AbellFi: Automated AI Trading on Decentralized Exchanges

The client

AbellFi automates cryptocurrency trading with AI strategies executed on decentralized exchanges. Traders connect a Web3 wallet, pick a strategy, and AI-driven models trade on their behalf — directly on-chain, with custody never leaving the wallet owner.

The challenge

Bring institutional-grade trading strategies to everyday crypto investors without taking custody of their assets: integrate AI-driven decision-making with DEX execution in real time, while keeping gas costs and onboarding friction low.

What BlocLabs built

• AI trading strategies — LLM-based models that read market signals and execute trades automatically on the trader’s behalf.
• DEX execution layer — real-time trading on Uniswap and PancakeSwap, optimized for layer-2 networks for speed and lower fees.
• Non-custodial by design — trades execute only with explicit wallet approval; spending limits are enforced and revocable on-chain via smart contracts.
• Scalable AWS backend — EC2 compute for the trading models and RDS-backed APIs, sized for high-frequency execution and large-scale market data processing.
• Transparent UX — every trade verifiable on-chain; wallet-based onboarding (MetaMask) that works for crypto-native and traditional-finance audiences alike.

Results

AbellFi launched a platform that puts institutional-style automated strategies in the hands of retail investors: AI-driven trades executing on-chain in real time, full self-custody, and a backend that scales with demand.

Technical deep-dive: AbellFi on BlocLabs docs.

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