# Сопутствующие статьи по теме Investment

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

Bitcoin ETF Inflow Streak Expands To 7 Days After $199M Spike

Bitcoin spot ETFs have recorded seven consecutive days of inflows, with a notable $199 million net inflow in the latest surge, signaling a potential return of investor demand. Similarly, Ethereum spot ETFs saw six straight days of inflows, including $138 million recently. This renewed interest coincides with price recoveries, as Bitcoin rose to around $73,900 and Ethereum reached $2,300. The trend suggests growing institutional confidence, contrasting with earlier outflows during bearish market conditions. Additionally, the top 100 USDC addresses on Ethereum now hold a record 32.71 billion tokens, indicating significant stablecoin holdings among large wallets.

bitcoinist03/19 11:32

Bitcoin ETF Inflow Streak Expands To 7 Days After $199M Spike

bitcoinist03/19 11:32

River (RIVER) Price Prediction 2026, 2027-2030

This article provides a technical analysis and price prediction for the cryptocurrency River (RIVER) from 2026 through 2030. At the time of writing, RIVER is trading at $27.02 with a market cap of $530.39M. The analysis identifies a bearish Rising Wedge pattern, suggesting a potential price reversal. Key resistance levels for 2026 are identified at $29.40 and $61.55, while support levels are at $12.28 and $6.20. Technical indicators present a mixed outlook: the 50-day Moving Average signals a bullish trend, but the Relative Strength Index (RSI) indicates the asset is overbought, and trading volume is weak. The Average Directional Index (ADX) shows a strong trend momentum, while the Relative Volatility Index (RVI) points to high volatility. The price action of RIVER is noted to correlate with Bitcoin and Ethereum. Long-term predictions are highly speculative, with a bullish scenario projecting prices of $160 (2027), $170 (2028), $180 (2029), and $190 (2030). Conversely, bearish scenarios suggest prices could fall to as low as $5, $4, $3, and $2 in those respective years. The conclusion states that if market momentum turns positive, RIVER could surpass its all-time high of $87.79 and potentially reach $100.

TheNewsCrypto03/19 10:20

River (RIVER) Price Prediction 2026, 2027-2030

TheNewsCrypto03/19 10:20

Meta Spent $90 Billion to Close the Metaverse, $2 Billion to Let AI Live in Your Computer

Meta spent $90 billion to build the metaverse, only to shut down its flagship VR platform, Horizon Worlds, on June 15. The virtual world, launched in 2021 with great fanfare, failed to attract a meaningful user base despite massive investment. Its closure marks a symbolic end to Meta’s ambitious—and costly—bet on the metaverse, which accumulated nearly $90 billion in losses over seven years. Simultaneously, Meta is aggressively pivoting to AI. It acquired AI startup Manus for $2 billion, which recently launched a desktop version allowing AI to operate directly on users' local machines—reading files, running apps, and executing commands. In contrast to the metaverse’s weak adoption, Manus reached one million paid users within eight months. The shift is stark: Meta is cutting 20% of its workforce—around 15,000 jobs—and reallocating nearly its entire $115–135 billion capital expenditure budget toward AI infrastructure. This abrupt turn reflects industry-wide FOMO (fear of missing out) on AI, similar to the metaverse hype half a decade ago. Companies like Block, Shopify, and Amazon are also slashing jobs to fund AI investments. While Meta faces internal challenges—including delayed AI models and executive departures—its drastic realignment underscores a broader trend: the consensus has shifted from virtual worlds to ambient AI. The question remains whether this new bet will prove more sustainable than the last.

marsbit03/19 04:53

Meta Spent $90 Billion to Close the Metaverse, $2 Billion to Let AI Live in Your Computer

marsbit03/19 04:53

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

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

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

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