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TRON (TRX) — Onchain News & Whale Tracking

Real-time TRON whale movements, exchange flows and onchain findings tracked by Lookonchain. 980 updates and counting.

2026.10.15 15:39

Neutron’s key component manufacturing has hit snags, its maiden launch delayed once again, sending RKLB shares plummeting nearly 15%

Rocket Lab announced it has pushed back the first launch of its Neutron medium reusable rocket from the fourth quarter of 2026 to 2027, primarily due to manufacturing issues with carbon fiber composite parts for the rocket’s first-stage propellant tank. The company still needs to carry out design optimization and adjust production processes. This is not the first technical setback Neutron has encountered: in January this year, the rocket’s first-stage tank ruptured during a pressure test, leading to extended subsequent manufacturing and verification work. The latest delay further pushes back Rocket Lab’s timeline to enter the medium launch vehicle market and compete with SpaceX for large satellite launch contracts, while also extending risks related to its R&D costs and commercial revenue realization cycle. Hit by the news, RKLB (Rocket Lab’s US stock) fell further in after-hours trading. Per TradingBeats monitoring, RKLB on Hyperliquid is currently trading at $54.53, down roughly 14.8% in 24 hours. A whale holding around 44,400 RKLB long positions was liquidated this morning, with a nominal transaction amount of about $2.49 million and a trading loss of approximately $740,000 (0x58f0). In an August 11 Bloomberg report, Rocket Lab had previously stated that its Neutron rocket project faced new delay risks, with the first launch possibly pushed to 2027. The company plans to deliver Neutron to the launch pad in the fourth quarter as scheduled, but has not confirmed the rocket will complete its first flight this year. Rocket Lab had originally targeted a first Neutron launch by the end of 2026. Earlier update: Rocket Lab warned of delay risks for Neutron’s first flight, potentially pushing it to 2027.

2026.10.14 09:03

South Korea’s semiconductor stock market has rebounded, with SK Hynix gaining 3.47% and Samsung Electronics rising 3.66%.

According to Bitget market data, South Korea’s semiconductor stock market is rebounding. The KOSPI Composite Index is currently up 1.52%, with SK Hynix rising 3.47% and Samsung Electronics gaining 3.66%. Prior to this, South Korea’s stock market had seen five consecutive trading days of sell-offs, with semiconductor stocks experiencing particularly sharp declines. Market concerns first stem from China’s growing competitiveness. ChangXin Memory Technologies recently disclosed that it has made key progress on a memory chip architecture that Samsung Electronics and SK Hynix are also developing. While this technological breakthrough is still far from translating into large-scale, commercial competitive production capacity, investors have begun reassessing how the catch-up of Chinese storage manufacturers will impact the future pricing power and valuation premiums of South Korea’s two leading chip firms. Marginal shifts in AI investment logic have also amplified the downturn. Broadcom CEO Hock Tan noted that demand for computing power infrastructure still exceeds the industry’s current supply, and the supply-demand gap may persist until 2029 or even 2030. As hardware bottlenecks such as chips, memory, and power gradually ease, access to capital could become the biggest constraint on AI expansion. Many AI investors do not clearly understand the business models they are betting on, yet set extreme expectations, ultimately making this round of investment "almost like being in a casino".

2026.10.06 22:38

Mistral Large 4 Launched: 1.05 Trillion Parameters, Claims to Be Europe and the U.S.’s Strongest Open-Source Model

Beating AI News: French AI firm Mistral has launched its new flagship model, Mistral Large 4, internally codenamed "Le Chonk". It adopts a Mixture of Experts (MoE) architecture, with a total of 1.05 trillion parameters, though only 49 billion are activated per inference. The model natively supports text and image input, and offers a maximum context length of 1 million tokens. Its API is now available for preview, while the model weights are scheduled to be released publicly on October 27. Mistral claims Large 4 is currently the highest-performing open-weight model developed in the U.S. and Europe. Its official DeepSWE v1.1 software engineering benchmark score stands at 62%, compared to GLM-5.3 (61%), DeepSeek V4 Pro (57%), and Qwen 3.8 Max (51%). For financial benchmarks, Finch scores 67%, on par with DeepSeek V4 Pro; satellite image target localization task DIOR-RSVG scores 73%, higher than GPT-6 Astra's 68%. However, these results are primarily from Mistral's self-testing, not based on a unified standardized testing framework. When Zhipu AI launched GLM-5.3, it announced a score of 66.9% on the same DeepSWE v1.1 benchmark, while Kimi K3 reached 67.5% – both outperforming Large 4's 62%. The gap may stem from different testing configurations and execution methods used by various teams. Large 4 is trained from scratch: Mistral used around 4,000 Nvidia Grace Blackwell GPUs in its own European data centers over approximately two months. Mistral also positions "European autonomy" as a key selling point, noting that the model – from training and API services to future independent deployment – can all be hosted on European infrastructure.

