3.1 Predictive DeFi Liquidity

Avilom enables AMMs to adapt liquidity based on AI forecasts.

🧠 Architecture

[On-Chain Feeds] ───┐
                   ├► Preprocessor ─► LSTM+Attention Model ─► Prediction Store (Oracle)
[Off-Chain APIs] ──┘                             │
[Sentiment Feeds] ───────────────────────────────┘
                                                  │
                                       AMM Pool ──► adjustLiquidity()

🧪 Sample Contract

interface IPredictiveOracle {
    struct Prediction { int256 delta5m; uint256 confidence; }
    function getPrediction(bytes32 pair) external view returns (Prediction memory);
}

contract PredictiveAMM {
    IPredictiveOracle oracle;
    bytes32 key = keccak256("ETH/USDC");

    function adjust() external {
        auto p = oracle.getPrediction(key);
        require(p.confidence >= 70, "low confidence");
        if (p.delta5m > 0) rebalanceToken0(uint(p.delta5m));
        else rebalanceToken1(uint(-p.delta5m));
    }
}

📊 Benchmarks

• RMSE (5-min delta): 0.0025 (0.25%)

• Slippage ↓ 30% vs static pools

• LP Yield ↑ 2.5% APY over 30 days

🛠️ Integration Steps

• Deploy PredictiveOracle node cluster

• Extend AMM contract with adjust()

• Tune confidence thresholds via governance