Smart Wallet A (Trader)
    ↓  opens position
Mempool / Transaction Listener
    ↓  detects event
Agent Contract
    ↓  replicates (%allocated)
Smart Wallet B (Copier)

// Simplified copy trade listener
const ethers = require('ethers');

class CopyTradeAgent {
    constructor(config) {
        this.targetWallet = config.targetWallet;
        this.copyRatio = config.copyRatio;     // 0.0 to 1.0
        this.maxGas = config.maxGas;
        this.minDelay = config.minDelay;        // blocks to wait
        this.provider = new ethers.JsonRpcProvider(config.rpc);
        this.wallet = new ethers.Wallet(config.privateKey, this.provider);
    }

    async startListening() {
        this.provider.on('block', async (blockNumber) => {
            const block = await this.provider.getBlock(blockNumber, true);

            for (const tx of block.transactions) {
                if (tx.from.toLowerCase() === this.targetWallet.toLowerCase()) {
                    // Analyze transaction
                    if (this.isTradeTransaction(tx)) {
                        await this.executeCopy(tx);
                    }
                }
            }
        });
    }

    isTradeTransaction(tx) {
        // Filter for DEX swaps, position opens, etc.
        return tx.data.length > 10 && tx.value > 0;
    }

    async executeCopy(originalTx) {
        // Scale value by copy ratio
        const scaledValue = originalTx.value * BigInt(Math.floor(this.copyRatio * 100)) / 100n;

        // Apply min delay for safety
        await this.delay(this.minDelay * 12000); // ~12s per block

        // Execute copied transaction
        const tx = await this.wallet.sendTransaction({
            to: originalTx.to,
            data: originalTx.data,
            value: scaledValue,
            gasLimit: this.estimateGas(originalTx)
        });

        console.log(`[CopyTrade] Copied ${originalTx.hash.substring(0, 10)} → ${tx.hash}`);
    }
}

import json
import requests
from web3 import Web3

class PredictionMarketAgent:
    def __init__(self, config):
        self.api_url = config.get("polymarket_api", "https://clob.polymarket.com")
        self.llm_endpoint = config.get("llm_endpoint")
        self.risk_per_trade = config.get("risk_per_trade", 0.02)  # 2%

    def fetch_markets(self):
        """Get active prediction markets from Polymarket CLOB"""
        resp = requests.get(f"{self.api_url}/markets", params={
            "closed": False,
            "limit": 50
        })
        return resp.json()

    def analyze_market(self, market):
        """Use LLM to analyze market description and news context"""
        prompt = f"""
        Market: {market['question']}
        Description: {market['description']}
        Current Yes Price: {market['outcomePrices'][0]}
        Volume: {market['volume']}

        Analyze this prediction market. What is the probability 
        of the outcome occurring? Provide a confidence score 0-1 
        and reasoning.
        """

        response = requests.post(self.llm_endpoint, json={
            "prompt": prompt,
            "max_tokens": 200
        })

        return self.parse_analysis(response.json())

    def execute_if_advantageous(self, market, analysis):
        """Compare market implied probability vs AI prediction"""
        market_price = float(market['outcomePrices'][0])
        ai_confidence = analysis['confidence']

        # Kelly criterion for position sizing
        implied_prob = market_price
        edge = ai_confidence - implied_prob

        if edge > 0.05:  # 5% edge minimum
            kelly_fraction = edge / (1 - implied_prob)
            position_size = min(kelly_fraction * self.risk_per_trade, 0.1)

            print(f"[+] Edge detected: {market['question']}")
            print(f"    Market: {implied_prob:.2f} | AI: {ai_confidence:.2f}")
            print(f"    Position: {position_size:.2%} of capital")

            # Execute through smart contract
            self.place_order(market, position_size, ai_confidence > implied_prob)

class PassiveIncomeAgent:
    def __init__(self):
        self.strategies = {
            'copy_trade': CopyTradeStrategy(weight=0.4),
            'prediction_market': PredictionMarketStrategy(weight=0.3),
            'yield_farming': YieldFarmingStrategy(weight=0.3)
        }
        self.performance_log = []

    def daily_cycle(self):
        total_pnl = 0

        for name, strategy in self.strategies.items():
            pnl = strategy.execute_cycle()
            total_pnl += pnl
            self.performance_log.append({
                'strategy': name,
                'pnl': pnl,
                'timestamp': block.timestamp
            })

        # Rebalance weights based on 7-day performance
        if len(self.performance_log) >= 7:
            self.rebalance_strategies()

        # Auto-withdraw if above threshold
        if self.total_balance() > self.withdraw_threshold:
            self.withdraw_profits()

        return total_pnl

    def rebalance_strategies(self):
        """Shift weight toward best performing strategies"""
        recent = self.performance_log[-7:]
        performance = {s: 0 for s in self.strategies}

        for entry in recent:
            performance[entry['strategy']] += entry['pnl']

        total_pnl = sum(performance.values())
        if total_pnl > 0:
            for name in self.strategies:
                self.strategies[name].weight = performance[name] / total_pnl

# agent-config.yml
networks:
  ethereum:
    rpc:
      - https://eth-mainnet.g.alchemy.com/v2/KEY1
      - https://rpc.ankr.com/eth
    fallback_rpc:
      - https://eth-mainnet.public.blastapi.io
    monitor_interval: 12  # seconds

  arbitrum:
    rpc:
      - https://arb1.arbitrum.io/rpc
      - https://arbitrum-mainnet.infura.io/v3/KEY2

risk:
  max_daily_loss: 0.05        # 5% max daily drawdown
  max_position_size: 0.1      # 10% per position
  stop_loss: 0.15             # 15% trailing stop

withdraw:
  threshold: 0.5              # ETH, auto-withdraw above
  destination: "0x...."       # cold storage
  interval_hours: 24