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Crypto's First Reverse Equity Stake in Hong Kong Stock: The New Capital Model Experiment Behind Pharos' $1 Billion Valuation

Crypto Project Pharos Pioneers Reverse Equity Deal with Hong Kong-Listed Company GCLNE at $1 Billion Valuation In a landmark move, the crypto project Pharos has entered a novel capital partnership with Hong Kong-listed GCL New Energy (0451.HK), valuing Pharos at nearly $1 billion. The deal represents a significant innovation in crypto financing, structured as a conditional, performance-based agreement rather than a simple investment. The core of the deal is a two-way, conditional capital injection. GCLNE will invest in Pharos tokens, but the investment is contingent on the performance of the Pharos token post-listing. Simultaneously, Pharos will acquire a stake in GCLNE at a discount. The capital exchanges occur in tranches, with each tranche for both the equity and token portions unlocking only when specific performance milestones for the Pharos token are met. This creates a tightly coupled model where both sides win or lose together based on the token's market success. This structure provides GCLNE, a major Asian solar energy operator, with a risk-controlled entry into the crypto and RWA (Real World Assets) space, offering potential new avenues for capitalizing its physical assets. For Pharos, an institutional-focused Layer 1 blockchain, it delivers a major trust endorsement, a public confidence signal, and a pioneering status as the first crypto project to strategically hold equity in a traditional listed company. The partnership is seen as a natural alignment. GCLNE seeks efficient financial tools to tokenize and monetize its extensive green energy assets, while Pharos aims to be an infrastructure for real-world financial assets. The deal, supported by a Hong Kong Stock Exchange filing, sets a potential precedent for future hybrid capital models between traditional equity and crypto, shifting the industry focus from pure narrative to verifiable performance and兑现力 (fulfillment capability).

marsbit03/19 02:47

Crypto's First Reverse Equity Stake in Hong Kong Stock: The New Capital Model Experiment Behind Pharos' $1 Billion Valuation

marsbit03/19 02:47

Interpretation of the Latest U.S. Crypto Asset Regulatory Policy: A Major Shift from 'Regulation by Enforcement' to 'Providing Clear Rules'

The U.S. SEC and CFTC jointly issued a new policy on March 17, titled "Application of the Federal Securities Laws to Certain Types of Crypto Assets and Certain Transactions Involving Crypto Assets," marking a major shift from regulation by enforcement to a clear, rules-based framework. The 68-page document classifies crypto assets into five categories: Digital Commodities (e.g., BTC, ETH, regulated by CFTC), Digital Collectibles (e.g., NFTs, memecoins, no specific oversight), Digital Tools (e.g., ENS, functional tokens), Stablecoins (exempt from securities registration if compliant with the GENIUS Act), and Digital Securities (regulated by SEC). It refines the Howey Test, emphasizing that an asset is a security only if investors expect profits from others' "essential managerial efforts." The policy also clarifies that non-security assets (like Bitcoin) can be part of an investment contract without becoming securities themselves, and outlines conditions for "de-securitization." Common activities like PoW mining, PoS staking, liquid staking tokens, wrapping, and airdrops are generally not deemed securities if they lack investment contracts or promises of managerial efforts. This framework aims to reduce compliance uncertainty and support innovation while applying functional, substance-over-form regulation.

marsbit03/19 02:34

Interpretation of the Latest U.S. Crypto Asset Regulatory Policy: A Major Shift from 'Regulation by Enforcement' to 'Providing Clear Rules'

marsbit03/19 02:34

After 6 Quarters of Calling for Rate Cuts, Rate Expectations Are Instead Moving Upwards

In September 2024, the Federal Reserve began its rate-cutting cycle, projecting a median federal funds rate of 3.4% by the end of 2025—implying four additional cuts. However, six quarters later, the March SEP (Summary of Economic Projections) reveals a significant shift: the rate now stands at 3.50%-3.75%, 25 basis points higher than initially expected. The median projection for 2026 has also risen from 2.9% to 3.4%. The Fed’s internal consensus has fractured. Out of 19 FOMC participants, seven now expect no rate cuts in 2026, while seven anticipate only one cut. This 7:7 split reflects a fundamental disagreement over the direction of monetary policy, moving from debates over the magnitude of cuts to whether cuts should occur at all. Persistent inflation is the core issue. The Fed has consistently revised its PCE inflation forecasts upward over the past six quarters, with the 2026 projection now at 2.7%—up 0.6 percentage points from initial estimates. Core PCE, a key indicator of underlying inflation, was revised up sharply to 2.7%, signaling entrenched price pressures. Despite slightly raising its GDP growth forecast to 2.4% and holding unemployment steady at 4.4%, the Fed’s unchanged median rate projection conflicts with its own rising inflation outlook. Market expectations remain more dovish, pricing in around 50 basis points of cuts, but the Fed’s internal division and consistent underestimation of inflation suggest continued uncertainty. The central bank is effectively chasing reality, with no clear consensus on the path ahead.

