This indicator dynamically renders the live Ask, Bid, and calculated Spread values directly on the chart with customizable normalization for precise execution monitoring.

Dynamically renders real-time quote prices and normalized spread values directly onto the chart window for immediate execution monitoring.

This indicator quantifies bullish and bearish pressure by calculating the relative position of price action within both individual candle ranges and multi-period high-low envelopes.

This script extracts real-time Stochastic Oscillator values and corresponding timestamps into a structured comma-separated file for external data analysis.

This indicator identifies and maps historical structural peaks and troughs by synthesizing ZigZag data across three distinct concurrent timeframes to highlight significant trend reversals.

This indicator constructs a dynamic pricing corridor by projecting Average True Range deviations from either the absolute high-low extremes or the calculated median price.

This indicator identifies precise price consolidation zones and volatility contraction points by analyzing ATR variance ratios, price range expansion limits, and multi-period standard deviation consistency.

This indicator projects real-time Average True Range values across nine distinct timeframes simultaneously onto a single chart display.

This indicator computes a triple-layered Linear Weighted Moving Average of Average True Range values to smooth volatility trends and identify momentum shifts.

This indicator computes a weighted volatility metric by applying an exponential smoothing coefficient to the range difference between current price extremes and previous closing values.

This indicator identifies overarching market turbulence by applying a smoothed moving average to the Average True Range values.

This indicator calculates and visualizes the weighted average true range to provide a real-time measurement of market price fluctuations scaled to user-defined multipliers.

This utility automates the sequential cycling of active trading windows to the foreground, allowing users to keep each chart visible one by one without manual clicking.

This indicator calculates dynamic trading bands around a moving average, using standard deviation smoothed by another moving average to adapt to market volatility, based on Alexander Elder's envelope concept.

This indicator automatically calculates and plots Fibonacci retracement levels by identifying extreme price boundaries over a rolling temporal window.

Automatically injects predefined profit targets and loss limits into manual trades by monitoring open positions and applying price-point offsets.

Automatically appends standardized profit targets and risk boundaries to active positions lacking pre-defined exit parameters across multiple symbols.

Automatically identifies the most recent structural pivots using a ZigZag algorithm to project precise Fibonacci retracement levels in real-time.

This indicator calculates a weighted average of price fluctuations by aggregating the high-low ranges from the previous day, 5 days, 10 days, and 20 days respectively.

Calculates a high-exponent ratio between current opening prices and the linear weighted moving average of median prices to isolate localized momentum shifts.

This indicator calculates the ratio of current price extremes to their simple moving average extremes raised to the fifth power to highlight non-linear volatility deviations.

This indicator calculates the dynamic equilibrium price by factoring in the net lot volume and real-time profit/loss fluctuations of all open positions on the current symbol.

This indicator calculates and visualizes the real-time weighted average entry price adjusted by current net profit or loss to identify the dynamic break-even point for pooled positions.

This indicator quantifies the duration of consecutive price movements by counting successive bars where the auxiliary 'Awesome' metric maintains a unidirectional trend.

This indicator calculates the percentage difference between dual smoothed moving averages and applies a secondary mean smoothing to visualize momentum shifts via histogram reversals.

This algorithm calculates the percentage variance between two smoothed moving averages and applies a secondary SMA filter to identify trend velocity.

This indicator calculates the difference between two moving averages of varying periods to visualize market momentum and directional shifts through a dual-colored histogram.

This indicator calculates the difference between two simple moving averages to visualize price momentum, identifying trend reversals via zero-line crossovers and signal line intersections.

Calculates and displays the real-time countdown of seconds and minutes remaining until the current candle closes on the chart.

This indicator dynamically projects daily high, low, and open price levels onto the chart while visualizing historical daily session boundaries.

Iterates through active market positions to identify and purge all non-market executable limit and stop orders across the current symbol.

This indicator extracts and displays real-time statistical data including daily range, distance from opening price, average volatility, and transaction costs directly on the chart.

This indicator visualizes real-time price volatility corridors by plotting dual pairs of horizontal lines at fixed point offsets from the current closing price.

A real-time visual countdown that calculates the precise remaining duration of the current candle and displays the instantaneous market spread.

Calculates a moving average of normalized relative closing prices to identify overextended price action and structural exhaustion zones.

This indicator projects historical price action patterns into a forward-looking visual space on the chart specifically for strategy validation within the MT4 backtesting environment.

This indicator aggregates real-time floating profits and lot sizes for specific currency pairs, displaying a dynamic on-chart dashboard with color-coded performance totals.

This indicator calculates the absolute point distance between the high and low price of specific candles and projects them as numerical text overlays on the chart.

This utility converts raw string data into a 64-character alphanumeric representation and back to ensure data integrity during transmission.

This indicator quantifies market instability by calculating a moving average of standard deviation values sampled at randomized intervals to filter noise.

This script generates synthetic offline historical charts by calculating the geometric mean of multiple weighted currency pairs and exporting them as a custom .hst file.

This indicator synthesizes Bollinger Band deviations with a dual-layered MACD calculation to visualize trend intensity and momentum shifts in a single oscillator window.

This indicator synchronizes Bollinger Band volatility dynamics with a customized dual-EMA MACD calculation to visualize price momentum and trend strength shifts.

This indicator identifies potential trend exhaustion by detecting price pierces of Bollinger Bands coupled with oversold or overbought RSI conditions and subsequent momentum shifts.

This indicator identifies bullish and bearish trend momentum via linear regression analysis while flagging volatility squeezes using a ratio of standard deviation to adjusted ATR.

This indicator synthesizes Bollinger Band deviations with dual-period moving average differentials to visualize market momentum and directional trend shifts.

This library provides custom functions to compute multi-method Bollinger Bands with precise deviation scaling alongside a dynamic MACD calculation for identifying price extremes and trend velocity.