This indicator overlays Bollinger Bands and an Exponential Moving Average directly onto the Stochastic Oscillator's K-line to identify dynamic momentum zones and volatility extremes.

Calculates multi-temporal volatility averages to determine objective price corridors and risk-adjusted stop loss levels based on historical daily range persistence.

This indicator calculates and maps daily pivot points based on previous session highs, lows, and closing prices while analyzing directional price slopes.

This indicator identifies trend reversals by detecting price violations of a fluctuating channel constructed from highest high and lowest low extremes adjusted by a specific percentage offset.

This indicator generates dynamic upper and lower boundaries by calculating a moving average of the RSI combined with standard deviation multipliers to identify extreme momentum zones.

This indicator synthesizes a standard stochastic oscillator with a unique 'Dynamo' calculation that measures the relative variance between the main %K line and its moving average signal against a central equilibrium.

This indicator calculates a modified stochastic momentum by blending the %K line and its simple moving average signal against a 50-point equilibrium axis.

Calculates a weighted central mean using period extremes and adjacent closing prices to derive multi-level structural support and resistance zones.

This indicator projects multiple price equilibrium levels by calculating arithmetic averages of historical highs, lows, and recent closing prices.

This indicator calculates and projects historical pivot points by synthesizing the previous day's high, low, and closing prices using customizable weighted averages.

This indicator calculates daily pivot points and symmetrical range boundaries based on the previous day's high, low, and closing price across multiple formulaic variations.

Identifies trend reversals by detecting price crossovers against a volatile boundary adjusted by a fixed percentage of the asset's point value.

This indicator identifies trend reversal points by detecting specific crossover alignments between two Linear Weighted Moving Averages while filtering signals based on local price volatility ranges.

This indicator calculates rolling volatility ranges to establish dynamic support and resistance boundaries, generating buy and sell signals based on price momentum crossing relative trend thresholds.

The logic identifies structural momentum shifts by tracking the directional slope of a dual SMA differential to isolate trend-reversal points.

This indicator calculates a standard Relative Strength Index and applies successive layers of multi-period linear regression weighting to smooth signal noise and identify high-probability momentum trends.

This indicator calculates a Relative Strength Index that applies successive weighted polynomial filters to dampen noise and enhance trend persistence.

An automated management tool that synchronizes active trade positions with real-time mouse-draggable graphical objects to dynamically adjust stop-loss and take-profit levels.

This automated script monitors open positions and dynamically adjusts stop-loss levels to the entry price once a predefined profit threshold is reached, ensuring capital preservation.

This automated system dynamically adjusts stop-loss thresholds across three progressive profit milestones while providing partial position liquidation and adaptive trailing mechanisms.

This EA manages open positions by dynamically moving stop-loss levels through three distinct profit tiers before transitioning into a continuous trailing stop mode.

An automated trade management system that dynamically adjusts stop-loss levels through three progressive profit zones, featuring partial position closing and recursive trailing logic.

This script automatically adjusts stop-loss levels for active trades based on real-time price fluctuations to secure unrealized gains while maintaining a predefined buffer.

Dynamically updates stop-loss levels across specific or global trades to secure gains based on predefined point increments and profit thresholds.

Dynamically adjusts stop-loss levels to lock in realized gains based on fixed point intervals and incremental step adjustments across multiple active positions.

This script implements a dual-mode trailing stop logic that adjusts position protection based on either historical Average True Range (ATR) volatility or local price range extremes.

A dynamic configuration tool that retrieves real-time values from multiple external indicators to trigger instant notifications upon price or buffer intersections.

This tool retrieves data from multiple external custom indicators via iCustom and triggers real-time notifications upon identifying specific directional crossovers between their respective buffers.

This indicator calculates a normalized ratio between smoothed price action (Open-Close) and volatility (High-Low) to identify trend momentum and exhaustion points.

This indicator quantifies relative price momentum by calculating the ratio of nested moving averages of candle bodies against their total ranges to identify overextended market behavior.

This indicator calculates a smoothed moving average of the price range per point to quantify and visualize market expansion speed.

This indicator calculates a weighted aggregate of major currency pairs to simulate the USDX movement using power-based exponential weighting.

This indicator calculates a weighted average of mid-price points where the proximity to current price determines the magnitude of influence, effectively identifying the gravitational center of a specific lookback period.

This indicator normalizes price oscillations into a bounded range using a sigmoid-like transform to highlight momentum shifts and trend exhaustion.

This indicator applies a logarithmic transformation to price extremes to normalize oscillations, enhancing the identification of momentum reversals and overextended price action.

This indicator constructs a sophisticated trend line by fusing an instantaneous linear regression slope with a cyclical component derived from sinusoidal phase shifts and high-pass filtering.

This indicator implements a recursive signal processing algorithm to eliminate high-frequency noise and isolate underlying price trends using specialized trigonometric coefficients.

This indicator utilizes a recursive optimization loop to minimize the deviation between price action and the moving average by dynamically calculating the best gain coefficient.

This indicator calculates a weighted price average by applying an iterative variance-based coefficient to a multi-point smoothed price sequence.

This indicator synthesizes price action by blending a weighted SMA with an instantaneous slope component and a high-pass filtered cyclic signal to identify underlying directional momentum.