A trader spent $19,000 betting that Tesla’s Roadster would fly for at least one second, generating a return of over 898%.

Federal Reserve Chair Walsh stated that the Federal Reserve has clearly committed to achieving price stability, adding that he does not support jumping to conclusions about meeting results and warned against pre-judging such outcomes.

Beating AI News Flash from Dong察: NVIDIA’s U.S.-based open-source model held the top spot for just a few hours. NVIDIA’s Nemotron 3.5 Super VL scored 26.5 points on the Artificial Analysis Intelligence Index, outperforming all previous U.S. open-source models. But Meta’s subsequently released Muse Spark Open scored 39 points, 12.5 points ahead of NVIDIA, to become the new U.S. leader. However, when looking at the global open-source model rankings, Meta still lags behind multiple Chinese models. Xiaomi’s MiMo-V2.6-Pro leads with 46 points, Zhipu AI’s GLM-5.3 scores 45 points, while Muse Spark Open ties with DeepSeek V4.1 Flash at 39 points. Muse Spark Open is already close to Meta’s closed-source flagship Muse Spark 1.2, launched in August, which scored 40 points. Among the top 9 highest-scoring open-source models, Muse Spark Open ranks last in the combined performance of 4 Agent tests, but places fourth in the total of the other 6 tests. The 6-point gap between it and Zhipu AI’s GLM-5.3 comes entirely from the Agent tests. On the contrary, it leads all open-source models with 25 points in the knowledge accuracy test AA-Omniscience, with a hallucination rate of only 24% – the lowest among open-source models scoring over 30 points. Muse Spark Open also has strong token utilization efficiency: it outputs an average of about 40,000 tokens per test, 43% less than GLM-5.3. The two have similar API unit prices, but because Muse consumes fewer tokens, its average cost per test is only $0.84, less than half of GLM-5.3’s, though still about 3 times that of DeepSeek V4.1 Flash.

Federal Reserve Chair Walsh stated that the U.S. Federal Reserve will hold an in-person hearing on artificial intelligence in the San Francisco Bay Area on November 16. Artificial intelligence could be the most significant change for the U.S. and global economies. In the medium term, it is a positive supply shock.

Following Tesla’s unveiling of its next-gen Roadster at an event—where the vehicle demonstrated capabilities including brief airborne flight and mid-air flips—TSLA contracts on Hyperliquid have risen from ~$365.27 to $373.04 since the event kicked off at 08:55, marking a 2.13% gain. Alongside the price rally, on-chain trading activity and open interest for TSLA have surged. In the hours since the announcement, TSLA contract trading volume hit $81.12 million, roughly 24.3 times the volume of the prior period; the past 24-hour volume jumped to $128 million. Over the same window, the nominal value of open interest rose to $82.33 million from pre-event levels, an increase of ~$35.63 million or 76.3%—far outpacing the 2.13% price gain in the period. During the rally, at least three large "whale" holders opened new long positions, totaling ~$3.98 million in holdings with a weighted average entry price of ~$367.33, generating a combined unrealized profit of ~$60,900. Details of the positions: - 10 minutes post-announcement: A whale opened a long position with 20x leverage, now holding ~$1.8515 million at an average price of $365.51 (wallet address: 0x696d), with an unrealized profit of 38%. - ~50 minutes post-announcement: Another whale executed a Time-Weighted Average Price (TWAP) buy with 10x leverage, completing the position over ~30 minutes. It now holds ~$1.1191 million at an average price of $368.13, with an unrealized profit of 12% (wallet address: 0xa609). - Over 1 hour post-announcement: A third whale added to its long position with 20x leverage, now holding ~$1.0094 million at an average price of $369.77, with an unrealized profit of 15% (wallet address: 0xb885).

Crypto market analyst Murphy noted that the volume of Bitcoin (BTC) transfers from short-term holders (STHs) to trading platforms has risen significantly recently, with an average of around 2,200 BTC moved per hour over four hours, marking the fourth highest peak since the start of this year’s August market rally. However, the transfer volume on October 15 was lower than that on October 8, indicating that selling pressure from STHs has eased somewhat. In contrast, long-term holders (LTHs) transferred a smaller amount to trading platforms yesterday, with an average of only around 480 BTC per hour over four hours—less than one-fifth of the STHs’ volume. This shows that amid recent market declines and rising expectations of macro headwinds, LTHs as a whole remain relatively stable. It is worth noting that LTHs’ transfer volume on October 8 once hit 3,700 BTC per hour. While it cannot be ruled out that some holders temporarily moved assets due to hardware wallet-related issues, the large transfers from both LTHs and STHs that day, paired with Bitcoin’s rapid price drop, confirm there was indeed actual selling pressure in the market at that time. During the recent Bitcoin downturn, the main entities transferring assets to trading platforms were STHs, with LTHs staying stable overall, and STHs’ transfer scale has decreased compared to October 8.

Federal Reserve Chair Walsh said he might be overly sensitive to the lingering shadow left by the global financial crisis.