技能 数据科学 加密货币价格追踪与历史数据查询

加密货币价格追踪与历史数据查询

v20260423
tracking-crypto-prices
这是一个专业的加密货币市场监控工具,提供超过一万种币种的实时价格、24小时涨跌幅和深度历史数据。用户可以查询单个币种、查看预设的投资组合列表(如Top 10、DeFi),并以CSV或JSON格式导出详细的K线图数据,是构建加密资产分析和投资决策的基础数据层。
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概览

Tracking Crypto Prices

Contents

Overview | Prerequisites | Instructions | Output | Error Handling | Examples | Resources

Overview

Foundation skill providing real-time and historical cryptocurrency price data for 10,000+ coins. This is the data layer for the crypto plugin ecosystem -- 10+ other skills depend on it for price information.

Prerequisites

  1. Install dependencies: pip install requests pandas yfinance
  2. Optional: pip install python-dotenv for API key management
  3. Optional: Get free API key from https://www.coingecko.com/en/api for higher rate limits
  4. Add API key to ${CLAUDE_SKILL_DIR}/config/settings.yaml or set COINGECKO_API_KEY env var

Instructions

  1. Check current prices for one or more symbols:
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbols BTC,ETH,SOL
    
  2. Use watchlists to scan predefined groups (available: top10, defi, layer2, stablecoins, memecoins):
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10     # Top 10 by market cap
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist defi      # DeFi tokens
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist layer2    # Layer 2 tokens
    
  3. Fetch historical data by period or custom date range:
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 30d
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 90d --output csv
    python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol ETH --start 2024-01-01 --end 2024-12-31  # 2024 full year
    
  4. Configure settings by editing ${CLAUDE_SKILL_DIR}/config/settings.yaml to customize cache TTLs, default currency, and custom watchlists. See references/implementation.md for the full configuration reference.

Output

  • Table (default): Symbol, price, 24h change, volume, market cap in formatted columns
  • JSON (--format json): Machine-readable with prices array and metadata
  • CSV (--output csv): OHLCV historical data export to ${CLAUDE_SKILL_DIR}/data/

See ${CLAUDE_SKILL_DIR}/references/implementation.md for detailed output format examples.

Error Handling

Error Cause Solution
Unknown symbol: XYZ Invalid ticker Check spelling, use --list to search
Rate limit exceeded Too many API calls Wait 60s, or add API key for higher limits
Network error No internet Check connection; cached data used automatically
Cache stale Data older than TTL Shown with warning, refreshes on next call

The skill auto-manages rate limits: cache first, exponential backoff, yfinance fallback, stale cache as last resort.

Examples

Quick price check:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC
# Output: BTC (Bitcoin) $97,234.56 USD +2.34% (24h) | Vol: $28.5B | MCap: $1.92T

Watchlist scan:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --watchlist top10

Historical export:

python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol ETH --period 90d --output csv
# Creates: ${CLAUDE_SKILL_DIR}/data/ETH_90d_[date].csv

Resources

  • ${CLAUDE_SKILL_DIR}/references/implementation.md - Output formats, full config, integration guide, file map
  • CoinGecko API - Primary data source
  • yfinance - Fallback for historical data
信息
Category 数据科学
Name tracking-crypto-prices
版本 v20260423
大小 40.81KB
更新时间 2026-07-14
语言