Bitcoin Large Holders Open Massive Short Position Amid Brief Upward Move

bitcoinistPubblicato 2025-03-22Pubblicato ultima volta 2025-03-22

Introduzione

Excitement has swelled in the crypto community following Bitcoin's recent upward move to key resistance levels. While the move may...

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Excitement has swelled in the crypto community following Bitcoin‘s recent upward move to key resistance levels. While the move may have sparked optimism, many investors’ reactions toward BTC were negative as they continued to bet on a sustained decline, creating a bearish outlook for the asset.

Whale Shorting Activity On The Rise

As Bitcoin’s price struggles to break through key resistance levels, a worrying shift has been cited among big investors or whales. Alphractal, an advanced investment and on-chain data platform reveals rising pessimism among these investors as they bet on an extension of the ongoing correction.

BTC recently saw a brief surge to the $87,000 level even as volatility grows in the broader crypto market. However, the upward move was met with strong resistance as whale holders massively opened short positions after the upswing. “Whales Enter Short Positions on Bitcoin as Leverage Increases,” the platform stated.

Despite the brief move to the $87,000 mark, these big investors have chosen to close their long positions and open more shorts. Given the ongoing volatility of the market, this shift has raised questions about BTC’s prospects in the short term.

Whale participation often influences price trajectory, which could cause Bitcoin to continue dropping in the upcoming weeks. However, if buying pressure intensifies at critical support zones and creates a strong defense, BTC may move in an upward direction.

Bitcoin
Whales opening short positions | Source: Alphractal on X

Furthermore, Alphractal points to a rise in market leverage. After examining the Bitcoin Aggregated Open Interest/Market Cap Ratio, the platform noted that the metric is rising again, reflecting growing leverage. According to the platform, this increase in market leverage might set off a fresh round of volatility, resulting in further mass liquidations.

On-chain data have also revealed substantial sell pressure among Bitcoin large investors, triggering concerns about potential downside risks. Leading market intelligence and data analytics platform IntoTheBlock, outlined a decrease in whale balances as the market fluctuates.

Looking at the chart, BTC whales seem to have been trending downward for almost a year. However, data from March suggests a potential reversal as whales now hold about 62,000 more BTC than they did at the beginning of the month, signaling renewed accumulation.

BTC’s Price Trading Within Key Chart Pattern

The renewed accumulation by BTC whales raises the likelihood of a price reversal from the ongoing downtrend. This price reversal could be part of a larger trend as Captain Faibik, a crypto analyst and investor predicts an impending surge to its current all-time high. His prediction is supported by a key chart pattern, particularly the Falling Wedge formation. 

Captain Faibik believes that BTC could consolidate within the key pattern for the next 10 to 15 days before undergoing a huge bullish breakout. When this breakout happens, Bitcoin’s price will rally significantly to the $109,000 mark, reigniting the bull market.

Bitcoin
BTC trading at $84,178 on the 1D chart | Source: BTCUSDT on Tradingview.com
Featured image from Unsplash, chart from Tradingview.com
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Godspower Owie is my name, and I work for the news platforms NewsBTC and Bitcoinist. I sometimes like to think of myself as an explorer since I enjoy exploring new places, learning new things, especially valuable ones, and meeting new people who have an impact on my life, no matter how small. I value my family, friends, career, and time. Really, those are most likely the most significant aspects of every person's existence. Not illusions, but dreams are what I pursue.

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Samsung Relies on Technology Cycles, SK Hynix on HBM, How Did Micron Win a Trillion-Dollar Market Cap?

Micron Technology, the third-largest memory chip maker alongside Samsung and SK Hynix, recently saw its market cap surpass $1 trillion. Founded in 1978 in Boise, Idaho, Micron survived brutal industry cycles while American peers and Japan's memory sector faltered. Its survival is attributed to a dual strategy: leveraging political and legal avenues for critical breathing room, coupled with relentless manufacturing cost control. Historically, Micron sought U.S. government intervention three times. In 1985, it filed an anti-dumping complaint against Japanese firms, leading to the U.S.-Japan Semiconductor Agreement. Ironically, this created an opening for Samsung, which later became its toughest competitor. In 2002, Micron turned "whistleblower" in a DRAM price-fixing investigation, escaping penalties while rivals were fined. In 2017, it sued China's Fujian Jinhua, contributing to its placement on a U.S. entity list, stifling a nascent competitor. However, a major strategic misstep occurred in 2013 with the acquisition of bankrupt Japanese firm Elpida. Integrating Elpida's mobile-DRAM-focused technology diverted resources, causing Micron to miss the critical early decade of development for High Bandwidth Memory (HBM)—the high-performance memory essential for AI chips like NVIDIA GPUs. By the time AI demand exploded in 2022, SK Hynix, which launched the first HBM in 2013, held about 85% of the HBM3 market, leaving Micron with roughly 3%. Micron now faces a triple squeeze. In the high-end HBM market, it lags significantly behind SK Hynix and Samsung. In the mid-to-low end DRAM market, it faces aggressive price competition from China's CXMT. Furthermore, a 2023 Chinese cybersecurity ban on its products slashed its revenue from China, a once-core market, from over 10% to just 7.1% by FY2025, causing it to exit China's data center server business. Beneath its political maneuvering lies Micron's core strength: exceptional manufacturing efficiency and cost control. Decades of engineering have yielded DRAM chips with a smaller cell area than rivals, meaning more chips per wafer and lower unit costs. This efficiency, not subsidies, has allowed it to withstand price wars. While political leverage bought time, Micron is now paying a "time debt" in the HBM race. It is racing to ramp up HBM3E production and develop HBM4, but catching up to competitors who started a decade earlier is a monumental challenge. Its future hinges on whether its expertise in cost control and political strategy can compensate for the lost time in a technology race where early-mover advantage is decisive.

