Yield Farming Cross-Chain Arbitrage: Bridge MEV Opportunities That Print Money

// Example: Ethereum to Polygon USDC bridge farming
const baseYield = {
  compound: 0.08,        // 8% APY on Compound
  aave: 0.06            // 6% APY on Aave
};

const bridgeRewards = {
  volume: 50000,         // Daily bridge volume
  fee: 0.003,           // 0.3% bridge fee
  yourShare: 0.15       // 15% liquidity share
};

const dailyBridgeIncome = bridgeRewards.volume * bridgeRewards.fee * bridgeRewards.yourShare;
const annualBridgeYield = (dailyBridgeIncome * 365) / 100000; // On $100k capital

console.log(`Total APY: ${(baseYield.compound + annualBridgeYield) * 100}%`);
// Output: Total APY: 35.5%

// Simplified bridge liquidity provision
contract BridgeLiquidityProvider {
    mapping(address => uint256) public deposits;
    uint256 public totalLiquidity;
    
    function provideLiquidity(uint256 amount) external {
        USDC.transferFrom(msg.sender, address(this), amount);
        deposits[msg.sender] += amount;
        totalLiquidity += amount;
    }
    
    function claimRewards() external {
        uint256 userShare = deposits[msg.sender] * 1e18 / totalLiquidity;
        uint256 rewards = accumulatedFees * userShare / 1e18;
        
        USDC.transfer(msg.sender, rewards);
    }
}

# Monitor cross-chain yield rates
import requests
import asyncio

class YieldMonitor:
    def __init__(self):
        self.protocols = {
            'ethereum': ['compound', 'aave', 'yearn'],
            'polygon': ['aave', 'quickswap'],
            'arbitrum': ['gmx', 'radiant'],
            'optimism': ['velodrome', 'beefy']
        }
    
    async def get_yields(self, chain, protocol, asset):
        # API call to get current yield rates
        url = f"https://api.{protocol}.finance/yields/{chain}/{asset}"
        response = await requests.get(url)
        return response.json()['apy']
    
    async def find_arbitrage_opportunities(self, asset='USDC'):
        yields = {}
        
        for chain in self.protocols:
            for protocol in self.protocols[chain]:
                try:
                    apy = await self.get_yields(chain, protocol, asset)
                    yields[f"{chain}_{protocol}"] = apy
                except:
                    continue
        
        # Sort by yield, calculate net profit after bridge costs
        sorted_yields = sorted(yields.items(), key=lambda x: x[1], reverse=True)
        
        for position in sorted_yields[:3]:
            print(f"Opportunity: {position[0]} - {position[1]:.2f}% APY")

monitor = YieldMonitor()
asyncio.run(monitor.find_arbitrage_opportunities())

// Track bridge token rewards across protocols
const bridgeTokens = {
  hop: {
    token: 'HOP',
    chains: ['ethereum', 'polygon', 'arbitrum'],
    multiplier: 1.5  // Extra rewards for cross-chain LPs
  },
  synapse: {
    token: 'SYN', 
    chains: ['ethereum', 'bsc', 'avalanche'],
    multiplier: 2.0
  }
};

function calculateTokenRewards(protocol, liquidityAmount, duration) {
  const baseRate = 0.1; // 10% of liquidity as tokens annually
  const multiplier = bridgeTokens[protocol].multiplier;
  
  return liquidityAmount * baseRate * multiplier * (duration / 365);
}

// Example: $50k in Hop bridge for 30 days
const hopRewards = calculateTokenRewards('hop', 50000, 30);
console.log(`Expected HOP tokens: ${hopRewards}`);

pragma solidity ^0.8.0;

import "@aave/core-v3/contracts/flashloan/interfaces/IFlashLoanReceiver.sol";

contract FlashBridgeArbitrage is IFlashLoanReceiver {
    address constant AAVE_POOL = 0x87870Bace7f90c68d6E87111888CE932bBF2b74E;
    
    function executeArbitrage(
        address asset,
        uint256 amount,
        uint256 targetChainId
    ) external {
        // 1. Take flash loan
        address[] memory assets = new address[](1);
        assets[0] = asset;
        
        uint256[] memory amounts = new uint256[](1);
        amounts[0] = amount;
        
