calculate_bollinger_bands
Encloses price action with volatility-based bands (BB).
How to use it
calculate_bollinger_bands is exposed by the Crypto Indicators MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the calculate_bollinger_bands tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
FULL CRYPTO INDICATORS MCP LISTINGOther tools in Crypto Indicators MCP (39)
Measures the difference between two EMAs to identify trend strength (APO).
Frames price action with dynamic volatility bands (AB).
Identifies trend changes and strength using high/low price extremes (Aroon).
Measures market volatility based on price ranges (ATR).
Measures market momentum using midline crossovers (AO).
Gauges buying vs. selling pressure based on price movement (BOP).
Quantifies volatility via band width changes (BBW).
Tracks accumulation/distribution momentum (CMO).
Predicts future price movements relative to past trends (CFO).
Sets trailing stop-losses based on volatility (CE).
Detects overbought/oversold conditions and trend reversals (CCI).
Tracks volatility with high/low price channels (DC).
Smooths price data with reduced lag for trend detection (DEMA).
Weights recent prices more heavily for trend analysis (EMA).
Provides a comprehensive view of support, resistance, and momentum (Ichimoku).
Combines stochastic and momentum signals for trend analysis (KDJ).
Combines ATR and EMA for volatility bands (KC).
Identifies potential reversals by measuring range expansion (MI).
Tracks momentum and trend direction via EMA differences (MACD).
Computes the maximum price over a rolling period (MMAX).
Computes the minimum price over a rolling period (MMIN).
Calculates the sum of prices over a rolling period (MSUM).
Provides stop-and-reverse points for trend following (PSAR).
Normalizes MACD as a percentage for momentum (PPO).
Measures volume momentum via EMA differences (PVO).
Tracks price momentum as a percentage change (ROC).
Measures buying/selling pressure based on open-close differences (Qstick).
Identifies overbought/oversold conditions via momentum (RSI).
Applies a rolling EMA for smoother trend tracking (RMA).
Averages prices over a period to identify trends (SMA).
Tracks the time since the last significant price change.
Compares closing prices to ranges for momentum signals (STOCH).
Weights middle prices more for smoother trends (TRIMA).
Measures momentum with triple smoothing (TRIX).
Reduces lag further than DEMA for trend clarity (TEMA).
Averages high, low, and close prices for a balanced trend view.
Incorporates volume into moving averages for trend strength (VWMA).
Identifies trend direction and strength using true range (Vortex).
Measures momentum relative to recent high-low ranges (Williams %R).