Science Technology Fund Volatility Indicators Average True Range

VCSTX Fund

USD 37.34 0.28 0.76%

The volatility indicators view organizes Average True Range indicator and supporting indicators around SCIENCE TECHNOLOGY. The analysis highlights volatility indicators and range-based signals and frames technical signals with volatility and risk context.Select Time Period to execute this module.

Symbol

The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Science Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.

SCIENCE TECHNOLOGY Technical Analysis Modules

Most technical analysis of SCIENCE TECHNOLOGY 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 SCIENCE from various momentum indicators to cycle indicators. When you analyze SCIENCE 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.

	Cycle Indicators
	Math Operators
	Math Transform
	Momentum Indicators
	Overlap Studies
	Pattern Recognition
	Price Transform
	Statistic Functions
	Volatility Indicators
	Volume Indicators

About SCIENCE & TECHNOLOGY FUND SCIENCE & TECHNOLOGY FUND

Expense ratio and turnover can affect long-run net returns and tracking against objectives. The current allocation is approximately 96.0% equities and 3.0% cash. It is classified under Technology within the VALIC family.

Methodology

Unless otherwise specified, data for Science Technology Fund 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. Science Technology Fund market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Information for Science Technology Fund is compiled from public fund disclosures, holdings reports, and market data feeds and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Reporting latency may occur in some cases. 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

Science Technology Fund may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

SCIENCE Mutual Fund is Curated By:

Raphi Shpitalnik · Junior Member of Macroaxis Editorial Board

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SCIENCE TECHNOLOGY in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SCIENCE TECHNOLOGY's short interest history, or implied volatility extrapolated from SCIENCE TECHNOLOGY options trading.

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