# 进入 crypto_mcp 目录
cd crypto_mcp

# 安装 Python 依赖
pip install -r requirements.txt

# 运行测试脚本
python test_crypto_indicators.py

# 启动 MCP 服务器
python crypto_indicators_mcp.py

# 运行客户端示例
python crypto_indicators_client_example.py

{
  "mcpServers": {
    "crypto-indicators": {
      "command": "python3",
      "args": ["/path/to/nofx/backend/crypto_mcp/crypto_indicators_mcp.py"]
    }
  }
}

请使用 get_crypto_indicators 工具获取 BTC 的 1小时 技术指标

# 安装 MCP Inspector
npx @modelcontextprotocol/inspector python3 crypto_indicators_mcp.py

{
  "symbol": "BTCUSDT",
  "timeframe": "1h",
  "current_price": 43250.50,
  "price_change_1h": 0.85,
  "price_change_4h": 2.15,
  "current_ema20": 43100.20,
  "current_ema60": 42900.10,
  "current_macd_hist": 45.23,
  "current_rsi7": 65.2,
  "current_rsi14": 58.3,
  "current_atr14": 250.85,
  "open_interest": {
    "latest": 1234567.89,
    "average": 1234567.89
  },
  "funding_rate": 0.0001,
  "intraday_series": {
    "mid_prices": [43100, 43150, 43200, ...],
    "ema20_values": [43050, 43080, 43100, ...],
    "macd_hist": [40.5, 42.0, 45.2, ...],
    "rsi7_values": [62.5, 64.0, 65.2, ...],
    ...
  },
  "timestamp": "2025-01-17T10:30:00Z"
}

@dataclass
class MarketData:
    symbol: str                    # 交易对代码
    timeframe: str                 # 时间周期
    current_price: float           # 当前价格
    price_change_1h: float         # 1小时价格变化百分比
    price_change_4h: float         # 4小时价格变化百分比
    current_ema20: float           # 当前EMA20
    current_ema60: float           # 当前EMA60
    current_macd_hist: float       # 当前MACD柱（HIST = DIF - DEA）
    current_rsi7: float            # 当前RSI(7)
    current_rsi14: float           # 当前RSI(14)
    current_atr14: float           # 当前ATR(14)
    open_interest: Optional[OIData]  # 持仓量数据
    funding_rate: float            # 资金费率
    intraday_series: IntradaySeriesData  # 日内序列数据
    timestamp: str                 # 时间戳

@dataclass
class IntradaySeriesData:
    mid_prices: List[float]        # 收盘价序列（最近10个）
    volume_values: List[float]     # 成交量序列
    ema20_values: List[float]      # EMA20序列
    ema60_values: List[float]      # EMA60序列
    macd_dif: List[float]          # MACD DIF序列
    macd_dea: List[float]          # MACD DEA序列
    macd_hist: List[float]         # MACD HIST序列
    rsi7_values: List[float]       # RSI7序列
    rsi14_values: List[float]      # RSI14序列
    atr14_values: List[float]      # ATR14序列
    bb_upper: List[float]          # 布林带上轨
    bb_middle: List[float]         # 布林带中轨
    bb_lower: List[float]          # 布林带下轨

@dataclass
class OIData:
    latest: float    # 最新持仓量
    average: float   # 平均持仓量

from crypto_indicators_mcp import CryptoDataProvider

provider = CryptoDataProvider()
data = provider.get_market_data("BTC", "1h", 500)

print(f"当前价格: ${data.current_price}")
print(f"EMA20: ${data.current_ema20}")
print(f"RSI7: {data.current_rsi7}")
print(f"资金费率: {data.funding_rate}")

symbols = ["BTC", "ETH", "SOL"]
timeframes = ["1d", "4h", "1h", "15m"]

for symbol in symbols:
    for tf in timeframes:
        data = provider.get_market_data(symbol, tf)
        print(f"{symbol} ({tf}): 价格=${data.current_price}, RSI7={data.current_rsi7}")

altcoins = ["SOL", "AVAX", "MATIC", "ARB", "OP"]

for coin in altcoins:
    data = provider.get_market_data(coin, "15m", limit=200)
    if data:
        print(f"{coin}: ${data.current_price:.4f}")
        print(f"  RSI(7): {data.current_rsi7:.2f}")
        print(f"  MACD柱: {data.current_macd_hist:.3f}")
        print(f"  1h变化: {data.price_change_1h:.2f}%")

# macOS
brew install ta-lib

# Ubuntu/Debian
sudo apt-get install ta-lib

# 然后安装 Python 包
pip install TA-Lib

# 获取更多K线数据
data = provider.get_market_data("BTC", "1h", limit=2000)