Orderly Network unveils bounty program for AI-automated trading
Key Takeaways
- Orderly Network’s AI bounty program aims to develop autonomous trading agents for web3 platforms.
- The program, in collaboration with Google Cloud and Empyreal, targets both Web2 and Web3 developers.
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Orderly Network, a web3 liquidity layer, has launched an artificial intelligence (AI) bounty program in collaboration with Google Cloud and Empyreal. The program aims to reward developers for creating AI agents capable of autonomous trading on Orderly’s platform.
The initiative, set to begin after TOKEN2049 in Singapore, will run for several weeks. Developers can compete in two categories: highest profitability and most innovative predictor, with the possibility of winning prizes in both.
“It’s been a year since Orderly Network and Google Cloud began the collaboration, focused on driving the mainstream adoption of DeFi. Looking ahead, we believe that AI innovation will be pivotal in revolutionizing on-chain trading,” Arjun Arora, Orderly Network COO, stated.
Initially, the AI agents are expected to cater to sophisticated traders and developers who are creating advanced trading applications. Orderly plans to later support AI agents for intermediate traders, enabling derivatives trading without coding knowledge.
“Our work with Orderly builds on our mission to empower Web3 developers with secure and scalable cloud and AI technology to scale their applications. We look forward to welcoming more developers to build AI agents using our technology,” Rishi Ramchandani, Head of Web3 APAC at Google Cloud, added.
The program utilizes Google Cloud’s technology and Empyreal’s SDK to facilitate the transition from Web2 to Web3 development.
Johnny, Founder and Lead Developer at Empyreal, expressed enthusiasm for the collaboration, stating that their SDK will “fuel new bots and AI agents, giving devs and traders a simpler process for deploying effective agents.”
The bounty program represents a step towards uniting AI and DeFi, with potential applications in prediction markets, staking, gaming, and various DeFi sectors.
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Author: Gino Matos