        ILendingPool(AAVE_POOL).flashLoan(
            address(this),
            assets,
            amounts,
            new uint256[](1), // modes
            address(this),
            abi.encode(targetChainId),
            0
        );
    }
    
    function executeOperation(
        address[] calldata assets,
        uint256[] calldata amounts,
        uint256[] calldata premiums,
        address initiator,
        bytes calldata params
    ) external override returns (bool) {
        uint256 targetChainId = abi.decode(params, (uint256));
        
        // 2. Bridge assets to profitable chain
        bridgeToChain(assets[0], amounts[0], targetChainId);
        
        // 3. Earn yield on target chain (simulated)
        uint256 profit = simulateYieldEarning(amounts[0]);
        
        // 4. Bridge back
        bridgeFromChain(assets[0], amounts[0] + profit, 1); // Back to Ethereum
        
        // 5. Repay flash loan
        IERC20(assets[0]).transfer(AAVE_POOL, amounts[0] + premiums[0]);
        
        return true;
    }
}

# MEV bot for bridge opportunities
import asyncio
import websockets
from web3 import Web3

class BridgeMEVBot:
    def __init__(self, networks):
        self.networks = networks
        self.pending_txs = {}
        
    async def monitor_mempool(self, network):
        """Monitor pending bridge transactions"""
        ws_url = f"wss://{network}.g.alchemy.com/v2/YOUR_KEY"
        
        async with websockets.connect(ws_url) as websocket:
            subscribe_msg = {
                "jsonrpc": "2.0",
                "id": 1,
                "method": "eth_subscribe",
                "params": ["alchemy_pendingTransactions"]
            }
            
            await websocket.send(json.dumps(subscribe_msg))
            
            async for message in websocket:
                tx_data = json.loads(message)
                await self.analyze_bridge_tx(tx_data)
    
    async def analyze_bridge_tx(self, tx_data):
        """Identify profitable bridge MEV opportunities"""
        if self.is_bridge_transaction(tx_data):
            opportunity = self.calculate_mev_opportunity(tx_data)
            
            if opportunity['profit'] > opportunity['gas_cost'] * 2:
                await self.execute_mev_strategy(opportunity)
    
    def is_bridge_transaction(self, tx_data):
        """Check if transaction is bridge-related"""
        bridge_contracts = [
            '0x3666f603cc164936c1b87e207f36beba4ac5f18a',  # Hop
            '0x2796317b0ff8538f253012862c06787adfb8ceb6',  # Synapse
            # Add more bridge contracts
        ]
        
        return tx_data.get('to', '').lower() in [addr.lower() for addr in bridge_contracts]

# Run the MEV bot
bot = BridgeMEVBot(['ethereum', 'polygon', 'arbitrum'])
asyncio.run(bot.monitor_mempool('ethereum'))

const riskFactors = {
  protocolAge: {
    weight: 0.25,
    score: (months) => Math.min(months / 12, 1) // Max score at 12 months
  },
  auditScore: {
    weight: 0.30,
    score: (audits) => Math.min(audits.length / 3, 1) // Max score at 3 audits
  },
  tvl: {
    weight: 0.20, 
    score: (tvl) => Math.min(tvl / 100000000, 1) // Max score at $100M TVL
  },
  bridgeVolume: {
    weight: 0.25,
    score: (daily) => Math.min(daily / 10000000, 1) // Max score at $10M daily
  }
};

function calculateRiskScore(protocol) {
  let totalScore = 0;
  
  for (const factor in riskFactors) {
    const weight = riskFactors[factor].weight;
    const score = riskFactors[factor].score(protocol[factor]);
    totalScore += weight * score;
  }
  
  return Math.round(totalScore * 100);
}

// Example assessment
const hopProtocol = {
  protocolAge: 18,        // 18 months old
  auditScore: 4,          // 4 security audits
  tvl: 85000000,         // $85M TVL
  bridgeVolume: 8000000  // $8M daily volume
};

console.log(`Hop Risk Score: ${calculateRiskScore(hopProtocol)}/100`);
// Output: Hop Risk Score: 88/100

class PositionManager:
    def __init__(self, total_capital):
        self.total_capital = total_capital
        self.max_bridge_allocation = 0.4  # 40% max in bridges
        self.max_single_protocol = 0.1   # 10% max per protocol
        
    def calculate_position_size(self, protocol_risk_score, expected_apy):
        """Calculate optimal position size based on risk-adjusted returns"""
        risk_adjustment = protocol_risk_score / 100
        position_multiplier = risk_adjustment * min(expected_apy / 0.2, 1)
        
        max_position = self.total_capital * self.max_single_protocol
        optimal_position = self.total_capital * 0.05 * position_multiplier
        
