This indicator calculates a second-order difference of Weighted Moving Averages to identify directional shifts and visualizes momentum transitions via distinct trend buffers.

This indicator calculates synchronized pivot points, Fibonacci retracements, and Camarilla levels by normalizing price data across specific global time zones.

This indicator calculates and visualizes mean historical price levels for specific days of the year by averaging data across a user-defined multi-year timeframe.

This indicator synthesizes high-frequency M1 price action into a weighted exponential average to identify underlying trends on higher timeframes.

This indicator calculates a cumulative weighted average of multi-currency price velocity against the USD to detect systemic market imbalances.

This indicator automatically plots vertical visual markers and price range high-low boundaries for Asian, European, and American trading sessions across a historical timeframe.

This script synchronizes risk parameters by batch-applying fixed pip distances for stop loss and take profit across all active positions in a specific currency pair.

This indicator dynamically renders chronological session boundaries and equidistant psychological price levels based on real-time window visibility.

This indicator renders five independent moving average overlays on a single chart, allowing for simultaneous visualization of diverse smoothing methods and periods.

This algorithm executes high-probability entries by synchronizing momentum shifts via Laguerre Filters, ADX trend strength, CCI overbought/oversold thresholds, and a dual-moving average crossover sequence.

This indicator dynamically renders real-time account specifications, smoothed spread data, and margin thresholds directly onto the chart window.

This script calculates and displays a real-time clock on the chart by applying a user-defined hour offset to the server's base time.

This indicator identifies high-probability supply and demand zones by tracking fractal pivot points, evaluating price penetration history, and categorizing zone integrity based on retest frequency and structural reversals.

This indicator quantifies relative price velocity by normalizing the spread between extremes and open prices against total tick volume to isolate bullish and bearish intensity.

This indicator evaluates the Average Directional Index (ADX) and its component vectors to differentiate between low-momentum sideways range movements and high-momentum directional trends.

This indicator computes moving average deviation levels by calculating standard deviation and dispersion over a rolling historical window to define multi-layered volatility boundaries.

This indicator synchronizes price action across nine distinct timeframes by identifying bullish or bearish momentum via moving average slope transitions.

This indicator identifies dynamic support and resistance zones based on fractal high/low pivots and triggers real-time alerts when price action intersects these projected trend lines.

This indicator dynamically projects trendlines based on fractal peaks and troughs to identify price proximity and alert users when the market breaches specific support and resistance zones.

Identifies market reversals by detecting stochastic line crossovers while filtering for price position relative to a moving average.

This indicator identifies potential reversal points by detecting precise crossovers of the Commodity Channel Index (CCI) across the -100 and 100 extreme momentum boundaries.

This indicator automatically renders a multi-layered horizontal grid of round number levels that dynamically adapts to the current chart price range and pixel density.

This indicator quantifies the relative percentage distance between multiple moving averages (SMA and SMMA) against a primary long-term baseline to identify overextended market conditions.

This indicator calculates a Simple Moving Average of the Relative Strength Index to filter out noise and highlight primary momentum trends.

This indicator quantifies market participation by calculating the product of the opening price and the specific transaction volume for each candle.

This indicator dynamically annotates the price chart with color-coded weekday labels anchored to specific historical timestamps.

An on-chart visual dashboard that dynamically calculates and displays real-time distances for Stop Loss, Take Profit, and pending order entry prices in pips or fractional points.

This indicator dynamically projects visual labels on the chart to display real-time stop-loss, take-profit prices, and pending order distances in fractional pips.

This indicator identifies active trade positions and projects real-time visual labels on the chart to display the exact pip distance of Stop Loss and Take Profit levels relative to entry prices.

This indicator enables real-time interactive optimization by mapping visual chart markers to specific numerical inputs for dynamic buffer recalculation.

This indicator calculates real-time price momentum by applying a square-root derived smoothing algorithm to weighted moving average derivatives across nine concurrent timeframes.

The code identifies dynamic stop-loss levels by scanning historical price extremes on higher timeframes to find structural pivot points relative to current market movement.

This indicator identifies optimal stop-loss levels by scanning historical price action to find structural pivots and highlighting significant breakout zones.

This indicator identifies high-probability entry points by detecting synchronized bearish or bullish momentum across multiple concurrent timeframes using aligned MACD histograms.

This indicator identifies high-probability entries by detecting synchronized bearish or bullish momentum across four distinct timeframes simultaneously.

This indicator identifies high-probability reversal points by detecting synchronized MACD histogram polarity across the M5, H1, H4, and D1 timeframes simultaneously.

This indicator decomposes total tick volume into distinct proportions based on the price movement of each individual currency within a forex pair.

This indicator overlays and scales a secondary asset's price data onto the current chart to visualize relative price discrepancies, spread dynamics, and directional correlations.

This indicator dynamically fetches the current bid-ask gap from the market data and renders a live visual overlay on the chart coordinates.

This indicator monitors real-time liquidity gaps by recording and persisting the historical minimum spread values into a binary data file.

This indicator projects real-time horizontal lines for the current Ask and Bid prices onto the chart with adjustable spread offsets.

This indicator imports historical spread data from a CSV file to calculate statistical metrics including mean and mode while mapping past values onto the current chart.

Captures real-time normalized spread values and persists them into a localized CSV file upon each new bar completion.

This indicator tracks and visualizes real-time bid-ask spreads across multiple currency pairs simultaneously while providing optional CSV logging for historical liquidity analysis.

This indicator dynamically visualizes live market spread, stop level, and freeze level constraints directly on the chart workspace.

This indicator identifies high-intensity trend reversals by calculating a non-linear reciprocal of the correlation between price velocity and stochastic momentum shifts.

This indicator identifies periods of market contraction using Bollinger and Keltner Band crossovers, while visualizing smoothed momentum shifts through a linear regression-based histogram.

This indicator identifies trend reversals by detecting crossovers between fast and slow moving averages filtered through RSI momentum thresholds and price action confirmation.