Multi-Chain Yield Farming System with ML-Powered LP Scanner

An ML-powered DeFi yield farming system built for EndoTech, designed to scan Solana, Sui, and EVM DEXs for fresh LPs, evaluate yield potential in real time, and deliver high-quality alpha alerts for early positioning and capital optimization.

Yield Farming System with ML Powered Liquidity Pool Scanner
Yield Farming System with ML Powered Liquidity Pool Scanner

Client: Crypto Consult
Industry: DeFi Trading & Algorithmic Investment

Challenge:

EndoTech approached TAS with a vision to expand its AI-based trading infrastructure into decentralized finance. The objective was to build a sophisticated, automated yield farming system that could operate across Solana, Sui, and EVM-compatible chains, with real-time detection of newly created liquidity pools (LPs).

They needed more than just a bot — they wanted a machine learning–driven alpha discovery engine that could continuously scan for profitable farming opportunities, apply intelligent filters based on on-chain metrics, and deliver real-time alerts for early market positioning. Accuracy, execution speed, and scalability across chains were critical.

Solution:

TAS developed a full-fledged multi-chain yield farming optimization system, combining real-time blockchain monitoring with AI/ML-based decision intelligence.

Core features included:

  • 🔁 Real-Time LP Detection:
    Scans Raydium (Solana), Kriya (Sui), and leading EVM DEXs like Uniswap and PancakeSwap to detect new LPs within seconds of deployment.

  • 📊 ML-Powered Filtering Engine:
    Uses custom-trained models to score LPs based on TVL growth rate, volume patterns, and volatility, eliminating low-quality pools and scams.

  • 🧠 Alpha Prediction Module:
    Analyzes early signals from historical yield farming data to highlight pools with high short-term ROI potential.

  • 🚀 Sniping & Alerting System:
    Provides early entry alerts via Telegram, Discord, and API hooks, allowing traders to act before liquidity inflows spike.

  • 🔐 Risk Analysis Layer:
    Applies rug-pull detection logic and audits for token contracts and LP behaviors to prevent capital loss.

  • ⚙️ Cross-Chain Modularity:
    Easily extendable to new chains and protocols with plug-and-play adapters and endpoint fallback protection.

Results:

During test deployment across Solana and Sui, the system consistently outperformed manual tracking tools and generic bots:

  • ⏱ Detected new pools within 1–3 seconds of creation

  • 📈 Identified 30+ early-phase pools with >50% yield spikes in the first 48 hours

  • 🧠 ML filtering reduced false positives by 90%+ compared to baseline tools

  • ⚡ Enabled faster, smarter capital allocation with real-time risk-adjusted insights

This solution is now being integrated into EndoTech’s automated DeFi trading stack to enhance their portfolio diversification and alpha-capture capability across decentralized markets.

Technology Stack:

  • Languages: Python, Node.js, Rust (Solana adapters)

  • Blockchains: Solana, Sui, Ethereum, BNB Chain

  • DEX Integration: Raydium, Kriya, Uniswap, PancakeSwap

  • ML Stack: Scikit-learn, TensorFlow (custom LP scoring model)

  • Infra: Docker, WebSockets, Redis cache, Chain-specific RPC fallback

  • Notification: Telegram Bot API, Discord Webhooks, REST API

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