The volatility indicators module provides an execution environment for Average True Range indicator and related indicators on Virtus Global. The focus on volatility indicators and range-based signals helps organize trend, volatility, and risk context for Virtus Global.Enter Time Period to execute this module.
This analysis covers thirty-seven data points across the selected time horizon. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Virtus Global Multi volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Virtus Global Technical Analysis Modules
Most technical analysis of Virtus Global help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Virtus from various momentum indicators to cycle indicators. When you analyze Virtus charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Liquidity and pricing cadence can influence observed volatility and execution context. Lower trading activity may introduce occasional variability in execution conditions.
Methodology
Unless otherwise specified, data for Virtus Global Multi Sector is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Virtus Global Multi Sector market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We use public fund disclosures, holdings reports, and market data feeds with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
Virtus Global Multi Sector may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Portfolio analytics tied to Virtus Global Multi Sector help investors review performance in context instead of judging the holding in isolation. A disciplined tracking process turns performance data into better decisions instead of more noise.
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Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.