JPMorgan Fundamental Data Science Mid Core ETF
Key Statistics
Historical Performance
Total return including reinvested distributions, from adjusted closing prices.
Price History
Price history is being compiled for this fund.
Top Holdings
Top 25 holdings as of Mar 31, 2026 · source: SEC N-PORT. Full holdings & prospectus →
About MCDS
Under normal circumstances, the Fund invests at least 80% of its Assets in equity securities of mid cap companies. “Assets” means net assets, plus the amount of borrowings for investment purposes. Mid cap companies are companies with market capitalizations similar to those within the universe of the Russell Midcap® Index, the Fund’s benchmark, at the time of purchase. As of June 28, 2024, the market capitalizations of the companies in the Russell Midcap® Index ranged from $167 millionto $81.6 billion. The adviser chooses the Fund’s equity securities so that the overall portfolio has similar growth and value characteristics to its benchmark. While the Fund invests in securities that have growth and value characteristics, the portfolio is not focused on either type of securities, and the Fund is considered a core portfolio. The Fund may also invest in real estate investment trusts (REITs).Derivatives, which are instruments that have a value based on another instrument, exchange rate or index, may be used as substitutes for securities in which the Fund can invest. To the extent the Fund uses derivatives, the Fund will primarily use futures contracts to more effectively gain targeted equity exposure from its cash positions.The Fund will not invest more than 25% of the value of its total assets in the securities of companies conducting their principal business activities in the same industry, except that, to the extent that an industry represents 20% or more of the Fund’s benchmark at the time of investment, the Fund may invest up to 35% of its total assets in that industry.Many of the equity securities in the Fund's portfolio are securities of companies in the financials, industrials and consumer discretionary sectors.Investment Process: In managing the Fund, the adviser employs a fundamental data science enabled investment approach that combines research, data insights, and risk management. The adviser defines data science as the discipline of extracting useful insights from collections of information, and the adviser utilizes the insights as a part of its investment process. The adviser utilizes proprietary techniques to process, analyze, and combine a wide variety of information, including the adviser’s multi-decade history of proprietary fundamental research, company financial statements, and a variety of other data sources that the adviser finds relevant to conducting fundamental analysis. The adviser combines insights derived from these sources to forecast the financial prospects of each security, also known as fundamental analysis. Alongside its own insights, the Fund’s portfolio management team uses the forecasts developed through data science techniques to help to identify securities that are priced favorably relative to their associated levels of risk. The Fund’s portfolio management team then constructs a portfolio that seeks to maximize expected future financial performance while controlling for key risks to the underlying companies’ businesses identified by the adviser’s analysis. The adviser assesses key risks by analyzing potential events or conditions that may have a negative impact on the adviser’s valuation of a particular security. Such key risks may include, but are not limited to, sensitivity to changes in macroeconomic conditions, competitive risks from existing companies or new entrants, and operational risks related to the companies’ business models. The adviser continuously evaluates the efficacy of the sources of information included within the investment process, and seeks to identify new data sources that will be additive to the adviser’s forecasts and portfolio construction.As part of its investment process, the adviser seeks to assess the impact of environmental, social and governance (ESG) factors on many issuers in the universe in which the Fund may invest. The adviser’s assessment is based on an analysis of key opportunities and risks across industries to seek to identify financially material issues with respect to the Fund’s investments in securities and ascertain key issues that merit engagement with issuers. These assessments may not be conclusive, and securities of issuers that may be negatively impacted by such factors may be purchased and retained by the Fund, while the Fund may divest or not invest in securities of issuers that may be positively impacted by such factors.The adviser may sell a security for several reasons. A security may be sold due to a change in the company’s fundamentals or if the adviser believes the security is no longer attractively valued relative to its associated levels of risk. Investments may also be sold if the adviser identifies a stock that it believes offers a better investment opportunity.
MCDS News
- JPMorgan Fundamental Data Science Mid Core ETF (NASDAQ:MCDS) Short Interest Up 758.6% in July
- JPMorgan Fundamental Data Science Mid Core ETF (NASDAQ:MCDS) Trading 0% Higher – Time to Buy?
- Trading the Move, Not the Narrative: (MCDS) Edition
- (MCDS) Volatility Zones as Tactical Triggers
- Price-Driven Insight from (MCDS) for Rule-Based Strategy
- Ellucian Announces Partnership with MortarCAPS to Advance Global Higher Education Data Standards
Data for MCDS is aggregated from third-party providers (Tiingo, Nasdaq, Finnhub) and SEC filings, may be delayed at least 20 minutes, and may be incomplete or contain errors. Nothing here is investment advice. Verify with the official prospectus before investing.