Market Divergence: SOL Becomes Institutional Darling, Terra Ecosystem Completely Collapses, ZEC Shorts Forced to 'Hold the Bag' by Whales?

金色财经Опубліковано о 2025-12-12Востаннє оновлено о 2025-12-12

Анотація

The cryptocurrency market is currently experiencing significant divergence, with some assets surging while others face severe downturns. Bitcoin (BTC) is testing a critical resistance zone between $92,000 and $94,000. A successful breakout could propel it toward $100,000, while failure may lead to a pullback below $90,000. Similarly, Ethereum (ETH) is approaching its key level at $3,400. Holding above this could push it to $3,700-$3,800, otherwise a retest of $3,000 support is likely. Solana (SOL) has emerged as a major institutional favorite. Despite market volatility, SOL ETFs continue seeing consistent inflows. Support from major platforms like Coinbase, which integrated Solana DEX functionality, and growing adoption by traditional finance giants like JPMorgan and Nasdaq, highlight strong fundamental strength. Accumulating SOL gradually is recommended. In contrast, the Terra ecosystem (LUNA, LUNC, USTC) has effectively collapsed. Founder Do Kwon received a 15-year prison sentence, and the project's $40 billion collapse triggered a broader market crisis. These assets are considered uninvestable. Zcash (ZEC) presents a cautionary tale for short sellers. Many are trapped in losing positions as large holders (whales) maintain price range, collecting funding rates systematically. This strategy allows whales to profit from perpetual funding while gradually squeezing shorts. The lesson: take profits quickly when shorting ZEC and avoid greed. Overall strategy: Wait for BTC/E...

The crypto space is truly a case of "some rejoice while others mourn"! Some coins are being frantically bought by institutions, some have been handed a death sentence, and others are leaving short sellers crying in the bathroom — this article breaks down the trading logic of the hot coins clearly. Save it now!

BTC/ETH: Stuck at Key Levels, Only a Breakout Brings Opportunity!

BTC: The $92k-$94k Line is a Matter of Life and Death

Big Brother Bitcoin is back in the $92,000-$94,000 resistance zone! Now it's up to the bulls: if they can break through this range, the next target is directly aiming for $100,000; if they can't break through, it will likely fall back below $90,000. This back-and-forth is so tedious~

ETH: $3400 Determines the Direction

Ethereum is charging at the resistance level again! The key is to see if the daily chart can hold firmly above $3400: if it holds, it will run towards $3700-$3800; if it fails to hold, it will have to go back and test the $3000 support. Don't blindly chase the high, wait for a clear direction before acting!

SOL: The 'Potential Stock' Frenziedly Bought by Institutions, Buying a Little Daily is Worth It!

If we're talking about the altcoin most favored by institutions right now, SOL definitely takes first place! Its fund flows are too strong:

  • It's been almost two months since the ETF approval, and no matter how much the market falls, funds have been quietly adding to their positions, completely unfazed;

  • Coinbase directly added DEX trading functionality for the Solana ecosystem in its official App, essentially opening a "green channel" for SOL;

  • From JPMorgan to Nasdaq, traditional finance bigwigs are building on the Solana chain, making the ecosystem increasingly stable!

Remember: follow the market funds, don't be swayed by various bull/bear news! SOL is currently a key target for institutional布局 (layout). Buy a little bit daily and accumulate slowly, making money is just a matter of time~

Terra Ecosystem (LUNA/LUNC/USTC): Game Over! Founder Sentenced, Paying for the $40 Billion Loss

The Terra ecosystem is completely finished! Founder Do Kwon has been sentenced to 15 years in prison. The "crash disaster" he created back then directly evaporated $40 billion and triggered a chain reaction: FTX collapsed next, trust in algorithmic stablecoins completely crumbled, and the crypto market went into winter~

LUNA, LUNC, and USTC are now completely battered by the fall. This isn't a simple pullback; it's the complete landing of negative news. There's little chance of a comeback later. Don't even think about buying the dip, don't touch them!

