name: Whale Wallet Copier description: Identifies wallets that achieved >100% APY in the last month and alerts you when they buy new tokens. Complete intelligence system for copy trading high-performing whales. version: 1.0.0 author: Sambit (Community Contributor) tags: [web3-data-intelligence, onchain-analysis, whale-tracking, copy-trading, trading-signals] category: Web3 Data Intelligence difficulty: Advanced estimated_time: 30-60 minutes last_updated: 2026-02-19
activation_triggers:
- "identify whale wallets"
- "find high performing traders"
- "copy trade whales"
- "track whale purchases"
- "alert on whale buys"
- "whale wallet analysis"
- "calculate wallet APY"
- "monitor successful traders"
parameters:
name: wallet_addresses type: List[str] required: true description: "List of wallet addresses to screen for whale performance"
name: min_apy type: float default: 100 description: "Minimum APY threshold to qualify as a whale (default 100%)"
name: days_back type: int default: 30 description: "Time period for performance analysis (default 30 days)"
name: check_interval type: int default: 60 description: "Seconds between transaction checks when monitoring (default 60s)"
name: monitor_duration type: int default: 1440 description: "How long to monitor whale wallets in minutes (default 24 hours)"
dependencies:
- requests==2.31.0
- datetime (builtin)
- typing (builtin)
api_requirements:
name: Etherscan API required: false free_tier: true description: "For fetching wallet transactions (5 calls/sec free tier)" signup_url: "https://etherscan.io/apis"
name: DexScreener API required: false free_tier: true description: "For token prices and analysis (300 calls/min free tier)" signup_url: "https://dexscreener.com"
environment_variables: ETHERSCAN_API_KEY: "Optional - for higher rate limits (free tier: YourApiKeyToken)"
supported_chains:
- Ethereum (primary)
- BSC (via Etherscan-like APIs)
- Polygon (via Etherscan-like APIs)
- Arbitrum (via Etherscan-like APIs)
use_cases:
- "Copy trade high-performing wallets automatically"
- "Early detection of promising tokens before they pump"
- "Whale activity intelligence and insights"
- "Portfolio strategy research and analysis"
- "Real-time trading signals from successful traders"
expected_output: - "List of whale wallets with >100% APY" - "Real-time alerts when whales buy new tokens" - "Token analysis (price, liquidity, safety score)" - "Actionable trading signals with confidence ratings" - "Performance reports and analytics"
Whale Wallet Copier (Trading Intelligence)
Overview
The Whale Wallet Copier is a comprehensive on-chain intelligence system that identifies high-performing Ethereum wallets (>100% APY) and monitors their transactions in real-time to generate actionable trading signals.
Core Value Proposition: Know what successful traders are buying before the market does.
Key Features
- Performance Tracking - Calculate wallet APY from transaction history
- Whale Discovery - Screen thousands of wallets to find top performers
- Real-Time Monitoring - Track whale purchases as they happen
- Token Analysis - Evaluate safety, liquidity, and potential of purchased tokens
- Trading Signals - Get actionable alerts with complete context
Problem Solved
Challenge: Retail traders lack the tools and intelligence that institutional players use to identify profitable opportunities early.
Solution: By tracking wallets that have proven track records (>100% APY), you can copy their strategy and catch winning tokens at the same time they do.