2026.10.04 22:43

Ansem: Strong altcoins will keep emerging during a bull market, so investors should continuously seek excess return opportunities.

Crypto trader Ansem wrote that constantly monitoring the market and judging price trends based on 15-minute K-lines tends to lead to overtrading. Investors should manage separate accounts for spot trading, perpetual contracts, and high-risk on-chain transactions, and avoid attempting to catch every local top and bottom, as this can erode long-term investment returns. Rather than trading frequently, study past bull markets to observe how long uptrends typically persist. Altcoin rally cycles are usually faster, often outperforming the market for 4 to 6 months before new market leaders emerge—especially after a market cap increase of over 10x. However, this cycle may have a few exceptions: some altcoins will see significant revenue growth alongside price gains, so their fundamentals may improve in parallel. In prior cycles, altcoins mostly peaked due to shifting market attention and fading momentum, but this time, if projects post substantial improvements in metrics like revenue, institutional funds may continue buying actively, and investors need to adjust their existing judgments promptly based on new information. In the last cycle, Bitcoin bottomed in January 2023 and peaked in October 2025, with its uptrend lasting roughly 33 months. If this cycle bottomed in July, it is only in its 4th month currently. He notes that longer-term bull markets will see multiple "mini bull runs" led by specific altcoins, and investors need to identify these period-specific strong assets, reinvest profits into high-performing targets, and gradually convert short-term winners into long-term investments.

2026.10.03 16:44

Bonk Guy: SI has performed strongly after a pullback, with its holder count surpassing 60,000 in a week.

Renowned crypto trader Bonk Guy stated in a post that SI has shown strong resilience amid recent market downturns, with its price action bottoming out and entering a consolidation phase. Bonk Guy noted SI’s fundamentals include: within a week of launch, its holding addresses exceeded 60,000, with 30,000 new holding addresses added in a single day—making it the first meme project in over a year to reach this growth pace. Even amid market pullbacks, its daily trading volume remains in the $15 million to $20 million range. Additionally, SI features a tokenized NVDA reward mechanism; as one of its largest holders, he earned five-figure USD worth of rewards within a week. Discussions about AI and SI’s brand transformation involving Trump and multiple tech industry figures, alongside competition from other communities and participants for SI, have further boosted the project’s market visibility. Bonk Guy also mentioned SI has now been listed on centralized exchanges including Crypto.com and Gate, with more platforms likely to follow. He explained that centralized exchanges typically do not list meme coins early unless they identify high growth potential. With factors including its large holding scale, trading volume, market attention, reward mechanism, and expanding exchange support, Bonk Guy believes SI could become one of the major meme projects in this cycle.

2026.09.30 19:44

Analysis: The threat posed by a stronger U.S. dollar to Bitcoin may be overestimated, as the two assets have a weak long-term correlation.

A stronger U.S. dollar is generally seen as a headwind for U.S. dollar-denominated assets like Bitcoin and gold. The U.S. dollar is the world’s primary reserve currency and debt-denomination currency; when it appreciates, repayment costs for U.S. dollar debt borrowers rise, typically leading to reduced exposure to risk assets. The U.S. Dollar Index (DXY) has risen roughly 2.6% since September 9, hitting a two-month high of 101.69 on Tuesday. Bitcoin, after approaching $87,500 on September 21, has pulled back to the $83,000–$84,000 range. A stronger dollar may cap its upside, but the impact remains relatively limited for now. TradingView data shows that over the past 90 trading days, the daily correlation coefficient between Bitcoin and the DXY is -0.41, the lowest since February 2023, indicating the two tend to move inversely. However, the corresponding coefficient of determination is only 0.17, meaning the DXY explains roughly 17% of Bitcoin’s daily return volatility. The 30-day correlation coefficient between the two is -0.45, but this result is largely skewed by two exceptional sessions on August 19 and September 3, when Bitcoin rallied over 5% while the DXY fell. Excluding those two days, the correlation drops to -0.19. Looking at a longer timeline, since January 2020, the average 90-day correlation coefficient between the two is just -0.14, and it once rose to +0.22 in November 2024. Bitcoin also shows no significant correlation with U.S. Treasury yields, indicating its movements are largely driven by its own factors. Technically, the DXY has reclaimed the Ichimoku cloud, but has not yet broken through the 101.80 resistance level. A breakout could end the sideways consolidation that has persisted since May 2025 and trigger an accelerated rally.

