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first_img Castle Labs: Variational Swaps have execution costs 8 to 12 times lower than mainstream on-chain venues

Castle Labs released a research report on September 10, comparing the execution costs of the swaps products launched by Variational with traditional perpetual contracts. The report shows that for most trading volumes, Variational is currently the lowest-cost venue among listed assets, with the cost of a $1 million trade in the US100 market being only $47.The report points out that the trading volume of RWA perpetual contracts has grown from less than $1 billion in October 2025 to over $12 billion in August 2026, currently accounting for about 12% to 13% of on-chain perpetual contract trading volume, with a peak in July reaching 20%. As of the report's release, the total open interest of RWA perpetual contracts was $4.9 billion, with TradeXYZ and Variational accounting for nearly 90%.Variational's swaps utilize RFQ execution and the proprietary liquidity provider Omni, with liquidity coming directly from traditional financial partners, and the fees being a holding cost charged once at the daily close, rather than relying on market supply and demand funding rates. Since the launch of the US100, US500, XAU, XAG, and USOIL markets at the beginning of the month, a total trading volume of $3.8 billion has been accumulated, with a peak open interest of $245 million. Currently, swaps have contributed over 50% of Variational's daily trading volume and more than $220 million in open interest.

RootData: Apple, QQQ, and over ten popular assets have the most optimal trading costs on Bitget, with a weighted price difference of 0.0144%

According to the report "Explosive Growth of Stock Derivatives in 2026: The Landscape of Cryptocurrency Exchanges and Key Trends" released by RootData, the stock derivatives sector has transitioned from "marginal experimentation" to the "explosive growth" phase, with a cumulative trading volume of approximately $17.5 trillion from January to August.In terms of cumulative transaction volume, the concentration effect among the top exchanges remains significant. Among the four exchanges, Binance ranks first with $853.58 billion and a 61.3% market share; Bitget follows in second place with $270.85 billion and a 19.5% market share; OKX comes in third with $234.39 billion and a 16.8% market share; Bybit ranks fourth with $33.41 billion and a 2.4% market share.Regarding liquidity, in the ±2% weighted order book depth indicator, Binance and Bitget together account for over 70% of the stock derivatives order book liquidity. Among them, Binance has an average daily order book depth of approximately $10.1 million, followed closely by Bitget at $4.82 million, with OKX and Bybit at $3.87 million and $1.16 million, respectively.In terms of trading costs, in the recent comparison of weighted spreads for more than a dozen representative popular assets, Bitget ranks first with 0.0144%, followed closely by Binance at 0.0145%, with both essentially at the same level; OKX is at 0.0154%, and Bybit is at 0.0237%.

first_img Tomasz Tunguz: AI infrastructure exhibits a long tail effect, with bottlenecks gradually transmitting and driving up costs

Venture capitalist Tomasz Tunguz pointed out that the narrative of AI infrastructure resembles a slow relay race, with bottlenecks sequentially transmitting from GPUs to memory, CPUs, and storage, each link freezing the supply chain of the next for years and locking in higher baseline costs. At the beginning of 2023, the GPU shock caused H100 rental prices to exceed $9 per hour, and server shipments fell by 22%; subsequently, manufacturers shifted capacity to HBM, leading to an 80% quarterly increase in enterprise SSD prices and over a 60% rise in DRAM.By the end of 2025, the workload of intelligent agents will push the CPU to GPU ratio to about 1:1, with the average price of server CPUs rising by 27% year-on-year; in 2026, nearline HDD annual capacity will be sold out. The construction cost of data centers has risen to about $20 billion per gigawatt, with orders for long-cycle equipment such as transformers and turbines scheduled as far out as 2029 to 2031.Tunguz referred to this as the long whip effect in the hardware sector: years of manufacturing delays amplify downstream demand shocks upstream, and when pressure is relieved at a certain bottleneck, it will be delayed in transmitting to the next link, with transformers scheduled for delivery in 2027 to 2028, NAND wafer fabs, and turbine production lines potentially facing the risk of overcapacity.
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