This indicator automatically identifies and plots daily support and resistance levels by calculating floor, ceiling, and midpoint values based on previous session price extremes.

This indicator calculates and plots daily pivot points, resistance, and support levels by extracting historical price extremes from the previous trading session.

This indicator automatically calculates and plots equidistant sub-levels between primary daily pivot points to identify granular price supply and demand zones.

This indicator dynamically projects monthly pivot levels and Fibonacci retracement zones by calculating price equilibrium based on the previous month's high, low, and closing values.

This indicator dynamically projects weekly support and resistance levels by calculating pivot points based on historical weekly price extremes with an optional toggle for Fibonacci retracement ratios.

This indicator automatically calculates and plots a comprehensive suite of Fibonacci retracement and extension levels based on the high and low price action of previous daily candles.

This indicator automatically maps key Fibonacci retracement and extension levels based on the price range of previous daily sessions.

This indicator automatically calculates and plots multi-level Fibonacci retracement and extension levels based on the price range of specified historical daily candles.

This indicator automatically calculates and plots multi-level Fibonacci retracement and extension levels based on the high and low price points of preceding daily candles.

This indicator automatically identifies the high and low price points of previous daily candles to project key Fibonacci retracement and extension levels onto the current chart.

This indicator dynamically projects automated Fibonacci retracement levels by switching between historical and real-time daily price extremes based on a user-defined hourly transition point.

This indicator automatically maps dynamic Fibonacci retracement levels and identifies high-probability supply and demand zones based on historical price extremes and trend polarity.

An automated trade manager that dynamically shifts stop-loss levels to break-even or profit-locking points based on price movement intensity and predefined threshold limits.

This indicator dynamically projects concurrent daily, weekly, and monthly pivot points along with their respective support and resistance levels while accounting for specific weekend market gaps.

This indicator dynamically projects daily, weekly, and monthly pivot points and support/resistance levels while incorporating a specialized logic to exclude Sunday session data for precise price action analysis.

This indicator dynamically projects daily, weekly, and monthly pivot points along with their respective support and resistance levels using historical price extremes.

This indicator dynamically projects daily, weekly, and monthly pivot points alongside comprehensive support and resistance levels while automatically compensating for weekend market gaps.

This indicator automatically projects daily, weekly, and monthly pivot points alongside secondary support/resistance levels and mid-point divisions while dynamically filtering out non-trading weekend data.

The indicator calculates a linear regression line to identify the primary price trajectory and projects a multi-layered channel based on volatility extremes.

The algorithm utilizes linear regression coefficients to identify significant price extremes and projects a tri-line channel based on the maximum local variance from the trend line.

This indicator calculates the rate of change between price midpoints and extremes over a specific period to identify momentum acceleration and volatility expansion.

The algorithm identifies significant price reversals by filtering recursive peak and trough extrema based on a user-defined minimum momentum threshold.

This indicator calculates the rolling average of price bar ranges using multiple moving average methodologies to visualize historical volatility trends.

This indicator calculates the moving average of the price range between high and low values to quantify historical volatility across different smoothing methods.

This indicator aggregates and displays various statistical metrics of price action, including high-low ranges and price spreads, across multiple predefined historical lookback periods on a single dashboard.

This indicator calculates the rolling average price range of candles using SMA, EMA, SMMA, and LWMA smoothing techniques to quantify historical volatility.

The indicator calculates the rate of change between current price midpoints and extremes relative to a historical lookback period to visualize acceleration and deceleration in market momentum.

This indicator quantifies market momentum by calculating the divergence between short and long moving averages and visually distinguishing directional shifts via a color-coded histogram.

The logic computes the difference between two simple moving averages to identify momentum shifts and visualizes trend strength through dual-colored histogram bars.