Commodity Return Strategy Fund Quote

CCRSX Fund  USD 23.86  -0.47  -1.93%   
The fund is designed to achieve positive total return relative to the performance of the Bloomberg Commodity Index Total Return . Credit Suisse is traded on NASDAQ Exchange in the United States. Volume of about 1 shares indicates limited liquidity. It falls under the Commodities Broad Basket category.
Performance
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Odds Of Distress
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Low
COMMODITY RETURN holds a current market valuation of $23.86 as of March 16, 2026, delivering 1.93% down on the day. Forward-looking probability metrics estimate that COMMODITY RETURN carries 12% odds of experiencing financial distress. Over the last 90 trading days, it has demonstrated strong risk-adjusted performance. The performance scores are computed for the period from December 16, 2025 through March 16, 2026. Learn more.

Moving together with COMMODITY Mutual Fund

  1.0PCRIX CommodityrealreturnPairCorr
  1.0PCRRX CommodityrealreturnPairCorr
  1.0PCRPX PIMCO ModityrealreturnPairCorr
  1.0PCSRX CommodityrealreturnPairCorr
  0.96PCPCX PIMCO COMMODITIESPLUS Steady GrowthPairCorr
  0.96PCLNX PIMCO Commoditiesplus Steady GrowthPairCorr

Mutual Fund Highlights

Commodity Return Strategy [CCRSX] is traded in USA. The fund is listed under the Commodities Broad Basket category and is part of the Credit Suisse (New York, NY) family. This fund currently has accumulated 429.14 M in assets under management (AUM) with no minimum investment requirements. Commodity Return Strategy is currently producing a year-to-date (YTD) return of 17.39%, while the total return for the last 3 years is 11.56%.
COMMODITY RETURN financial stability analysis

Instrument Allocation

Notable Updates

Fund ConcentrationCommodities Funds, Commodities Broad Basket, Credit Suisse (New York, NY) (View all Sectors)
Update Date31st of March 2026

Top Holders

CCRSXCommodity Return StrategyMutual FundCommodities Broad Basket
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Common Risk Profiles

Commodity Return Strategy Against Markets

Mutual Fund Analysis Notes

The fund generated a five-year return of 12.0%. Commodity Return Strategy holds about 77.21% of assets under management (AUM) in fixed income securities. This fund's last dividend was $0.19 per share. Commodity Return Strategy (CCRSX) recorded $614.4 million in Total Assets and $429.1 million in Net Assets.

Investor Insights and Alerts

A concise alert layer for Commodity Return Strategy can improve discipline because it turns scattered risk signals into a more reviewable checklist. The strongest alert framework is one that makes risk easier to acknowledge before the market fully reprices it.
The fund generated-6.0 ten year return of -6.0%
Commodity Return Strategy holds about 77.21% of its assets under management (AUM) in fixed income securities

Top Commodity Return Strategy Mutual Fund Constituents

Institutional Mutual Fund Holders for COMMODITY RETURN

Ownership mix should still be evaluated through filings, holder turnover, and governance disclosures. Revenue scale should be reviewed against peers and reporting history. How that holder base reacts to earnings changes can move Commodity Return Strategy in the short term. The business currently sits in the Commodities Funds sector and the its industry. Watching Commodity Return Strategy holder turnover alongside earnings revisions adds depth to the ownership view.
CCRSXCommodity Return StrategyMutual FundCommodities Broad Basket
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Market-cap data should still be cross-checked with revenue, debt, and cash-flow quality. Institutional context for Commodity Return Strategy matters most alongside valuation and volatility. The current classification points to the Commodities Broad Basket category. Reading Commodity Return Strategy holder concentration alongside float turnover and volatility trends adds the most context.

Outstanding Bonds

Predictive Daily Indicators

Short-horizon indicators in Commodity Return Strategy are useful because they translate fast-changing price behavior into clearer risk and execution cues. For most traders, the advantage is faster feedback on market participation and momentum, which can sharpen both entries and exits.

Forecast Models

Quantitative forecast tools for Commodity Return Strategy focus on patterns in observed data, which makes them especially useful when the market is moving faster than traditional bottom-up research can refresh. The practical edge is usually not the forecast itself, but the ability to recognize when the data is becoming less predictable.

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 12.0%.

Methodology

Unless otherwise specified, data for Commodity Return Strategy 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. Commodity Return Strategy market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: This report is built using public fund disclosures, holdings reports, and market data feeds and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Normalization for analytical consistency may introduce small 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

Commodity Return Strategy 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:

Rifka Kats - Member of Macroaxis Editorial Board
Last reviewed on February 28th, 2026