This script identifies and increments a global counter every time a new candle opens on the specified timeframe.

This indicator identifies bullish and bearish momentum by synchronizing H4 timeframe trend filters—incorporating EMA crossovers, RSI levels, and Stochastic shifts—with real-time MACD and Stochastic trigger signals on lower timeframes.

This indicator projects five symmetric Fibonacci-based price levels relative to a Simple Moving Average to identify potential support and resistance zones.

This indicator plots a dynamic symmetrical cluster of horizontal levels based on the deviation of Fibonacci sequence integers from a primary Simple Moving Average.

This indicator projects dynamic horizontal price levels by calculating equidistant Fibonacci-based offsets from a moving average base.

This indicator projects multi-layered Fibonacci price levels dynamically relative to a Simple Moving Average mean to identify potential trend exhaustion and reversal zones.

This indicator projects dynamic horizontal support and resistance levels by applying Fibonacci-scaled offsets to a primary Simple Moving Average.

This indicator projects dual-sided Fibonacci price levels dynamically anchored to a user-selectable moving average to identify potential reversal zones.

This indicator projects a symmetrical grid of horizontal price levels based on various moving average types and specific Fibonacci-derived point offsets to identify potential support and resistance clusters.

This indicator projects a symmetrical grid of Fibonacci-based price levels relative to a user-selectable moving average to identify potential reversal zones.

This indicator projects symmetrical horizontal price levels based on various moving average types to identify potential structural pivot points and liquidity zones.

This indicator identifies trend reversals and momentum shifts by calculating a DeMarker oscillator value filtered through dual Linear Weighted Moving Averages to generate bullish, bearish, or neutral histogram signals.

This indicator applies nested Linear Weighted Moving Averages over a DeMarker oscillator to filter noise and identify trend shifts in momentum.

This indicator identifies trend reversals by applying dual linear weighted moving averages to the DeMarker momentum values to filter market noise.

This indicator identifies trend reversals by applying a Fibonacci-weighted smoothing filter to a multi-step DeMarker momentum calculation to detect precise crossovers and price divergences.

This indicator utilizes a multi-period DeMarker calculation smoothed through a Fibonacci-weighted moving average to identify momentum crossovers and price-action divergences.

This indicator applies a multi-period weighted RSI average smoothed through a Fibonacci curvature polynomial and overlaid with Bollinger Bands to identify volatility-adjusted momentum extremes.

This indicator quantifies price action velocity by measuring the differential between weighted moving averages and smoothed extreme high/low boundaries to identify momentum shifts.

This indicator identifies bullish and bearish trend reversals by detecting the specific crossover points between fast and slow exponential moving averages.

This indicator calculates synthetic price levels by multiplying or dividing related currency pairs to detect discrepancies between real-time market quotes and theoretical cross-rates.

This indicator monitors the real-time crossover of a rapid exponential moving average against a lagging exponential moving average to trigger immediate price trend shift notifications.

This indicator monitors real-time price momentum by detecting specific directional shifts when a short-term exponential moving average crosses over or under a long-term baseline.

This indicator triggers real-time alerts by detecting instantaneous trajectory shifts when a 144-period exponential moving average pierces the 200-period trend line.

This indicator identifies high-probability trade entries by detecting specific momentum crossovers and structural trend alignments across the M5, M15, and current chart periods using stratified stochastic filters.

This indicator analyzes volume dynamics by calculating multiple moving averages with an automated intensity filter and a real-time velocity ratio to identify accelerating or decelerating market activity.

This script extracts historical price action, volume, and temporal coordinates from a specified bar range to generate a structured comma-separated text file.

This script parses external CSV price data and re-encapsulates it into a binary .hst format compatible with MetaTrader's native history storage.

This script parses raw comma-separated value files and transforms them into a binary history format compatible with MetaTrader 4's internal database.

This script performs a historical backtest to aggregate price volatility, directional bias, and pips movement based on specific calendar days of the month across multiple years.

This script reconstructs historical price data by interpolating continuous timeframes while neutralizing weekend gaps and allowing for custom period scaling.

The script automatically parses and populates an array of tradable currency pairs by cross-referencing a predefined list of international ISO codes against available market symbols.

This tool computes and exports the maximum permissible trading volume for multiple currency pairs by cross-referencing broker margin requirements against a user-defined percentage of available free margin.

This indicator calculates the maximum number of concurrent lot positions achievable based on current account free margin, spread costs, and user-defined risk percentage.

Calculates net cross-currency weightings by decomposing active forex trade pairs into individual base and quote currency balances.