This indicator identifies 'Gimmee Bar' patterns based on price touching Bollinger Bands and closing in the opposite direction, marking potential entry points and triggering alerts on new bar formations when configured.

This indicator quantifies market trend intensity by calculating the differential between Standard Deviation and Average True Range, filtered through price action sensitivity and moving average directionality.

This indicator identifies market compression by measuring the ratio between Bollinger Band width and Keltner Channel range, overlaid with a Commodity Channel Index (CCI) momentum histogram.

This indicator utilizes a Gauss elimination matrix to perform high-order polynomial regression, mapping the underlying price curve and calculating dynamic variance bands for structural trend analysis.

This indicator identifies bullish and bearish patterns by detecting inverse price-to-oscillator extremums across multiple technical metrics.

This indicator utilizes a Gauss elimination matrix to solve for polynomial coefficients, projecting price trends and calculating multi-layered standard deviation envelopes based on regression variance.

This indicator calculates a dynamic non-linear price path using polynomial regression coefficients and generates multi-layered volatility bands based on weighted standard deviation.

This indicator identifies high-intensity market movements by calculating the ratio between short-term and long-term Average True Ranges while filtering for signal-to-noise thresholds.

This indicator identifies and classifies complex price-momentum discrepancies by synchronizing market extremums with multiple technical oscillators, including William %R, RSI, MACD, and custom inputs.

The logic identifies market regimes by comparing current Average True Range (ATR) against the Exponential Moving Average of Standard Deviation to distinguish between consolidation and momentum.

This indicator calculates a normalized percentage based on the standard deviation of price movements relative to local high and low volatility extremes.

Identifies trend reversals by synchronizing smoothed moving average crossovers with Parabolic SAR filters and expanding Bollinger Band volatility thresholds.

This indicator identifies high-probability reversal points by synchronizing Parabolic SAR trend breaks with expanding Bollinger Band dynamics and smoothed moving average deviations.

This indicator calculates synthetic currency strength indices using geometric means of standard deviations and moving averages across multiple forex pairs, subsequently applying a smoothed RSI filter to identify momentum.