This EA automates trade management by identifying dynamic profit targets and stop-loss levels based on trendlines, channels, and technical indicators like SAR or Envelopes.

This indicator calculates a smoothed momentum value by applying a multi-stage triple exponential smoothing filter to price action to identify underlying trend trajectories.

This indicator maps normalized RSI, CCI, and PRI values onto the price chart using dynamic median and range calculations to identify momentum breaches.

This tool synthesizes primary data from various technical oscillators—including MACD, RSI, CCI, RVI, and DeMarker—to calculate a unified momentum difference between the main indicator and its signal line.

This indicator calculates the difference between two Hull Moving Averages of varying periods to identify trend momentum and price velocity.

This indicator calculates the difference between the MACD line and its signal line to visualize momentum shifts via a color-coded histogram and zero-line crossover alerts.

Calculates the instantaneous variance between a dual-EMA spread and its moving average signal to visualize price momentum shifts.

Calculates a derivative of the MACD by subtracting its smoothed signal line from the raw difference of dual exponential moving averages.

This indicator computes a moving average of the MACD values to generate an oscillating histogram that identifies momentum shifts and zero-line crossovers.

This indicator calculates the difference between an exponential moving average and a signal line to visualize momentum shifts through a dual-colored histogram that triggers alerts on zero-line transitions.

This visual tool bifurcates the Moving Average of Oscillator (MACD) into a dual-colored histogram based on positive and negative deviations from the signal line.

This indicator calculates the difference between a smoothed MACD line and its signal average to isolate underlying price momentum.

This indicator computes a histogram by subtracting a Signal SMA from the difference between two Exponential Moving Averages.

This indicator calculates a synthetic currency strength index by aggregating the weighted price differentials of EURUSD, GBPUSD, USDCHF, and USDJPY to identify directional USD dominance.

This indicator identifies trend reversals by correlating the direction of the Accumulation/Distribution (AC) index with Stochastic oscillator thresholds while overlaying a 200-period Simple Moving Average for structural bias.

This indicator scans a custom list of currency pairs to identify high-probability long and short entries by synchronizing Awesome Oscillator momentum shifts, Stochastic oscillator crossovers, and SMA trend filtering.

A multi-currency dashboard that concurrently processes Awesome Oscillator, Stochastic, and ATR metrics across multiple timeframes to identify synchronized momentum shifts and volatility breakouts.

This multi-currency dashboard identifies bullish and bearish opportunities by synchronizing Awesome Oscillator reversals, Stochastic momentum thresholds, and SMA trend filters across multiple pairs simultaneously.

This indicator synthesizes momentum from the Awesome Oscillator, Stochastic oscillators, and moving averages to trigger three distinct entry methodologies: standard trend confirmation, AES volatility logic, and swing point detection.

This indicator identifies trend reversals by correlating Awesome Oscillator (AO) momentum shifts with Stochastic crossovers, complemented by optional SMA and RSI trend filtration.

This indicator identifies bullish and bearish market shifts by correlating smoothed acceleration changes with stochastic momentum thresholds while providing optional moving average and RSI trend filtration.

This indicator calculates the percentage deviation of multiple currency pairs from their respective moving average benchmarks to visualize relative price momentum across different markets simultaneously.

This indicator synchronizes Parabolic SAR, Bollinger Bands, and triple EMA smoothing with real-time price action visualization to identify trend momentum and volatility boundaries.

This indicator quantifies the linear relationship between two separate currency pairs by calculating the Pearson correlation coefficient based on moving average deviations and standard deviations.

This indicator computes a high-order smoothed signal by applying recursive exponential moving averages and weighting them through a polynomial coefficient expansion.

This indicator identifies trend reversals by detecting specific price action entrapments between three distinct moving averages combined with a steep angular slope threshold.

The indicator normalizes the Relative Strength Index based on dual threshold boundaries that shift dynamically depending on whether price is above or below its long-term moving average.

This indicator identifies high-probability trend shifts by synchronizing H4 momentum filters—specifically EMA crossovers, RSI levels, and Stochastic trends—with real-time price action triggers.

This indicator calculates directional momentum by extracting and comparing specific weighted price offsets from a cumulative moving average summation.

This indicator quantifies price velocity by calculating the percentage difference between two exponential moving averages relative to the slower trend line.

This indicator quantifies price velocity by calculating the percentage difference between two exponential moving averages relative to their slower component.

This indicator calculates a high-order smoothing moving average using the Tim Tillson T3 algorithm, augmented by an Inverse Fisher Transform of the rate of change normalized by ATR to determine dynamic trend momentum.

This indicator calculates a high-order smoothed moving average using the Tillson T3 algorithm combined with a Fisher Transform filter to visualize trend velocity and momentum intensity via dynamic color shifting.

This indicator identifies trend reversals by detecting when price action breaches a specific pip buffer beyond the calculated moving average.

This indicator calculates the numerical variance between two distinct moving averages of varying periods and smoothing methods to visualize price momentum as a histogram.

This indicator aggregates real-time data from multiple timeframes to provide a visual dashboard of MACD, RSI, Stochastic, CCI, and EMA trends simultaneously.

This indicator calculates upper and lower price boundaries by applying a percentage deviation to the Smoothed Moving Average of the high and low prices respectively.

This indicator identifies trend reversals and momentum continuations by monitoring price breaches of volatility-adjusted upper and lower boundaries based on high/low extremes.

This indicator renders a real-time visual display of the current Exponential Moving Average price and an incrementing tick counter directly on the chart workspace.

A comprehensive on-chart dashboard that visualizes real-time spread, pip variance from open, and a multi-period daily average range for precise volatility monitoring.

This indicator calculates and displays real-time daily statistics, including average price range volatility over multiple lookback periods, current spread, and price progression from the session open.