Feature Request: AI-powered liquidity detection and prediction module #2355
Description
Problem :
Traders and market makers often miss opportunities or risks related to liquidity changes, such as new pool additions, sudden liquidity drains (potential rugs), or optimal pools for providing liquidity with minimal impermanent loss.
Proposed Solution :
Add an optional AI/ML module (using simple libraries like scikit-learn or integration with external APIs) to:
- Scan and predict liquidity additions on DEXs (e.g., Uniswap, Raydium) in real-time.
- Score tokens based on liquidity trends, volume, and historical data to identify high-potential or risky pools.
- Alert users or automate strategies (e.g., sniper mode for new low-liquidity tokens with growth signals).
This could start as a prototype script or connector, and integrate with existing strategies like pure market making or arbitrage.
Why this fits defillama?
defillama already supports liquidity provision and multi-DEX monitoring. Adding AI would make it more advanced for DeFi users, similar to tools like Kyber AI or custom sniper bots.
I'm willing to discuss implementation or submit a proof-of-concept PR if approved!
Additional context: Inspired by trends in AgentFi and AI agents for on-chain analysis.