10 #Bitcoin ETFs outflows 3,062 $BTC(-$302.76M) and 9 #Ethereum ETFs outflows 16,114 $ETH(-$53.01M) yesterday.

Well-known trader Killa recently released a video predicting market trends around the U.S. midterm elections. His analysis summarizes the historical timeline correlation between midterm elections and Bitcoin’s bottoming: in 2014, Bitcoin bottomed roughly 70 days after the midterms; in 2018, 40-44 days post-midterms; in 2022, it bottomed almost during the midterm period itself. He believes Bitcoin could form a weekly-level bottom ahead of the November 3 U.S. midterms. Killa outlined two main scenarios: 1. Early bottom scenario: BTC forms a low before or around the midterms (possibly testing the current low, or holding above $80k), then rebounds, first testing the $80k zone, and potentially hitting $95k eventually. This would lead to a bullish fourth quarter, contrary to the widespread expectation of "post-election de-risking". 2. Classic de-risking scenario: Bitcoin rallies to a high (possibly hitting $94-$95k), then sees the typical post-election sell-off/de-risking drop observed in history (3 out of the past 4 midterm cycles followed this pattern). Killa advises investors to closely monitor price action ahead of the midterms and adjust positions accordingly: if an early bottom forms, hold bullish positions post-election; if the rally weakens after peaking, consider de-risking. He stresses that patterns are accelerating, so the historical "post-election must fall" experience cannot be simply copied. As a quantitative trader focused on BTC, Killa correctly predicted the peak of the current bull market in May 2025, and has over 200,000 followers on X. In mid-April, he shorted Bitcoin at $74,688, and switched to long positions during the broad market sell-off on June 5.

Anthropic Co-Founder Jack Clark: An internal economic model shows that if AI models permeate the economy within the next year, U.S. GDP could reach $44 trillion by 2030.

Tom Lee, chairman of Ethereum Treasury Company BitMine, said in a CNBC interview yesterday that if fundamentals remain stable, cryptocurrencies, chip stocks, and neocloud companies are imminent breakout opportunities. All have pulled back to support levels. Lee noted that when fundamentals hold steady while the market grows fearful, this actually represents a pretty favorable risk-reward setup.

Elon Musk responded to a community user on X regarding Tesla’s new "flying" Roadster sports car, stating that the vehicle will be capable of autonomously performing various stunts and will possess "sentient abilities." Tesla will also build a circular track at its Texas headquarters—even more extreme than a Hot Wheels track—for Roadster owners to test their cars. The community user noted that the Tesla Roadster is controlled by a computer sending commands to another computer, with steering, braking, and acceleration all utilizing drive-by-wire technology. Musk replied: "True."

Crypto analyst Darkfost said in a post that Uniswap (UNI) has been facing sustained selling pressure recently, with its inflow to trading platforms hitting a year-to-date high. UNI rallied around 370% from its June low; in September, Uniswap’s total value locked (TVL) exceeded $4 billion, a new annual high, and the decentralized exchange’s trading volume also peaked at $93.6 billion. However, the strengthening fundamentals failed to stem the recent price pullback. Data shows that in late September, UNI’s inflow into Binance repeatedly reached year-to-date highs. Inflows remain active currently, but the growth momentum appears to be weakening. Darkfost pointed out that if UNI’s inflow to trading platforms continues to decline, the token may gradually form a bottom, easing the selling pressure accumulated since its recent $10.9 peak. UNI has now pulled back over 30% from that high.

Dynamic Insight’s Beating AI News Flash: DeepSeek has upgraded its V4.1 Flash model to version 1017, with updates rolled out simultaneously for its web platform, app, and API. The new model weights have been open-sourced under the MIT license. Official test results show that DeepSWE v1.1 software engineering task pass rate rose from 74.2% to 77.0%, surpassing Claude Opus 5’s 74.0%. Terminal-Bench 4.0 improved from 31.2% to 42.3%, though still lagging behind Opus 5’s 51.8%. Per DeepSeek’s published cost curve, the configuration achieving the 77% pass rate costs an average of approximately 1.3 yuan per task. It’s worth noting that the comparison benchmark here is Opus 5, not the newer Opus 5.5. A key focus of the new version is enhancing "wish-based programming" – a feature where users only provide simple requirements, and the AI independently plans and executes the entire project. DeepSeek improved this capability via reinforcement learning with self-feedback, showcasing demos including a 3D Forbidden City scene, a web-based racing game, and a Godot engine-based recreation of Portal 2. The company stated the new model reduces both task completion time and output length, with optimizations tailored for DeepSeek Harness, Tencent CodeBuddy, and WorkBuddy. Additionally, DeepSeek is opening its self-developed search engine’s Search and Fetch APIs to developers for the first time. Developers can now enable AI agents to directly search web pages and extract content. Both APIs are billed per successful request, at 5 yuan per 1,000 requests. Search requests triggered via Claude Code and Codex’s built-in web search function will be free of API call fees for the first two weeks.