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New AMD Paper Overturns Conventional Wisdom: FP4 Training Instability's Cause Is Not Insufficient Randomness

AMD's new research challenges the conventional understanding of FP4 training instability. While reducing precision from FP8 to FP4 promises doubled computational throughput and is supported by new hardware like NVIDIA Blackwell and AMD MI350 series, training large language models natively with FP4 has been notoriously unstable, often attributed to insufficient stochasticity. The paper "Pretraining large language models with MXFP4 on Native FP4 Hardware" demonstrates successful end-to-end FP4 pre-training of Llama 3.1-8B on AMD MI355X GPUs using the MXFP4 format, achieving a 9-10% overall speedup over FP8. Crucially, it identifies the root cause of instability: not randomness, but the accumulation of *structural micro-scaling errors* along the sensitive weight gradient (Wgrad) path. Through controlled experiments, researchers found that quantizing the Wgrad operation to FP4 caused significant convergence degradation. Counterintuitively, common stochasticity-based mitigation techniques like stochastic rounding and randomized Hadamard transforms worsened performance. In contrast, applying a *deterministic* Hadamard transform successfully stabilized training by ensuring consistent error patterns, reducing the extra token cost from 26-27% to just 8-9%. This work has significant implications: 1) It provides a clear diagnostic for low-precision training instability, steering focus towards structural errors. 2) It pushes FP4 from a primarily inference-focused format into the realm of viable training. 3) It leverages the open OCP Microscaling (MX) standard, promoting cross-vendor compatibility. The research marks a critical step towards more economical large model training by further pushing the boundaries of low-precision computation.

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Will ONDO's 'Tokenization Narrative' Change After Its CEO's Unexpected Passing?

Ondo Finance founder and CEO Nathan Allman has passed away unexpectedly. Allman, a Brown University graduate with a background in private credit and Goldman Sachs' digital asset team, was a key architect of Ondo's pivot from DeFi structured yield products to becoming a leading Real-World Asset (RWA) protocol. He drove the strategy to tokenize traditional financial assets like US Treasuries (OUSG), yield-generating dollar assets (USDY), and US stocks/ETFs (Ondo Global Markets) for on-chain accessibility. The company announced that President Ian De Bode, a former McKinsey partner with a strong institutional strategy and operations background, will succeed Allman as CEO. While Allman's sudden departure presents a near-term challenge, testing market confidence and Ondo's continuity, the project is seen as more than a founder-driven narrative. It has an established product suite and a management team with deep traditional finance experience. The long-term impact hinges on the new leadership's ability to execute. De Bode's expertise in compliance, distribution, and institutional partnerships aligns with RWA's next phase of scaling infrastructure. The core question is whether Ondo can maintain its product momentum and institutional relationships. Ondo's native ONDO token represents governance and RWA narrative value, not direct revenue from the underlying assets. Its future as a "top tokenization play" will depend on the team's continued delivery of product growth, asset scale, and real-world demand, moving beyond the initial emotional shock.

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Bankless Co-founder's Confession on Selling Off ETH: Ethereum Did the Right Thing, but 'ETH as Money' Has No Future

Bankless co-founder David Hoffman recently sold his remaining ETH holdings, sparking debate within the Ethereum community. In a detailed explanation, Hoffman clarifies that his decision was not based on bearish sentiment towards Ethereum itself, which he remains highly optimistic about, but rather on the conclusion that the "ETH is Money" narrative has largely run its course. Hoffman argues that for ETH to achieve its envisioned status as global money, Ethereum needed to execute flawlessly across multiple layers—governance, technology, and market dominance—in a highly coordinated manner. He acknowledges Ethereum's significant successes and current justified valuation but suggests the window for a major revaluation based on this monetary narrative is closing. The post examines several challenges: the strong correlation between L1 chain activity/fees and native token value; the perceived failure of the "strong version" of crypto (user-owned, egalitarian systems) versus the rise of a "weak version" (efficient ledger technology for traditional finance); and the possibility that ETH's momentum as money was uniquely tied to the distorted conditions of the 2020-2021 period. Crucially, Hoffman highlights a structural tension: Ethereum is architected as a "giver, not a taker," providing critical infrastructure like secure block space and tokenization at cost. This ethos benefits the broader ecosystem (applications, L2s) but doesn't prioritize extracting maximum value for ETH itself. The "ETH is Money" thesis required Ethereum to win a war of overwhelming market dominance—a war its design philosophy refuses to explicitly fight. Therefore, while he sees continued immense success for the Ethereum network and its ecosystem (following a "fat application" theory where value accrues to apps and L2s), Hoffman finds it increasingly difficult to foresee a structural upward revaluation for the ETH asset based on the monetary narrative. His capital reallocation reflects a belief that this particular investment thesis has played out.

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