Crypto Initiatives: Orderly Network Unveils New Bounty Program for AI Development
Crypto Innovations: The New Bounty Program
Orderly Network has announced a promising new bounty program designed to boost innovation in the crypto ecosystem. This initiative, launched alongside Google Cloud and Empyreal, offers rewards to developers creating AI agents for autonomous trading on Orderly's platform. This bounty program, revealed ahead of TOKEN2049 in Singapore, demonstrates a strategic effort to integrate artificial intelligence within decentralized finance (DeFi).
Objective of the Bounty Program
- This campaign aims to blend AI and DeFi technologies.
- It will reward developers based on the profitability potential of their AI agents.
- Innovative predictions will be a key criterion for award eligibility.
Opportunities for Developers
Orderly Network encourages diverse developer participation, aiming to lower entry barriers into the DeFi space. Initially focusing on seasoned traders, the program plans to expand its reach to intermediate and novice users, even those lacking coding skills.
Future Implications of AI in Crypto Trading
With the introduction of autonomous AI agents, the cryptocurrency trading landscape is set for transformation. These agents can facilitate various operations, including perpetual futures trading and prediction markets. Their ability to integrate data from multiple sources positions them as pivotal tools in DeFi.
Words from Orderly and Google Cloud
Arjun Arora, COO of Orderly Network, emphasizes the initiative's potential: “This program invites developers to leverage AI for groundbreaking tools that redefine the on-chain experience.” Rishi Ramchandani from Google Cloud adds that their objective is to empower Web3 developers, enhancing application scalability through AI technologies.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.