marsbit03/19 02:30

After 6 Quarters of Calling for Rate Cuts, Rate Expectations Are Instead Moving Upwards

marsbit03/19 02:30

Heavy Recommendation in Less Than a Month, Goldman Sachs Suggests "Going Short" on HALO Trade

Goldman Sachs has executed a sharp reversal in its investment recommendation regarding the HALO (Heavy Assets, Low Obsolescence) trade within a month. After actively promoting the HALO narrative in late February, citing the AI-driven surge in capital expenditure from tech giants and structural tailwinds for physical assets, the bank now recommends shorting a specific basket of U.S. stocks, labeled GSXUHALT. This basket targets companies with high asset density but zero or negative earnings growth expectations, whose stock prices have rallied excessively alongside the broader HALO theme without fundamental support. Goldman's analysis indicates the market has been indiscriminately buying heavy-asset stocks, pushing some low-quality names to outperform higher-quality counterparts. The bank's data shows this basket peaked in late February and has begun to decline. The shift signals that the HALO trade's initial phase may be over, and internal differentiation is crucial. Goldman advises pairing this short position with thematic long opportunities, noting that the recent market pullback has created significant "buy-the-dip" potential in other sectors. The core message is that not all heavy-asset stocks are equal; investors must now distinguish between those with durable competitive advantages and those merely riding the trend.

marsbit03/19 02:21

Heavy Recommendation in Less Than a Month, Goldman Sachs Suggests "Going Short" on HALO Trade

marsbit03/19 02:21

BNB vs. XRP: Does BSC’s $76.4K revenue spike signal a market shift?

BNB Chain (BSC) recently recorded a significant daily revenue spike of $76.4k, indicating strong underlying ecosystem activity and adoption. This comes at a time when XRP has overtaken BNB in market cap rankings, raising questions about market dynamics. The article suggests that while XRP's rise may reflect short-term strength, BSC's robust fundamentals—including its expansion into AI with the BNBAgent SDK—signal long-term growth potential. The AI agent market is projected to grow massively, and BNB is positioning itself to capture this trend. Technically, the XRP/BNB pair is trading in a tight range, and historical data shows BNB outperformed XRP in a previous cycle. The conclusion is that BNB may be currently undervalued, and a market correction could see it regain momentum.

ambcrypto03/19 02:01

BNB vs. XRP: Does BSC’s $76.4K revenue spike signal a market shift?

ambcrypto03/19 02:01

Jensen Huang is Satoshi Nakamoto

Summary: The article draws a compelling parallel between Jensen Huang, CEO of NVIDIA, and Satoshi Nakamoto, the pseudonymous creator of Bitcoin. It argues that both figures, though operating in different eras, fundamentally architected new "token economies" based on a core conversion rule: inputting computational power (electricity) to output a valuable token. Nakamoto's 2008 whitepaper defined a system where Proof-of-Work mining produces scarce cryptographic tokens, creating a decentralized "faith economy" based on speculative value. In 2026, Huang is portrayed as performing a structurally identical act at GTC. Instead of merely selling GPUs, he presented a complete "token economics" framework, segmenting the market into tiers (Free, Medium, High, Premium, Ultra) based on inference speed, model type, and price per million tokens. He defined valuable computation for the AI age. The key distinction lies in the tokens' purpose and resulting scarcity. Crypto tokens derive value from artificial, code-enforced scarcity (e.g., Bitcoin's 21 million cap) and are meant to be held. AI tokens derive value from their immediate consumption for productive tasks (coding, decision-making) and face a natural, physical scarcity governed by the laws of thermodynamics, land, and power grids, which Huang's hardware is designed to maximize. Ultimately, while Nakamoto created a speculative asset, Huang is building an indispensable utility. The AI token economy, powered by NVIDIA ecosystem, is argued to be more resilient and fundamental, as the author concludes, "You don't need to believe the token has value—your credit card bill has already proven it." Huang is presented as the visible, commercial architect of a tangible token future, the successor to Satoshi's anonymous, ideological blueprint.

marsbit03/19 01:31

Jensen Huang is Satoshi Nakamoto

marsbit03/19 01:31

IBM Loses $40 Billion, Block Lays Off Half Its Workforce Yet Stock Rises: In the AI Era, What Assets Are Worth Tokenizing?

