This indicator study for TradeStation calculates combines measures of empirical properties of asset returns and ranks these components against their historical values, providing a composite score that helps traders identify potentially significant market movements and changes in trading conditions.

This indicator study for TradeStation categorizes market conditions into four distinct states. It combines trend and volatility measures to provide a comprehensive view of market dynamics, helping traders identify potential long-term trend shifts and market regime changes.

This indicator study for TradeStation compares short-term and long-term volatility to identify potential shifts in market dynamics and ranks the current volatility spread within its recent historical context.

This pair of studies for TradeStation calculates and plots the Reward-to-Risk Ratio (RRR) as an indicator and, separately, paints the bars of daily charts to help traders assess the potential reward relative to the risk of price movements over a specified period.

This indicator study for TradeStation calculates and plots realized volatility over two different time periods on daily charts. It helps traders compare short-term and long-term volatility, potentially identifying changes in market conditions and risk levels to inform trading decisions.

This indicator study for TradeStation calculates and plots the percentage gap between the closing price and its moving average on daily charts. It helps traders visualize when prices are significantly above or below the average, potentially indicating overbought or oversold conditions.

This indicator study for TradeStation is designed to help traders determine dynamic stop-loss levels for daily charts as well as identify entry points within a trend by calculating adaptive stop levels that adjust to changing market conditions.

This indicator study for TradeStation is designed to help traders determine an optimal position size for their trades based on risk management principles and market volatility. It uses a dynamic approach that adapts to changing market conditions.