majiayu000 Analyzing Market Sentiment
Overview
This skill provides automated assistance for the described functionality.
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
- Use Read tool to load API credentials from {baseDir}/config/crypto-apis.env
- Configure blockchain RPC endpoints for target networks
- Set up exchange API connections if required
- Verify rate limits and subscription tiers
- Test connectivity and authentication
- Use Bash(crypto:sentiment-*) to execute crypto data queries
- Fetch real-time prices, volumes, and market cap data
- Query blockchain for on-chain metrics and transactions
- Retrieve exchange order book and trade history
- Aggregate data from multiple sources for accuracy
See {baseDir}/references/implementation.md for detailed implementation guide.
Output
- 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
- Transaction count and network activity
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
- 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
- ethers.js for Ethereum smart contract interaction