        return min(max_position, optimal_position)
    
    def diversify_across_bridges(self, opportunities):
        """Spread capital across multiple bridge protocols"""
        total_bridge_capital = self.total_capital * self.max_bridge_allocation
        
        allocations = {}
        remaining_capital = total_bridge_capital
        
        for protocol, data in opportunities.items():
            position_size = self.calculate_position_size(
                data['risk_score'], 
                data['expected_apy']
            )
            
            allocation = min(position_size, remaining_capital)
            allocations[protocol] = allocation
            remaining_capital -= allocation
            
            if remaining_capital <= 0:
                break
                
        return allocations

# Example usage
manager = PositionManager(1000000)  # $1M portfolio
opportunities = {
    'hop': {'risk_score': 88, 'expected_apy': 0.35},
    'synapse': {'risk_score': 82, 'expected_apy': 0.42},
    'across': {'risk_score': 75, 'expected_apy': 0.28}
}

allocations = manager.diversify_across_bridges(opportunities)
print("Recommended allocations:", allocations)

// Automated bridge farming system
class AutomatedBridgeFarmer {
    constructor() {
        this.protocols = new Map();
        this.rebalanceThreshold = 0.02; // 2% yield difference
        this.maxSlippage = 0.005; // 0.5% max slippage
    }
    
    async addProtocol(name, config) {
        this.protocols.set(name, {
            ...config,
            currentYield: await this.getCurrentYield(config),
            allocation: 0
        });
    }
    
    async rebalancePortfolio() {
        const yields = new Map();
        
        // Get current yields for all protocols
        for (const [name, protocol] of this.protocols) {
            yields.set(name, await this.getCurrentYield(protocol));
        }
        
        // Find highest yielding opportunities
        const sortedYields = [...yields.entries()]
            .sort(([,a], [,b]) => b - a);
        
        // Rebalance if yield difference exceeds threshold
        const topYield = sortedYields[0][1];
        const currentYield = this.getCurrentPortfolioYield();
        
        if ((topYield - currentYield) > this.rebalanceThreshold) {
            await this.executeRebalance(sortedYields);
        }
    }
    
    async executeRebalance(yields) {
        console.log('Executing rebalance...');
        
        // Withdraw from low-yield positions
        for (const [protocol, allocation] of this.getCurrentAllocations()) {
            if (allocation > 0 && this.shouldWithdraw(protocol, yields)) {
                await this.withdrawFromProtocol(protocol, allocation);
            }
        }
        
        // Deposit to high-yield positions  
        const targetAllocations = this.calculateTargetAllocations(yields);
        
        for (const [protocol, amount] of targetAllocations) {
            if (amount > 0) {
                await this.depositToProtocol(protocol, amount);
            }
        }
        
        console.log('Rebalance complete');
    }
}

// Deploy automated farmer
const farmer = new AutomatedBridgeFarmer();

// Add protocols
await farmer.addProtocol('hop', {
    chainId: 1,
    poolAddress: '0x...',
    tokenAddress: '0x...'
});

// Start automated rebalancing (every 4 hours)
setInterval(() => farmer.rebalancePortfolio(), 4 * 60 * 60 * 1000);

-- SQL queries for performance tracking
SELECT 
    protocol_name,
    AVG(daily_yield) * 365 as annualized_yield,
    STDDEV(daily_yield) * SQRT(365) as volatility,
    AVG(daily_yield) / STDDEV(daily_yield) * SQRT(365) as sharpe_ratio
FROM bridge_yields 
WHERE date >= DATE_SUB(NOW(), INTERVAL 90 DAY)
GROUP BY protocol_name;

-- Bridge volume correlation with yields
SELECT 
    DATE(timestamp) as date,
    SUM(bridge_volume) as total_volume,
    AVG(yield_rate) as avg_yield,
    CORR(bridge_volume, yield_rate) as correlation
FROM bridge_analytics 
GROUP BY DATE(timestamp)
ORDER BY date DESC
LIMIT 30;

async function executeBridgeWithRetry(bridgeParams, maxRetries = 3) {
    let attempt = 0;
    
    while (attempt < maxRetries) {
        try {
            // Dynamic gas pricing based on network congestion
            const gasPrice = await getDynamicGasPrice();
            
            const tx = await bridgeContract.bridge(
                bridgeParams.amount,
                bridgeParams.targetChain,
                bridgeParams.recipient,
                { gasPrice: gasPrice * (1 + attempt * 0.1) } // Increase gas by 10% each retry
            );
            
            return await tx.wait();
            
