This indicator calculates a weighted moving average of differentiated ADX components to generate smoother trend strength and directional velocity signals.

This indicator synthesizes an accelerated ATR calculation with a multi-method moving average to smooth volatility fluctuations and identify momentum shifts.

This indicator calculates a volatility metric by applying a Hull Moving Average transformation to an ATR-based calculation to filter noise and identify momentum trends.

This indicator calculates the Hull Moving Average to identify trend direction and dynamically plots high-low boundaries based on momentum crossover thresholds.

This indicator computes four distinct arithmetic and geometric smoothing algorithms—SMA, EMA, SMMA, and LWMA—to visualize price momentum and trend directionality.

This indicator calculates the ratio between short-term and long-term standard deviations to identify shifts in price velocity and expansion.

This indicator calculates the ratio of short-term price variance to long-term price variance using natural logarithms of price changes.

This indicator calculates the variance between current price action and Bollinger Band components while simultaneously quantifying directional momentum through a weighted sum of bullish and bearish power forces.

This indicator calculates the variance between current price action and Bollinger Band components while correlating it with aggregate bull and bear power dynamics.

This indicator identifies momentum shifts by detecting price crossovers on a primary parabolic point combined with synchronized trend confirmations from two secondary historical periods.

This indicator identifies and labels specific weekdays on the chart by detecting day-of-week transitions and rendering customizable text labels above high price points.

This algorithm dynamically adjusts its smoothing coefficient by calculating the efficiency ratio of price movement relative to cumulative market noise.

This indicator calculates an adaptive moving average by dynamically adjusting the smoothing factor based on the ratio of price volatility to market noise.

This indicator reconstructs historical account growth by calculating the real-time floating profit of open positions and the realized gains of closed trades across specific symbols.

This indicator quantifies the relative position of current price within Bollinger Band boundaries to produce a normalized value smoothed by an移動平均線 array.

This indicator quantifies market expansion by calculating the relative ratio between upper and lower Bollinger Band extremes against the moving average price.

This indicator projects historical hourly candle bodies and shadows onto the current chart to provide a multi-timeframe structural overview.

This indicator projects historical hourly price action onto the chart by visually clustering multiple candles into consolidated blocks based on user-defined periodicity.

This indicator projects historical hourly candle bodies and shadows onto lower timeframes by calculating price extremes and temporal offsets.

This indicator aggregates floating profits and costs across multiple currency pairs to calculate real-time break-even price levels and total portfolio equity.

This indicator calculates real-time net equity and the specific price point required to reach a zero-profit balance for individual symbols and combined total exposure.

This indicator visualizes the mathematical relationship between a cross pair and the product of two primary base currencies to identify triangular arbitrage discrepancies.

Visualizes the mathematical relationship between a cross pair and the product of two constituent base pairs to identify pricing inefficiencies.

This indicator visualizes the price action of a cross currency pair alongside the real-time ratio of two primary base currencies to identify relative strength dynamics.

This indicator visualizes the direct closing price of a cross currency alongside the mathematical product of two constituent base pairs to identify structural interdependencies.

This indicator visualizes the relationship between a cross pair and the product of its two component base currencies to identify structural discrepancies.

This indicator identifies and marks specific days of the week on the chart by projecting visual arrows based on daily high and low price boundaries.

This indicator identifies specific days of the week by plotting visual markers at the high and low price levels of the corresponding daily candles.

This indicator identifies and highlights specific days of the week by plotting visual arrows based on daily high and low price boundaries.

This indicator dynamically maps historical daily price extremes to project high, low, and median equilibrium corridors with user-defined volatility caps.

An on-chart visual overlay that dynamically annotates specific trading days of the week with customizable colors and labels based on historical candle data.

The algorithm identifies potential trend exhaustion by detecting directional conflicts between Stochastic oscillator peak slopes and actual price action extremes.

This indicator identifies structural price discrepancies by comparing the slope of MACD momentum peaks against corresponding price action extrema.

This indicator calculates potential future price boundaries by extrapolating the weighted average of daily high, low, open, and close prices based on the DeMarki theory.

This indicator calculates potential price boundaries by extrapolating the previous days' high, low, open, and close values to project expected trading ranges for the current session.

This indicator calculates projected price boundaries by applying Thomas DeMark's methodology to historical daily high, low, open, and close data to forecast potential volatility limits.

This indicator identifies entry and exit points by synthesizing MACD crossover mechanics, trend exhaustion reversals, and price-momentum divergence detection.

The indicator identifies potential trend reversals by detecting multi-point fractal structures, double tops, and double bottoms based on relative shadow deviations and candle body thresholds.

This indicator identifies potential trend reversals by detecting specific structural patterns including unconfirmed, double, and long-bar fractal geometries based on relative price extremes and candle body proportions.

This indicator identifies potential trend reversals by detecting specific structural price patterns, including asymmetric fractal peaks, double tops/bottoms, and elongated bar body momentum.

The indicator identifies specific entry and exit signals based on the relationship between the previous day's opening and closing prices during Friday trading sessions.

Identifies potential trade entries and exits based on the opening and closing price relationship of the previous daily candle specifically during Friday trading sessions.

This indicator identifies potential reversal points by analyzing daily candle dynamics specifically during designated high-impact Friday hourly windows.