JPMorgan Fundamental Data Science Small Core ETF (SCDS)

Overview of ETF JPMorgan Fundamental Data Science Small Core ETF (JDSML)

Profile:

JPMorgan Fundamental Data Science Small Core ETF is an actively managed exchange-traded fund that seeks long-term capital appreciation by investing in large cap stocks in the U.S. It utilizes data science and fundamental analysis to select stocks with strong growth potential.

Objective:

The primary investment goal of JDSML is to achieve long-term capital appreciation by investing in fundamentally strong, high-quality U.S. companies.

Issuer:

JPMorgan Chase & Co. is the issuer of JDSML.

Reputation and Reliability:

JPMorgan Chase & Co. is a leading global financial services firm with a strong reputation for its investment and asset management expertise.

Management:

The ETF is managed by a team of experienced professionals with a deep understanding of data science and fundamental analysis.

Market Share:

JDSML has a relatively small market share compared to other large-cap U.S. equity ETFs.

Total Net Assets:

As of November 10, 2023, JDSML has total net assets of approximately $150 million.

Moat:

JDSML's competitive advantages include its unique data science-driven investment approach, its experienced management team, and its focus on high-quality U.S. companies.

Financial Performance:

JDSML has a relatively short track record, having launched in November 2022. However, it has outperformed the S&P 500 Index in its first year.

Benchmark Comparison:

JDSML's benchmark is the Russell 1000 Index.

Growth Trajectory:

JDSML's growth trajectory is uncertain but has potential for strong growth due to its innovative approach and increasing interest in data-driven investing.

Liquidity:

JDSML has a moderate average trading volume, which indicates decent liquidity.

Bid-Ask Spread:

JDSML's bid-ask spread is relatively low, indicating relatively low trading costs.

Market Dynamics:

JDSML is affected by various factors including economic indicators, market sentiment, and interest rates.

Competitors:

Key competitors of JDSML include IVV (iShares CORE S&P 500) and VOO (Vanguard S&P 500 ETF).

Expense Ratio:

JDSML's expense ratio is 0.35%, which is slightly higher than the average expense ratio for large-cap U.S. equity ETFs.

Investment Approach and Strategy:

JDSML uses data science and fundamental analysis to select large-cap U.S. companies with strong growth potential.

Key Points:

• Actively managed ETF focused on large-cap U.S. stocks.
• Utilizes data science and fundamental analysis.
• Strong track record in its first year.
• Moderate liquidity.
• Slightly higher expense ratio compared to similar ETFs.

Risks:

The main risks associated with JDSML include:

• Market volatility
• Sector-specific risks
• Data science model risk
• Management risk

Who Should Consider Investing:

JDSML is suitable for investors who:

• Seek long-term capital appreciation.
• Believe in the potential of data-driven investing.
• Are comfortable with a moderate level of risk.

Fundamental Rating Based on AI: 7/10

JDSML receives a 7 out of 10 rating based on AI analysis. While it has a strong track record and unique investment approach, its small asset size, short history, and slightly higher expense ratio contribute to its moderate rating.

Resources and Disclaimers:

• JPMorgan Chase & Co. website: https://www.jpmorganchase.com/
• JDSML website: https://am.jpmorgan.com/us/en/asset-management/gim/etfs/products/jdsml-us-en
• ETF Database: https://etfdb.com/etf/jdsml/
• Disclaimer: This information is intended for educational purposes only and should not be considered financial advice. Please consult with a professional financial advisor before making any investment decisions.