This indicator calculates a smoothed Laguerre RSI, displays it with customizable levels, and generates alerts when the RSI crosses those levels, optionally sending notifications via pop-up, email, or sound.

This indicator computes a specialized momentum ratio by calculating the relative weight of cumulative positive and negative differences across four recursive Laguerre filters.

This indicator computes a momentum oscillator by normalizing the cumulative differences of sequential Laguerre polynomial recursive values.

This indicator calculates a bounded momentum value by applying a recursive Laguerre filter to price data and determining the ratio of positive to negative directional changes.

This indicator calculates a proprietary momentum ratio by weighing the cumulative differences between sequential Laguerre polynomial components to identify price velocity.

This algorithm utilizes a recursive four-layer smoothing technique to calculate a custom momentum ratio derived from the price variance between nested differential values.

This indicator computes a smoothed relative strength index by calculating the ratio of cumulative upward movements to total price flux using Laguerre recursive polynomials.

This indicator utilizes Laguerre functions and weighted recursive filtering to calculate a relative strength momentum value based on the cumulative differences of consecutive price levels.

This indicator identifies trend reversal points by detecting crossovers in a specialized Lagurre-based relative strength index that evaluates price momentum transitions.

Identifies bullish and bearish reversals by detecting specific crossover thresholds in a recursive momentum calculation based on the Lagurre algorithm.

This indicator projects historical candle bodies and price ranges from a higher timeframe onto the current chart for concurrent structural analysis.

This indicator projects horizontal levels representing the previous day's maximum and minimum price extremes onto the current chart.

This indicator triggers automated mail and audio notifications when the live market price exceeds user-defined extremes during specific time windows.

A foundational structural template designed for modular automated trading integration and custom logic deployment.

This indicator quantifies trend strength by calculating the relative position of price against both Exponential Moving Averages and Linear Weighted Moving Averages to detect momentum shifts.

This indicator dynamically calculates daily pivot points and symmetry levels by combining arithmetic mean price averages with Fibonacci retracement ratios.

This indicator calculates daily pivot points and corresponding Fibonacci retracement levels based on the previous day's high, low, and closing price.

This indicator implements a multi-stage recursive filtering algorithm to project trend momentum by smoothing price midpoints through specific alpha coefficients.

This indicator calculates a weighted moving average where price data is multiplied by its chronological distance from the period start to highlight dynamic momentum shifts.

The indicator calculates a weighted cumulative sum of price action to determine directional momentum shifts through linear distribution.

This indicator calculates a weighted moving average by applying a linear variance coefficient to historical price data to visualize directional momentum shifts.

This indicator identifies dynamic price boundaries by projecting the maximum historical range of the preceding bars onto the current closing price.

The logic identifies bullish and bearish reversal points by comparing localized peak and trough height disparities across consecutive fractal segments.

This indicator calculates a dynamic trailing stop level by projecting historical price volatility against current exponential moving average trends.

The indicator identifies bullish and bearish price reversals by detecting instances where price action breaks through previous multi-bar swing highs and lows.

This indicator quantifies relative price volatility by calculating the cumulative deviation between current bar extremes and multi-period high/low peaks, smoothed via an exponential moving average.

This indicator projects symmetrical price levels based on previous candle volatility by switching between three distinct Fibonacci expansion ratios depending on the range of the preceding bar.

This indicator projects a series of recursive support and resistance levels derived from price action extremes using variable coefficient multipliers.

This indicator identifies structural pivot points to project time-price symmetry, featuring multi-layered channel analysis, mirrored branch expansions, and harmonic Fibonacci retracements based on the 'Price and Time' theory.

This indicator identifies high-frequency price intersection zones by calculating and visualizing the density of overlapping candle bodies across a specified historical range.

Calculates and displays distinct pivot point levels for the European and US markets by identifying price extremes within specific time-defined intervals.

This indicator dynamically calculates and displays specific pivot points, high, low, and close prices for distinct European and American trading sessions based on user-defined hourly offsets.

This indicator identifies structural reversal points by detecting consecutive identical closing prices that break previous local highs or lows across various temporalities.

Analyzes a local CSV data source to determine if current market conditions fall within a user-defined buffer period surrounding scheduled economic announcements for specific currency pairs.

This indicator aggregates real-time trade data across multiple currency pairs to visualize net profitability, weighted averages, and overhead costs including swaps and commissions.

This indicator visualizes directional momentum by calculating the divergence between two simple moving averages based on median and close prices, rendering a histogram that shifts color based on velocity changes.

This indicator visualizes price deviation from the opening price by mapping high, low, and closing extremes as historical histogram bars.

The indicator quantifies price action by mapping the absolute distance of high, low, and close prices relative to each candle's opening price into a visual histogram.

This indicator visualizes the magnitude of price action relative to the opening price by mapping bullish and bearish deviations into distinct histogram buffers.

This indicator calculates a mathematical line of best fit by applying the least squares method to historical closing prices over a fixed temporal window.

This indicator calculates a linear regression path by applying the least squares method to historical closing prices to determine the underlying mathematical trend.

This indicator calculates a best-fit trendline by applying the least squares method to map a linear trajectory over a specific lookback period of closing prices.

This indicator calculates a mathematical best-fit line using the least squares method to project historical price trends and identify underlying momentum.