MCDS
JPMorgan Fundamental Data Science Mid Core ETF
Price Chart
Latest Quote
$67.06
+1.30 (+1.97%)
Current Price
| Previous Close | $65.76 |
| Open | $67.06 |
| Day High | $67.06 |
| Day Low | $67.06 |
| Volume | 19 |
Fund Information
| Quarterly Dividend / Yield | N/A / 1.08% |
| Net Assets | $7.84M |
| Expense Ratio | 0.35% |
| Category | Mid-Cap Blend |
| Fund Family | JPMorgan |
| Net Asset Value | $66.58 |
| Premium/Discount | 0.72% |
| Quarterly Dividend Yield | 1.08% |
| P/E Ratio | 24.86 |
| Exchange | NGM |
đ ETF Analysis
Company Data
Financial Ratios
Returns & Margins
Ownership
| Insider & Institutional transactions data not available |
Valuation Ratios
Analyst Data
Technical Indicators
| SMA20 | $65.90 |
| SMA50 | $64.54 |
| SMA200 | $60.32 |
| RSI | 57.34 |
| ATR | 0.5816 |
| Rel Volume | 0.83 |
Performance History
| Week | +0.18% |
| Month | +4.11% |
| Quarter | +12.99% |
| 6 Months | +14.19% |
| YTD | +13.90% |
| Year | +23.21% |
| 10 Years | +22.65% |
ETF Scoring Not Available
Exchange-traded funds (ETFs) are not scored using our fundamental analysis metrics, as they represent baskets of securities rather than individual companies.
Recent Price History
| Date | Close | Volume |
|---|---|---|
| 2026-06-24 | $67.06 | 100 |
| 2026-06-23 | $66.63 | 100 |
| 2026-06-22 | $67.25 | 100 |
| 2026-06-18 | $66.81 | 100 |
| 2026-06-17 | $66.30 | 100 |
| 2026-06-16 | $66.94 | 100 |
| 2026-06-15 | $67.00 | 100 |
| 2026-06-12 | $66.33 | 100 |
| 2026-06-11 | $65.72 | 500 |
| 2026-06-10 | $64.43 | 100 |
| 2026-06-09 | $65.34 | 100 |
| 2026-06-08 | $64.90 | 100 |
| 2026-06-05 | $64.99 | 100 |
| 2026-06-04 | $66.15 | 100 |
| 2026-06-03 | $65.86 | 100 |
| 2026-06-02 | $65.95 | 100 |
| 2026-06-01 | $65.24 | 100 |
| 2026-05-29 | $65.12 | 100 |
| 2026-05-28 | $65.08 | 100 |
| 2026-05-27 | $64.88 | 100 |
| 2026-05-26 | $65.05 | 100 |
About JPMorgan Fundamental Data Science Mid Core ETF
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.
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