Tidal ETF Trust ETF Profile
| SHRT ETF | 6.62 -0.05 -0.75% |
Performance 0High 0 · Weak | NAV Risk Level HighLow 9 · Low |
One Year Return -18.30 | Etf Asset Type Equity | Category Trading--Inverse Equity | Three Year Return -5.60 | Total Assets 16.39 million |
| 0.85 | SH | ProShares Short SAMPP500 | PairCorr |
| 0.85 | PSQ | ProShares Short QQQ | PairCorr |
| 0.85 | SPXU | ProShares UltraPro Short | PairCorr |
| 0.85 | SDS | ProShares UltraShort SAMPP500 | PairCorr |
| 0.85 | SPXS | Direxion Daily SAMPP | PairCorr |
| 0.87 | QID | ProShares UltraShort QQQ | PairCorr |
Geographic Allocation (%)
ETF Notable Updates
| Legal Name | Tidal ETF Trust |
| Thematic Ideas | (View all Themes) |
| Business Concentration | Size And Style ETFs, Large & Mid Caps ETFs, Trading--Inverse Equity, (View all Sectors) |
Additional ETF Information
| Issuer | Tidal ETF Services |
| Inception Date | 2023-11-06 |
| Entity Type | Regulated Investment Company |
| Asset Under Management | 16.77 million |
| Asset Type | Equity |
| Category | Size and Style |
| Focus | Large & Mid Caps |
| Market Concentration | Developed Markets |
| Region | North America |
| Administrator | Tidal ETF Services, LLC |
| Advisor | Tidal Investments, LLC |
| Custodian | U.S. Bank, N.A. |
| Distributor | Foreside Fund Services, LLC |
| Portfolio Manager | Joel Greenblatt, Robert Goldstein, Michael Venuto, Charles Ragauss |
| Transfer Agent | U.S. Bancorp Fund Services, LLC |
| Fiscal Year End | 30-Sep |
| Exchange | NYSE Arca, Inc. |
| Number of Constituents | 822 |
| Market Maker | Susquehanna |
| Total Expense | 1.36 |
| Management Fee | 1.35 |
| Country Name | USA |
| Returns Y T D | -14.51 |
| Name | Tidal ETF Trust |
| Currency Code | USD |
| Open Figi | BBG01K0WPWV1 |
| In Threey Volatility | 12.47 |
| 1y Volatility | 14.09 |
| 200 Day M A | 7.3822 |
| 50 Day M A | 7.1205 |
| Code | SHRT |
| Updated At | 8th of May 2026 |
| Currency Name | US Dollar |
| In Threey Sharp Ratio | -0.72 |
| Type | ETF |
Currency Exposure
Common Risk Profiles
| Mean Deviation | 0.8644 | |||
| Standard Deviation | 1.15 | |||
| Variance | 1.32 | |||
| Risk Adjusted Performance | -0.10 |
Technical Analysis
Transformation |
Tidal ETF Trust Against Markets
| NYA | 0.30 | ||||
| SHRT | 0.75 |
| Competition | Compare Correlations |
Investor Insights and Alerts
| Tidal ETF Trust generated a negative expected return over the last 90 days | |
| The fund created three year return of -6.0% |
Thematic Classifications
![]() | Size And Style ETFsUSA ETFs from Size And Style classification | |
![]() | Large & Mid Caps ETFsUSA ETFs from Large & Mid Caps classification |
Top Tidal ETF Trust ETF Constituents
Predictive Daily Indicators
Forecast Models
Forecasting applied to Tidal ETF Trust in the Trading--Inverse Equity space draws on price structure and volatility patterns. Over three years, Tidal ETF returned -5.6%. The practical edge is understanding when the confidence interval is narrow versus wide. For Tidal ETF, comparing forecast dispersion across methods highlights periods of higher uncertainty.ETF Overview, Methodology & Data Sources
Methodology
Unless otherwise specified, data for Tidal ETF Trust is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Tidal ETF Trust market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. All analytics presented are generated using Macroaxis quantitative models that incorporate financial statement analysis, market data, and risk metrics to ensure consistency and comparability. NAV-based valuation for Tidal ETF Trust is typically interpreted alongside premium/discount metrics and tracking difference relative to the stated benchmark. Assumptions: Information for Tidal ETF Trust is compiled from public fund disclosures, holdings reports, and market data feeds and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Reporting latency may occur in some cases. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
Tidal ETF Trust may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