Real-World Impact:
- Early Entry: Buy tokens within minutes of whale purchases
- Proven Strategy: Follow wallets with verified performance, not random influencers
- Risk Management: Automatic token safety analysis filters scams
- Data-Driven: Decisions based on on-chain data, not speculation
Architecture
System Components
┌─────────────────────────────────────────────────────────────┐
│ Whale Wallet Copier System │
└─────────────────────────────────────────────────────────────┘
│
├─ 1. DISCOVERY PHASE
│ └─ whale_performance_tracker.py
│ - Fetch wallet transactions
│ - Calculate cost basis & current value
│ - Compute APY over time periods
│ - Identify whales (>100% APY)
│
├─ 2. MONITORING PHASE
│ └─ transaction_monitor.py
│ - Poll whale wallets for new txs
│ - Detect token purchases
│ - Filter spam & stablecoins
│ - Get token analysis (DexScreener)
│
└─ 3. ORCHESTRATION & ALERTS
└─ whale_alerter.py
- Coordinate discovery → monitoring
- Generate real-time alerts
- Save signals & reports
- Provide actionable intelligence
Data Flow
Wallet List → Screen for Performance → Identify Whales (>100% APY)
↓
Monitor Transactions
↓
Detect New Purchases
↓
Analyze Token Safety
↓
Generate Trading Signal
↓
Alert User (Buy Signal)
Installation
Prerequisites
- Python 3.10+
- Active internet connection
- Etherscan API key (optional, free tier available)
Setup
# Navigate to skill directory
cd web3-data-intelligence/whale-wallet-copier
# Install dependencies
pip install requests
# Optional: Set Etherscan API key for higher rate limits
export ETHERSCAN_API_KEY="your_api_key_here"
# Test installation
python scripts/whale_alerter.py
Usage
Quick Start - Full Workflow
from scripts.whale_alerter import WhaleWalletCopier
# Initialize
copier = WhaleWalletCopier(etherscan_api_key="YourAPIKey")
# Sample wallets to screen (replace with real addresses)
wallets = [
"0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb",
"0x220866B1A2219f40e72f5c628B65D54268cA3A9D",
#... add more wallets
]
# Run complete workflow: discover whales → monitor → report
copier.quick_start(
sample_wallets=wallets,
monitor_duration=60 # Monitor for 60 minutes
)
Step-by-Step Usage
1. Discover High-Performing Whales
from scripts.whale_alerter import WhaleWalletCopier
copier = WhaleWalletCopier()
# Screen wallets for performance
whales = copier.discover_whales_from_list(
wallet_addresses=["0x...", "0x...", ...],
min_apy=100, # >100% APY required
days_back=30, # Analyze last 30 days
min_portfolio_value=10000 # Min $10k portfolio
)
# Save discovered whales
copier.save_whales_to_file("my_whales.json")
# Results
for whale in whales[:5]:
print(f"Wallet: {whale['wallet']}")
print(f"APY: {whale['apy']:.1f}%")
print(f"Value: ${whale['current_value_usd']:,.0f}")
2. Monitor Whales for New Purchases
# Monitor top 10 whales
signals = copier.start_monitoring(
whale_wallets=[w['wallet'] for w in whales[:10]],
check_interval=60, # Check every 60 seconds
duration_minutes=120, # Monitor for 2 hours
save_signals=True
)
# Real-time alerts will print to console:
# 🐋 WHALE PURCHASE DETECTED!
# Token: PEPE (Pepe)
# Price: $0.00000123
# Liquidity: $1,250,000
# Safety: 75/100 (MODERATE)
3. Analyze Performance Manually
from scripts.whale_performance_tracker import WhalePerformanceTracker
tracker = WhalePerformanceTracker()
result = tracker.calculate_wallet_performance(
wallet_address="0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb",
days_back=30,
min_value_usd=1000
)
if result['success']:
perf = result['performance']
print(f"APY: {perf['apy_percent']:.2f}%")
print(f"Profit: ${perf['total_profit_usd']:,.2f}")
print(f"ROI: {perf['roi_percent']:.2f}%")
print(f"Is Whale: {perf['is_whale']}")
4. Monitor Specific Wallet Transactions
from scripts.transaction_monitor import TransactionMonitor
monitor = TransactionMonitor()
# Get recent transactions
txs = monitor.get_recent_transactions(
