This indicator calculates a mathematical line of best fit by minimizing the vertical deviations between price action points and the regression trajectory.

This indicator calculates the best-fit linear trend by computing the mathematical mean of price deviations over a specified historical lookback period.

This indicator calculates a trend line by applying the method of least squares to map the mathematical correlation between price action and time intervals.

This indicator calculates a moving linear regression line by determining the best-fit slope and intercept over a specific lookback period to visualize underlying price trajectories.

This indicator calculates a linear trendline by applying the least squares method to minimize the variance between closing prices and a regression path over a fixed historical window.

This indicator identifies the primary price trend line using least squares regression and plots dynamic upper and lower boundaries based on the maximum historical deviation.

Quantifies the rate of change in price momentum by calculating the mathematical derivative of a linear least-squares regression over a rolling period.

This indicator calculates the mathematical rate of change by determining the slope of a least-squares linear regression line over a specified lookback period.

This indicator quantifies relative price movement by calculating high, low, and close deviations from the open price across specified higher timeframes.

This indicator calculates and visualizes the price expansion from the opening price across different timeframes to determine bullish and bearish momentum intensity.

This indicator calculates the least squares regression line to project the central tendency of price action based on a user-defined historical window.

This indicator dynamically maps and projects horizontal price levels for the highest and lowest extremes across daily, weekly, monthly, and yearly cycles.

This indicator renders a sequence of horizontal price levels anchored to a primary coordinate, expanding incrementally based on user-defined pip offsets.

This indicator projects a series of horizontal price levels based on cumulative point increments relative to an anchor price.

This indicator visualizes daily and historical price extremes by plotting dynamic support and resistance lines based on previous range volatility.

This indicator visualizes historical price extremes by projecting previous session highs and lows onto the current chart to establish significant liquidity zones.

This indicator automatically plots a series of horizontal sell levels at equidistant intervals below a user-defined anchor price to visualize a tiered downside grid.

Calculates a linear regression trend line based on the opening prices of consecutive trading days to project momentum shifts.

This indicator calculates the average price deviation over a rolling window by aggregating relative spreads between historical highs, lows, and closing prices.

This indicator calculates a linear regression line to project price trends and highlights momentum shifts through dynamic color coding of the slope trajectory.

The indicator calculates the projected value of a linear trend by solving the ordinary least squares method over a specified lookback period to identify the current trajectory point.

This indicator calculates the linear regression line over a dynamic period to identify and visualize momentum shifts through directional slope transitions.

This indicator projects dynamic support and resistance zones by synthesizing standard pivots, Fibonacci-weighted levels, and Camarilla range boundaries onto a single visual interface.

This indicator dynamically projects synchronized Fibonacci retracements, Camarilla break levels, and multi-layered midpoint pivots based on historical price range volatility.

This indicator projects dynamic support and resistance levels by synthesizing Standard Pivots, Camarilla range breakouts, and Midpoint distribution based on historical price action.

This indicator synthesizes standard pivots, Fibonacci-based ranges, and Camarilla levels to map complex support and resistance boundaries from historical price action.

This indicator calculates the fractal dimension of price action to differentiate between trending market regimes and high-volatility noise using logarithmic complexity scaling.

This script scans historical price action to identify and quantify missing bar sequences, categorizing them by duration, price jumps (gaps), and structural integrity metrics.

The indicator identifies structural shifts by propagating a cumulative price state that adjusts dynamically based on directional momentum and incremental percentage deviations.

This library provides high-level wrappers for ternary operations and an execution pause mechanism to streamline multi-type conditional logic within MQL4.

This script dynamically calibrates trade volume by mapping account balance thresholds to incremental lot sizes for precision risk management.

The indicator applies multi-order digital filtering and standard deviation variance checks to isolate underlying price momentum from market noise.

This indicator calculates a linear regression line to project price trends and overlays dynamic volatility bands derived from standard deviation.