SPYA Twin Oak Endure ETF
Quote as of Sep 08, 2026 20:10 UTC · Market data delayed approximately 15–20 minutes unless otherwise indicated.
| Previous Close | 30.81 | Day Range | 30.62 – 30.62 |
| 52-Week Range | 25.79 – 31.17 | Volume | 10 |
| Avg Volume | 100 | AUM | $134.6M (Sep 10, 2026) |
| Expense Ratio | 0.00% | Yield (TTM) | — |
| NAV | 0 | Premium/Discount | — |
| Inception | Jun 03, 2025 | Holdings | 11 |
| Issuer | — | Exchange | CBOE |
| Category | Active | Index Tracked | Not stated in source data |
| CUSIP | 75526L811 | ISIN | US75526L8110 |
| Management | Actively managed (per issuer description) | ||
About this ETF
SPYA seeks total return through an actively managed US total market equity exposure with a hedge strategy. It gains exposure directly through US equity securities and ETFs or synthetically via derivatives. The fund uses both bottom-up and top-down approaches to construct the portfolio. The bottom-up approach, driven by the fund advisers fundamental research, focuses on individual securities or asset classes, while the top-down approach manages the overall portfolio characteristics and risks. The fund adviser also seeks to implement a hedging strategy utilizing option contracts, swaps, and other derivatives. In addition, the fund may invest its assets in cash and cash equivalents, or money market instruments for temporary defensive purposes in response to adverse market conditions. During such periods, the fund may invest in the Twin Oak Short Horizon Absolute Return for any purpose.
Description from the fund data provider · profile as of Sep 10, 2026.
Price Chart
Daily closing prices (price return, not total return). Comparison lines are normalized to percent change from the range start. Source: Financial Modeling Prep.
Performance
| 1M | 3M | 6M | YTD | 1Y | 3Y* | 5Y* | 10Y* | Incep.* | |
|---|---|---|---|---|---|---|---|---|---|
| Price return | — | — | — | — | — | — | — | — | — |
| Total return | — | — | — | — | — | — | — | — | — |
* Annualized. Total return uses the dividend-adjusted price series (distributions reinvested); price return uses unadjusted closes. Past performance does not guarantee future results.
Fees
| Net expense ratio | 0.00% | Annual cost of a $10,000 investment | $0.00 |
Illustrative calculation only: expense ratio × $10,000. It excludes trading costs, bid/ask spreads, taxes and changes in investment value. Gross vs. net expense details and any fee waivers are in the prospectus.
Holdings
Sector Exposure
Geographic Exposure
Country weights as reported by the data provider. Developed/emerging/frontier labels follow the classification on the Methodology page. Currency hedged: No hedging indicated in the fund name.
Distributions
| Yield (TTM) | — | Paid (last 12 months) | — |
| Frequency | — | SEC yield | Not provided by our data source — see the issuer page |
| Last ex-date | — | Last payment | — |
| Growth 1Y | — | Growth 3Y / 5Y (ann.) | — / — |
No distributions in our database for this fund — it may not pay them, or history has not loaded yet.
Risk Statistics
Liquidity
| Volume today | 10 | Average volume | 100 |
| AUM | $134.6M | Premium/Discount | — |
| Bid/Ask spread | Not provided by our data source. Check your broker's quote screen; spreads are widest at the open and close. | ||
Premium/discount compares the delayed market price with the last reported NAV — an indicative figure, not the official closing premium/discount. How ETF liquidity works →
Official Fund Resources
External links open the issuer's site or SEC EDGAR in a new tab. The prospectus and official documents are always the authoritative source — review them before investing. No official links available from our data source for this fund yet.
Latest News for SPYA
No articles mention this fund directly in the last 7 days — showing general ETF coverage.
Guided help: AUM is fund size. The expense ratio is the yearly cost baked into returns. NAV is the value of what the fund owns per share; the market price can sit slightly above (premium) or below (discount) it. Total return assumes distributions were reinvested. Every dataset shows its own as-of date because holdings, assets and quotes update on different schedules.