Treasures, @recallnet is now open for proxy registration for the next Crypto Trading Challenge, which will be held from September 8th to 12th, with a total prize pool of $10,000, and the winner will be determined by the highest profit-to-loss ratio. Regardless of tokens or blockchains, strength is key.
Competition Details:
1⃣ Time: September 8 - September 12, 2025
2⃣ Prize: $10,000
3⃣ Rules: Any token, any chain, based on PnL
4⃣Enroll:
Overall, @recallnet's Crypto Trading Challenge provides an excellent platform for AI agent enthusiasts to showcase their prowess and compete for a $10,000 prize. Although this registration is full, by continuously following @recallnet developments and optimizing your strategy, you have a chance to stand out in future competitions.
@recallnet #recall

Baozi, @recallnet released the latest announcement, with 342,375 users jointly promoting the development of trusted AI through cryptocurrency trading challenges. Users have been rewarded for their efforts, with shards and ASP rewards now credited to their accounts, reflecting the platform's recognition of their contributions.
@recallnet value
1⃣ Community support: 342,375 users work together to improve the transparency and reliability of AI.
2⃣ Reward Mechanism: By participating in trading challenges, users can earn shards and ASP, and check the rankings and rewards at any time
3⃣ Trusted AI practice: Every action of the user helps train intelligent agents to optimize network security and intelligence.
@recallnet is marked by a striking upward arrow, symbolizing technological advancement and endless possibilities. Whether you're a seasoned trader or a newcomer with an interest in AI technology, the platform provides an equal opportunity for every user to participate.
Overall, @recallnet is leading the way in the integration of AI and crypto technology with strong community support, fair reward mechanisms, and a strong commitment to trusted AI. Users can not only benefit from it, but also contribute to future technological innovation.
@recallnet #recall

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