BTC $62,921.50 -0.05%
ETH $1,877.76 +0.03%
BNB $606.37 -0.70%
XRP $0.9981 -0.42%
SOL $75.16 -0.11%
TRX $0.3311 -0.23%
DOGE $0.0696 -0.42%
ADA $0.1762 -1.57%
BCH $203.76 -0.66%
LINK $9.40 +0.72%
HYPE $57.34 +2.41%
AAVE $85.81 -1.46%
SUI $0.6761 -1.08%
XLM $0.1567 -0.96%
ZEC $485.19 -0.71%
BTC $62,921.50 -0.05%
ETH $1,877.76 +0.03%
BNB $606.37 -0.70%
XRP $0.9981 -0.42%
SOL $75.16 -0.11%
TRX $0.3311 -0.23%
DOGE $0.0696 -0.42%
ADA $0.1762 -1.57%
BCH $203.76 -0.66%
LINK $9.40 +0.72%
HYPE $57.34 +2.41%
AAVE $85.81 -1.46%
SUI $0.6761 -1.08%
XLM $0.1567 -0.96%
ZEC $485.19 -0.71%

generation

All
Article
Flash

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.

first_img Grayscale: The global alternative asset scale has grown nearly 7 times since 2008, and the allocation preferences of the younger generation are favorable for cryptocurrency

Grayscale Research Director Zach Pandl stated that the global alternative asset market has grown nearly 7 times since the 2008 financial crisis, with the share of private equity, private credit, hedge funds, physical assets, and cryptocurrency in global portfolios continuing to rise. According to the data he cited, within alternative assets, private equity accounts for about 29%, hedge funds about 23%, and cryptocurrency about 13%.Zach Pandl mentioned that differences in intergenerational allocation preferences may further strengthen this trend. According to a Bank of America survey of high-net-worth individuals, investors aged 21 to 43 allocate about 53% of their assets outside of traditional stocks and bonds, while the proportion for those aged 44 and above is 26%. With over $100 trillion in wealth expected to transfer to younger generations in the coming years, their stronger preference for alternative assets may provide ongoing tailwinds for cryptocurrency.He added that the lowering of entry barriers to alternative assets is one of the reasons for this shift, with cryptocurrency developing along similar paths; regulated products like Bitcoin ETPs and institutional-grade market infrastructure provide more convenient access to exposure.

MARA pledged 18,750 bitcoins to obtain 600 million dollars in new debt, expanding its power generation and AI infrastructure business

Bitcoin mining company MARA has completed two loans, obtaining $600 million in new debt after pledging 18,750 bitcoins to expand its power generation and AI infrastructure business. The collateral was valued at approximately $1.2 billion at the time of the transaction. The total principal of the two loans is $750 million, with Coinbase Credit providing $450 million, which includes refinancing of the existing $150 million credit line and an additional $300 million; Two Prime Lending provides another $300 million, and both loans have been fully drawn.The interest rate on the Coinbase loan is the midpoint of the Federal Reserve's target rate range plus 3.875 percentage points, maturing on August 4, 2028; the Two Prime loan has a fixed interest rate of 7.65%, maturing on August 3, 2028. If the principal remains unchanged, the annual interest expense for both loans is approximately $56.7 million. MARA stated that the loan funds will be used for general corporate purposes, including paying part of the cash consideration for the acquisition of Long Ridge Energy & Power LLC. The enterprise value of the transaction is approximately $1.5 billion, and Long Ridge owns a 505-megawatt gas power plant and over 1,600 acres of industrial land, which MARA plans to use for power generation, bitcoin mining, and potential AI and high-performance computing parks.

OpenAI has launched the next generation GPT-5.6 series models, currently available only to trusted partners using Codex and the API

According to official news, OpenAI has officially launched the preview version of the next-generation GPT-5.6 series models, including the flagship model Sol, the balanced model Terra, and the fast low-cost model Luna. GPT-5.6 introduces a brand new maximum reasoning effort and features a super strong mode that accelerates complex tasks through sub-agents.The flagship model Sol introduces the Ultra mode, which combines maximum reasoning intensity with sub-agent collaboration. In the Terminal-Bench 2.1 command line workflow test, Sol achieved a score of 88.8%, which increased to 91.9% in Ultra mode, surpassing GPT-5.5's 83.4% and Claude Fable 5's 88.0%. The mid-range model Terra performs close to GPT-5.5 while being priced at half, and the lightest model Luna is designed specifically for everyday automation tasks. Sol is priced at $5 per million input tokens and $30 for output, and it supports reducing secondary call costs by utilizing prompt caching.In terms of security, the security assessment confirmed that Sol did not exceed the critical thresholds of the Preparedness Framework cybersecurity. OpenAI has invested over 700,000 A100 equivalent GPU hours in automated red team exercises, equipping the entire series of models with a defense stack that includes rejection mechanisms, real-time abuse classifiers, and account-level audits. Although the current limited release follows the U.S. government's security framework, OpenAI emphasizes that it does not want a government-led access mechanism to become the long-term default model, as it would limit defenders' access to cutting-edge tools.
app_icon
ChainCatcher Building the Web3 world with innovations.