This indicator synthesizes directional movement indices with smoothed standard deviation analysis to quantify trend strength and price dispersion simultaneously.

This indicator quantifies relative volatility dynamics by calculating the ratio between fast and slow Average True Range values, supplemented by a secondary standard deviation variance analysis.

This indicator calculates the divergence between fast and slow exponential moving averages and overlays Bollinger Bands to identify trend exhaustion and momentum shifts.

This indicator overlays a Bollinger Band envelope onto a MACD calculation to identify volatility-adjusted trend shifts and momentum extremes.

This indicator overlays Bollinger Bands onto a MACD calculation to identify trend reversals and price momentum exhaustion through standard deviation variance.

This indicator synthesizes MACD momentum with Bollinger Band volatility bounds to visualize directional shifts and price-action extremes.

This indicator calculates a MACD signal and applies Bollinger Band envelopes to the momentum values to identify trend exhaustion and volatility extremes.

This indicator identifies trend shifts by applying Bollinger Band volatility filters to the differential momentum of Exponential Moving Averages.

This indicator overlays Bollinger Bands onto a MACD calculation to identify momentum shifts and volatility-adjusted trend reversals.

This indicator overlays a Bollinger Band volatility envelope onto the MACD momentum oscillator to identify extreme price velocity and trend exhaustion points.

This indicator synthesizes an Oscillator-based Moving Average with a dynamic volatility envelope to identify trend momentum and structural reversals.

The script evaluates multiple mathematical models—linear, quadratic, logarithmic, and exponential—to automatically identify the curve with the lowest standard deviation and project its trend with confidence bands.

Calculates the variance between current price action and moving average benchmarks while establishing volatility-based extreme zones to identify momentum exhaustion.

This indicator calculates Relative Strength Index levels that dynamically expand and contract based on smoothed price deviation or standard deviation metrics.

This indicator calculates relative strength by generating adaptive overbought and oversold thresholds based on moving average smoothing or standard deviation of price oscillations.

This indicator calculates price deviation by applying a standardized sigma-based normalization to a modified three-point average of high, low, and closing prices.

This indicator quantifies price action symmetry by normalizing high-low spreads against ATR and applying multi-stage smoothing to identify momentum shifts and volatility extremes.

This indicator identifies trend reversals by calculating a relative high-low variance normalized by volatility and filtering momentum shifts through moving average deviations.

This indicator quantifies the price discrepancy between a primary and secondary asset by normalizing their relative ranges and identifying statistically significant deviations using standard deviation thresholds.

This indicator calculates a synthetic price deviation by summing the difference between closing prices and moving averages of high and low extremes, then overlaying a Bollinger Band envelope on the resulting signal.