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Merge pull request #138 from ashuxshimra/feature/tokenMetricsPlugin
feat: add Token Metrics plugin for Virtuals GAME framework - Complete…
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# Changelog
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All notable changes to the Token Metrics Virtuals Plugin will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [1.0.0] - 2024-12-19
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### 🎉 Initial Release
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#### Added
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- ✨ Complete integration with Virtuals Protocol GAME framework
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- 🔌 17 Token Metrics API endpoints as AI-callable functions
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- 🤖 Full GameAgent compatibility with natural language processing
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- 📊 Comprehensive cryptocurrency analysis capabilities
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- 💬 Interactive chat interface for testing and exploration
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- 🛡️ Built-in error handling and rate limiting
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- 📚 Comprehensive documentation and examples
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- 🧪 Complete testing suite with 17+ example files
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- 🔷 Full TypeScript support with type definitions
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- ⚡ Beautiful formatted responses with color coding
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#### Core Functions
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- `getTokens` - Get supported cryptocurrencies and TOKEN_IDs
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- `getTopMarketCapTokens` - Retrieve top cryptos by market cap
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- `getPriceData` - Get current market prices
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- `getTraderGrades` - AI-powered trader performance grades
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- `getInvestorGrades` - Investor performance analysis
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- `getTradingSignals` - Buy/sell/hold recommendations
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- `getMarketMetrics` - Comprehensive market analysis
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- `getQuantmetrics` - Quantitative trading metrics
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- `getHourlyOhlcv` - Hourly OHLC data with volume
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- `getDailyOhlcv` - Daily OHLC with technical indicators
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- `getAiReports` - AI-generated market reports
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- `getTokenMetricsAi` - Custom AI analysis queries
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- `getSentiments` - Market sentiment analysis
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- `getCryptoInvestors` - Crypto investor performance
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- `getResistanceSupport` - Resistance and support levels
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- `getScenarioAnalysis` - Scenario-based projections
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- `getCorrelation` - Crypto correlation analysis
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#### Documentation
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- 📖 Comprehensive README with quick start guide
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- 🛠️ Developer Integration Guide with step-by-step instructions
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- 🧪 Complete Test Guide covering all endpoints
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- 📋 API Reference with detailed function documentation
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- 🔧 Environment setup with example configuration
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- 📄 MIT License for open source usage
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#### Developer Experience
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- 🚀 5-step integration process
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- 🎛️ Flexible configuration options
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- 🔧 Multiple integration approaches (full vs. selective functions)
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- 🧪 Comprehensive testing tools and examples
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- 💬 Interactive chat interface for hands-on testing
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- 🛡️ Production-ready error handling and logging
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---
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## [Unreleased]
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### Planned Features
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- 📈 Additional technical analysis indicators
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- 🔔 Real-time notifications and alerts
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- 📊 Enhanced data visualization capabilities
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- 🤖 Advanced AI conversation features
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- 🔄 Webhook support for real-time updates
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---
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## Contributing
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When contributing to this project, please:
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1. Update the CHANGELOG.md with your changes
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2. Follow semantic versioning for version numbers
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3. Include comprehensive tests for new features
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4. Update documentation as needed
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## Version History
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- **v1.0.0** - Initial release with 17 Token Metrics endpoints
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- **Future versions** - See [Unreleased] section above
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# Comprehensive Token Metrics Plugin Test Guide
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## 🧪 **Complete Endpoint Testing - All 17 Endpoints**
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### **📋 Core Data Endpoints (Direct API Access)**
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#### **1. Tokens List** (`getTokens`)
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```bash
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npm run example:tokens
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```
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**What it does**: Get list of all supported cryptocurrencies with their TOKEN_IDs
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**Use case**: Find token IDs for other API calls
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#### **2. Top Market Cap Tokens** (`getTopMarketCapTokens`)
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```bash
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npm run example:top-market-cap
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```
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**What it does**: Get top cryptocurrencies by market capitalization
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**Use case**: Identify market leaders and trending tokens
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#### **3. Price Data** (`getPriceData`)
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```bash
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npm run example:price-data
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```
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**What it does**: Get current prices for specific token IDs
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**Use case**: Real-time price monitoring
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#### **4. Trader Grades** (`getTraderGrades`)
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```bash
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npm run example:trader-grades
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```
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**What it does**: AI-generated trading scores for tokens
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**Use case**: Short-term trading decisions
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#### **5. Investor Grades** (`getInvestorGrades`)
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```bash
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npm run example:investor-grades
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```
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**What it does**: Long-term investment ratings
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**Use case**: Portfolio building and investment decisions
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#### **6. Market Metrics** (`getMarketMetrics`)
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```bash
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npm run example:market-metrics
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```
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**What it does**: Overall market indicators and trends
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**Use case**: Market timing and macro analysis
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#### **7. Quantmetrics** (`getQuantmetrics`)
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```bash
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npm run example:quantmetrics
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```
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**What it does**: Quantitative analysis and metrics
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**Use case**: Advanced technical analysis
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#### **8. Hourly OHLCV** (`getHourlyOhlcv`)
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```bash
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npm run example:hourly-ohlcv
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```
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**What it does**: Hourly price data (Open, High, Low, Close, Volume)
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**Use case**: Short-term technical analysis
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#### **9. Daily OHLCV** (`getDailyOhlcv`)
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```bash
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npm run example:daily-ohlcv
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```
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**What it does**: Daily price data for longer-term analysis
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**Use case**: Long-term trend analysis
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#### **10. AI Reports** (`getAiReports`)
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```bash
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npm run example:ai-reports
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```
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**What it does**: Comprehensive AI-generated analysis reports
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**Use case**: Deep fundamental analysis
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#### **11. Crypto Investors** (`getCryptoInvestors`)
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```bash
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npm run example:crypto-investors
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```
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**What it does**: Institutional investor data and insights
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**Use case**: Following smart money
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#### **12. Resistance/Support** (`getResistanceSupport`)
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```bash
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npm run example:resistance-support
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```
