MKTN
Federated Hermes MDT Market Neutral ETF
Price Chart
Latest Quote
$28.59
-0.03 (-0.10%)
Current Price
| Previous Close | $28.62 |
| Open | $28.64 |
| Day High | $28.65 |
| Day Low | $28.55 |
| Volume | 68,513 |
Fund Information
| Quarterly Dividend / Yield | N/A / 0.23% |
| Net Assets | $144.42M |
| Expense Ratio | 1.94% |
| Category | Equity Market Neutral |
| Fund Family | Federated |
| Net Asset Value | $28.59 |
| Premium/Discount | 0.00% |
| Quarterly Dividend Yield | 0.23% |
| P/E Ratio | 19.37 |
| Exchange | PCX |
π ETF Analysis
Company Data
Financial Ratios
Returns & Margins
Ownership
| Insider & Institutional transactions data not available |
Valuation Ratios
Analyst Data
Technical Indicators
| SMA20 | $28.31 |
| SMA50 | $27.95 |
| SMA200 | $26.42 |
| RSI | 78.79 |
| ATR | 0.2518 |
| Rel Volume | 0.90 |
Performance History
| Week | +0.14% |
| Month | +2.14% |
| Quarter | +5.81% |
| 6 Months | +11.73% |
| YTD | +12.16% |
| Year | +16.98% |
| 10 Years | +15.38% |
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 |
|---|---|---|
| 2026-10-27 | $28.59 | 68,500 |
| 2026-10-26 | $28.62 | 20,600 |
| 2026-10-23 | $28.48 | 267,800 |
| 2026-10-22 | $28.49 | 125,200 |
| 2026-10-21 | $28.58 | 93,700 |
| 2026-10-20 | $28.55 | 35,400 |
| 2026-10-19 | $28.49 | 52,700 |
| 2026-10-16 | $28.48 | 73,500 |
| 2026-10-15 | $28.51 | 87,700 |
| 2026-10-14 | $28.51 | 87,500 |
| 2026-10-13 | $28.36 | 131,700 |
| 2026-10-12 | $28.27 | 57,100 |
| 2026-10-09 | $28.16 | 38,000 |
| 2026-10-08 | $28.21 | 102,000 |
| 2026-10-07 | $28.02 | 108,300 |
| 2026-10-06 | $28.01 | 23,300 |
| 2026-10-05 | $28.02 | 21,700 |
| 2026-10-02 | $28.00 | 41,400 |
| 2026-10-01 | $27.97 | 30,900 |
| 2026-09-30 | $27.91 | 51,500 |
| 2026-09-29 | $27.96 | 24,900 |
| 2026-09-28 | $27.99 | 37,800 |
About Federated Hermes MDT Market Neutral ETF
The fund manager seeks to achieve its objective by selecting long positions in publicly traded common stocks which the fundβs quantitative model predicts will achieve above-market returns, and short positions in publicly traded common stocks which the fundβs quantitative model predicts will achieve below-market returns.
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