wallet_address="0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb",
minutes_back=30
)
# Detect purchases
purchases = monitor.detect_new_purchases(
wallet_address="0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb",
transactions=txs
)
# Analyze each purchase
for purchase in purchases:
analysis = monitor.get_token_analysis(purchase['token_address'])
print(f"Token: {purchase['token_symbol']}")
print(f"Safety: {analysis['safety_score']}/100")
print(f"Liquidity: ${analysis['liquidity_usd']:,.0f}")
Configuration
API Keys
# Option 1: Environment variable
export ETHERSCAN_API_KEY="your_key"
# Option 2: Pass directly
copier = WhaleWalletCopier(etherscan_api_key="your_key")
# Option 3: Use free tier (limited to 5 calls/sec)
copier = WhaleWalletCopier() # Uses default "YourApiKeyToken"
Performance Thresholds
# Adjust whale criteria
whales = copier.discover_whales_from_list(
wallet_addresses=wallets,
min_apy=150, # More strict: >150% APY
days_back=60, # Longer period: 60 days
min_portfolio_value=50000 # Higher minimum: $50k
)
Monitoring Settings
# Adjust monitoring parameters
signals = copier.start_monitoring(
check_interval=30, # Check more frequently (30s)
duration_minutes=1440, # Monitor for 24 hours
save_signals=True
)
How It Works
1. Performance Calculation
The system calculates wallet APY using this methodology:
Step 1: Fetch Transaction History
- Uses Etherscan API to get all ERC20 token transfers
- Filters by time window (e.g., last 30 days)
Step 2: Build Token Positions
- Tracks incoming transactions (buys)
- Tracks outgoing transactions (sells)
- Calculates net balance for each token
Step 3: Calculate Cost Basis
- Sums up all purchase amounts
- Approximates average entry price
- Note: For production, fetch historical prices for exact cost basis
Step 4: Get Current Value
- Fetches live token prices from DexScreener
- Multiplies balance × current price
- Sums across all positions
Step 5: Compute APY
profit = current_value - cost_basis
roi = (profit / cost_basis) * 100
apy = (roi / days) * 365
2. Transaction Monitoring
The monitoring system works continuously:
Real-Time Polling
Every check_interval seconds:
1. Fetch recent transactions for each whale wallet
2. Filter for incoming token transfers (purchases)
3. Exclude: sells, stablecoins, spam, self-transfers
4. For each new purchase:
a. Get token price & liquidity (DexScreener)
b. Calculate safety score
c. Generate alert with full analysis
Smart Filtering
- Stablecoin Filter: Ignores USDT, USDC, DAI (not interesting)
- Spam Filter: Removes transfers <0.01 tokens
- Duplicate Detection: Tracks last seen transaction per wallet
- Safety Scoring: 0-100 score based on liquidity, volume, market cap
3. Token Safety Analysis
Each token is scored on 4 dimensions (0-100 points):
| Metric | Weight | Criteria |
|---|---|---|
| Liquidity | 40% | >$1M = 40pts, >$500k = 35pts, >$100k = 25pts |
| Volume (24h) | 25% | >$1M = 25pts, >$500k = 20pts, >$100k = 15pts |
| Market Cap | 20% | >$10M = 20pts, >$5M = 15pts, >$1M = 10pts |
| Price Stability | 15% | <10% change = 15pts, <25% = 10pts, <50% = 5pts |
Safety Ratings:
- 80-100: SAFE ✅
- 60-79: MODERATE ⚠️
- 40-59: RISKY ⚠️⚠️
- 0-39: HIGH RISK ❌
Output Examples
Whale Discovery Output
================================================================================
WHALE DISCOVERY PHASE
================================================================================
Screening: 50 wallets
Criteria: APY >100%, Portfolio >$10,000
Period: Last 30 days
================================================================================
[1/50] Analyzing 0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb...
✅ WHALE IDENTIFIED!
APY: 287.3%
Value: $125,430
Profit: $98,200
[2/50] Analyzing 0x220866B1A2219f40e72f5c628B65D54268cA3A9D...
⏭️ Does not meet criteria (APY: 45.2%, Value: $8,500)
...
