Inflation Protection Fund Statistic Functions Beta

PIPIX Fund

USD 7.72 -0.02 -0.26%

Use the statistic functions workspace to apply Beta function and other studies to Inflation Protection. The focus on statistical functions describing dispersion and variability helps organize trend, volatility, and risk context for Inflation Protection.Please specify Time Period to execute this module.

Symbol

This analysis covers thirty-seven data points across the selected time horizon. The Beta measures systematic risk based on how returns on Inflation Protection correlated with the market. If Beta is less than 0 Inflation Protection generally moves in the opposite direction as compared to the market. If Inflation Protection Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Inflation Protection is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Inflation Protection is generally in the same direction as the market. If Beta > 1 Inflation Protection moves generally in the same direction as, but more than the movement of the benchmark.

Inflation Protection Technical Analysis Modules

Most technical analysis of Inflation Protection 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 Inflation from various momentum indicators to cycle indicators. When you analyze Inflation 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

Mutual Fund Overview, Methodology & Data Sources

Liquidity and pricing cadence can influence observed volatility and execution context. Lower trading activity may introduce occasional variability in execution conditions. The five-year return stands at 1.0%.

Methodology

Unless otherwise specified, data for Inflation Protection 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. Inflation Protection Fund market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Macroaxis analytics incorporate public fund disclosures, holdings reports, and market data feeds and official disclosures from U.S. Securities and Exchange Commission (SEC) via EDGAR. Data harmonization may result in minor timing offsets. 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

Inflation Protection Fund 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:

Michael Smolkin - Member of Macroaxis Board of Directors

Last reviewed on March 10th, 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 Inflation Protection 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, Inflation Protection's short interest history, or implied volatility extrapolated from Inflation Protection options trading.

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