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PHAZE
@PHAZE_001
Growth strategist | content writer & analyst | creative designer | verified KOL @CoinMarketCap | POW on my highlights
4.5K Following    7.3K Followers
𝐅𝐫𝐨𝐦 𝐖𝐞𝐛𝟑 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐭𝐨 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 : 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐡𝐞𝐲𝐀𝐮𝐫𝐚 I’ve take a deeper look into @heyaura and what stands out to me is that it’s not trying to be another AI chatbot. heyAura is building an AI assistant for Web3 that connects intelligence with actual onchain execution. Think about the current experience: you check your wallet, jump between protocols, compare yields, research opportunities, and then manually execute everything. heyAura is trying to simplify that entire process. Its AI can understand your wallet context, analyze your positions, identify opportunities, and help prepare actions such as swaps, bridges, and DeFi strategies, while you remain in control of the final execution. What makes the vision interesting is the infrastructure behind it. @heyaura is working toward an agentic Web3 experience built around technologies like account abstraction, x402 and ERC-8004, alongside integrations across execution, yield discovery, payments and agent infrastructure. There’s also a strong focus on privacy, with the team exploring locally run AI models so sensitive wallet information can remain on your device. For me, the bigger idea is simple: Instead of learning how to navigate dozens of Web3 tools, you should be able to tell your wallet what you want to accomplish and let an intelligent assistant help handle the complexity. That’s the direction I see heyAura pushing toward, and it’s one I’ll be watching closely.
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I just tried out @MossAI_Official new Tokenize Agent feature and created my own agent. I wanted to keep the strategy simple, structured, and rule-based, so I built The 8-Point Momentum Sweep around one core idea: don’t chase the move. The setup follows a clear sequence: Trend → Pullback → Confirmation → Execute Use the 20 EMA to identify the trend, wait patiently for the pullback, confirm that momentum is returning, then execute with defined risk and target at least a 2:1 risk-to-reward. No chasing. No random entries. No guessing. Just a simple framework with clear rules that can be followed consistently. I’ve put the strategy and how the agent works in the video below.
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