Cohen Steers Real Fund Overlap Studies Simple Moving Average

RAPIX Fund  USD 12.43  0.05  0.40%   
This overlap studies tool runs Simple Moving Average study and companion studies for COHEN STEERS. It emphasizes overlay studies that smooth price action and map bands while keeping volatility, risk, and performance context in view.Provide Time Period to run this model.

The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Simple Moving Average indicator is calculated by adding the closing price of COHEN STEERS for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Cohen Steers Real short-term fluctuations and highlight longer-term trends or cycles.

COHEN STEERS Technical Analysis Modules

Most technical analysis of COHEN STEERS 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 COHEN from various momentum indicators to cycle indicators. When you analyze COHEN 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.

About COHEN & STEERS REAL ASSETS FUND INC. CLASS I

Liquidity and pricing cadence can influence observed volatility and execution context. Lower liquidity may increase execution variability. The five-year return stands at 10.0%.

Methodology

Unless otherwise specified, data for Cohen Steers Real 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. Cohen Steers Real 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

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


Be your own money manager

Tracking COHEN STEERS inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.

Generate Optimal Portfolios

Align your risk and return expectations

By capturing risk tolerance and investment horizon, Macroaxis optimization evaluates acceptable risk for target return profiles. The process summarizes how much risk can be taken for a given return goal.