This script automatically captures and exports historical price data from various timeframes into organized CSV files for external analysis.

This indicator calculates a composite weighted average of moving average differentials across multiple currency pairs to determine the synthetic strength and relative momentum of specific underlying fiat currencies.

This indicator calculates multi-day average price ranges, current volatility metrics, and real-time account performance statistics based on daily candle data.

This indicator projects higher timeframe price action and candle geometries onto a lower timeframe chart by dynamically rendering historical and real-time OHLC data as geometric objects.

This indicator dynamically projects higher timeframe OHLC data and price shadows onto the current chart using geometric objects to provide a multi-layered structural perspective.

This indicator projects higher timeframe OHLC structures and price shadows onto the current chart to facilitate multi-temporal spatial awareness.

This indicator visualizes higher timeframe price action by projecting synthetic candles and shadow extremes onto a lower timeframe chart to facilitate structural analysis.

This indicator projects visual candle structures from a higher custom timeframe onto the current chart by synthesizing OHLC data and drawing geometric wicks.

The indicator draws a dynamic rectangle spanning from a historical candle's specific price point to the current price, with color shifts reflecting bullish or bearish momentum changes.

Iterates through all active market positions to execute immediate closures while simultaneously purging all outstanding pending orders.

This indicator identifies trend reversals by synchronizing squared price action volatility with overlapping multi-period moving average crossovers.

This indicator utilizes a weighted median-price sequence to calculate a multi-stage smoothed second-order difference, providing a filtered view of momentum cycles.

A recursive digital signal processing filter that extracts cyclic components from price midpoints by applying a smoothed autoregressive model.

This indicator detects nested market fluctuations by identifying concurrent minor and major trend reversals using price action filters, zero-lag smoothing, and dynamic sweep thresholds.

This indicator identifies nested market structural rotations by detecting multi-frequency price deviations and verifying trend persistence through Zero-Lag SMA/RSI smoothing filters.

This indicator identifies nested market structures by detecting multi-scale price oscillations and momentum shifts through zero-lag filtering and weighted moving average sweeps.

This indicator identifies nested market structures by detecting major and minor price oscillations through smoothed moving averages, zero-lag filtering, and dynamic range-based sweep thresholds.

This algorithm utilizes digital signal processing to extract dominant oscillation frequencies from price action by calculating median phase deltas and smoothing the resulting instantaneous period.

This indicator utilizes a sophisticated phase-difference algorithm to extract the underlying periodicity of price fluctuations by calculating median delta phases from smoothed cycles.

This indicator calculates a self-adjusting stochastic value based on an adaptive time period derived from the historical frequency of moving average crossovers.

This indicator identifies cyclical price rhythms by calculating a stochastic oscillator derived from the MACD, using a dynamic period determined by the average frequency of moving average crossovers.

This indicator calculates a dynamic cycle period based on historical moving average crossover frequencies to derive a stochastic momentum value for trend identification.

This indicator synchronizes and overlays three distinct timeframes of KROUFR cycle data into a single unified oscillator to visualize multi-layered market rhythm.

This indicator dynamically calculates daily pivot points, support levels, and resistance zones using high-low price ranges adjusted by Fibonacci retracement ratios.

This indicator identifies high-probability entries by synchronizing exponential moving average trends across M30, H1, H4, and D1 timeframes with RSI and MACD momentum filters.

This indicator projects the previous trading day's peak and trough levels onto the current chart to identify historical volatility boundaries.

This indicator calculates and plots daily pivot points along with five distinct support and resistance levels based on previous period price extremes and closing values.

This indicator identifies and projects the specific opening price levels for both the standard daily session and the European market start time across the chart.

This indicator calculates and plots daily support and resistance levels by deriving key price pivots from the previous day's high, low, and closing prices.

This indicator dynamically calculates and plots standard floor pivots, extended support/resistance levels, and intermediate midpoint boundaries based on previous daily price action.

This indicator calculates multi-period historical volatility to project potential price movement limits and determine risk-adjusted stop-loss levels based on custom reward ratios.

This tool calculates multi-period daily volatility to determine dynamic price 'rooms' and projects optimal stop-loss levels based on a user-defined risk-to-reward ratio.

This indicator calculates and plots daily support and resistance levels by analyzing historical price action averages from the D1 timeframe relative to current intraday volatility.

This indicator automatically plots dual-directional Fibonacci retracements based on the previous day's high and low price extremes to identify key liquidity zones and reversal levels.

This indicator dynamically identifies and projects horizontal price levels corresponding to the commencement of daily and weekly trading sessions.

This indicator identifies the extreme price boundaries by dynamically plotting the highest highs and lowest lows over a rolling five-day period to signal potential breakout zones.

Identifies and plots the highest price peak and lowest price trough over a rolling five-day historical window to visualize immediate support and resistance.

Identifies the extreme price boundaries by calculating the highest highs and lowest lows over a specific historical window to pinpoint potential breakout zones.

Identifies and plots the extreme price boundaries by calculating the highest highs and lowest lows across a user-defined rolling period of daily candles.

Identifies and plots the extreme price boundaries established over a rolling five-day period to detect potential breakout momentum.

Identifies and plots the extreme price levels by calculating the highest peak and lowest trough over a specific trailing timeframe.

This indicator identifies and plots the highest peak and lowest trough across a rolling five-day historical window to pinpoint potential price breakout levels.

This indicator identifies the previous day's high and low extremes to plot horizontal support and resistance levels with automated proximity alerts.

Visualizes daily price range dynamics and real-time distance metrics from high/low extremes onto sub-minute charts.

This indicator dynamically plots the rolling session extremes by identifying and projecting the highest peak and lowest trough prices recorded within each calendar day.