This indicator calculates a smoothed momentum ratio by evaluating the distance between current price and the median range, then applying nested exponential moving averages to filter noise.

This indicator calculates a momentum oscillator by applying nested exponential moving averages to the ratio of smoothed price deviations relative to historical high-low ranges.

This indicator normalizes price range volatility into a bounded distribution using the Fisher Transform and applies an exponential moving average to smooth out momentum fluctuations.

This indicator applies a non-linear Fisher Transformation to price action normalized within a high-low range, followed by an exponential moving average to identify momentum shifts and zero-line crossovers.

This indicator normalizes price action into a bounded range before applying a logarithmic Fisher Transformation and an Exponential Moving Average to identify zero-line momentum crossovers.

This indicator applies a Fisher Transformation to price range dynamics, followed by an exponential moving average to smooth out directional volatility into a binary histogram.

This indicator quantifies the monotonic relationship between price movements by calculating the Spearman rank correlation coefficient across a rolling window to identify trend strength independent of volatility.

This indicator identifies trend reversals by calculating the exponential moving average of the delta between two distinct RSI periods to detect significant momentum shifts.

This indicator identifies trend reversals by calculating a smoothed moving average of the delta between two different RSI periods and generating directional signals based on significant threshold breaches.

This indicator quantifies the non-linear monotonic relationship between price movements by calculating the rank correlation coefficient across a sliding window.

This indicator calculates the volatility variance between dual Source Moving Average (SRCma) inputs and applies an SMA smoothing filter to identify directional momentum shifts via histogram displacement.

This indicator identifies trend reversals by calculating the smoothed differential between two Source Moving Average (SRCma) values and detecting zero-line crossovers of their residual momentum.

The logic identifies momentum shifts by calculating the relative position of closing prices within high-low ranges and triggers alerts upon crossing specific 30 and 70 intensity boundaries.

This algorithm calculates a percentage-based momentum value by comparing the relative position of recent closing prices within a defined high-low price range.

Calculates the relative position of current prices within a defined price range to identify overbought and oversold momentum shifts.

Calculates a smoothed percentage of price position within a rolling peak-to-trough window to identify overbought and oversold momentum shifts.

This indicator calculates a smoothed percentage of relative strength by deriving high and low boundaries from internal RSI values over a rolling period.

This indicator calculates a relative percentage of current closing prices relative to the highest highs and lowest lows over a defined lookback window.

This indicator calculates the relative position of current closing prices within a defined range of price extremes to identify overbought and oversold market conditions.

This indicator calculates a standard stochastic oscillator and monitors price intersections with four customizable threshold levels to trigger real-time auditory and visual notifications.

This indicator identifies overextended price cycles by calculating the relative position of current closing prices against high-low ranges, triggering alerts on bullish and bearish crossovers within extreme zones.

This indicator synthesizes Relative Strength Index values into a normalized stochastic range, further smoothed by a linear weighted moving average to identify cyclical price exhaustion.

This technical indicator calculates the relative position of current closing prices within a high-low range to determine overbought or oversold momentum levels.

This indicator calculates a smoothed momentum oscillator while intentionally excluding the volatile real-time price action of the current forming candle to provide cleaner, confirmed signals.

The algorithm quantifies relative price position by calculating the percentage proximity of current closes to previous high-low extremes over a smoothed moving average.

This indicator calculates the relative position of price using a standard stochastic formula while overlaying a dynamic color-shaded background that highlights momentum crossovers between the main and signal lines.

This indicator synthesizes Williams %R and Stochastic oscillators into a unified superposition, applying multi-layered linear weighted moving averages to identify trend momentum and structural divergence.

This indicator calculates a classic stochastic oscillator and triggers immediate audio alerts or email notifications upon detecting bullish or bearish signal line crossovers.

This indicator monitors Stochastic oscillator crossovers to trigger instantaneous audio notifications and automated email alerts for trend reversals.

This indicator calculates a standard Stochastic Oscillator and applies an additional Moving Average layer to filter noise and identify underlying momentum trends.

This indicator applies a Jurik Moving Average (JMA) smoothing algorithm to the Stochastic Oscillator to reduce noise and identify high-probability momentum shifts.

The logic identifies the average proximity of price action to the opening value by calculating the minimum distance between highs and lows relative to each candle's open.

The indicator calculates a weighted sum of logarithmic price returns across EURUSD, GBPUSD, USDJPY, and AUDUSD to synthesize a unified currency strength momentum signal.

This indicator identifies market direction by calculating a trailing stop level based on the weighted average of price volatility and multiple moving average types.

Calculates a composite currency strength value by aggregating geometric means of specific forex pairs to derive an underlying relative price index.

This indicator calculates the price velocity of three distinct currency pairs and smooths their individual rate changes using a linear weighted moving average to identify synchronized market momentum.

This indicator identifies key market structure levels by calculating the mean of high, low, and close prices against a smoothed moving average to pinpoint dynamic support and resistance zones.

This indicator utilizes RSI price data combined with Bollinger Band-style volatility envelopes and SMA crossovers to identify trend momentum and potential reversal zones.

This indicator calculates the difference between smoothed absolute momentum sums and multi-period moving averages to isolate directional price velocity.

This indicator calculates a smoothed directional trend by measuring the delta between absolute momentum sums and their multi-period averages to identify price velocity shifts.

This indicator calculates a trend direction index by analyzing the variance between smoothed momentum values and their absolute averages over a specified lookback period.

This indicator calculates a directional trend index by contrasting the smoothed absolute sum of price momentum against its weighted cumulative variance.