MicroSectors Energy -3X Inverse Leveraged ETNs
The notes are designed to reflect a 3x leveraged inverse exposure to the inverse performance of the index on a daily basis, before taking into account the negative effect of the Daily Investor Fee, any negative Daily Interest, and the Redemption Fee Amount, if applicable. However, due to daily resetting leverage, the returns on the notes over different periods of time can, and most likely will, differ significantly from three times the return on a direct short investment in the index.
| Name | Cumulative Return | Ann. Return | Ann. Vol | Sharpe | Max DD |
|---|---|---|---|---|---|
MicroSectors Energy -3X Inverse Leveraged ETNs | -78.2% | -78.2% | 72.5% | -1.13 | -82.8% |
ETF performance based on market prices. Drag on chart to select period. Sharpe Ratio uses the one-month T-bill as the risk-free rate. From 10/7/2025 to 10/7/2026.
Name | YTD | 1D | 5D | 1M | 3M | 6M | 1Y | 2Y | 3Y | 5Y | MAX |
|---|---|---|---|---|---|---|---|---|---|---|---|
MicroSectors Energy -3X Inverse Leveraged ETNs | -78.0% | -0.8% | -12.7% | -7.1% | -51.2% | -41.0% | -78.2% | -59.4% | -52.2% | -47.9% |
ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.
Name | 2023 | 2024 | 2025 | YTD |
|---|---|---|---|---|
MicroSectors Energy -3X Inverse Leveraged ETNs | -17.1%* | -7.9% | -44.5% | -78.0% |
* partial year — the series ran for only part of it (its first year, or the year it closed); the figure is the return over the part it did run. ETF performance based on market prices. As of 10/7/2026.
Select a second series, or to correlate with the seven research factors.
Name | Ann. α | β MKT | β SMB | β HML | β RMW | β CMA | β UMD | β iHML | R² | Obs |
|---|---|---|---|---|---|---|---|---|---|---|
WTIDUS MicroSectors Energy -3X Inverse Leveraged ETNs | -113.1% | 0.24 | 1.46* | -2.54** | 0.90 | -0.15 | 0.42 | 0.18 | 0.16 | 226 |
ETF performance based on market prices. US factor set. Daily OLS of excess return (fund − T-bill) on factor spread returns over the selected date range, intersected with each series' history. Bold with * |t| ≥ 1.96, ** |t| ≥ 2.58. Cell shading tracks each loading's t-stat. Betas are returns-based — compare with the holdings-based factor scores below. Factor returns are long-short spread returns (© Ken French, Dartmouth). From 10/7/2025 to 8/31/2026.
The notes are designed to reflect a 3x leveraged inverse exposure to the inverse performance of the index on a daily basis, before taking into account the negative effect of the Daily Investor Fee, any negative Daily Interest, and the Redemption Fee Amount, if applicable. However, due to daily resetting leverage, the returns on the notes over different periods of time can, and most likely will, differ significantly from three times the return on a direct short investment in the index.
MethodologyExpense ratio from the sponsor's website. Turnover from market data (10/6/2026). Yield as of 10/6/2026, AUM 9/30/2026. Summary may be from an older prospectus.
WTID has no stock-level metrics. Fund-level metrics such as AUM and expense ratio are available in the picker.
Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Solid blue dots mark the fund's position within the clean equity fund universe (5th–95th percentile scale); the shaded band spans the fund's broad class (Inverse Funds) 25th–75th percentile, notched at the median. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.
