Crypto Indicators
Summary
Crypto Indicators MCP Server provides AI trading agents with access to over 50 technical analysis indicators and trading strategies for cryptocurrency markets. Built on the Model Context Protocol, it fetches real-time OHLCV data from Binance (configurable to any CCXT-supported exchange) and calculates trend, momentum, volatility, and volume indicators. Each tool returns either raw indicator values or actionable trading signals (-1 for sell, 0 for hold, 1 for buy), enabling AI agents to analyze market conditions and develop quantitative trading strategies without implementing complex technical analysis algorithms themselves.
Available Actions(59)
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).
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).
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).
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).
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