T Rowe Price Fund Statistic Functions Beta

TRRTX Fund  USD 11.71  -0.04  -0.34%   
The statistic functions view organizes Beta function and supporting indicators around T ROWE. The analysis highlights statistical functions describing dispersion and variability and frames technical signals with volatility and risk context.Select Time Period to execute this module.

The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on T Rowe Price correlated with the market. If Beta is less than 0 T ROWE generally moves in the opposite direction as compared to the market. If T ROWE Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one T Rowe Price is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of T ROWE is generally in the same direction as the market. If Beta > 1 T ROWE moves generally in the same direction as, but more than the movement of the benchmark.

T ROWE Technical Analysis Modules

Most technical analysis of T ROWE 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 TRRTX from various momentum indicators to cycle indicators. When you analyze TRRTX 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 32.0% equities, 57.0% bonds and 9.0% cash. It is classified under Target-Date 2015 within the T. Rowe Price family.

Methodology

Unless otherwise specified, data for T Rowe Price 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. T Rowe Price market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Information for T Rowe Price 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

T Rowe Price 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

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 T ROWE 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, T ROWE's short interest history, or implied volatility extrapolated from T ROWE options trading.

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