Join the Bitget AI Trading Club & Win a Share of the $1,000 “Show Your Claw” Challenge!
Join the Bitget AI Trading Club & Win a Share of the $1,000 “Show Your Claw” Challenge!
2026-04-20 10:01
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The Show Your Claw campaign from the Bitget AI Trading Club is now live. During the event, join the Product Fan Club – Bitget AI Trading Club, complete GetClaw tasks, share your results, submit feedback, and participate in trading to win a share of the $1,000 prize pool.
Event Period: April 20, 2026 – April 30, 2026
How to Participate
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Participate for at least 3 days during the event, complete at least 5 GetClaw conversations per day
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Share your GetClaw screenshot in the community (positions, profits, strategies, or memes) with a short caption.
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Submit your GetClaw product feedback
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Complete real trades using GetClaw and share trading screenshots to qualify for extra rewards
✅ After completing the tasks:
Submit the form with your UID to claim your rewards!
Rewards Breakdown ($1,000 Prize Pool)
Top UGC Rewards Share high-quality content showcasing real trades, profits, or strategies
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Reward: $30 × 10 users
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Total: $300
Product Feedback Rewards Submit clear, detailed, and valuable feedback
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Reward: $20 × 15 users
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Total: $300
Participation Lucky Draw Complete basic tasks (conversations, sharing, feedback) to qualify
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Reward: $10 × 20 users
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Total: $200
Trading Rewards Execute trades via GetClaw and share screenshots in the community
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Reward: $10 × 20 users
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Total: $200
Participation Requirements
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Top UGC Reward: Must include screenshots showing real trading scenarios with clear profit or strategy insights
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Product Feedback Reward: Must provide specific issues, suggestions, or genuine user feedback
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Participation Reward: Complete 5 conversations + upload screenshot + short caption + submit feedback
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Trading Reward: Must execute trades via GetClaw and share screenshots from the conversation interface
*This announcement is time-sensitive. Please note the date of publication. The platform assumes no responsibility for any direct or indirect losses arising from changing circumstances or outdated content.
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