Crypto Wallet Performance Tracker
14 days trial then $10.00/month - No credit card required now
Crypto Wallet Performance Tracker
14 days trial then $10.00/month - No credit card required now
Track and analyze crypto wallet performance across multiple blockchains by scraping gmgn.ai. Monitor insider and whale wallets with PnL, win rate, and balance tracking. Supports Solana, Ethereum, Base, Tron, and Blast.
Track and analyze insider & whale wallet performance across multiple blockchains by scraping data from https://gmgn.ai/.
🚀 Introduction
- Powerful actor for discovering high-performing crypto wallets
- Automatically scrapes and analyzes wallet activity data
- Identifies potential insider and whale wallets
- Supports multiple major blockchain networks
- Perfect for traders, researchers, and developers
✨ Key Features
🔗 Multi-Blockchain Support
- Solana (SOL)
- Ethereum (ETH)
- Base (BASE)
- Tron (TRON)
- Blast (BLAST)
📊 Comprehensive Wallet Analysis
- PnL percentage calculations
- Win rate tracking
- Average realized profit metrics
- Balance tracking in tokens and USD
- Cost basis analysis
⚡ Powerful Capabilities
- Customizable time periods (7d/30d)
- Proxy configuration support
- Real-time data updates
- Structured output format
📝 Input Parameters
Parameter | Type | Required | Description |
---|---|---|---|
wallets | array | Yes | List of wallet addresses to analyze |
chain | string | Yes | Blockchain network (sol , eth , base , tron , blast ) |
daysOption | string | No | Analysis period (7d , 30d , default: 30d ) |
proxy | object | No | RECOMMENDED! Custom proxy configuration. See recommendation section |
Example Input
1{ 2 "wallets": [ 3 "61LtsXuMfC2SCUr7RYVRKBe3mmTTxUYeGt4HTN94CjKx", 4 "BieeZkdnBAgNYknzo3RH2vku7FcPkFZMZmRJANh2TpW" 5 ], 6 "proxy": { 7 "useApifyProxy": false, 8 "proxyUrls": [ 9 "http://username:password@my-proxy.example.com:port" 10 ] 11 }, 12 "chain": "sol", 13 "daysOption": "30d" 14}
📈 Output Data
Metrics Tracked
Metric | Description |
---|---|
Total PnL (USD) | Total profit/loss in USD across all trades |
PnL Percentage | Percentage return on investment (as float, e.g. 1.25 = 125%) |
Unrealized Profits | Current paper gains/losses on held positions |
Total Cost Basis | Total amount invested in purchases |
Average Token Cost | Mean price paid per token |
Average Realized Profit | Mean profit taken per successful trade |
Current Balance | Current native token balance held on the specified blockchain |
USD Balance | Current balance converted to USD value |
Win Rate | Percentage of profitable trades (as float, e.g. 0.685 = 68.5%) |
Time Period | Duration of analysis (7d/30d) |
Wallet Details | Address and blockchain information |
Error | Any errors encountered during analysis. Most of the time, this will be null |
Raw Example Json Output
1{ 2 "wallet": "61LtsXuMfC2SCUr7RYVRKBe3mmTTxUYeGt4HTN94CjKx", 3 "chain": "sol", 4 "daysOption": "30d", 5 "totalPnlUsdAmount": 15234.50, 6 "totalPnlPct": 25.6, 7 "unrealizedUsdProfit": 3421.75, 8 "totalUsdCost": 50000.00, 9 "tokenAvgUsdCost": 22.45, 10 "tokenAvgRealizedUsdProfit": 1250.80, 11 "balance": 2234.567, 12 "usdBalance": 53421.75, 13 "pnlPct": 25.6, 14 "winrate": 68.5, 15 "error": null 16}
TypeScript Interface
1interface WalletStats { 2 wallet: string; 3 chain: string; 4 daysOption: string; 5 totalPnlUsdAmount?: number; 6 totalPnlPct?: number; 7 unrealizedUsdProfit?: number; 8 totalUsdCost?: number; 9 tokenAvgUsdCost?: number; 10 tokenAvgRealizedUsdProfit?: number; 11 balance?: number; 12 usdBalance?: number; 13 pnlPct?: number; 14 winrate?: number; 15 error?: string; 16}
Python Model
1from pydantic import BaseModel 2from typing import Optional 3 4class WalletStats(BaseModel): 5 wallet: str 6 chain: str 7 daysOption: str 8 totalPnlUsdAmount: Optional[float] 9 totalPnlPct: Optional[float] 10 unrealizedUsdProfit: Optional[float] 11 totalUsdCost: Optional[float] 12 tokenAvgUsdCost: Optional[float] 13 tokenAvgRealizedUsdProfit: Optional[float] 14 balance: Optional[float] 15 usdBalance: Optional[float] 16 pnlPct: Optional[float] 17 winrate: Optional[float] 18 error: Optional[str]
🚦 Getting Started
-
Setup
- Create an Apify account
- Access the Crypto Wallet Performance Tracker
- Configure proxy settings (optional)
-
Running the Actor
- Input target wallet addresses
- Select blockchain network
- Choose analysis timeframe
- Start the actor
-
Accessing Results
- Download structured JSON output
- Integrate with your applications
- Analyze wallet performance metrics
💡 Recommendations
- Optimize Proxy Settings: If you're analyzing wallets on multiple blockchains simultaneously, consider configuring custom proxies to ensure reliable data scraping.
- Recommended Proxy Services:
- SOAX (soax.com) - Residential/Mobile/ISP, High success rate, Global coverage, Min. $100 per Month. Best choice for the best performance.
- IPRoyal (iproyal.com) - Residential/Datacenter, Affordable, Good performance, Min. $12
- Recommended Proxy Services:
- Don't use free proxies: Free proxies often have low success rates and can lead to unreliable data.
- Consider alternatives to Apify Proxies: Our tests show that Apify proxies can be slower and experience more frequent blocks compared to IPRoyal
💪 Benefits
Data Collection
- Automated wallet data gathering
- Real-time performance tracking
- Multi-chain support in one tool
Analysis Power
- Monitor trading performance
Developer-Friendly
- Clean, structured output
- TypeScript/Python support
- Easy API integration
💎 Pricing
- Just $10/month (+ Apify usage fees) to find wallets that make minimum 100% ROI
- Perfect for copy traders looking for winning strategies
Disclaimer: The tool provides insights based on historical wallet performance. Investment outcomes are subject to market risks, and past performance is not indicative of future results.
🎯 Use Cases
- Crypto Research
- Trading Strategy Development
- Whale Wallet Monitoring
- Market Analysis
- Portfolio Tracking
🤝 Support
- Documentation available
- Technical support
- Regular updates
- Community forum
🚀 Get Started Now
Don't miss out on valuable wallet insights. Start tracking high-performing wallets today!
Actor Metrics
19 monthly users
-
4 stars
>99% runs succeeded
Created in Nov 2024
Modified 15 days ago