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The second episode of the Gate Stocks series is now online, with Lucas Sum, the head of stock market development, interpreting the stock layout of the cryptocurrency platform

The second episode of the Gate Stocks series is now online. Lucas Sum, the head of stock market development at Gate, shared insights on why cryptocurrency exchanges are starting to venture into the stock market and analyzed the differences between Gate and traditional brokers in terms of trading experience and asset allocation methods. Lucas Sum stated that more and more digital asset users are beginning to pay attention to stock opportunities from global companies such as NVIDIA, Apple, and Tencent. Gate integrates stocks and crypto assets into the same account, allowing users to manage different types of investment assets using the same USDT balance.In terms of trading experience, Gate Stocks supports fund transfers using USDT, enabling users to participate in stock trading without waiting for traditional bank fund settlements. In addition to regular trading hours for U.S. stocks (9:30 AM - 4:00 PM ET), it also supports pre-market and after-hours trading, with fractional shares supported down to 0.01 shares. Besides stocks and ETFs, Gate also covers investment opportunities such as stock perpetual contracts, tokenized assets, Pre-IPOs, and direct IPOs. Lucas Sum emphasized that Gate is not trying to replace traditional brokers but rather to expand the possibilities of investment platforms, bringing the global stock market directly to digital asset users.

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 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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