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JPMorgan Fundamental Data Science Mid Core ETF (MCDS)

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Upturn Advisory Summary
10/24/2025: MCDS (1-star) is currently NOT-A-BUY. Pass it for now.
Analysis of Past Performance
Type ETF | Historic Profit -4.23% | Avg. Invested days 39 | Today’s Advisory PASS |
Upturn Star Rating ![]() | Upturn Advisory Performance | ETF Returns Performance |
Key Highlights
Volume (30-day avg) - | Beta - | 52 Weeks Range 46.12 - 59.59 | Updated Date 06/28/2025 |
52 Weeks Range 46.12 - 59.59 | Updated Date 06/28/2025 |
Upturn AI SWOT
JPMorgan Fundamental Data Science Mid Core ETF
ETF Overview
Overview
The JPMorgan Fundamental Data Science Mid Core ETF (JPME) seeks to provide investment results that closely correspond to the performance of a mid-cap equity benchmark that is constructed using a fundamental, data science-driven approach. It focuses on US mid-cap stocks.
Reputation and Reliability
JPMorgan is a well-established and reputable financial institution with a long history in asset management.
Management Expertise
JPMorgan has a large and experienced team of investment professionals, including data scientists and fundamental analysts.
Investment Objective
Goal
To provide investment results that closely correspond to the performance of a mid-cap equity benchmark constructed using a fundamental, data science-driven approach.
Investment Approach and Strategy
Strategy: The ETF employs a data-driven strategy to identify and invest in companies with strong fundamental characteristics.
Composition The ETF primarily holds stocks of mid-capitalization US companies.
Market Position
Market Share: Information not readily available for a precise market share in the mid-cap fundamental ETF segment.
Total Net Assets (AUM): 48620000
Competitors
Key Competitors
- RFDA
- DSI
- OMFL
Competitive Landscape
The competitive landscape includes various mid-cap ETFs, some tracking specific indices, and others using different investment strategies. JPME differentiates itself through its data science-driven fundamental approach. The advantages include the potential for outperformance due to its active stock selection process, while disadvantages include higher expense ratio and potential tracking error.
Financial Performance
Historical Performance: Historical performance data needs to be sourced from financial data providers.
Benchmark Comparison: Benchmark comparison requires historical performance data and a defined benchmark.
Expense Ratio: 0.29
Liquidity
Average Trading Volume
The ETF has an average daily trading volume that fluctuates, but it is liquid enough for many investors.
Bid-Ask Spread
The typical bid-ask spread is narrow, ensuring relatively low trading costs.
Market Dynamics
Market Environment Factors
Economic indicators, sector-specific growth, and overall market sentiment influence the performance of JPME. Factors like interest rates, inflation, and regulatory changes could also affect the mid-cap segment.
Growth Trajectory
The growth trajectory is tied to the success of its data-driven stock selection process and the performance of the mid-cap equity market. Changes in strategy and holdings will be influenced by the data analysis.
Moat and Competitive Advantages
Competitive Edge
JPME's competitive edge lies in its blend of fundamental analysis and data science to select mid-cap stocks. This quantitative approach aims to identify companies with strong growth potential that may be overlooked by traditional analysts. The data science component enables the fund to analyze a large amount of data quickly and efficiently. JPMorgan's reputation and resources also contribute to its advantages in the ETF market.
Risk Analysis
Volatility
Volatility depends on the underlying holdings and market conditions. Data is required to assess JPME's historical volatility.
Market Risk
JPME is subject to market risk, particularly associated with mid-cap equities, including economic downturns, sector-specific challenges, and regulatory changes.
Investor Profile
Ideal Investor Profile
The ideal investor is one seeking mid-cap equity exposure with a tilt towards fundamentally strong companies identified through data science. Investors seeking capital appreciation and willing to accept moderate risk are appropriate.
Market Risk
JPME is suitable for long-term investors seeking growth potential through mid-cap equities with the benefit of a data-driven approach to stock selection.
Summary
The JPMorgan Fundamental Data Science Mid Core ETF offers a unique investment approach to the mid-cap market, blending fundamental analysis with data science to identify strong companies. While it may offer potential for outperformance, the expense ratio is a key consideration. This ETF is suited for long-term investors willing to accept moderate risk for capital appreciation. The fund's success depends on the efficacy of its data-driven stock selection process and the overall performance of the mid-cap equity market.
Peer Comparison
Sources and Disclaimers
Data Sources:
- JPMorgan Asset Management Website
- ETF.com
- Morningstar
Disclaimers:
The data provided is for informational purposes only and should not be considered investment advice. Investors should conduct their own research and consult with a financial advisor before making any investment decisions.
AI Summarization is directionally correct and might not be accurate.
Summarized information shown could be a few years old and not current.
Fundamental Rating based on AI could be based on old data.
AI-generated summaries may have inaccuracies (hallucinations). Please verify the information before taking action.
About JPMorgan Fundamental Data Science Mid Core ETF
Exchange NASDAQ | Headquaters - | ||
IPO Launch date - | CEO - | ||
Sector - | Industry - | Full time employees - | Website |
Full time employees - | Website | ||
Under normal circumstances, the fund invests at least 80% of its assets in equity securities of mid cap companies. Many of the equity securities in the fund's portfolio are securities of companies in the financials, industrials and consumer discretionary sectors. In managing the fund, the adviser employs a fundamental data science enabled investment approach that combines research, data insights, and risk management.

Note: This website is maintained by Upturn Corporation, which is an investment adviser registered with the U.S. Securities and Exchange Commission. Such registration does not imply a certain level of skill or training. Investing in securities has risks. Past performance is no guarantee of future returns. No assurance is provided as to any particular investment return, and you may lose money using our services. You are strongly advised to consult appropriate counsel before making any investments in companies you learn about through our services. You should obtain appropriate legal, tax, investment, accounting, and other advice that takes into account your investment portfolio and overall financial situation. You are solely responsible for conducting due diligence on a potential investment. We do not affect trades for you. You will select your own broker through which to transact. Investments are not FDIC insured, they are not guaranteed, and they may lose value. Please see the Privacy Policy, Terms of Use, and Disclosure for more information.
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