ZEC: Stubborn Shorts Get Trapped, Whales Profit by 'Sideways Movement'!

ZEC short sellers have had it rough lately! Many opened short positions hoping to make a profit, but ended up getting trapped deeper, and some fearless ones kept charging in, being extremely stubborn~

Especially the "top short seller" with the largest position, who was already profitable but didn't close the position, is now back in the red! Although they reduced their position a bit when the price dropped to the 300s, most of the position is still there. Fortunately, the whale has sufficient margin, with a liquidation point at $1057U, so they are safe for now, but the后续 (follow-up) is even more uncomfortable:

The whales have no intention of making big pumps or dumps; they just maintain the current price sideways, making money daily by collecting funding fees! Even though it's collected only every 8 hours, the large position size means they earn a significant amount~ They can even use the collected funding fees to slowly pump the price, wearing down these short sellers!

So ZEC isn't impossible to short, the key is to know when to stop, take profits and run quickly when you have them, don't linger. Money in hand is real money!

Summary: Wait for a breakout before acting on BTC/ETH, SOL can be accumulated daily with small positions, blacklist the Terra ecosystem entirely, don't be greedy when shorting ZEC.

Пов'язані питання

QWhat is the key resistance range for Bitcoin (BTC) according to the article?

AThe key resistance range for Bitcoin (BTC) is $92,000 to $94,000. A successful break above this range could target $100,000, while a failure could see the price drop back below $90,000.

QWhy is Solana (SOL) considered a favorite among institutions?

ASolana (SOL) is favored by institutions because its ETFs have seen consistent capital inflows for nearly two months, Coinbase has integrated Solana ecosystem DEX trading, and major traditional finance players like JPMorgan and Nasdaq are building on its blockchain, indicating strong and stable ecosystem growth.

QWhat was the outcome for Terra's founder, Do Kwon, and its ecosystem tokens?

ATerra's founder, Do Kwon, was sentenced to 15 years in prison. The Terra ecosystem tokens (LUNA, LUNC, USTC) have crashed significantly following the $40 billion collapse, and the article advises against any investment in them as they are considered to have no recovery potential.

QWhat is the current trading strategy suggested for ZEC based on the article?

AThe article suggests that shorting ZEC can be done but advises taking profits quickly and not being greedy. It highlights that large holders (whales) are maintaining a sideways price action to collect funding fees from over-leveraged short sellers, making it risky to hold short positions for too long.

QWhat is the critical price level that Ethereum (ETH) needs to hold on a daily close for a bullish move?

AEthereum (ETH) needs to achieve a daily close above $3,400 to potentially move towards the $3,700-$3,800 range. If it fails to hold this level, it may fall back to test support at $3,000.

Пов'язані матеріали

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

The stock price of Marvell Technology surged 32.5% on June 2nd, driven by NVIDIA CEO Jensen Huang highlighting its custom ASICs and optical interconnects as core to AI data center architecture. This event brought attention to the Chinese semiconductor family behind Marvell: the Dai siblings. The story centers on three siblings, all UC Berkeley graduates, whose three-decade entrepreneurial journey aligns with major semiconductor industry shifts. In 1995, youngest sister Dai Wei Li co-founded Marvell with her husband Sehat Sutardja and his brother, focusing on storage controllers. Eldest brother Dai Wei Min founded EDA company Ultima, later sold to Cadence, and later founded VeriSilicon (芯原) in China, becoming a leading semiconductor IP provider. Second brother Dai Wei Jin co-founded EDA firm Silicon Perspective (sold to Cadence) and GPU IP company Vivante, later acquired by VeriSilicon. The combined "Dai-Sutardja" family network extends beyond Marvell. Their ventures and investments form a comprehensive ecosystem for the post-Moore's Law, chiplet era. Key holdings include: Dream Big Semiconductor (AI SuperNICs, acquired by Arm), Alphawave (high-speed SerDes IP, acquired by Qualcomm), and Silicon Box (a chiplet advanced packaging foundry). VeriSilicon itself thrives on the AI ASIC and IP boom in China. Collectively, the family's AI infrastructure-related portfolio is estimated at over $22 billion. Their strategy represents a distinct path: building critical components for open standards and key manufacturing capacity in the chiplet era, rather than pursuing standalone AI chip dominance. While this path may not create the next NVIDIA, it has enabled repeated successful exits and sustained influence within the global semiconductor industry.

