Aqr Diversified Arbitrage Fund Math Operators Price Series Multiplication

QDARX Fund  USD 12.90  -0.01  -0.08%   
Use the math operators workspace to apply Price Series Multiplication operator and other studies to AQR DIVERSIFIED and Aqr Long Short Equity. The focus on relative price relationships between AQR DIVERSIFIED and Aqr Long Short Equity helps organize trend, volatility, and risk context for AQR DIVERSIFIED and Aqr Long Short Equity.

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. Aqr Diversified Arbitrage Price Series Multiplication is a cross multiplication of AQR DIVERSIFIED price series and its benchmark/peer.

AQR DIVERSIFIED Technical Analysis Modules

Most technical analysis of AQR DIVERSIFIED 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 AQR from various momentum indicators to cycle indicators. When you analyze AQR 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

Holdings composition and factor tilts shape how AQR DIVERSIFIED behaves across cycles. The current allocation is approximately 16.0% equities and 24.0% cash. It is classified under Relative Value Arbitrage within the AQR Funds family. Price movements may be comparatively less responsive to macroeconomic volatility.

Methodology

Unless otherwise specified, data for Aqr Diversified Arbitrage 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. Aqr Diversified Arbitrage market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Datasets used in this report incorporate public fund disclosures, holdings reports, and market data feeds and official institutional disclosures, including U.S. Securities and Exchange Commission (SEC) via EDGAR. Information may be standardized across formats and may reflect delayed updates. 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

Aqr Diversified Arbitrage 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:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board

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Tracking AQR DIVERSIFIED 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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