Crypto Indicators MCP Server

加密货币指标 MCP 服务

一个提供多种加密货币技术分析指标和策略的 MCP 服务，帮助 AI 交易 Agent 高效分析市场趋势并制定稳健的量化策略。

如需了解更多加密货币相关的 MCP 服务，请参阅 Kukapay MCP servers。

功能

• 技术指标：涵盖趋势、动量、波动率和成交量类别的 50 多种指标。
• 交易策略：相应策略会输出信号：-1（卖出）、0（持有）、1（买入）。
• 灵活的数据源：默认使用 Binance，可配置为任何受 ccxt 支持的交易所。
• 模块化设计：指标和策略按类别划分，便于维护。

安装

先决条件

• Node.js（v18.x 或更高版本）
• npm（v8.x 或更高版本）

步骤

1. 克隆仓库：

   git clone https://github.com/kukapay/crypto-indicators-mcp.git
   cd crypto-indicators-mcp
   

2. 安装依赖项：

   npm install
   

3. 配置 MCP 客户端： 要将此服务与 Claude Desktop 等 MCP 客户端配合使用，请将以下内容添加到配置文件中（或相应的配置文件）：

    {
      "mcpServers": {
        "crypto-indicators-mcp": {
          "command": "node",
          "args": ["path/to/crypto-indicators-mcp/index.js"],
          "env": {
            "EXCHANGE_NAME": "binance"
          }
        }
      }
    }   
   

Available Tools

Trend Indicators

• calculate_absolute_price_oscillator: Measures the difference between two EMAs to identify trend strength (APO).
• calculate_aroon: Identifies trend changes and strength using high/low price extremes (Aroon).
• calculate_balance_of_power: Gauges buying vs. selling pressure based on price movement (BOP).
• calculate_chande_forecast_oscillator: Predicts future price movements relative to past trends (CFO).
• calculate_commodity_channel_index: Detects overbought/oversold conditions and trend reversals (CCI).
• calculate_double_exponential_moving_average: Smooths price data with reduced lag for trend detection (DEMA).
• calculate_exponential_moving_average: Weights recent prices more heavily for trend analysis (EMA).
• calculate_mass_index: Identifies potential reversals by measuring range expansion (MI).
• calculate_moving_average_convergence_divergence: Tracks momentum and trend direction via EMA differences (MACD).
• calculate_moving_max: Computes the maximum price over a rolling period (MMAX).
• calculate_moving_min: Computes the minimum price over a rolling period (MMIN).
• calculate_moving_sum: Calculates the sum of prices over a rolling period (MSUM).
• calculate_parabolic_sar: Provides stop-and-reverse points for trend following (PSAR).
• calculate_qstick: Measures buying/selling pressure based on open-close differences (Qstick).
• calculate_kdj: Combines stochastic and momentum signals for trend analysis (KDJ).
• calculate_rolling_moving_average: Applies a rolling EMA for smoother trend tracking (RMA).
• calculate_simple_moving_average: Averages prices over a period to identify trends (SMA).
• calculate_since_change: Tracks the time since the last significant price change.
• calculate_triple_exponential_moving_average: Reduces lag further than DEMA for trend clarity (TEMA).
• calculate_triangular_moving_average: Weights middle prices more for smoother trends (TRIMA).
• calculate_triple_exponential_average: Measures momentum with triple smoothing (TRIX).
• calculate_typical_price: Averages high, low, and close prices for a balanced trend view.
• calculate_volume_weighted_moving_average: Incorporates volume into moving averages for trend strength (VWMA).
• calculate_vortex: Identifies trend direction and strength using true range (Vortex).

Momentum Indicators

• calculate_awesome_oscillator: Measures market momentum using midline crossovers (AO).
• calculate_chaikin_oscillator: Tracks accumulation/distribution momentum (CMO).
• calculate_ichimoku_cloud: Provides a comprehensive view of support, resistance, and momentum (Ichimoku).
• calculate_percentage_price_oscillator: Normalizes MACD as a percentage for momentum (PPO).
• calculate_percentage_volume_oscillator: Measures volume momentum via EMA differences (PVO).
• calculate_price_rate_of_change: Tracks price momentum as a percentage change (ROC).
• calculate_relative_strength_index: Identifies overbought/oversold conditions via momentum (RSI).
• calculate_stochastic_oscillator: Compares closing prices to ranges for momentum signals (STOCH).
• calculate_williams_r: Measures momentum relative to recent high-low ranges (Williams %R).

