Strategic Allocation Moderate Fund Math Transform Inverse Tangent Over Price Movement

ASMRX Fund  USD 6.71  -0.02  -0.30%   
Use the math transform workspace to apply Inverse Tangent Over Price Movement transformation and other studies to STRATEGIC ALLOCATION:. The focus on price transformations that reveal shifts in trend structure helps organize trend, volatility, and risk context for STRATEGIC ALLOCATION:.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. STRATEGIC ALLOCATION: Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe STRATEGIC ALLOCATION: price patterns.

STRATEGIC ALLOCATION: Technical Analysis Modules

Most technical analysis of STRATEGIC ALLOCATION: 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 STRATEGIC from various momentum indicators to cycle indicators. When you analyze STRATEGIC 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 STRATEGIC ALLOCATION: MODERATE FUND R CLASS

Holdings composition and factor tilts shape how STRATEGIC ALLOCATION: behaves across cycles. The current allocation is approximately 57.0% equities, 8.0% bonds and 8.0% cash. It is classified under Allocation--50% to 70% Equity within the American Century Investments family. Defensive traits reduce macro sensitivity.

Methodology

Unless otherwise specified, data for Strategic Allocation Moderate 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. Strategic Allocation Moderate 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

Strategic Allocation Moderate 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 STRATEGIC ALLOCATION: 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.

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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.