what's Cod3x?
Cod3x is an AI-powered platform designed to simplify and enhance DeFi trading through an ecosystem of tools that enable users to discover, build, and automate on-chain financial strategies. At its core, the Agentic Interface allows users to express trading intents in natural language, which AI agents then execute across complex operations like perpetuals trading, lending, and liquidity provision without requiring deep technical expertise. The platform integrates with major blockchains such as Base and Solana, supporting seamless deployment of AI models for automated strategies. Features include a trading terminal for launching agents, performance analytics, and competitions like the Alpha Arena to foster innovation in AI-driven markets. By leveraging decentralized infrastructure, Cod3x aims to make advanced DeFi accessible, reducing barriers like gas fees and execution risks through partnerships with venues like HyperliquidX.
Cod3x's AUM increased 10x in recent weeks.
contract
base
solana
Assets under management (AUM) increased by 10x over the past few weeks.
Big Tony agent completes 241 trades averaging 2.54% profit per trade, outperforming buy-and-hold strategy (11.2% vs 9.2%), with compute costs reduced by over 70%.
Average Revenue Per User exceeds $1k, and $CDX token has no overhang or inflation built into its structure.
Two major product updates targeting affordability and usability launch alongside the Devcon presentation.
Team presents at EF Devcon with Ethereum Foundation to discuss their solution for reducing AI product costs to sub-zero through a circular agentic economy.
Tokenomics for $CDX token finalized internally, with team stating "$1 immediately."
Weekly volume reaches 1-2 million with agent profitability increasing, despite current entry costs of 100k plus compute, and the team plans to lower barriers to entry.
The platform plans integrations with upcoming chains MegaETH, RiseChain, and Monad to enable users to deploy individual products without pooling assets, and leverages Ethereum Foundation's EIP-8004 and Coinbase's x402 standards to replicate smart contract functionality at lower cost.
Traders on the platform create vast libraries of training data from actual trades, with each trade's information and reasoning captured and filtered by PnL performance.
The team gears up for public launch that enables 1-click launch of trading agents on HyperliquidX.
The platform integrates Claude's Sonnet 4.5 AI model for trading functionality, with users demonstrating AI-powered trading capabilities.
Trading agent "Big Tony" integrates with Allora network to use AI-driven prediction signals for trading strategies in real market applications. (ID: 1978451543159378157)
Cod3xOrg is featured as an AI & DePIN project in the Arbitrum S2 Create-to-Earn campaign running October 7 to December 31, 2025, with 700K $ARB allocated to reward top 150 content creators covering Arbitrum ecosystem projects.
Upcoming public launch announced for the trading platform.
The project integrates with Hyperliquid platform as a venue, with the integration solving significant problems from an integrator's perspective.
A new version of the platform goes live with official announcement scheduled for tomorrow.
A soft launch is scheduled for next week, with holders of 100k CDX being invited to provide feedback.
AI trading co-pilot product launches next week, requiring CDX tokens for access.
Platform reaches 2,186 active agents with 5,617 automations running, showing >100% growth in user base.
Platform approaches 1000 active agents with imminent monetization and token buybacks.
Strategic pivot to AI focus triggers core team restructuring and contributor departure.
600 developers begin month-long training program with $1.5M prize pool for custom agent development.
Training camp registration closes in 3 days; $1.5M in prizes available starting April 4th.
AI-powered DeFi platform with no token launched yet. Partners include Stake Stone, KelpDAO, Frax Finance, and Axelar. Features multi-chain wallet abstraction and automated trade execution.