The three major U.S. stock indexes opened lower across the board, with the Dow Jones Industrial Average down 0.18% and the Nasdaq down 0.13%.

According to market data, the yield on the 10-year U.S. Treasury note rose to 5.04%, hitting its highest level since 2007. Meanwhile, the U.S. Dollar Index (DXY) climbed to 101, marking its first such level since July 30, with a 0.47% gain on the day.

Fed Governor Barr said further interest rate hikes may be needed to ensure a timely return to the 2% inflation target. The Federal Reserve is in a challenging position but has made adjustments in the right direction. The Fed’s dot plot also reinforced its hawkish message: 16 of the 18 officials expect at least one additional rate hike in 2026, while 4 project two such hikes.

Stablecoin giant Tether’s Tether AI Research today launched QVAC Genesis III, a synthetic training dataset for science, technology, engineering and mathematics (STEM) fields, boasting 191.43 billion tokens and covering 159.6 million documents. Tether aims to leverage the dataset to enhance the reasoning and teaching capabilities of small AI models, enabling more AI assistants to run directly on laptops, mobile devices and local servers, thus reducing ongoing reliance on large cloud-based models. Genesis III continues the data trajectory of Genesis I and II, spanning 19 curricula-related domains including biology, chemistry, physics, mathematics, computer science, medicine, electrical engineering and machine learning, with applications targeting high school, university and professional use cases. Tether states the dataset prioritizes training models to explain problem-solving processes, spot flawed reasoning and offer corrections, rather than merely outputting final answers. According to Tether’s disclosed test results, a 1.7-billion-parameter model trained on Genesis III’s option-level data posted a 99.45% valid response rate in relevant benchmarks. Compared with models trained on similarly-sized Cosmopedia-v2, Genesis III delivered score improvements of 28.57, 21.35 and 15.03 percentage points on the ARC-Easy, ARC-Challenge and MMLU STEM benchmarks respectively.

Per TradingBeats’ monitoring, a whale address (0xdb09) on Hyperliquid steadily added long positions in SNDK during the token’s late-July price dip. Between July 29 and 30, it purchased 989.8 units at an average of ~$1,013.53, totaling ~$1 million in transaction volume. As of 19:03 on September 23, SNDK has rebounded to ~$1,876.8, an 85% gain from the average entry price of that batch. The address added ~$748,600 worth of SNDK at an average of ~$1,024.51 on July 29, then another ~$254,600 at ~$982.55 the next day—its lowest fill hit $975.53. Including buys from July 27-28, its four-day total new long position in SNDK reached ~$3.63 million, lifting holdings from ~3,124.79 units to 6,353.32 units. On August 4, it cut ~26.55% of its SNDK position at an average of ~$1,287.15. Since the sell price remained below its average holding cost, this reduction resulted in a ~$132,800 loss. The remaining 4,666.55 long units have been held since, with an average entry of ~$1,365.88, a position value of ~$8.76 million, and ~$2.38 million in unrealized profit. Beyond SNDK, the address also holds long positions in SKHY (SK Hynix) and MU (Micron): SKHY’s average holding is ~$148.29, position value ~$8.15 million, unrealized profit ~$1.82 million; MU’s average holding is ~$829.03, position value ~$7.99 million, unrealized profit ~$1.92 million. Combined, the three semiconductor storage contract positions total ~$24.91 million, with aggregate unrealized profit of ~$6.12 million.

Market data shows that the U.S. Dollar Index (DXY) has risen to 101, its first such level since July 30, with an intraday gain of 0.47%.

Sept 23 Update: #Bitcoin ETFs: 1D NetFlow: +7,107 $BTC(+$609.37M)?? 7D NetFlow: +20,738 $BTC(+$1.78B)?? #Ethereum ETFs: 1D NetFlow: +67,597 $ETH(+$183.83M)?? 7D NetFlow: +86,117 $ETH(+$234.2M)??