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Microsoft is Afraid of Being Marginalized by AI Giants

Microsoft, once the defining force of the PC era, now faces a familiar challenge in the AI age: the risk of being relegated to a profitable but invisible infrastructure provider. This anxiety was laid bare at Build 2026, where CEO Satya Nadella unveiled a major strategic pivot. The catalyst was a quiet April agreement that dissolved Microsoft's exclusive licensing and cloud-hosting deal with OpenAI, its once-vital partner. This erased Microsoft's key AI moat. With OpenAI and Anthropic defining AI applications and gaining enterprise traction—even within Microsoft's own ranks—Nadella had to answer: without exclusivity, what is Microsoft's role? The answer was a suite of seven in-house AI models, a developer-focused AI workstation (Surface RTX Spark Dev Box), and, most crucially, the Agent 365 platform for enterprise AI governance. The models, notably targeting Anthropic's strengths in coding and enterprise, signal a defensive move. However, the broader strategy is to make the models themselves less decisive. Financially, Microsoft's AI revenue is strong, driven largely by Azure running others' models. Yet its user-facing products like Copilot show weak penetration and engagement. Microsoft earns infrastructure money but lacks direct user mindshare. Nadella's core fear is being "hollowed out." As OpenAI and Anthropic prepare for IPOs and gain financial independence, they may build their own infrastructure, threatening Azure's lucrative AI revenue stream. Microsoft's window is to entrench itself deeper: not as the model creator, but as the indispensable platform for securely deploying, managing, and governing all AI models within the enterprise through Agent 365. Build 2026 revealed Microsoft's bet: in the AI era, the ultimate power lies not in any single model, but in the enterprise "operating system" that controls them. Nadella is determined to ensure Microsoft is the driver of this new era, not just a passenger.

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CPU, Quietly Returning to the Center of the AI Computing Power Stage

Over the past three years, AI computing power narratives have been dominated by GPUs. However, starting in 2026, this story began to shift. While training large models remains GPU-intensive, the rapid growth of inference and AI agent workloads, which require high levels of task orchestration, concurrency, and data flow management, has highlighted a renewed critical role for CPUs. These are tasks GPUs are not designed to handle. Intel's recent launch of the Xeon 6+ processor, built on its Intel 18A process and featuring up to 288 efficiency cores (E-cores), exemplifies this strategic pivot. It is positioned not as a mere companion to GPUs but as the essential "control plane" for AI infrastructure, optimized for high-density, energy-efficient, and high-throughput workloads characteristic of AI agents and inference. This "CPU resurgence" is not about CPUs outperforming GPUs in raw computation. It reflects a systemic bottleneck: as AI scales from training single models to deploying countless intelligent agents, the demand for coordination and data handling surges. Major cloud providers are also developing their own high-density ARM-based server CPUs for similar workloads. However, Intel's success with this strategy faces significant challenges. Competition includes NVIDIA's integrated CPU-GPU solutions, the expanding adoption of cloud vendors' in-house ARM CPUs, and the crucial market test of Intel's 18A manufacturing process against rivals like TSMC's N2. In conclusion, CPUs are indeed reclaiming a central, though redefined, role in AI compute—managing the complex orchestration that enables massive-scale AI deployment. While the trend is clear, which company will ultimately lead this CPU resurgence remains an open question to be decided in the data centers of 2027 and beyond.

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553 переглядів усьогоОпубліковано 2024.12.12Оновлено 2026.06.02

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