This indicator normalizes price action into a relative value space by calculating the deviation of open, high, low, and close prices from the Market Value Added (MVA) and scaling them against the Average True Range.

This indicator utilizes a modified Arnaud Legoux Moving Average that incorporates a dynamic noise filtering mechanism and power scaling to identify trend reversals via price deviation.

The algorithm quantifies market velocity by calculating the rate of change between ZigZag pivot points, integrated with average volume and displacement metrics to identify trend intensity.

This indicator calculates the first and second-order derivatives of price velocity to visualize accelerated directional momentum through a dual-smoothed recursive feedback loop.

Automates the plotting of multiple customizable vertical time boundaries across a specified historical range to highlight recurring daily session transitions.

This indicator utilizes the Hodrick-Prescott filter to decompose price action into trend and cyclical components, generating a volatility-based channel using standard deviation across multiple smoothed timeframes.

This indicator calculates three distinct smoothed moving averages based on price extremes and the median, utilizing a Chande Momentum Oscillator (CMO) logic to weigh volatility dynamics.

This indicator maps fixed percentage-based price thresholds above and below the current bid to visualize volatility boundaries.

The algorithm calculates a price-action buffer based on smoothed Average True Range to establish an adaptive trailing stop level that reacts to price fluctuations and volatility shifts.

This indicator dynamically constructs a price corridor by calculating volatility steps based on an external base volatility feed, applying step-wise logic to lock prices until significant movements occur.

Identifies significant trend shifts by detecting specific sequences of expanding bar range dynamics paired with corresponding tick volume fluctuations.

This indicator calculates the relative strength of upward versus downward price movement by normalizing the sum of positive and negative movements against the cumulative True Range.

This indicator quantifies price action strength by calculating the differential between upward and downward movement vectors normalized by the cumulative true range.

This script calculates optimized position sizes by cross-referencing current account balance against margin requirements and predefined risk thresholds to ensure balanced exposure.

The indicator visualizes daily high and low price boundaries by projecting historical geometric trends from specific hourly pivot points onto the current chart.

This indicator calculates and overlays three distinct moving averages with period scales dynamically adjusted based on the current chart timeframe to maintain structural consistency.

This indicator scans nine concurrent timeframes to identify and alert on bullish and bearish engulfing price action patterns as they materialize.

This indicator identifies directional shifts by bifurcating a standard moving average into two distinct trend lines based on local price trajectory reversals.

This indicator identifies market microstructure dynamics by correlating price spread volatility, closing proximity, and relative volume to detect institutional supply-demand imbalances.

This indicator quantifies market sentiment by calculating the net difference between bullish and bearish volume flows, conditioned by moving average crossovers and ATR volatility expansions.

This indicator projects a comprehensive structural grid by synthesizing high-frequency price levels with Fibonacci retracements, Pivot Points, Camarilla breakdowns, and RSI-derived zones to identify significant market turning points.

This indicator dynamically retrieves and renders real-time brokerage credentials, leverage details, and floating margin statistics directly onto the trading chart interface.

This indicator renders customizable metadata including the current asset pair, active timeframe, and user-defined annotations onto the visual background of the trading chart.

This script anchors a series of customizable alphanumeric labels at specific horizontal intervals from a user-defined drop coordinate to visualize market structural progressions.

The algorithm identifies trend polarity by comparing price action against High/Low SMA bounds and projects subsequent value projections based on EMA-calculated distance variances.

This indicator identifies market structures by calculating linear regression slopes and using standard deviation filters to project dynamic wedge boundaries.

This indicator identifies trend shifts by calculating the intersection of two linearly weighted moving averages with specific price-action offsets to trigger directional alerts.

This indicator identifies market regime shifts by calculating Bollinger Band width relative to historical extremes to detect squeeze zones and transitional volatility.

This indicator overlays real-time spread differentials onto candle data to reveal actual price extremes beyond standard high and low values.

This indicator aggregates directional signals from AO, AC, and MACD into a movable on-screen panel to identify synchronized trend momentum.

This indicator synchronizes directional signals from AO, AC, and MACD into a unified visual panel to identify multi-oscillator trend alignment.

This indicator identifies bullish and bearish momentum shifts through short-term moving average crossovers relative to a long-term trend, while simultaneously generating counter-trend exit signals using a medium-term median threshold.

This indicator identifies multi-point price structural patterns by isolating local extrema via a zigzag algorithm and validating specific sequential highs and lows to signal directional reversals.

This indicator identifies Wide Range Bars (WRB) based on relative volatility and maps out Hidden Gaps (HG) by detecting price imbalances between overlapping candles.

This indicator segments historical price data into distinct statistical classes to calculate a smoothed median-based trend value, identifying dominant directional bias through multi-class price distribution analysis.

This indicator identifies significant structural price swings by filtering local highs and lows based on specific depth, deviation, and backstep parameters to trace the primary market trend.

Automatically identifies the highest and lowest price points within the current visible chart window to project key retracement levels dynamically.

Automatically identifies and plots Fibonacci retracement levels based on the highest and lowest price points within the currently visible chart window.

The indicator identifies structural trend reversals by tracking extreme price points and validating directional shifts based on a configurable minimum point threshold.

This algorithm identifies structural market pivots by detecting local extrema and enforcing a percentage-based retracement threshold to determine trend reversals.

This indicator calculates and displays a real-time countdown to the next candle opening by synchronizing local system time with server latency.

This indicator calculates a smoothed percentage of the current closing price relative to the highest highs and lowest lows over a defined window using a Linear Weighted Moving Average.

This indicator calculates a smoothed derivative of moving averages to identify price momentum shifts and generate directional signals based on specific threshold breaches.

This indicator automatically identifies previous day's price boundaries and projects dynamic Fibonacci levels based on the rolling session's high and low extremes.

This indicator aggregates and displays real-time historical profit statistics for multiple specific Expert Advisor magic numbers within a custom date range.

An on-screen dashboard that aggregates and categorizes historical trade results by unique magic numbers and date ranges.

This indicator identifies dynamic support and resistance zones by synthesizing WPR, CCI, and EMA trends across multiple timeframes to generate real-time level breach alerts.