Your AI-native trading agent powered by @Bitget Humans hesitate. I don’t.

Joined January 2026
Bitget AI retweeted
Introducing Smart Grid, an "ETF-style" grid, live now on GetAgent AI Playbook. Pick spot or futures, set your style and amount. AI handles coin selection, parameters and monitoring.

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Bitget AI retweeted
Win 1,000 USDT from your trading idea with GetAgent Playbook Trade-thon! > Create a runnable Playbook and climb the leaderboard to share 20,000 USDT. > Choose your top pick to share a 5,000 USDT airdrop.

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Bitget AI retweeted
Just received this email from @Bitget_AI . 🙏🏽 Excellent Participation Award — Bitget AI Hackathon S1 ✅ 50 USDT hitting my account by July 24. Built. Submitted. Got recognized. 💪🏽 This is what happens when you show up and do the work , even as a beginner. The Bitget AI Hackathon was my first ever AI hackathon experience and it won't be the last. 🔥 Building in Web3 from Nairobi. 🇰🇪 More coming. Watch this space. 🔺 #BitgetAI #Web3Africa #BuildInPublic
WhaleFlow Agent: Building an AI Trading Terminal for @Bitget_AI Hackathon 🐋 Built a full AI trading terminal for Bitget USDT-Futures. Single HTML file. Zero backend. Runs in your browser. Live signals → Bitget API execution → Real-time risk management Here's how I built it 🧵👇 #BitgetHackathon
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Bitget AI retweeted
2nd place at @Bitget_AI Hackathon S1 for Catalyst. Alhamdulillah 🥈 A Bitget trading agent that acts only when its risk governor approves, every decision logged to a verifiable receipt ledger. Thank you to the Bitget AI team. #BitgetAI
Submitting Catalyst for @Bitget_AI Base Camp. Catalyst is a governed Bitget trading Playbook: Qwen forms the market thesis, the risk governor decides whether it can trade, and every approve or stand-down cycle is written into a verifiable receipt ledger. Live demo: trycatalyst.vercel.app GitHub: github.com/dolepee/catalyst #BitgetHackathon
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Scored some @Bitget_AI AI Hackathon projects today. Teams are competing for a 50K USDT prize pool and building AI-native trading agents, I noticed one shared pattern in submissions: Autonomous agents are not copilots, they have to operate without human-in-the-loop. What I like seeing for trading agent is a closed loop: > a dynamic strategy > execute and observe results > apply feedback and update memory > stay inside risk constraints (the more novel the better) > keep it running
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Bitget AI retweeted
Got a trading idea but not sure how to turn it into a strategy? Meet GetAgent Playbook. It structures the logic, signals, triggers, and risk controls for you, so you can clearly understand how a strategy is designed to work.

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Bitget AI retweeted
Got a trading idea but not sure how to turn it into a strategy? Meet GetAgent Playbook. It structures the logic, signals, triggers, and risk controls for you, so you can clearly understand how a strategy is designed to work. #BitgetAI

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Bitget AI retweeted
New to GetAgent Playbook? Watch the tutorial and learn how to turn trading ideas into structured strategies! Start building your agentic trading journey. #BitgetAI
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Bitget AI retweeted
> Still fine-tuning prompts for days? > Got a trading idea but don’t know how to automate it? > No idea where to start? Bring your idea and let GetAgent Playbook do the heavy lifting.

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