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Binance Research: Generation Z investors prefer ETFs, with lower trading frequency and leverage usage compared to other age groups

Binance Research data shows that Generation Z investors are gradually shifting towards long-term asset allocation tools such as ETFs. Compared to Millennials, Generation X, and Baby Boomers, their trading frequency is lower, and their preference for leverage is also weaker.Data indicates that at the beginning of August, ETFs accounted for 25% of the stock trading volume among Generation Z users. In July, the proportion of net inflows into stocks from ETFs for Generation Z reached 21.9%, up from 18.5% in June; during the same period, the proportion of individual stock investments decreased from 77% to 74.2%.Binance Research analyzed trading behaviors in direct stocks, tokenized stocks, and traditional financial perpetual contracts. The data shows that Generation Z's trading activity in all three asset classes is lower than that of other working-age groups.Among them, Generation Z's traditional financial perpetual contract accounts traded an average of 13 times per month, lower than the 17 times of Millennials and 16.5 times of Generation X. In direct stock accounts, 22% of Generation Z users have never sold stocks, higher than the 19% of Generation X and 9% of Baby Boomers.Among Generation Z accounts that bought but did not sell, the assets with the highest cumulative purchase amounts include Broadcom, Tesla, and Charles Schwab U.S. High Dividend Stock ETF.In terms of leveraged products, Generation Z shows a lower risk appetite. Data indicates that 88.2% of Generation Z's traditional financial perpetual contract accounts have never traded leveraged or inverse ETFs, higher than the 84.5% of Millennials and 85.9% of Generation X.Additionally, the tokenized stock market continues to expand. Data shows that Binance's bStocks recently briefly surpassed Kraken's xStocks, becoming the second-largest tokenized stock issuance platform globally. As of the latest data, Ondo Finance ranks first with approximately $972 million in tokenized stock value, while xStocks and bStocks are approximately $611 million and $580 million, respectively.

Gate launches AI potential stock feature, pioneering a new model for intelligent stock selection before market opening

According to official news, Gate has launched the AI Potential Stocks feature. This feature will scan market volume and price anomalies, major events, industry news, and related news clues through AI before each trading day, helping users quickly understand the main themes that the market may focus on that day, the relevant reasons, and the subsequent transmission direction. The AI Potential Stocks feature is the first to introduce AI research capabilities and supply chain analysis into the cryptocurrency industry market research scenario, upgrading the AI-driven pre-market investment research experience. This feature will focus on markets such as US stocks, Hong Kong stocks, and Korean stocks, selecting 2-3 stock clues that have capital verification, news support, and may not have been fully noticed yet. The content will revolve around three dimensions: "what to pay attention to, why to pay attention, and how the impact extends," helping users efficiently complete pre-market information screening.AI Potential Stocks focuses on market theme rotation, volume and price anomalies, and major news signals, helping users understand the logic behind changes in market focus rather than simply displaying popular stocks. In addition, Gate will continue to improve its push notification capabilities around AI Potential Stocks, forming a mechanism for timely pre-market summaries, major event reminders, and personalized attention updates. The AI Potential Stocks feature is now supported on Gate App v8.31.0 and above; users can access this feature through the bottom navigation bar [TradFi] - [Stocks] list; web users can enter through the market page or directly visit the feature page to use it. In the future, Gate will continuously deepen the construction of AI research capabilities, improve the AI-driven investment research analysis system, and continuously optimize event version content, major event reminders, and personalized summaries around AI Potential Stocks, gradually forming a mechanism for information delivery that combines pre-market summaries, event reminders, and user attention updates, providing users with more timely and clear market references.
2026-08-14
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