Binance to list OURA U.S. dollar-margined U.S. stock Pre-IPO perpetual contracts

According to HTX market data, Bitcoin has dropped below $86,000, with its 24-hour price gain narrowing to 0.96%.

Insight Beating AI News Flash: Web Agent firm TinyFish has launched Monitor. Users input a webpage or topic, then specify their area of concern in one sentence. Monitor runs continuous checks, notifying users or agents only when a qualifying change occurs. For example, if you set it to track a product page, it will alert you exclusively when the price drops below $500. The tool regularly crawls webpages and compares results from prior scans. Upon detecting a change, it uses AI to confirm if the change aligns with your requirements—routine text adjustments will not trigger alerts. Monitor supports both fixed webpage monitoring and continuous topic searching, enabling tracking of changes including prices, inventory, job postings, new products, and brand mentions. Alerts are delivered via email and Webhook. Currently, each account can run up to 50 Monitors simultaneously, with checks as frequent as every 30 minutes. The service is free until September 25.

On-chain trading terminal Genius Terminal, which is invested by YZi Labs and has CZ as its advisor, announced that its token launch platform Genius.fun now supports pairing deployed tokens with AMCB. AMCB is the Binance bStocks version of the tokenized U.S. cinema chain AMC Entertainment (ticker: AMC). BlockBeats Note: Stock Meme is an emerging concept that directly combines traditional meme coins with tokenized U.S. stocks. Instead of pairing with USDT or ETH, meme coins are now paired directly with on-chain U.S. stock tokens (such as NVDA, TSLA, AAPL, etc.). This model retains the high volatility and community-driven speculative attributes of meme coins, while leveraging the popularity and narrative of real stocks. Typically, a portion of transaction fees flows back to the community treasury to accumulate the corresponding U.S. stock tokens, forming a dual-driven model of "sentiment-driven speculation + real asset anchoring".

Beating AI News: Anthropic has for the first time integrated its "cutting-edge model development" restrictions from the Fable series into its Opus line. Opus 5.5 now includes a Fable-like classifier. When handling a small number of cutting-edge LLM development tasks—such as developing kernels for specific AI accelerators—the system automatically switches from Opus 5.5 to the less powerful Opus 5, which does not have this restriction. Fable 5 had already restricted tasks including distributed training infrastructure development, AI accelerator design, and certain kernel development. At the time, Anthropic explained that powerful models could accelerate next-generation model development, and it did not want Claude to help competitors build cutting-edge models of the same level faster. Fable currently also blocks or switches models for a small subset of such tasks. Anthropic’s internal evaluations also have these safeguards enabled. Once a cutting-edge LLM development task triggers the restriction, Opus 5 takes over, which may lower Opus 5.5’s related benchmark scores. Anthropic emphasized that this type of classifier covers only a very small portion of cutting-edge LLM development tasks, and most general AI, machine learning research, and daily programming will not be affected. After a downgrade is triggered, Claude will clearly indicate that it has switched to Opus 5, and subsequent conversations will continue using Opus 5.

Beating AI News: Qwen has officially launched the Qwen-Audio 3.1 series of large speech models. This upgrade not only brings comprehensive improvements to three core models—Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and real-time speech interaction (Realtime)—but also introduces two new key models: the audio creation model Qwen-Audio 3.1-TTS-Next and the audio understanding model Qwen-Audio 3.1-ASR-Next. The five new speech models launched together form a complete audio capability stack covering "understanding, generation, interaction, and creation". To further lower user costs, all Qwen-Audio series speech models have had their prices reduced: TTS by approximately 70%, Realtime by around 85%, and ASR by up to 95%.

CryptoQuant analyst Darkfost notes that while Bitcoin’s price is rising, sustained buying pressure has yet to reestablish, leaving mixed market signals. As of the 30th, cumulative spot demand stood at -180,000 BTC, remaining negative; futures demand was +54,000 BTC, still positive but slightly down. Total average demand improved from -188,000 BTC to -126,000 BTC, narrowing the gap but still in negative territory overall. A recent divergence has emerged between price and total demand: Bitcoin’s price is up, but total demand has not turned positive, indicating the rally is driven more by easing selling pressure than strong buying. Breaking down by segment, demand recovery is uneven. For institutional players, while geopolitical and macroeconomic conditions remain unfavorable, the volume-weighted Coinbase Premium briefly turned positive, signaling U.S. spot prices occasionally trade at a premium to other markets, with institutional selling pressure easing notably. ETFs have been the biggest change in this cycle: demand has flipped completely compared to this summer, with recent net purchases of roughly 70,000 BTC. Cumulative inflows for 2026 still stand at around -17,000 BTC, but are close to turning positive. For trading platforms, net outflows dominated throughout September, a trend pointing to accumulation rather than distribution—Bitcoin leaving exchanges typically translates to lower near-term selling pressure. Analyst Darkfost concludes that the current price rally is not driven by stronger buying, but rather by investors refraining from adding more selling pressure at higher price levels, leaving the market structure still fragile.