Identifies momentum shifts by detecting instances where current price action breaches the structural extremes of a preceding five-bar volatility window.

This indicator identifies potential reversal points by detecting instances where current price action breaches the structural highs and lows of a preceding five-bar window.

The indicator identifies potential trend reversals by detecting instances where the current price action breaks out of the historical high-low boundaries established over a five-bar lookback period.

The algorithm identifies potential trend reversals by detecting instances where the current price action breaches the historical high-low boundaries of a preceding five-bar window.

Identifies and projects horizontal support and resistance levels by dynamically calculating the extreme price peaks and troughs over a rolling five-day period.

This indicator identifies hierarchical price pivot points by overlaying five distinct ZigZag cycles of varying periods to pinpoint structural market shifts.

This indicator maps Relative Strength Index values into discrete stepped levels using two distinct dynamic thresholds to visualize structural momentum shifts.

This indicator automatically detects and projects high-order harmonic structures—including Gartley, Butterfly, Crab, Bat, AB=CD, and Wolfe Waves—by calculating Fibonacci retracement ratios and identifying structural vertices.

This indicator calculates a smoothed momentum trend by analyzing the deviation of price gradients across a lookback period and applying a triple-smoothed moving average filter.

Iterates through active trades to execute immediate market closures exclusively for the currency pair or asset currently displayed on the chart.

Iteratively traverses all active market orders to execute immediate liquidation at current bid or ask prices with automated re-quote handling.

Iterates through all active market orders to execute immediate flat positions by dynamically refreshing rates upon execution errors.

This script iterates through all active trade positions to identify and execute an immediate market exit for every sell order across all symbols.

This automated script scans active trade history to immediately execute market exits for all open positions currently yielding positive equity.

This script iterates through all open market positions to identify and immediately execute market orders to terminate any trade currently exhibiting a negative profit balance.

This indicator utilizes a recursive weighted sum of price extrema to extract the underlying trend by filtering out cyclical noise via an optimal detrending algorithm.

This indicator calculates a linear regression trend by projecting a shifted Simple Moving Average forward based on the slope between historical data points.

This indicator quantifies market pressure by calculating the net distance between current price action and extreme historical ranges, filtering the resulting bullish and bearish components through multi-stage moving average smoothing.

This indicator quantifies directional dominance by calculating the divergence between bullish and bearish price velocity or range penetration, then applying multi-layered smoothing to visualize net momentum intensity.

This indicator quantifies bullish and bearish dominance by calculating price deviations using either RSI-based velocity or Stochastic range proximity, then smoothing the resulting values into distinct histogram profiles.

This indicator quantifies market sentiment by decomposing price velocity into polarized bull and bear components using either derivative-based changes or stochastic range extremes.

This indicator quantifies market pressure by calculating the divergence between bullish and bearish price velocities, employing either RSI-based relative changes or Stochastic-style range boundaries to visualize directional dominance.

Identifies potential reversal points by detecting specific crossover patterns between smoothed oscillator trends and their respective signal lines to flag momentum deceleration.

This indicator quantifies bullish and bearish intensity by decomposing price velocity, range expansion, or volatility extremes into smoothed momentum vectors.

This indicator quantifies market bias by calculating divergent bullish and bearish intensities using RSI-based differential changes, Stochastic range positioning, or ADX-style volatility metrics.

This indicator quantifies market dominance by calculating independent bullish and bearish force vectors through either price delta analysis or stochastic range expansion, subsequently applying triple-layered moving average smoothing to isolate pure trend velocity.

This indicator identifies trend reversals by calculating the differential between dual-period moving averages and detecting momentum shifts validated by volume spikes.

This indicator identifies price momentum shifts by calculating the differential between a primary MACD histogram and its smoothed signal line to isolate directional velocity.

This indicator quantifies price acceleration by calculating the differential between multi-timeframe moving averages and applying a secondary smoothing filter to identify trend velocity shifts.

This indicator calculates the differential between primary and secondary moving averages across specific timeframes to visualize price acceleration through momentum histograms.

This indicator calculates the rate of change between dual moving averages on a higher time frame to identify trend velocity and potential exhaustion points.

This code calculates and visualizes the Accelerator/Decelerator Oscillator based on Least Squares Moving Averages (LSMA) to identify potential acceleration or deceleration in price momentum.

This indicator quantifies momentum by calculating the spread between short-term and long-term Least Squares Moving Averages and visualizing the resulting directional shifts as a dynamic histogram.

This indicator quantifies market velocity by calculating the differential between two Least Squares Moving Averages and plotting the resulting momentum shifts as a directional histogram.