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BTC $70,415.87 +0.26%
ETH $2,077.01 +1.56%
BNB $652.42 +1.10%
XRP $1.42 -4.56%
SOL $81.67 -4.53%
TRX $0.2795 -0.47%
DOGE $0.0974 -3.83%
ADA $0.2735 -4.22%
BCH $455.73 +0.42%
LINK $8.64 -2.97%
HYPE $28.98 -1.81%
AAVE $122.61 -3.42%
SUI $0.9138 -6.63%
XLM $0.1605 -4.62%
ZEC $260.31 -8.86%

transparency

Gate 2 Monthly Transparency Report: The multi-asset trading ecosystem continues to expand, with on-chain and trading products growing in sync

According to the latest transparency report released by the digital asset trading platform Gate, the multi-asset trading ecosystem of the platform continues to expand, with on-chain and trading products maintaining growth. The Gate Layer network address scale has reached 100.5 million, with a total on-chain transaction volume exceeding 28.5 million, a month-on-month increase of 14%, and the activity of on-chain derivatives and the network continues to rise.In February, the trading products and user ecosystem also achieved a scale breakthrough, with Gate ETF supporting a total of 320 ETF trading pairs, and the number of new trading bot users increasing by 23.1% month-on-month, while copy trading users grew by 13%. At the same time, CandyDrop launched 7 projects in February, during which the contract trading volume exceeded $15 billion, and the highest annualized yield of Launchpool reached over 540% in one hour. Additionally, the cumulative subscription scale of YuBiBao approached 1.8 billion USDT, with the TVL of on-chain earning products reaching a maximum of $1.213 billion; the average daily trading volume of institutional contracts increased by 20% month-on-month. As the on-chain ecosystem, trading products, and institutional services develop in sync, Gate is continuously strengthening its multi-asset trading ecosystem layout.

Gate 2 Monthly Transparency Report: The multi-asset trading ecosystem continues to expand, with on-chain and trading products growing in sync

According to the latest transparency report released by the digital asset trading platform Gate, the multi-asset trading ecosystem of the platform continues to expand, with on-chain and trading products maintaining growth. The Gate Layer network address scale has reached 100.5 million, with a total on-chain transaction volume exceeding 28.5 million, a month-on-month increase of 14%, and the activity of on-chain derivatives and networks continues to rise.In February, the trading products and user ecosystem also achieved a scale breakthrough, with Gate ETF supporting a total of 320 ETF trading pairs, and the number of new trading bot users increasing by 23.1% month-on-month, while copy trading users grew by 13%. Meanwhile, CandyDrop launched 7 projects in February, during which the contract trading volume exceeded $15 billion, and the highest annualized return rate of Launchpool reached over 540% in just one hour.In addition, the cumulative subscription scale of Yubibao has approached 1.8 billion USDT, with the TVL of on-chain earning products reaching a maximum of $1.213 billion; the average daily trading volume of institutional contracts increased by 20% month-on-month. As the on-chain ecosystem, trading products, and institutional services develop in sync, Gate is continuously strengthening its multi-asset trading ecosystem layout.

Aave Labs releases the complete transparency audit report for the Aave V4 security program

According to official news, Aave Labs has released the complete transparency report of the Aave V4 security program, including methods, processes, and results, endorsed by several security agencies such as Trail of Bits, Blackthorn, and Certora.Through manual audits, formal verification, invariant testing, fuzz testing, and public security competitions, approximately 345 days of security reviews have been conducted. The program is supported by a dedicated security budget of $1.5 million approved by the DAO.Aave Labs announced that it will continue five core commitments from the Aave V4 security program: embedding formal verification in the early development stages to ensure that architectural design is guided by secure methodologies rather than just verification; adopting a layered security approach, including manual reviews, formal verification, invariant testing, AI-assisted checks, fuzz testing, and public security competitions to cover more potential vulnerabilities; maintaining continuous security coverage, with formal verification frameworks and invariant testing suites running continuously alongside protocol iterations; establishing a long-term bug bounty program to leverage a broader security community for ongoing monitoring; and optimizing AI scanning capabilities to continuously enhance the level of intelligent security detection in future versions based on existing testing experiences.
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