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Points
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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
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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:
🎁 Exclusive perks to showcase your unique value
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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.
- Complete at least 10,000 USDT in cumulative options trading volume to participate.
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Details: https://www.gate.com/zh-tw/announcements/article/47455
Tencent Hunyuan launched and Open Source "Hunyuan Image 3.0"
Jin10 Data, September 28 - Tencent Hunyuan has launched and open-sourced its native multi-modal image generation model "HunyuanImage 3.0," with a parameter scale reaching 80B. It is reported that this model is the first open-source industrial-grade native multi-modal image generation model, and Tencent claims that its performance can match that of leading closed-source models in the industry. In addition, the model can utilize knowledge for reasoning, analyze complex semantics at the k-character level, and generate long-form text.