
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

kukapay/crypto-indicators-mcp
An MCP server providing a range of cryptocurrency technical analysis indicators and strategies, empowering AI trading agents to efficiently analyze market trends and develop robust quantitative strategies.
{
"mcpServers": {
"crypto-indicators-mcp": {
"command": "node",
"args": [
"<value>"
],
"env": {
"EXCHANGE_NAME": "<EXCHANGE_NAME>"
}
}
}
}EXCHANGE_NAMETechnical Indicators: 50+ indicators across trend, momentum, volatility, and volume categories.
Trading Strategies: Corresponding strategies outputting signals: -1 (SELL), 0 (HOLD), 1 (BUY).
Flexible Data Source: Defaults to Binance, configurable to any ccxt-supported exchange.
Modular Design: Indicators and strategies are categorized for easy maintenance.
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).
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).
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).
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

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