets, and privacy/compliance infrastructure. The selected projects span a wide range of applications. In the AI and infrastructure domain, Bank of AI provides identity and payment infrastructure for AI agents on BNB Chain, while Cournot focuses on making AI probabilistic outputs verifiable. Functor addresses self-custody authorization for AI agent workflows. For decentralized finance (DeFi) and trading, several projects aim to enhance liquidity and user experience. LunarBase offers CEX-level on-chain liquidity, Möbius is building a unified margin layer, and Nemesis is a permissionless margin trading protocol. Others like LayerV and Vibe.fun are working on structured products and exotic derivatives. The RWA and asset tokenization category includes Renaiss, which provides liquidity infrastructure for physical collectibles, and Openstocks, a platform for tokenized private market exposure. Prediction markets and novel financial primitives are represented by Polysights (automation infrastructure for prediction markets) and PokerFi (an on-chain poker skill-games options market). Privacy and compliance are addressed by projects like 0xBow.io, which offers compliance-oriented privacy infrastructure, and SilentSwap, a cross-chain privacy swap protocol. The list also features projects targeting specific niches or improving core processes, such as Isaac, a non-interest stablecoin neobank for the Muslim market, Brief Tech, an AI-powered legal evidence indexing tool, and Flap, a programmable token launch infrastructure. Overall, this cohort reflects YZi Labs' investment thesis in foundational infrastructure layers, AI integration, sophisticated DeFi products, and real-world asset tokenization, aiming to advance the usability and capability of the on-chain ecosystem.

marsbit05/14 02:09

EASY Residency Season 3 Graduation List Released: Which Tracks is YZi Lab Focusing On?

marsbit05/14 02:09

EASY Residency Season 3 Graduation List Announced: Which Sectors is YZi Lab Eyeing?

YZi Labs has announced the 25 projects graduating from the third season of its flagship incubation program, EASY Residency. The cohort focuses on key areas such as rebuilding on-chain financial market structures, AI agents, tokenized real-world assets (RWA), prediction markets, and privacy/compliance infrastructure. Notable projects include: Bank of AI, building AI Agent identity and payment infrastructure for BNB Chain; Cournot, creating a verifiable reasoning platform for AI probability outputs; and LunarBase, a liquidity platform aiming for CEX-like execution quality on Base and BNB Chain. Other highlights are: Flap, a programmable token launch infrastructure; GEMINT, a marketplace for collectibles and IP assets; and Renaiss, providing liquidity infrastructure for physical collectibles as RWAs. In DeFi, projects like Möbius (unified margin layer), TermMax (fixed-rate lending), and LayerV (on-chain options) aim to enhance sophistication and capital efficiency. Several projects tackle AI automation, such as Newsliquid (automating news-based trading) and Taco AI (AI agent trading). Privacy and compliance are addressed by 0xBow.io (privacy infrastructure with compliance proofs) and SilentSwap (private cross-chain swaps). The selection reflects YZi Labs' focus on foundational infrastructure across AI, DeFi, tokenization, and next-generation financial primitives, supporting early-stage projects that aim to advance these critical sectors.

Odaily星球日报05/14 02:02

EASY Residency Season 3 Graduation List Announced: Which Sectors is YZi Lab Eyeing?

Odaily星球日报05/14 02:02

TurboFlow Announces Strategic Partnership with Global Giant Susquehanna Crypto, Introducing Wall Street Institutional-Grade Liquidity and Dynamic Odds Market Structure Support

TurboFlow announces a strategic partnership with Susquehanna Crypto, a leading global proprietary digital asset trading firm. As part of this collaboration, Susquehanna Crypto will act as an on-chain liquidity provider and market maker for all TurboFlow products. This partnership brings institutional-grade liquidity, market-making support, and expertise in professional trading, market structure, price discovery, and risk management to the TurboFlow ecosystem. This marks a significant milestone for TurboFlow as it expands its product suite, which includes perpetual contracts and newly launched Event Contracts with durations as short as 30 seconds. Enhanced liquidity depth, efficient price discovery, and market stability are becoming increasingly critical for user experience. Notably, TurboFlow is transitioning its Event Contracts from a traditional fixed-odds model to a more dynamic, market-driven odds structure. Susquehanna Crypto will inject deep liquidity through TurboFlow's proprietary PFOF (Payment for Order Flow) architecture. This aims to ensure minimal slippage and millisecond-level execution for users, even during extreme market volatility, whether trading 1000x leveraged perpetuals or short-duration event contracts. Looking ahead, TurboFlow plans to onboard more top-tier institutional market makers to build a diversified liquidity network. The platform will continue expanding its product ecosystem across several verticals: Event Contracts (extending to assets like crude oil and gold), prediction markets and Telegram Mini Apps, and perpetual contracts. TurboFlow's mission is to democratize trading by making professional-grade infrastructure and a simplified, engaging experience accessible to all users.

链捕手05/13 10:23

TurboFlow Announces Strategic Partnership with Global Giant Susquehanna Crypto, Introducing Wall Street Institutional-Grade Liquidity and Dynamic Odds Market Structure Support

链捕手05/13 10:23

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