Volatility Indicators

• calculate_acceleration_bands: Frames price action with dynamic volatility bands (AB).
• calculate_average_true_range: Measures market volatility based on price ranges (ATR).
• calculate_bollinger_bands: Encloses price action with volatility-based bands (BB).
• calculate_bollinger_bands_width: Quantifies volatility via band width changes (BBW).
• calculate_chandelier_exit: Sets trailing stop-losses based on volatility (CE).
• calculate_donchian_channel: Tracks volatility with high/low price channels (DC).
• calculate_keltner_channel: Combines ATR and EMA for volatility bands (KC).
• calculate_moving_standard_deviation: Measures price deviation for volatility (MSTD).
• calculate_projection_oscillator: Assesses volatility relative to projected prices (PO).
• calculate_true_range: Calculates daily price range for volatility analysis (TR).
• calculate_ulcer_index: Quantifies downside volatility and drawdowns (UI).

Volume Indicators

• calculate_accumulation_distribution: Tracks volume flow to confirm price trends (AD).
• calculate_chaikin_money_flow: Measures buying/selling pressure with volume (CMF).
• calculate_ease_of_movement: Assesses how easily prices move with volume (EMV).
• calculate_force_index: Combines price and volume for momentum strength (FI).
• calculate_money_flow_index: Identifies overbought/oversold via price-volume (MFI).
• calculate_negative_volume_index: Tracks price changes on lower volume days (NVI).
• calculate_on_balance_volume: Accumulates volume to predict price movements (OBV).
• calculate_volume_price_trend: Combines volume and price for trend confirmation (VPT).
• calculate_volume_weighted_average_price: Averages prices weighted by volume (VWAP).

Trend Strategies

• calculate_absolute_price_oscillator_strategy: Generates buy/sell signals from APO crossovers (APO Strategy).
• calculate_aroon_strategy: Signals trend reversals using Aroon crossovers (Aroon Strategy).
• calculate_balance_of_power_strategy: Issues signals based on BOP thresholds (BOP Strategy).
• calculate_chande_forecast_oscillator_strategy: Predicts reversals with CFO signals (CFO Strategy).
• calculate_kdj_strategy: Combines KDJ lines for trend-based signals (KDJ Strategy).
• calculate_macd_strategy: Uses MACD crossovers for trading signals (MACD Strategy).
• calculate_parabolic_sar_strategy: Signals trend direction with PSAR shifts (PSAR Strategy).
• calculate_typical_price_strategy: Generates signals from typical price trends.
• calculate_volume_weighted_moving_average_strategy: Issues signals based on VWMA crossovers (VWMA Strategy).
• calculate_vortex_strategy: Signals trend direction with Vortex crossovers (Vortex Strategy).

Momentum Strategies

• calculate_momentum_strategy: Issues signals based on momentum direction.
• calculate_awesome_oscillator_strategy: Signals momentum shifts with AO crossovers (AO Strategy).
• calculate_ichimoku_cloud_strategy: Generates signals from Ichimoku cloud positions (Ichimoku Strategy).
• calculate_rsi2_strategy: Signals overbought/oversold with RSI thresholds (RSI Strategy).
• calculate_stochastic_oscillator_strategy: Uses stochastic crossovers for signals (STOCH Strategy).
• calculate_williams_r_strategy: Signals momentum reversals with Williams %R (Williams %R Strategy).

Volatility Strategies

• calculate_acceleration_bands_strategy: Signals breakouts with acceleration bands (AB Strategy).
• calculate_bollinger_bands_strategy: Issues signals from Bollinger Band breaches (BB Strategy).
• calculate_projection_oscillator_strategy: Signals volatility shifts with PO (PO Strategy).

Volume Strategies

• calculate_chaikin_money_flow_strategy: Signals volume pressure with CMF (CMF Strategy).
• calculate_ease_of_movement_strategy: Issues signals based on EMV trends (EMV Strategy).
• calculate_force_index_strategy: Signals momentum with force index shifts (FI Strategy).
• calculate_money_flow_index_strategy: Signals overbought/oversold with MFI (MFI Strategy).
• calculate_negative_volume_index_strategy: Signals trends with NVI changes (NVI Strategy).
• calculate_volume_weighted_average_price_strategy: Issues signals from VWAP crossovers (VWAP Strategy).

Usage Examples

Example 1: Calculate MACD Indicator

Input (Natural Language Prompt):

计算 BTC/USDT 在 1 小时时间周期上的 MACD，快速周期为 12，慢速周期为 26，信号周期为 9，并获取 100 个数据点。

Output:

{"macd": [...], "signal": [...], "histogram": [...]}

Example 2: Calculate RSI Strategy

Input (Natural Language Prompt):

给出 ETH/USDT 在 4 小时时间周期上的 RSI 策略信号，周期为 14，数据点数为 50。

Output:

[-1, 0, 1, 0, ...]

License

This project is licensed under the MIT License - see the LICENSE file for details.