How to Setup Yield Farming Alerts: Portfolio Tracking Tools and Apps

// DeBank API integration example
const axios = require('axios');

async function getPortfolioData(walletAddress) {
  const response = await axios.get(
    `https://openapi.debank.com/v1/user/total_balance?id=${walletAddress}`,
    {
      headers: {
        'AccessKey': 'YOUR_API_KEY'
      }
    }
  );
  
  // Monitor yield farming positions
  const farmingPositions = response.data.portfolio_item_list.filter(
    item => item.detail_types.includes('farming')
  );
  
  return farmingPositions;
}

import requests
import json

def setup_zerion_alerts(api_key, wallet_address):
    """
    Configure Zerion alerts for yield farming positions
    """
    headers = {
        'Authorization': f'Bearer {api_key}',
        'Content-Type': 'application/json'
    }
    
    alert_config = {
        'wallet_address': wallet_address,
        'alert_types': [
            {
                'type': 'apy_threshold',
                'threshold': 5.0,  # 5% APY drop
                'enabled': True
            },
            {
                'type': 'impermanent_loss',
                'threshold': 3.0,  # 3% IL threshold
                'enabled': True
            }
        ],
        'notification_channels': ['email', 'webhook']
    }
    
    response = requests.post(
        'https://api.zerion.io/v1/alerts',
        headers=headers,
        data=json.dumps(alert_config)
    )
    
    return response.json()

// Smart contract interaction tracking
contract YieldFarmingTracker {
    mapping(address => UserData) public users;
    
    struct UserData {
        uint256 totalDeposited;
        uint256 lastRewardClaim;
        uint256 alertThreshold;
    }
    
    event AlertTriggered(
        address indexed user,
        string alertType,
        uint256 value
    );
    
    function setAlertThreshold(uint256 _threshold) external {
        users[msg.sender].alertThreshold = _threshold;
    }
}

import telegram
from telegram.ext import Updater, CommandHandler

def send_farming_alert(bot_token, chat_id, message):
    """
    Send yield farming alert via Telegram
    """
    bot = telegram.Bot(token=bot_token)
    
    alert_message = f"🚨 YIELD FARMING ALERT 🚨\n\n{message}\n\nCheck your positions immediately!"
    
    bot.send_message(
        chat_id=chat_id,
        text=alert_message,
        parse_mode='Markdown'
    )

import time
import requests
from web3 import Web3

class YieldFarmingMonitor:
    def __init__(self, rpc_url, wallet_address):
        self.w3 = Web3(Web3.HTTPProvider(rpc_url))
        self.wallet = wallet_address
        self.alert_thresholds = {
            'apy_drop': 5.0,
            'impermanent_loss': 3.0,
            'new_pool_apy': 50.0
        }
    
    def check_positions(self):
        """
        Monitor all yield farming positions
        """
        positions = self.get_farming_positions()
        
        for position in positions:
            current_apy = self.calculate_current_apy(position)
            
            # Check APY drop alert
            if self.apy_dropped_significantly(position, current_apy):
                self.send_alert(
                    f"APY dropped to {current_apy}% for {position['protocol']}"
                )
            
            # Check impermanent loss
            il_percentage = self.calculate_impermanent_loss(position)
            if il_percentage > self.alert_thresholds['impermanent_loss']:
                self.send_alert(
                    f"Impermanent loss: {il_percentage}% on {position['pair']}"
                )
    
    def monitor_continuously(self):
        """
        Run continuous monitoring loop
        """
        while True:
            try:
                self.check_positions()
                self.scan_new_opportunities()
                time.sleep(300)  # Check every 5 minutes
            except Exception as e:
                print(f"Monitoring error: {e}")
                time.sleep(60)  # Wait 1 minute before retry

# Usage
monitor = YieldFarmingMonitor(
    rpc_url="https://mainnet.infura.io/v3/YOUR_KEY",
    wallet_address="0xYourWalletAddress"
)
monitor.monitor_continuously()

const { ethers } = require('ethers');

class AutomatedYieldOptimizer {
    constructor(provider, privateKey) {
        this.provider = provider;
        this.wallet = new ethers.Wallet(privateKey, provider);
        this.alertActions = new Map();
    }
    
    // Define automated responses to alerts
    setupAlertActions() {
        this.alertActions.set('apy_drop', async (data) => {
            // Automatically withdraw if APY drops below threshold
            if (data.newApy < 5.0) {
                await this.withdrawFromPool(data.poolAddress);
            }
        });
        
        this.alertActions.set('high_apy_pool', async (data) => {
            // Automatically deposit into high-yield opportunities
            if (data.apy > 100.0 && data.riskScore < 3) {
                await this.depositToPool(data.poolAddress, data.amount);
            }
        });
    }
    
    async executeAlertAction(alertType, data) {
        const action = this.alertActions.get(alertType);
        if (action) {
            try {
                await action(data);
                console.log(`Automated action executed for ${alertType}`);
            } catch (error) {
                console.error(`Action failed: ${error.message}`);
            }
        }
    }
}

# Optimize monitoring frequency
def adaptive_monitoring_interval(volatility_score):
    """
    Adjust monitoring frequency based on market conditions
    """
    if volatility_score > 8:
        return 60  # Check every minute during high volatility
    elif volatility_score > 5:
        return 300  # Check every 5 minutes
    else:
        return 900  # Check every 15 minutes during calm periods

import time
from functools import wraps

def rate_limit(calls_per_minute=60):
    """
    Decorator to handle API rate limiting
    """
    min_interval = 60.0 / calls_per_minute
    last_called = [0.0]
    
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            elapsed = time.time() - last_called[0]
            left_to_wait = min_interval - elapsed
            if left_to_wait > 0:
                time.sleep(left_to_wait)
            ret = func(*args, **kwargs)
            last_called[0] = time.time()
            return ret
        return wrapper
    return decorator

@rate_limit(calls_per_minute=30)
def fetch_portfolio_data(api_endpoint):
    # Your API call here
    pass

import hmac
import hashlib

def verify_webhook_signature(payload, signature, secret):
    """
    Verify webhook payload authenticity
    """
    expected_signature = hmac.new(
        secret.encode(),
        payload.encode(),
        hashlib.sha256
    ).hexdigest()
    
    return hmac.compare_digest(
        f"sha256={expected_signature}",
        signature
    )

def calculate_monitoring_roi(manual_hours_saved, hourly_rate, tool_cost):
    """
    Calculate ROI of automated monitoring tools
    """
    monthly_time_value = manual_hours_saved * hourly_rate
    roi_percentage = ((monthly_time_value - tool_cost) / tool_cost) * 100
    
    return {
        'monthly_savings': monthly_time_value - tool_cost,
        'roi_percentage': roi_percentage,
        'break_even_hours': tool_cost / hourly_rate
    }

# Example calculation
roi = calculate_monitoring_roi(
    manual_hours_saved=20,  # Hours per month
    hourly_rate=50,         # Your time value
    tool_cost=25           # Monthly subscription
)
print(f"Monthly savings: ${roi['monthly_savings']}")
print(f"ROI: {roi['roi_percentage']}%")