Serves as the default data source for cryptocurrency price and volume data, which can be configured in environment variables when setting up the MCP server.
Required as the runtime environment for the MCP server, with version 18.x or higher needed to run the cryptocurrency analysis tools.
Used for package management, with version 8.x or higher required to install the necessary dependencies.
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.
-1 (SELL), 0 (HOLD), 1 (BUY).ccxt-supported exchange.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).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).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).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).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).Input (Natural Language Prompt):
Output:
Input (Natural Language Prompt):
Output:
This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
An MCP server providing a range of cryptocurrency technical analysis indicators and strategies.