================================================================================
✅ WHALE DISCOVERY COMPLETE
================================================================================
Found: 8 qualifying whales
Top 5 Performers:
1. 0x742d35Cc6634C053... - APY: 287.3%
2. 0x8f5e9Bf82Db3e... - APY: 195.7%
3. 0x3a2f1e84Cc5b9... - APY: 142.8%
4. 0x9d7c2Aa34Eb5f... - APY: 128.4%
5. 0x5b8e3Ff92Dc7a... - APY: 115.9%
================================================================================
Purchase Alert Output
======================================================================
🐋 WHALE PURCHASE DETECTED!
======================================================================
Time: 2026-02-19 14:35:22
Wallet: 0x742d35Cc6634C053...
Token: PEPE (PepeCoin)
Amount: 1,000,000,000 PEPE
Tx: https://etherscan.io/tx/0xabc123...
📊 TOKEN ANALYSIS:
Price: $0.00000156
Liquidity: $2,450,000
24h Vol: $850,000
Market Cap: $15,600,000
24h Change: +12.5%
Safety: 82/100 (SAFE)
Chart: https://dexscreener.com/ethereum/0xdef456...
======================================================================
🎯 SIGNAL: BUY OPPORTUNITY
Whale with 287% APY just bought PEPE
High safety score (82/100)
Strong liquidity ($2.45M)
Consider buying: $0.00000156
Performance Report Example
================================================================================
WALLET PERFORMANCE ANALYSIS
================================================================================
Wallet: 0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb
Period: 30 days
💰 FINANCIAL METRICS:
Cost Basis: $42,150.00
Current Value: $125,430.00
Profit: $83,280.00
ROI: 197.65%
APY: 2,404.85%
🐋 WHALE STATUS: YES ✅
📈 TOP POSITIONS:
PEPE: $45,200.00 (+315.2%)
SHIB: $32,100.00 (+245.8%)
WOJAK: $28,500.00 (+180.4%)
DOGE: $19,630.00 (+52.3%)
FLOKI: $0.00 (-100.0% - SOLD)
API Integration
Etherscan API
Endpoint: https://api.etherscan.io/api
Action: account > tokentx (Get ERC20 token transfers)
Rate Limit: 5 calls/sec (free tier), 50 calls/sec (paid)
Documentation: https://docs.etherscan.io/api-endpoints/accounts
Example Request:
params = {
"module": "account",
"action": "tokentx",
"address": "0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb",
"startblock": 0,
"endblock": 99999999,
"sort": "desc",
"apikey": "YOUR_API_KEY"
}
DexScreener API
Endpoint: https://api.dexscreener.com/latest/dex/tokens/{address}
Rate Limit: 300 calls/min (free, no API key needed)
Documentation: https://docs.dexscreener.com/api/reference
Example Response:
{
"pairs": [{
"priceUsd": "0.00000156",
"liquidity": {"usd": 2450000},
"volume": {"h24": 850000},
"priceChange": {"h24": 12.5},
"marketCap": 15600000
}]
}
Performance & Limitations
Processing Times
| Operation | Duration | Notes |
|---|---|---|
| Wallet Performance Analysis | 3-5 seconds | Per wallet |
| Transaction Monitoring Check | 2-4 seconds | All whales combined |
| Token Safety Analysis | 1-2 seconds | Per token |
| Screen 100 Wallets | ~8 minutes | With rate limiting |
Rate Limits
Etherscan Free Tier:
- 5 calls/second
- 100,000 calls/day
- Recommendation: Add 0.3s delay between requests
DexScreener:
- 300 calls/minute
- No daily limit
- No API key required
Known Limitations
Cost Basis Approximation
- Current: Uses simplified average purchase price
- Limitation: Not exact unless you fetch historical prices
- Production Fix: Integrate CoinGecko/CoinMarketCap historical API
Chain Support
- Currently: Ethereum mainnet only (fully tested)
- Possible: BSC, Polygon, Arbitrum (via similar APIs)
- Requires: Chain-specific Etherscan-like API endpoints
Real-Time Latency
- Typical Delay: 30-120 seconds behind actual trade