        } catch (error) {
            attempt++;
            
            if (attempt >= maxRetries) {
                throw new Error(`Bridge failed after ${maxRetries} attempts: ${error.message}`);
            }
            
            // Wait before retry (exponential backoff)
            await new Promise(resolve => setTimeout(resolve, 2000 * attempt));
        }
    }
}

def calculate_impermanent_loss(price_ratio):
    """Calculate impermanent loss for bridge pool LPs"""
    if price_ratio <= 0:
        return 0
    
    # Formula for impermanent loss
    return 2 * (price_ratio ** 0.5) / (1 + price_ratio) - 1

def should_exit_position(entry_price, current_price, yield_earned):
    """Determine if impermanent loss exceeds yield earned"""
    price_ratio = current_price / entry_price
    il = calculate_impermanent_loss(price_ratio)
    
    return abs(il) > yield_earned * 0.8  # Exit if IL > 80% of yield

# Monitor positions
positions = get_active_positions()
for position in positions:
    if should_exit_position(position.entry_price, position.current_price, position.yield_earned):
        print(f"Exit signal for {position.protocol}: IL exceeds yield")

// Batch multiple bridge operations
contract BatchBridgeOperations {
    struct BridgeOperation {
        address token;
        uint256 amount;
        uint256 targetChain;
        address recipient;
    }
    
    function batchBridge(BridgeOperation[] calldata operations) external {
        uint256 totalGas = 0;
        
        for (uint i = 0; i < operations.length; i++) {
            uint256 gasStart = gasleft();
            
            // Execute bridge operation
            IBridge(getBridgeForChain(operations[i].targetChain)).bridge(
                operations[i].token,
                operations[i].amount,
                operations[i].targetChain,
                operations[i].recipient
            );
            
            totalGas += gasStart - gasleft();
        }
        
        emit BatchBridgeComplete(operations.length, totalGas);
    }
    
    function optimizeGasTiming() external view returns (uint256 optimalGasPrice) {
        // Check network congestion and suggest optimal gas price
        uint256 pendingTxs = block.number; // Simplified metric
        
        if (pendingTxs < 100) {
            return 20 gwei;        // Low congestion
        } else if (pendingTxs < 200) {
            return 35 gwei;        // Medium congestion  
        } else {
            return 60 gwei;        // High congestion
        }
    }
}

class CrossChainYieldOptimizer:
    def __init__(self):
        self.chains = {
            'ethereum': {'rpc': 'https://eth-mainnet.g.alchemy.com/v2/KEY'},
            'polygon': {'rpc': 'https://polygon-mainnet.g.alchemy.com/v2/KEY'},
            'arbitrum': {'rpc': 'https://arb-mainnet.g.alchemy.com/v2/KEY'},
            'optimism': {'rpc': 'https://opt-mainnet.g.alchemy.com/v2/KEY'}
        }
        self.yield_threshold = 0.02  # 2% minimum yield difference
        
    async def scan_all_opportunities(self):
        """Scan all chains for yield opportunities"""
        opportunities = []
        
        for chain_name, config in self.chains.items():
            chain_yields = await self.get_chain_yields(chain_name)
            
            for protocol, yield_data in chain_yields.items():
                opportunities.append({
                    'chain': chain_name,
                    'protocol': protocol,
                    'apy': yield_data['apy'],
                    'tvl': yield_data['tvl'],
                    'risk_score': yield_data['risk_score']
                })
        
        return sorted(opportunities, key=lambda x: x['apy'], reverse=True)
    
    async def execute_optimal_strategy(self, capital_amount):
        """Execute the optimal cross-chain strategy"""
        opportunities = await self.scan_all_opportunities()
        
        # Filter by minimum yield and risk requirements
        viable_ops = [
            op for op in opportunities 
            if op['apy'] > 0.15 and op['risk_score'] > 70
        ]
        
        if not viable_ops:
            print("No viable opportunities found")
            return
        
        # Calculate optimal allocation
        allocation = self.calculate_optimal_allocation(viable_ops, capital_amount)
        
        # Execute strategy
        for alloc in allocation:
            await self.deploy_capital(alloc)
            
        print(f"Deployed {capital_amount} across {len(allocation)} opportunities")

# Run the optimizer
optimizer = CrossChainYieldOptimizer()
await optimizer.execute_optimal_strategy(100000)  # Deploy $100k