On February 23, 2026, IBM’s stock plummeted 13.2%, erasing $40 billion in market value, after AI startup Anthropic announced its Claude Code tool could modernize IBM’s legacy COBOL systems—a core profit driver for IBM. In contrast, Block’s stock surged 24% three days later despite announcing a 50% workforce reduction, citing AI-driven efficiency gains. These divergent reactions highlight how AI is redefining asset value. The article argues AI acts as a "repricer" of assets, favoring those with "AI immunity." Key traits include non-codability (e.g., IBM’s hardware-software integration, which AI can’t fully replicate), data moats (exclusive, high-quality data), and AI-augmentability (assets enhanced, not replaced, by AI). Assets vulnerable to AI are those reliant on human intermediation or standardized processes. The framework extends to real-world asset (RWA) tokenization. Assets worth tokenizing are those resilient to AI-driven devaluation, such as energy infrastructure, GPU computing power, exclusive data assets, and hybrid physical-digital assets. The piece cautions against tokenizing assets dependent on human intermediaries or lacking data moats. The conclusion urges executives to stress-test their asset portfolios using the "AI immunity" framework, dynamically manage asset allocation, and carefully evaluate RWA strategies based on AI resilience. It emphasizes that in the AI era, sustainable assets are those that leverage human judgment and possess inherent physical or exclusive value.

marsbit03/19 01:25

IBM Loses $40 Billion, Block Lays Off Half Its Workforce Yet Stock Rises: In the AI Era, What Assets Are Worth Tokenizing?

marsbit03/19 01:25

XRP $1.50 Breakout Was No Coincidence – Here’s What’s Happening Underneath The Move

XRP's recent breakout above $1.50 is not a random occurrence but a result of strong underlying fundamentals, according to market analysis. The move is supported by improved liquidity, stronger market structure, and persistent buyer demand. Analysts point to significant capital buildup on exchanges, including two large positions worth $16 million and $18 million prior to the surge. The breakout triggered forced short liquidations, further driving the price upward. On-chain data shows growing interest in XRP and the XRP Ledger (XRPL), with non-empty wallets reaching a record 7.7 million—the highest in its 13-year history. Active addresses also hit a 5-week high, indicating renewed retail and institutional engagement. This increased on-chain activity correlates with XRP's price surge of over 14% in 48 hours, breaching $1.60. The trend suggests a potential sustained upward movement if current conditions persist.

bitcoinist03/19 01:10

XRP $1.50 Breakout Was No Coincidence – Here’s What’s Happening Underneath The Move

bitcoinist03/19 01:10

The AI Cycle Is Here: Should Web3 Entrepreneurs Pivot to AI?

The article discusses whether Web3 entrepreneurs should pivot to AI amid the growing AI trend, using the metaphor of "raising lobsters" to symbolize the current hype. It notes that while Web3 projects are exploring AI agents for blockchain interactions, identity systems, and payments, many teams are merely chasing narratives rather than building sustainable products. The author cautions against abrupt shifts to AI, highlighting the high barriers, intense competition, and the risk of abandoning hard-earned Web3 expertise. Instead, they suggest a hybrid approach: leveraging Web3’s strengths—such as decentralized data verification, identity management, and micro-payment systems—to address AI’s unresolved challenges like data provenance, agent collaboration, and automated settlements. Key considerations for Web3 teams include assessing their core competencies (e.g., data infrastructure, identity protocols, or application layers), identifying real-world use cases with paying users, and evaluating existing resources (data networks, developer ecosystems) to avoid building in isolation. The goal is to abandon narrative-driven pivots and focus on practical integrations where crypto and AI complement each other.

marsbit03/19 00:33

The AI Cycle Is Here: Should Web3 Entrepreneurs Pivot to AI?

marsbit03/19 00:33

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