2026.09.28 11:14

Samsung Electronics speeds up construction of its first mass production line for P5, advancing the equipment import timeline to Q2 next year.

Samsung Electronics is accelerating construction of the first mass production line (Phase 1, Ph1) at its Pyeongtaek Campus 5 (P5). According to reports, Samsung is in talks with major equipment suppliers to bring forward the Ph1 equipment installation timeline from the originally scheduled third quarter of next year to the second quarter. Driven by surging demand for high-end DRAM and NAND in the AI sector, Samsung aims to speed up its capacity expansion. P5 is Samsung Electronics’ next-generation semiconductor production base, slated to launch operations in 2028. This year’s third quarter saw Samsung kick off construction of the Ph1 cleanroom, which is primarily used to control micro-pollutants and environmental conditions such as temperature and humidity inside the wafer fab. Samsung had previously planned to complete the Ph1 cleanroom at P5 by early next year, but had already advanced the timeline by roughly six months, so equipment introduction was initially expected in Q3 next year. However, Samsung’s equipment investment progress for P5 has further accelerated recently. An industry insider noted that Samsung has informed relevant parties of its plan to shift the Ph1 equipment arrival time from the original July-August next year to May-June next year. Given the early completion of the cleanroom, the project schedule had already been adjusted once before, and the overall investment pace has now quickened further.

2026.09.26 00:58

Cosmos Hub Recovers 1.227 Million ATOM from Neutron Attack, Funds Temporarily Held in 4/6 Multi-Signature Address

Cosmos Labs released a disclosure stating that on September 22, Neutron suffered a governance attack, resulting in the theft of liquidity from protocols including Astroport. Approximately 1.73 million ATOM were subsequently transferred by the attacker to the Cosmos Hub. The Cosmos Hub itself was not targeted in the attack, and user funds remained unharmed. To block the stolen ATOM from being further moved, Hub validators temporarily paused the network for roughly 24.5 hours, resuming block production on September 23 using the patched Gaia v28.3.0. Cosmos Labs added that during the pause, 1.227 million ATOM stayed in the attacker’s Hub address. Upon network recovery, these funds were transferred in a single operation to a 4/6 multi-sig address made up of Nansen, Keplr, Enigma, Silknodes, Kiln, and Polkachu. Earlier, around 500,000 ATOM had been swapped for ETH via THORChain and cannot be recovered. An additional 169,000 ATOM entered the attacker’s address via a THORChain refund after the network came back online, and were later transferred to Osmosis and sold. The multi-sig address currently holds approximately 1.227 million ATOM, which can only be returned following authorization via a Cosmos Hub governance proposal. The funds will not be staked, lent, or traded. The Neutron team is expected to submit a recovery plan and related governance proposal next week.

2026.09.24 11:11

Viewpoint: The halving of LLM token prices does not signal a weakening in AI demand; the GPU computing power rental market remains robust with strong demand.

Professional data firm Silicon Data published a report noting that the market has recently frequently cited its LLM Token Index as a basis for bearish bets on AI trading, but the index’s decline does not signal a weakening of AI demand or model-layer profits. Silicon Data explained that its LLM Token Index measures the actual price paid per million tokens by API users in its sample — referred to as the "usage-weighted price" — rather than token volume or total spending. The index fell 52% from $2.07 on May 28 to $1 on September 21, but had risen 67% between January and its May peak, meaning price movements alone cannot serve as a direct indicator of AI industry sentiment. The firm pointed out that the recent index decline mainly reflects more tasks being allocated to cheaper, faster models, while AI labs continue rolling out additional mid-tier models. Since tokens do not fully represent AI capabilities, the index also cannot distinguish between model substitution and more efficient agent routing on its own. By contrast, the GPU computing power rental market still shows strong demand. Silicon Data’s data shows that rental prices for H200 GPUs at non-hyperscale cloud providers rose from an average of $2.87 in June to $3.29 currently, hitting $3.32 on September 19; B200 GPUs now trade at $5.76, up 7% year-over-year and 31% year-to-date; B300 GPUs have risen 44% since their launch at the end of April. Silicon Data believes that with the large-scale adoption of agents, the vast majority of tokens in the future will likely come from cheap, fast models, so token prices can continue to decline while total token volume still grows significantly. The firm added that truly high-value tasks will likely remain concentrated on frontier models, and the widespread adoption of AI means demand for computing power could be "more, not less".

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