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**What it does**: Technical analysis support and resistance levels
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**Use case**: Entry/exit point identification
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#### **13. Trading Signals** (`getTradingSignals`)
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```bash
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npm run example:trading-signals
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```
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**What it does**: AI-generated buy/sell recommendations
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**Use case**: Automated trading decisions
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---
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### **🚀 New Advanced Endpoints (Chat Interface + Direct)**
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#### **14. Token Metrics AI Chat** (`getTokenMetricsAi`)
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```bash
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npm run example:tokenmetrics-ai
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```
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**Chat prompts**:
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- `"What is the next 100x coin?"`
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- `"How does DeFi work?"`
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- `"Should I invest in Bitcoin?"`
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- `"AI explain blockchain technology"`
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#### **15. Sentiment Analysis** (`getSentiments`)
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```bash
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npm run example:sentiments
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```
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**Chat prompts**:
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- `"market sentiment"`
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- `"sentiment analysis"`
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- `"social media sentiment"`
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- `"twitter sentiment"`
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#### **16. Scenario Analysis** (`getScenarioAnalysis`)
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```bash
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npm run example:scenario-analysis
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```
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**Chat prompts**:
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- `"price prediction"`
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- `"scenario analysis"`
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- `"bitcoin price scenarios"`
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- `"price forecast"`
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#### **17. Correlation Analysis** (`getCorrelation`)
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```bash
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npm run example:correlation
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```
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**Chat prompts**:
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- `"correlations"`
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- `"portfolio correlations"`
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- `"diversification analysis"`
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- `"token relationships"`
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---
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## 🎯 **Quick Test Sequence**
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### **Method 1: Individual Examples (All 17)**
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```bash
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# Core data endpoints
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npm run example:tokens
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npm run example:top-market-cap
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npm run example:price-data
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npm run example:trader-grades
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npm run example:investor-grades
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npm run example:market-metrics
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npm run example:quantmetrics
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npm run example:hourly-ohlcv
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npm run example:daily-ohlcv
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npm run example:ai-reports
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npm run example:crypto-investors
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npm run example:resistance-support
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npm run example:trading-signals
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# New advanced endpoints
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npm run example:tokenmetrics-ai
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npm run example:sentiments
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npm run example:scenario-analysis
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npm run example:correlation
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```
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### **Method 2: Interactive Chat Interface**
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```bash
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npm run chat
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```
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**Then test these prompts in order:**
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1. **Basic AI Chat**: `"What is Bitcoin?"`
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2. **Trading Signals**: `"trading signals"`
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3. **Sentiment**: `"market sentiment"`
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4. **Price Prediction**: `"bitcoin price scenarios"`
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5. **Correlations**: `"portfolio correlations"`
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6. **Market Overview**: `"market overview"`
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### **Method 3: Automated Test Suite**
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```bash
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# Run all tests
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npm run test:all
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# Individual test suites
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npm run test:individual
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npm run test:integration
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```
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### **Method 4: Demo Scenarios**
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```bash
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# Trading bot simulation
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npm run demo:trading-bot
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# Research agent simulation
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npm run demo:research-agent
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# New endpoints showcase
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npm run demo:new-endpoints
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```
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---
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## 📊 **Expected Results for Each Endpoint**
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### **Tokens List**:
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- List of 50+ cryptocurrencies
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- TOKEN_ID, name, symbol, category
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- Used to find IDs for other calls
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### **Top Market Cap**:
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- Top 10-100 tokens by market cap
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- Current rankings and values
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- Market leaders identification
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### **Price Data**:
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- Real-time prices for specified tokens
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- Current market values
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- Price change indicators
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### **Trader/Investor Grades**:
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- AI scores (0-100)
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- Buy/sell/hold recommendations
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- Risk assessments
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### **Trading Signals**:
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- Buy/sell signals with strength
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- AI-generated recommendations
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- Signal confidence levels
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### **Sentiment Analysis**:
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- Twitter, Reddit, News sentiment
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- Sentiment scores and summaries
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- Social media insights
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### **Scenario Analysis**:
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- Multiple timeframe predictions
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- Bear/base/bull scenarios
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- ROI calculations and insights
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### **Correlations**:
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- Token relationship analysis
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- Portfolio diversification insights
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- Risk management data
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---
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## **Success Indicators**
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For each test, look for:
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-**No errors** in API calls
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-**Real-time data** with current timestamps
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-**Proper formatting** (tables, charts, colors)
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-**Correct endpoint URLs** in logs
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-**Rate limiting** working (no 429 errors)
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-**Data completeness** (all expected fields)
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---
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## 🚀 **Quick Start Testing**
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**Start here for fastest comprehensive test:**
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```bash
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# 1. Test basic functionality
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npm run example:tokens
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# 2. Test price data
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npm run example:price-data
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# 3. Test trading features
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npm run example:trading-signals
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# 4. Test new advanced features
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npm run chat
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# Then type: "trading signals"
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# Then type: "market sentiment"
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# Then type: "bitcoin price scenarios"
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```
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This will verify all core functionality is working correctly!

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