Defiance 2x Daily Long Pure Quantum ETF
The fund invests at least 80% of net assets in derivatives designed to provide 2X the daily performance of a portfolio of Pure Quantum Companies, which derive at least 50% of revenue from quantum computing or machine learning activities. The portfolio typically consists of four to ten large-cap U.S. companies, selected based on their core quantum activities, industry leadership, and emerging potential, with daily rebalancing to maintain equal weighting among holdings. The fund employs swap agreements and listed options to achieve its leveraged exposure.
| Name | Cumulative Return | Ann. Return | Ann. Vol | Sharpe | Max DD |
|---|---|---|---|---|---|
Defiance 2x Daily Long Pure Quantum ETF | -94.4% | -94.4% | 184.6% | -0.53 | -95.3% |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Defiance 2x Daily Long Pure Quantum ETF | -76.0% | -8.0% | -11.4% | -14.9% | -44.9% | -19.4% | -94.4% | -74.8% |
ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.
Name | 2025 | YTD |
|---|---|---|
Defiance 2x Daily Long Pure Quantum ETF | -15.9%* | -76.0% |
* 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 |
|---|---|---|---|---|---|---|---|---|---|---|
QPUXUS Defiance 2x Daily Long Pure Quantum ETF | -151.6% | 3.65** | 2.34** | -2.34 | -5.93** | -0.09 | -1.12* | -2.51** | 0.51 | 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 fund invests at least 80% of net assets in derivatives designed to provide 2X the daily performance of a portfolio of Pure Quantum Companies, which derive at least 50% of revenue from quantum computing or machine learning activities. The portfolio typically consists of four to ten large-cap U.S. companies, selected based on their core quantum activities, industry leadership, and emerging potential, with daily rebalancing to maintain equal weighting among holdings. The fund employs swap agreements and listed options to achieve its leveraged exposure.
MethodologyExpense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (8/24/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.
Not scored — QPUX’s holdings don’t clear the coverage floor for composite factor scores.
None of the selected metrics are scored for QPUX — switch the picker to All, or add metrics under Metrics (top right).
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 (Leveraged Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.
Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.
Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.
Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 31% of net assets) — they are not portfolio weights. Company size bands by holding market cap: Mega >$500B, Large $70–500B, Mid $10–70B, Small $1–10B, Micro <$1B. Old vs New Economy partitions Sparkline's 48 industries: New = technology, internet platforms and entertainment, e-commerce, payments, pharma/biotech/medtech, and renewable energy; Old = everything else. Shares are of classified holdings and sum to 100%. Size shares are of scored holdings weight. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.
10 positions
| # | Name | Ticker | Weight % | Sector | Industry | Country |
|---|---|---|---|---|---|---|
| 1 | Treasury Bill | - | 19.75 | - | - | USA |
| 2 | First American Government Obli | - | 4.78 | - | - | USA |
| 3 | Rigetti Computing | RGTI | 2.74 | Technology | Technology Hardware | USA |
| 4 | D-Wave Quantum | QBTS | 2.44 | Technology | Technology Hardware | USA |
| 5 | IonQ | IONQ | 1.67 | Technology | Technology Hardware | USA |
| 6 | IonQ | IONQ | 1.49 | Technology | Technology Hardware | USA |
| 7 | Quantum Computing | QUBT | 1.34 | Technology | Technology Hardware | USA |
| 8 | D-Wave Quantum | QBTS | 1.23 | Technology | Technology Hardware | USA |
| 9 | Quantum Computing | QUBT | 0.28 | Technology | Technology Hardware | USA |
| 10 | Rigetti Computing | RGTI | -0.42 | Technology | Technology Hardware | USA |
Sector, country and factor detail need a security match; the share of weight that matched is a member figure, so the rows without one appear here with those columns blank. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.
Hover or click for definitions. Solid blue dots mark the fund: percentage rows on a 0–100% scale, holdings counts log-scaled across the clean-universe 5th–95th percentile range. The shaded band spans the fund's broad class (Leveraged Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026.
One sub-card per benchmark: the market primary, then the style secondary — the gap between them is the style sleeve itself. Both anchors are Sparkline-inferred (market from asset class and region, style from the holdings size-and-style map), not the fund's official prospectus benchmark. Solid blue dot marks the fund; the shaded band spans the reference set's 25th–75th percentile, notched at the median (band follows the Peer Universe selector). Active Share compares the fund's book with the benchmark's, share for share; Tracking Error is the annualized daily deviation over the trailing two years (ruler runs to just past the universe's 95th percentile, or past the fund's own figure where that is larger); Benchmark Correlation is the plain daily correlation over the trailing year. Hover the labels for full definitions.
Metric | QPUX Defiance 2x Daily Long Pure Quantum ETF | Peer Group 703 funds | Peer Asset Class 749 funds |
|---|---|---|---|
YTD Return | -76.05% | -10.30%7 | -10.88%7 |
1Y Return | -94.39% | 7.47%4 | -0.94%4 |
3Y Return (Ann.) | - | - | - |
5Y Return (Ann.) | - | - | - |
Expense Ratiohigher = cheaper | 1.29% | 0.99%36 | 0.99%35 |
Sparkline's own holdings-based peer taxonomy (768 share classes across 703 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 | IONX Defiance Daily Target 2x Long Ionq ETF Leveraged - Equity | Leveraged - Equity | 63 | - | - |
| 2 | LLYX Defiance Daily Target 2x Long Lly ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
| 3 | MSTX Defiance Daily Target 2x Long MSTR ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
| 4 | SMCX Defiance Daily Target 2x Long Smci ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
| 5 | SOFX Defiance Daily Target 2x Long SoFi ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
| 6 | RKLX Defiance Daily Target 2x Long Rklb ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
| 7 | SOUX Defiance Daily Target 2x Long Soun ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
| 8 | VSTL Defiance Daily Target 2x Long Vst ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
| 9 | DKNX Defiance Daily Target 2x Long Dkng ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
| 10 | KEEX Defiance Daily Target 2x Long KEEL ETF Leveraged - Equity | Leveraged - Equity | 60 | - | - |
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. Holdings as of 7/31/2026. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). Holdings Overlap = common-holdings weight (sum of the minimum weight across shared positions, long only). Active Tilt Overlap = the same statistic on active weights (holdings minus the fund's own default benchmark, floored at 0), which strips the benchmark ballast that dominates raw overlap.