Technical Indicators

Measures buying and selling pressure by combining price and volume flow.

Identifies trend strength and potential reversals by measuring time between highs and lows.

Measures market volatility by calculating the average range of price movements.

Momentum oscillator measuring the acceleration of the Accumulation/Distribution line using fast and slow moving averages.

Captures price momentum by comparing recent gains to recent losses over a specific period.

Momentum oscillator measuring deviation from statistical average to identify overbought and oversold conditions.

Measures the statistical relationship between two asset prices over time.

Measures trend direction and strength using directional movement indicators (DMI).

Tracks highest high and lowest low over a period to identify breakout opportunities.

Comprehensive trend system providing support/resistance levels, momentum signals, and trend direction through five interrelated lines.

Measures intrabar momentum by comparing closing price to the bar's range.

Volatility-based channels using ATR to identify overbought/oversold conditions.

Self-adjusting moving average that automatically adapts to market speed changes.

Adaptive price bands using McGinley Dynamic for dynamic support and resistance levels.

An adaptive momentum oscillator combining the McGinley Dynamic moving average with the Commodity Channel Index to measure price deviation with reduced lag.

Creates upper and lower envelope bands around the McGinley Dynamic moving average.

An adaptive MACD variant that replaces traditional moving averages with McGinley Dynamic lines, reducing lag and whipsaws inherent in standard MACD calculations.

Volume-weighted RSI that identifies overbought/oversold conditions using price and volume data.

Smooths price data by calculating the average price over a specific time period.

Tracks the relationship between two moving averages of price to identify momentum shifts and trend direction changes.

Fixed-percentage bands around a moving average for support and resistance levels.

Creates upper and lower envelopes at fixed distances from a moving average.

Tracks price changes on low-volume days to identify smart money movements.

Cumulative volume-based momentum indicator that relates price changes to volume flow.

Tracks price trends with dynamic stop-loss levels that accelerate with trend momentum.

Shows the percentage difference between two moving averages to identify momentum shifts.

Measures price movements on high-volume days to identify retail trading activity.

The Positivity Index is an indicator that quantifies bullish or bearish sentiment by measuring the percentage of positive price changes over a specified period. It provides a clear percentage-based view of market sentiment, ranging from -1 (all periods negative) to 1 (all periods positive).

Measures the percentage change in price between consecutive periods.

Momentum oscillator measuring overbought and oversold conditions on a 0-100 scale.

Compares closing price to opening price range to measure trend strength.

Calculates percentage returns over a specified time period for performance analysis.

Smoothed version of the stochastic oscillator that reduces false signals and noise.

Compares closing price to price range over time to identify overbought/oversold levels.

Trend-following indicator that provides buy and sell signals based on ATR volatility.

Measures the true price range including gaps between consecutive trading periods.

Dual-smoothed momentum indicator that measures trend direction and overbought/oversold levels.

Measures downside volatility and risk by tracking the depth and duration of price drawdowns.

Momentum indicator measuring overbought/oversold levels from -100 to 0 scale.