The Short Term Fund Volatility Indicators Normalized Average True Range

CFSTX Fund  USD 16.45  -0.03  -0.18%   
The volatility indicators view organizes Normalized Average True Range indicator and supporting indicators around Short Term. The analysis highlights volatility indicators and range-based signals and frames technical signals with volatility and risk context.Provide Time Period to start the analysis.

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This analysis covers thirty-seven data points across the selected time horizon. The Normalized Average True Range is used to analyze tradable apportunities for Short Term across different markets.

Short Term Technical Analysis Modules

Most technical analysis of Short Term 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 Short from various momentum indicators to cycle indicators. When you analyze Short 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.

Mutual Fund Overview, Methodology & Data Sources

Expense ratio and turnover can affect long-run net returns and tracking against objectives. The current allocation is approximately 96.0% bonds and 4.0% cash. It is classified under Short Government within the Commerce family.

Methodology

Unless otherwise specified, data for The Short Term 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. The Short Term market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We reference public fund disclosures, holdings reports, and market data feeds and regulatory disclosures, including those published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data may be normalized and delayed 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

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

This content is curated and reviewed by:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board
Last reviewed on February 27th, 2026

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 Short Term 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, Short Term's short interest history, or implied volatility extrapolated from Short Term options trading.

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