SPCX's largest short seller adds $7.25 million to its position today.

According to monitoring by Onchain Lens, Fasnara Capital’s total position size on Hyperliquid is approximately $222 million, of which 86.3% are short positions valued at around $192 million. The account currently has an overall unrealized loss of about $5.63 million. Its main positions include: BTC short positions worth $51.53 million, with an unrealized loss of $774,500; ETH short positions valued at $51.15 million, with an unrealized gain of $1 million; ZEC short positions worth $26.33 million, with an unrealized loss of $1.39 million; and SKHY long positions worth $21.68 million, with an unrealized loss of $2.64 million. The account has generated a profit of $10.08 million over the past 30 days, with a cumulative historical profit of approximately $122 million.

Harmony announced that it will shut down its block explorer explorer.harmony.one on November 18, 2026. The project team will provide a query tool at migrate.country, which supports looking up address activities and transaction records dating back to January 1, 2025.

JPMorgan Chase has lifted SpaceX’s price target from $240 to $500, while maintaining an "Overweight" rating. The bank now projects SpaceX’s 2027 revenue will reach $254 billion, its computing power capacity will hit 10 gigawatts (GW) by year-end, and has more than doubled its related forecasts for 2027 to 2028. JPMorgan also views a potential merger between SpaceX and Tesla as strategically significant, though it remains uncertain whether such a deal will materialize.

According to Onchain Lens' monitoring, a trader spent $8,790 to buy 19.2 million KIMCHI tokens, then sold the entire position for roughly $264,600, locking in a profit of $255,900. The trader currently holds no KIMCHI, with the sale proceeds amounting to about 30 times the initial principal. The token's average market cap stood at approximately $455,200 at the time of purchase, and around $13.7 million when sold.

Beating AI News Brief: South Korean gaming giant KRAFTON has released a preview of Raon-1 mini, a Mixture of Experts (MoE) language model trained from scratch. The model has a total parameter count of around 28.8 billion, with only 4.3 billion activated per inference. It is optimized for Korean dialogue, programming, and agent capabilities, supporting a 260,000-token context window. Though built from scratch, its underlying technology draws on innovations from Chinese tech firms: it uses a hybrid attention architecture, with 18 of its 25 layers employing a linear attention mechanism adapted from Kimi Delta Attention. The team also simplified DeepSeek’s mHC hyperconnection technology to cut training computational costs. KRAFTON’s test results show Raon-1 mini scored 70.8% in the SWE-Verified code repair test, outperforming Qwen3.6-35B-A3B’s 63.2% and nearly matching Meta Muse Glimmer’s 72.0%. However, it lagged in the Terminal-Bench Lite terminal operation test, scoring 47.0%—well below Qwen3.6-35B-A3B’s 63.3% and Muse Glimmer’s 70.7%. For instruction following test IFBench, it hit 84.2%, higher than both comparison models. The model weights are open-sourced under the Apache 2.0 license, with versions available in GGUF, MLX, and other formats, supporting local run on Mac. The NVFP4 quantized version can be deployed on a single RTX 5090. The team also offers the DFlash2 speculative decoding model, which in tests on a single NVIDIA B300 delivers up to 2.18x higher output throughput than standard decoding.

Well-known trader Doctor Profit posted that he believes Bitcoin is in a bull market, projecting it will surge rapidly to $86,000 in the coming hours to days before climbing further to $94,000. He noted the market is not yet prepared for this move.