- Reason: API polling interval + blockchain confirmation
- Mitigation: Use WebSocket for true real-time (advanced)
Spam/Scam Tokens
- Current: Basic filtering (stablecoins, small amounts)
- Advanced: Add honeypot detection, contract verification
- Recommendation: Always DYOR before buying
Advanced Features
Custom Whale Criteria
# Find aggressive day traders (high frequency, short timeframes)
whales = tracker.identify_whale_wallets(
wallet_addresses=wallets,
min_apy=200, # Very high APY
days_back=7 # Short timeframe = active trader
)
# Find stable long-term investors
whales = tracker.identify_whale_wallets(
wallet_addresses=wallets,
min_apy=50, # Lower but consistent
days_back=90 # Longer timeframe
)
Multi-Chain Support (Extended)
# Monitor BSC whales
from scripts.whale_performance_tracker import WhalePerformanceTracker
tracker = WhalePerformanceTracker()
tracker.etherscan_api = "https://api.bscscan.com/api" # BSC endpoint
tracker.etherscan_api_key = "YOUR_BSC_API_KEY"
result = tracker.calculate_wallet_performance(
wallet_address="0x...", # BSC wallet
days_back=30
)
Save & Load Whale Database
# Save discovered whales
copier.save_whales_to_file("top_whales.json")
# Load later for monitoring
copier.load_whales_from_file("top_whales.json")
# Resume monitoring
signals = copier.start_monitoring(duration_minutes=120)
Production Deployment
Recommended Setup
# 1. Use dedicated server (VPS recommended)
# 2. Install dependencies
pip install requests
# 3. Set API key
export ETHERSCAN_API_KEY="your_production_key"
# 4. Run as background service
nohup python scripts/whale_alerter.py &
# 5. Set up alerts (Discord, Telegram, Email)
# See integration examples below
Discord Integration (Example)
import requests
def send_discord_alert(signal):
webhook_url = "https://discord.com/api/webhooks/YOUR_WEBHOOK"
embed = {
"title": f"🐋 Whale Bought {signal['token_symbol']}!",
"description": f"Safety: {signal['analysis']['safety_score']}/100",
"color": 5814783,
"fields": [
{"name": "Price", "value": f"${signal['analysis']['price_usd']:.8f}"},
{"name": "Liquidity", "value": f"${signal['analysis']['liquidity_usd']:,.0f}"},
{"name": "Wallet", "value": signal['wallet'][:20] + "..."}
]
}
requests.post(webhook_url, json={"embeds": [embed]})
# Use in monitoring
signals = copier.start_monitoring(...)
for signal in signals:
send_discord_alert(signal)
Troubleshooting
Common Issues
Issue: "No transactions found or API error"
Solution: Check your Etherscan API key, verify wallet address format
Issue: "Rate limit exceeded"
Solution: Add longer delays (time.sleep(0.5)) or upgrade to paid API tier
Issue: "No whales found"
Solution: Lower min_apy threshold, increase days_back, or use different wallet list
Issue: "Token price not found"
Solution: Token may not have liquidity on DEXs tracked by DexScreener
Contributing
Found a bug or have a feature request? Contributions welcome!
License
MIT License - Free to use and modify
Disclaimer
IMPORTANT: This tool is for informational and educational purposes only.
- ⚠️ Not Financial Advice: Do not blindly copy whale trades
- ⚠️ DYOR: Always research tokens before buying
- ⚠️ Risk: Crypto trading is highly risky, you can lose money
- ⚠️ Scams: Not all tokens are legitimate, use safety scores as guidance
- ⚠️ Regulations: Ensure compliance with your local laws
Past performance (>100% APY) does not guarantee future results.
Support
For questions, issues, or feedback:
- GitHub Issues: [Submit an issue]
- Community: Join the discussion
- Documentation: See README.md for more examples
Last Updated: February 19, 2026
Version: 1.0.0
Status: Production Ready ✅