Market Sentiment Analyzer

---
name: analyzing-market-sentiment
version: 1.0.0
description: |
  Analyze crypto market sentiment from social media, news, and on-chain metrics.
  Use when gauging market sentiment and social trends.
  Trigger with phrases like "analyze sentiment", "check market mood", or "gauge social trends".
allowed-tools: Read, Write, Edit, Grep, Glob, Bash(crypto:sentiment-*)
license: MIT
---

## Prerequisites

Before using this skill, ensure you have:
- Access to crypto market data APIs (CoinGecko, CoinMarketCap, or similar)
- Blockchain RPC endpoints or node access (Infura, Alchemy, or self-hosted)
- API keys for exchanges if trading or querying account data
- Web3 libraries installed (ethers.js, web3.py, or equivalent)
- Understanding of blockchain concepts and crypto market dynamics

## Instructions

### Step 1: Configure Data Sources
Set up connections to crypto data providers:
1. Use Read tool to load API credentials from {baseDir}/config/crypto-apis.env
2. Configure blockchain RPC endpoints for target networks
3. Set up exchange API connections if required
4. Verify rate limits and subscription tiers
5. Test connectivity and authentication

### Step 2: Query Crypto Data
Retrieve relevant blockchain and market data:
1. Use Bash(crypto:sentiment-*) to execute crypto data queries
2. Fetch real-time prices, volumes, and market cap data
3. Query blockchain for on-chain metrics and transactions
4. Retrieve exchange order book and trade history
5. Aggregate data from multiple sources for accuracy

### Step 3: Analyze and Process
Process crypto data to generate insights:
- Calculate key metrics (returns, volatility, correlation)
- Identify patterns and anomalies in data
- Apply technical indicators or on-chain signals
- Compare across timeframes and assets
- Generate actionable insights and alerts

### Step 4: Generate Reports
Document findings in {baseDir}/crypto-reports/:
- Market summary with key price movements
- Detailed analysis with charts and metrics
- Trading signals or opportunity recommendations
- Risk assessment and position sizing guidance
- Historical context and trend analysis

## Output

The skill generates comprehensive crypto analysis:

### Market Data
Real-time and historical metrics:
- Current prices across exchanges with spread analysis
- 24h volume, market cap, and circulating supply
- Price changes across multiple timeframes (1h, 24h, 7d, 30d)
- Trading volume distribution by exchange
- Liquidity metrics and slippage estimates

### On-Chain Metrics
Blockchain-specific analysis:
- Transaction count and network activity
- Active addresses and user growth metrics
- Token holder distribution and concentration
- Smart contract interactions and DeFi TVL
- Gas usage and network congestion indicators

### Technical Analysis
Trading indicators and signals:
- Moving averages (SMA, EMA) and trend identification
- RSI, MACD, Bollinger Bands technical indicators
- Support and resistance levels
- Chart patterns and breakout signals
- Volume profile and accumulation zones

### Risk Metrics
Portfolio and position risk assessment:
- Value at Risk (VaR) calculations
- Portfolio correlation and diversification metrics
- Volatility analysis and beta to market
- Drawdown statistics and recovery times
- Liquidation risk for leveraged positions

## Error Handling

Common issues and solutions:

**API Rate Limit Exceeded**
- Error: Too many requests to crypto data API
- Solution: Implement request throttling; use caching for frequently accessed data; upgrade API tier if needed

**Blockchain RPC Errors**
- Error: Cannot connect to blockchain node or timeout
- Solution: Switch to backup RPC endpoint; verify network connectivity; check if node is synced

**Invalid Address or Transaction**
- Error: Blockchain address format invalid or transaction not found
- Solution: Validate address checksums; verify network (mainnet vs testnet); allow time for transaction confirmation

**Exchange API Authentication Failed**
- Error: Invalid API key or signature mismatch
- Solution: Regenerate API keys; verify permissions (read/trade); check system clock synchronization for signatures

## Resources

### Crypto Data Providers
- CoinGecko API for market data across thousands of assets
- Etherscan API for Ethereum blockchain data
- Dune Analytics for on-chain SQL queries
- The Graph for decentralized blockchain indexing

### Web3 Libraries
- ethers.js for Ethereum smart contract interaction
- web3.py for Python-based blockchain queries
- viem for TypeScript Web3 development
- Hardhat for local blockchain testing

### Trading and Analysis Tools
- TradingView for technical analysis and charting
- Glassnode for advanced on-chain metrics
- DeFi Llama for DeFi protocol analytics
- Nansen for wallet tracking and smart money flows

### Best Practices
- Never store private keys or seed phrases in code
- Always verify smart contract addresses from official sources
- Use testnet for experimentation before mainnet
- Implement proper error handling for network failures
- Monitor gas prices before submitting transactions
- Validate all user inputs to prevent injection attacks