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Points
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Margin
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Convert & Block Trading
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Leveraged Tokens
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Futures
Futures
Hundreds of contracts settled in USDT or BTC
Options
HOT
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Futures Kickoff
Get prepared for your futures trading
Futures Events
Participate in events to win generous rewards
Demo Trading
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Launch
Investment
Simple Earn
VIP
Earn interests with idle tokens
Auto-Invest
Auto-invest on a regular basis
Dual Investment
Buy low and sell high to take profits from price fluctuations
Quant Fund
VIP
Top asset management team helps you profit without hassle
Crypto Loan
0 Fees
Pledge one crypto to borrow another
Lending Center
One-Stop Lending Hub
VIP Wealth Hub
New
Customized wealth management empowers your assets growth
Private Wealth Management
Customized asset management to grow your digital assets
Staking
Stake cryptos to earn in PoS products
BTC Staking
HOT
Stake BTC and earn 10% APR
GUSD Minting
New
Use USDT/USDC to mint GUSD for treasury-level yields
Soft Staking
Earn rewards with flexible staking
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- 📢 Gate Square Ambassador Recruitment is Now Open! 🔥
Join Gate Ambassadors for more than just creating — embark on an exciting journey! 💡
As a Square Ambassador, you’ll enjoy:
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A community influencer
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📖 - Gate App Options Now Live! Test and Win Big
📅 Event Period: September 30, 2025 – October 17, 2025
- Submit valid feedback to receive 10–100 USDT.
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Details: https://www.gate.com/zh-tw/announcements/article/47455
Westlake University has released a new agent: AppAgentX, which will evolve itself
Golden Ten Data reported on March 10 that Zhang Chi's team from the AGI Laboratory of Westlake University recently launched AppAgentX, a GUI agent with self-evolution capabilities. According to reports, it can learn and optimize its own behavior patterns in the process of continuously performing tasks to achieve more efficient operations. According to the experimental results, AppAgentX shows a significant "cost reduction and efficiency increase" in multiple GUI interaction tasks from the single-step execution efficiency to the overall API token consumption.