Bitget, the world’s largest Universal Exchange (UEX), has significantly advanced smart trading by launching six new AI trading avatars within its GetAgent platform.
While other platforms test general AI models (like ChatGPT or Gemini) in trading, Bitget is offering ready-to-use AI traders with distinct personalities and strategies. These avatars are running live, trading real accounts, and are immediately available for one-click copy trading.
Meet the AI Lineup:
Each avatar employs a different trading philosophy, built on professional indicators and extensive backtesting:
- Steady Hedge (Conservative hedging)
- Majors Momentum (Major-coin focus)
- Altcoin Turbo (High-beta altcoin breakouts)
- CTA Force (Mechanical execution)
- Infinite Grid (Range-based logic)
- Dip Sniper (Contrarian reversals)
- DeepSeek (Included as an unmodified base model for benchmarking)
Limited-Time Copy Trading Event:
From November 24 to December 15 (UTC+8), GetAgent users can participate in a limited copy trading event. Users can select the AI avatar that matches their preferred trading style and follow its real-time entries, exits, and adjustments in the Model Arena. Performance is completely transparent, with strategy documentation and real execution data.
Incentives for Participation:
Bitget is offering a 10,000 USDT airdrop pool for users who successfully copy-trade and send one message to GetAgent. Additionally, the first 100 copy trading users each day will receive contract copy trading vouchers worth up to 100 USDT.
Interactive and Educational Trading:
Bitget CEO Gracy Chen emphasizes that these avatars make trading “more personal and more approachable.” Crucially, users are not copying blindly. GetAgent allows traders to speak directly to the avatars to understand their reasoning, stop-loss settings, and how they adapt to market cycles, providing clarity and confidence for new traders.
Real-World AI Study:
The inclusion of the DeepSeek base model will serve as a neutral benchmark. After the event, Bitget plans to publish a comparative review of how the specialized avatars performed against the general AI model, offering valuable insights into different AI trading agent designs.
The initiative aims to match trading preferences with strategy, bringing a new level of relatability and transparency to AI-assisted trading.
