This indicator calculates the Accelerator/Decelerator Oscillator based on the difference between two Least Squares Moving Averages (LSMA) and displays it as a histogram, highlighting potential acceleration or deceleration in price momentum.

This indicator calculates the differential between fast and slow Least Squares Moving Averages to identify trend acceleration and momentum shifts via a dual-histogram visual output.

This indicator calculates the momentum difference between two weighted least squares moving averages and visualizes the directional velocity using a histogram-based signal flip.

This indicator quantifies price velocity by calculating the difference between two simple moving averages and filtering the resulting signal into distinct bullish and bearish histogram components.

This indicator calculates the spread between two moving averages and identifies directional shifts by comparing current net values against preceding periods to highlight accelerating trends.

This indicator measures the rate of change between two moving averages and filters the direction of momentum using a smoothed histogram to identify bullish and bearish velocity shifts.

This script aggregates and displays comprehensive real-time metadata regarding account permissions, financial margins, and specific instrument execution parameters via a graphical dialog.

This tool reconstructs historical trade performance to visualize equity curves, project annualized returns based on real-time growth rates, and monitor peak floating drawdown metrics.

This script captures real-time account liquidity and open position profitability, broadcasting a structured status summary via email at each new candle.

A proactive risk management system that monitors real-time margin levels, floating drawdown, and equity thresholds to automatically liquidate positions and halt trading during volatile conditions.

This indicator calculates nested volatility envelopes and multi-timeframe EMA crossovers by applying dynamic standard deviations to high/low price extremes over a 144-period cycle.

This indicator synthesizes a complex multi-layered moving average framework, utilizing Exponential and Simple averages across different price points to identify momentum corridors and trend boundaries.

This indicator quantifies the net buying and selling pressure by normalizing the relationship between closing prices and vertical price ranges, subsequently scaling the result by absolute trading volume to create a cumulative momentum flow.

This indicator calculates the moving average differential of the Cumulative Volume-Weighted Price Action to identify momentum shifts in underlying liquidity flows.

This indicator calculates a cumulative volume-weighted price distribution metric and applies dual exponential moving averages to identify trend momentum shifts.

This indicator identifies key support and resistance zones by calculating daily pivot points, range boundaries, and previous sessions' highs and lows using a customizable time window.

This indicator identifies local extrema by detecting structural V-shaped inversions in the Average Center price action.

This indicator dynamically scales stochastic period calculations based on the ratio of fast and slow ATR values, applying a quadratic multiplier to capture momentum shifts relative to market volatility.

This indicator calculates a smoothed momentum value by applying a recursive weighting factor based on the absolute deviation of the standard RSI from its midpoint.

This indicator calculates a recursive smoothing factor based on the absolute deviation of the RSI from its midpoint to generate a dampened trend line.

This code implements John Ehlers' Adaptive Center of Gravity oscillator, dynamically adjusting its calculation period based on market cycle length, providing signals via the CG line and its lagged trigger line.

This indicator utilizes an adaptive period and recursive filtering to isolate dominant market cycles from noise for enhanced trend identification.

This indicator calculates a momentum ratio by dividing the weighted sum of price changes over an adaptive look-back period by the weighted sum of high-low ranges.

This indicator synthesizes a normalized hyperbolic tangent oscillation by applying a linear weighted moving average to a cycle-adjusted Relative Strength Index.

This indicator calculates the numerical delta of an Adaptive RSI value to visualize real-time price momentum intensity and trigger auditory alerts on significant volatility shifts.

This indicator calculates the derivative of an Adaptive RSI to detect rapid momentum shifts and triggers an audible alert when price variance exceeds specific thresholds.

This indicator calculates and visualizes multi-period average daily ranges to provide precise stop-loss benchmarks based on proportional volatility contracts.

This indicator quantifies multi-period historical price action to project real-time volatility metrics and automated stop-loss thresholds based on fractional daily ranges.

This indicator calculates multi-period Average Daily Ranges and dynamically projects precise Stop Loss levels based on 50% and 75% retracement benchmarks.

This indicator calculates multi-period Average Daily Ranges and dynamically projects stop-loss levels based on percentage offsets of historical volatility.

This indicator calculates the divergence between two Simple Moving Averages based on median prices and applies a conditional smoothed transition to visualize directional momentum.

This indicator bifurcates the main ADX strength value into distinct histogram channels based on the relative dominance of the Positive and Negative Directional Indicators.

This indicator filters the Absolute Direction Index to visualize dominant market momentum by assigning the primary trend magnitude to separate visual buffers based on the crossover of Positive and Negative Directed Indicators.

The logic segregates the standard Average Directional Index into distinct visual streams based on the dominance of positive or negative directional movement relative to the main trend intensity.

This indicator filters the ADX main line into distinct directional histograms by identifying whether the Plus DI or Minus DI dominates current market strength.

This indicator visualizes market momentum strength by bifurcating the ADX main line into distinct bullish and bearish histogram components based on the directional orientation of DI+ and DI- vectors.

This indicator dynamically visualizes trend direction and momentum strength by overlaying colored candles that react to PlusDI/MinusDI crossovers filtered by a specific ADX threshold.