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2026

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Article
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first_img Bitcoin SOPR has been above the breakeven point for three consecutive weeks, setting the longest bullish record since 2026

The Bitcoin On-Chain Spending Profit Ratio (SOPR) has remained above the breakeven point of 1 for three consecutive weeks, marking the longest bullish cycle since 2026. Data from CryptoQuant shows that this metric has consistently been above 1 since August 19, currently reported at 1.002, indicating that most Bitcoin transferred on-chain is in profit. On-chain analysis tool Checkonchain points out that the structure of the short-term holder SOPR is beginning to resemble the early stages of a bull market recovery, rather than the rebound-and-sell pattern seen in a bear market.However, David Puell, portfolio manager at ARK Invest and founder of the Puell Multiple metric, warns that there is still downside risk for Bitcoin prices. In an interview with CryptoQuant, he stated that more evidence is needed to confirm that the bottom of this bear market has been reached. The SOPR needs to stay above 1 for a longer period, and investors must continue to realize profits without prices making new lows. Additionally, Bitcoin needs to form a series of higher highs and higher lows on a weekly basis, a pattern that has not yet emerged.Previously, CryptoQuant CEO Ki Young Ju had suggested that the bear market was over based on his proprietary bull-bear market cycle indicator. Currently, Bitcoin prices are fluctuating around $80,000.

first_img TrendForce: The top ten foundry revenues before the second quarter of 2026 are nearly 53.49 billion USD

TrendForce's latest research on the wafer foundry industry shows that in the second quarter of 2026, the total revenue of the world's top ten wafer foundries increased by 11.5% quarter-on-quarter, approaching $53.49 billion, setting a new record. The growth mainly comes from the continued demand exceeding supply for advanced processes in AI and HPC processors, as well as the rising demand for peripheral AI chips such as PMICs and power discrete devices; the early stocking of consumer supply chains for TVs, PCs, and laptops has also tightened the capacity of some mature processes.TSMC continues to lead, with revenue nearing $40.2 billion in the second quarter, a quarter-on-quarter increase of 12.1%, and a market share of 72.5%. The demand for AI server GPUs and XPUs has kept its 5/4 nm and 3 nm capacities fully loaded, and the initial stocking of the new iPhone has also contributed, with 2 nm making its first revenue contribution. Samsung Foundry ranks second, with revenue of $3.26 billion, a slight quarter-on-quarter increase of 1.8%, and a market share dropping to 5.9%. SMIC ranks third, with revenue exceeding $3 billion, a quarter-on-quarter increase of 20%, and a market share rising to 5.4%, narrowing the gap with Samsung.UMC maintains fourth place, with revenue of nearly $2.18 billion, a quarter-on-quarter increase of 12.7%, and a market share of 3.9%. GlobalFoundries is fifth, with revenue of approximately $1.79 billion, a quarter-on-quarter increase of 9.3%, and a market share of 3.2%. Hua Hong Group ranks sixth, with revenue exceeding $1.27 billion, a quarter-on-quarter increase of 3.5%. Tower, World Advanced, Jinghe Integrated, and Powerchip rank seventh to tenth, with revenues of $460 million, $451 million, $447 million, and $432 million, respectively.

first_img Analysis: 91% of the YC 2026 Summer Batch are AI companies, with the application layer's proportion dropping to 39%

User chris__lu posted that they compiled all 236 companies and 470 founders from the YC Summer 2026 batch, categorizing each company into an AI technology stack layer and comparing it to the Spring batch using the same criteria. This batch still has 91% related to AI. The model companies increased from 8% to 20%, the application layer decreased from 55% to 39%, horizontal applications dropped from 58 to 32, and vertical applications remained at 25%.In the Spring, 45% of companies delivered autonomous agents, while in the Summer, it was 33%, with "agent" in a one-sentence introduction dropping from 27% to 19%. 21 companies are engaged in computational infrastructure, 11 focus on inference costs, and there are also companies for training data and reinforcement learning environments. Scale AI is listed as an alternative target by 8 companies. The industrial category increased from 12% to 24%, with 45 companies delivering physical products, 24 being robots or physical AI, and 21 companies operating their own businesses rather than selling software.This batch is the youngest, with 37% of founders being students or graduates in the last two years, 59 teams are entirely student teams, the dropout rate increased from 3% to 9%, and repeat founders decreased from 32% to 23%, with 84% having a technical background. 39 from Berkeley, 32 from MIT, and 25 from Stanford. Amazon is the largest source of talent. Sales and marketing AI decreased from 18 to 6. Only 19 founders come from AI labs, accounting for 4%. 8 founding teams come from the same previous employer.
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