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TRON (TRX) — Onchain News & Whale Tracking

Real-time TRON whale movements, exchange flows and onchain findings tracked by Lookonchain. 773 updates and counting.

2026.08.05 11:22

Samsung Electronics and SK Hynix are reportedly testing equipment from China's Advanced Micro-Fabrication Equipment (AMEC) to mitigate risks posed by U.S. export restrictions.

According to Reuters, three people familiar with the matter said Samsung Electronics and SK Hynix are evaluating etching equipment from China's Advanced Micro-Fabrication Equipment Inc. (AMEC) for use at their factories in China, to mitigate risks from further U.S. tightening of chip equipment export restrictions. The two firms began related tests around two years ago but have not yet decided to expand deployment. The sources added that Samsung and SK Hynix fear future restrictions could extend beyond new equipment to the maintenance, repair and replacement of existing Western-made equipment at their Chinese facilities, so they are eyeing Chinese suppliers as a backup option for maintaining and upgrading existing production lines, not for expanding production capacity in China. Samsung Electronics denied testing or considering using AMEC's equipment at its Chinese factories, while SK Hynix declined to comment. The U.S. revoked the "Verified End User" (VEU) status of the two companies' Chinese factories in 2025, and later issued annual licenses for them to import chip manufacturing equipment in 2026. Samsung operates a NAND flash factory in Xi'an, while SK Hynix runs a NAND plant in Dalian and a DRAM plant in Wuxi; these production lines currently rely heavily on etching equipment from U.S. firms such as Applied Materials and Lam Research. If AMEC's equipment is ultimately certified by Samsung or SK Hynix, it would represent a major commercial endorsement for Chinese semiconductor equipment manufacturers. Data from TechInsights shows Chinese equipment is typically priced 20% to 30% lower than comparable overseas products, but still faces barriers including longer certification cycles, smaller service networks, intellectual property concerns and political pressure.

2026.08.04 19:36

Wintermute: Marginal sell orders in crypto are nearly exhausted, but it is still not advisable to go heavy in betting on a strong rebound.

Wintermute noted in a post that the Federal Reserve held the federal funds rate steady last week, helping stabilize U.S. equities, in part due to the completion of large forced sell-offs. Leveraged AI fund Situational Awareness sold its disclosed holdings to Citadel at a discount. After AI infrastructure longs were crushed and AI software shorts were squeezed, chip stock sell-offs had become self-reinforcing, but the handover of positions allowed the market to absorb the Fed’s hawkish hold. The crypto market was relatively resilient: Strategy once again sold Bitcoin to cover preferred stock dividends, a firmware vulnerability in Coldcard led to the theft of large Bitcoin holdings from users, and altcoins continued to be offloaded. The sequence of U.S. equities releasing pressure first and crypto markets following aligned with prior assessments; major cryptocurrencies pulled back less than 4% amid multiple shocks, indicating marginal selling pressure is nearly exhausted. Heavy positioning to bet on a strong rebound remains inadvisable, but holdings and options data suggest some market participants may have been caught off guard by a short-term technical rally. This week, focus will be on ISM services and non-farm payrolls data; the Jackson Hole Symposium is the last clear signaling window from the Federal Reserve ahead of the September rate decision. Institutional OTC spot trading volume has risen to a record 72%, with liquidity further concentrating in mainstream assets.

2026.08.02 22:20

Nomura significantly raises Samsung Electronics' profit forecast, with its operating profit projected to exceed 770 trillion won by 2028, while free cash flow and shareholder returns are set to surge in tandem.

Citrini analyst Jukan cited Nomura Securities’ latest report, noting that Samsung Electronics’ operating profit forecast has been sharply revised upward. Nomura projects Samsung’s operating profit will rise from the current approximately 391 trillion won (around $271 billion) to 635 trillion won (about $440.1 billion), then climb further to 774 trillion won (roughly $536.4 billion). Its free cash flow will correspondingly increase from 296 trillion won to 456 trillion won, and then to 563 trillion won; shareholder return yield will jump from 11.2% to 17.6% before hitting a final 22.3%. Operating profits and margins for DRAM and NAND are expected to continue surging over the coming years. This upward revision aligns with earlier research from Bank of America Merrill Lynch (BofA ML). Samsung Electronics has tied 60% to 70% of its memory sales to long-term supply agreements, whose terms “limit price declines but allow unlimited upside”, effectively locking in demand from key clients while retaining flexibility for price hikes. Against the backdrop of sustained surges in AI capital expenditure and constrained memory capacity expansion, the strong pricing momentum of DRAM and NAND is directly translating into Samsung’s profit flexibility and cash flow returns, with Nomura’s forecast underpinning this logic.

2026.07.28 19:05

Citrini’s View: Nvidia’s Moat Remains Deep; HBM4 Costs Doubling Drives Up Rubin’s Pricing, With Its High Gross Margins and Strong Pricing Power Unshaken.

Citrini analyst Jukan cited Fubon Securities' *2027 Semiconductor Outlook* report, noting that although HBM4 costs will jump sharply from HBM3e's $17–18 per GB to $31–32 per GB in 2026, pushing Nvidia's Rubin GPU price to roughly $78,000–$80,000, Nvidia will still maintain a high gross margin of 75%–80%, with its pricing power and cost pass-through capability remaining unshaken. The report also pointed out that custom ASIC-based HBM could have even higher costs, reaching $35–36 per GB, meaning HBM costs will double by 2027. Fubon Securities remains optimistic about AI market demand, arguing that despite recent concerns over AI inflation, token costs are a more critical factor driving cloud service providers' capital expenditures. At the architecture level, Nvidia's new rack is still planned to use the same number of compute chips, with scale-up within racks via cables and scale-out between racks via NPO/CPO. Additionally, Google plans to deploy 12 million to 15 million TPUs by 2028, with production capacity more than doubling from 2027 levels; Intel's EMIB production capacity is expected to rise to 24,000–25,000 units per month by the end of 2027, while TSMC is slowing SoIC expansion to prioritize scaling up CoWoS capacity. The core conclusion is that even with changes to its cost structure, Nvidia's pricing power, gross margin, and demand support in the AI computing ecosystem still form an unassailable competitive moat.

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