Metric | WTID MicroSectors Energy -3X Inverse Leveraged ETNs | Peer Group 188 funds | Peer Asset Class 221 funds |
|---|---|---|---|
YTD Return | -78.01% | -23.88%11 | -21.64%9 |
1Y Return | -78.22% | -23.92%6 | -20.01%6 |
3Y Return (Ann.) | -52.21% | -26.68%15 | -26.23%15 |
5Y Return (Ann.) | - | - | - |
Expense Ratiohigher = cheaper | 0.95% | 1.02%63 | 1.00%58 |
Sparkline's own holdings-based peer taxonomy (233 share classes across 188 funds). One share class shown per fund — the exchange-listed class where the SEC series has one, else its longest-history class; percentile ranks and medians are computed against the same deduped set. Quartile chips fill the layer the fund's rank falls in (top layer = best quartile). Funds without a full return history rank only on the horizons they cover.
Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.
| Fund | Peer Group | ||||
|---|---|---|---|---|---|
| 1 | ERY Direxion Daily Energy Bear 2X Shares Inverse - Equity | Inverse - Equity | 50 | - | - |
| 2 | DUG ProShares UltraShort Energy Inverse - Equity | Inverse - Equity | 50 | - | - |
| 3 | DRIP Direxion Daily S&P Oil & Gas Exp. & Prod. Bear 2X Shares Inverse - Other | Inverse - Other | 47 | - | - |
| 4 | SNPIX SHORT ENERGY PROFUND Inverse - Equity | Inverse - Equity | 47 | - | - |
| 5 | TAIL Cambria Tail Risk ETF Alts - Long Volatility | Alts - Long Volatility | 6 | - | - |
| 6 | PCCRX PIMCO Credit Opportunities Bond Fund Fixed Income - Unconstrained | Fixed Income - Unconstrained | 6 | - | - |
| 7 | GBOAX JPMorgan Global Bond Opportunities Fund Fixed Income - Global (Hedged) | Fixed Income - Global (Hedged) | 5 | - | - |
| 8 | HRSAX Rational Premium Income Fund Options - Income | Options - Income | 4 | - | - |
| 9 | PGSAX PIMCO Global Advantage Strategy Bond Fund Fixed Income - Core | Fixed Income - Core | 4 | - | - |
| 10 | JIGDX Opportunistic Fixed Income Fund Fixed Income - Unconstrained | Fixed Income - Unconstrained | 4 | - | - |
The method columns are members-only — create a free account to see these figures.
MethodologyRows are the consensus top matches (a fund must place in at least two methods' top 250 to qualify, and matches missing more than one of this fund's own methods are not ranked — a row scored on fewer methods is a noisier estimate, not a better match). Click a method column to see that method's own top matches across the whole universe instead. Gray (N) beside each method's metric is that fund's rank in the whole universe on that method. Similarity is a percentile among match-grade fund pairs, 0–100 — 87 means the pair is closer than 87% of the strongest matches in the universe, averaged across the methods — so it compares across funds: index clones tie at the top with thousands of other clone pairs, so scores top out in the high 80s to 90s, while a one-of-a-kind fund's best match can score in the 30s. Rows are ordered by the Consensus Rank — the geometric mean of those universe ranks, shown in each cell's tooltip — and the score is held down the list to the level of the closest match above it, so equal scores mean equally close and the number reads as a floor. A dash means that method has no figure for the pair at all (one of them lacks the holdings or return history it needs). Hover a column header for each method's definition. The “Top…” strips above compare against every fund's own top match across the whole universe (they deliberately don't follow the Peer Universe selector); Top Similarity is simply the best match's score, with no reference band; the Holdings and Active Tilt strips carry no reference band because computing every fund's best book overlap would require a full holdings scan per fund — the dot stands alone on its natural 0–100% scale. One share class shown per fund, and a fund's own sister share classes are excluded from its Top-match strips. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). Return Correlation = correlation of market-hedged daily returns over the trailing two years (CAPM residuals), so only market-beta co-movement is removed; requires ~18 months of daily history (378 of the window's 504 trading days). Fama-French Similarity = 1/(1+d), where d is the Euclidean distance between factor betas (market, size, value, profitability, investment, momentum, intangible value) from up to three years of daily returns (min 378 daily observations and regression R² of at least 0.25); 1.00 = identical loadings.