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ANALYTICS
AnalysisScreenerGroups

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DRAM

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Peer Universe

Reference set for percentile ranks and factor bars

Equity Funds · 5,640 total

ANALYTICS
AnalysisScreenerGroups

DRAM

Sector

Roundhill Memory ETF

Expense Ratio
0.65%
AUM
$26B
Inception
4/6/2026
·

The fund will generally seek to invest primarily in the equity securities of “Memory Companies,” but may also seek exposure to Memory Companies through derivative instruments, such as swap agreements and forward contracts. Under normal circumstances, it invests at least 80% of its net assets (plus borrowings for investment purposes) in equity securities or instruments (i.e., swap agreements or forward contracts) that provide exposure to Memory Companies. The fund is non-diversified.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
DRAM
Roundhill Memory ETF
105.8%319.0%87.9%3.59-44.4%
ⓘ Methodology

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 4/6/2026 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
DRAM
Roundhill Memory ETF
116.2%0.8%-0.6%0.5%-1.0%103.8%116.2%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.

Annual Returns

Name
YTD
DRAM
Roundhill Memory ETF
116.2%
ⓘ Methodology

ETF performance based on market prices. As of 10/7/2026.

Correlation Matrix

Benchmark

Select a second series, or to correlate with the seven research factors.

Factor Regression

Not enough overlapping history for a regression in this period.
ⓘ Methodology

ETF performance based on market prices. 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).

SnapshotAs ofvsⓘ

Fund ProfileSector

Family
Type
ETF
Asset Class
Equity
Region
Equity Size & Style
Peer Group Benchmark
Peer Group
Global Large Core (154 peers)
Expense Ratio
0.65%
AUM
$26B
Inception
4/6/2026
Holdings (Reported)
18
Turnover
0%
Equity
65%
Derivatives
8%
Net Equity Exposure
100%
Strategy Summary

The fund will generally seek to invest primarily in the equity securities of “Memory Companies,” but may also seek exposure to Memory Companies through derivative instruments, such as swap agreements and forward contracts. Under normal circumstances, it invests at least 80% of its net assets (plus borrowings for investment purposes) in equity securities or instruments (i.e., swap agreements or forward contracts) that provide exposure to Memory Companies. The fund is non-diversified.

ⓘ Methodology

Expense ratio and its components from market data (10/6/2026). Turnover from market data (10/6/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 6/30/2026. Summary may be from an older prospectus.

Equity Size & Style Map

LargeMidSmall
-
87%
12%
-
-
1%
-
-
-
Large
ValueCoreGrowth
Size
Large
99%
Mid
1%
Small
0%
Style
Value
0%
Core
87%
Growth
13%
ⓘ Methodology

Equity size and style definitions. Size: each holding is scored against its own market's size curve — Large above $61.7B in the US and $21.4B elsewhere, Small below $10.8B worldwide — and a fund sits at the weighted average of its holdings. Style: each holding's Traditional Value score is ranked against stocks of the same region and size, and a fund sits at the weighted average of those ranks. Both are relative measures — where a holding stands among comparable stocks, not an absolute threshold. The dollar lines are recomputed from total market capitalisation each time the data is refreshed; the shares of the market they mark are what stay fixed. Cell shading and percentages: share of classified holdings weight per box. The grid and the dot are built from one set of per-holding scores — the dot is their weighted average — so they describe the same book at two levels of detail. The Size and Style bars are the grid's row and column totals. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Equity Funds

Intangible Value53.9
Traditional Value52.7
Small-Cap10.0
Quality82.4
Momentum100.0
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Ranked within the clean equity fund universe, one entry per fund series (lowest: 0, highest: 100; the middle of the range is denser than the ends). Blue dots mark the fund; the shaded band spans the Equity Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Equity Funds

Valuation
Book-to-Price (NTM)21.3
Sales-to-Price (NTM)8.2
Earnings-to-Price (NTM)15.0
Innovation/IP
R&D / Mkt Cap1.2
Patents / Mkt Cap3.0
Brand
Sales & Marketing / Mkt Cap0.54
Trademarks / Mkt Cap0.02
Human Capital
PhD Employees / Mkt Cap1.9
Top University Alumni / Mkt Cap1.7
Politics
Lobbying Spend / Mkt Cap1.2
AI
AI Employees / Mkt Cap0.42
ⓘ Methodology

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 (Equity Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Asset Class Exposure

Equity56.9%
Fixed Income21.2%
Cash & Short-Term14.1%
Other7.8%
Short positions of 0.3% of net assets are not shown.ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. The short book is stated under the card and never netted into a slice: a pie cannot draw a negative, and folding a hedge into the class it offsets would make it look like more of that class. Other is everything we could not name as an asset class: holdings the filing itself labels as other, derivative positions at the market value the filing reports rather than at notional, and funds held inside this fund whose own holdings we could not read.

Country Exposure

Level
50.2%
50.2%
46.2%
40.4%
3.2%
2.5%
3.6%
3.6%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
100.0%
ⓘ Methodology

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 6/30/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure96.6%
Early Adopter1.9%
Laggard1.5%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy0.0%
New Economy100.0%

Globalization

Multinational66.7%
Exporter29.3%
Importer0.0%
Domestic4.0%

China Exposure

China/HK Domiciled5.4%
Revenue & Operations59.2%
Operations Only1.1%
Revenue Only28.2%
No Material Exposure6.1%

Company Size

Mega (>$500B)77.3%
Large ($70–500B)18.7%
Mid ($10–70B)3.7%
Small ($1–10B)0.4%
Micro (<$1B)0.0%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 65% of net assets) — they are not portfolio weights. China exposure: domiciled = incorporated in China or Hong Kong, falling back to the filing's country for holdings outside the stock model. Among the rest, revenue = ≥15% of revenue derived from China; operations = ≥3% of LinkedIn-tracked workforce in China, or ≥2 identified Chinese suppliers making up ≥12% of those identified. China revenue is estimated where segment reporting is absent. 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%. China shares are of total equity weight. Size shares are of scored holdings weight. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Holdings

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18 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1Treasury Bill-
21.39
--USA
2SK hynixA000660
15.89
TechnologySemiconductorsKOR
3Samsung ElectronicsA005930
14.37
TechnologyTechnology HardwareKOR
4First American Government Obli-
14.17
--USA
5SandiskSNDK
5.21
TechnologyTechnology HardwareUSA
6Kioxia Holdings285A
4.36
TechnologySemiconductorsJPN
7Western DigitalWDC
4.30
TechnologyTechnology HardwareUSA
8Seagate Technology Holdings PLSTX
4.19
TechnologyTechnology HardwareUSA
9Micron TechnologyMU
4.10
TechnologySemiconductorsUSA
10GigaDevice Semiconductor-
3.07
--CHN
ⓘ Methodology

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 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Equity Funds

Total Holdings18
Effective Holdings8.2
Top 10 Weight91.1%
Max Position21.4%
Top Sector (of Net Assets)62%
Top Country (of Net Assets)59%
ⓘ Methodology

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 (Equity Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026.

Benchmark DifferentiationRef: Equity Funds

vs ACWIBroad Benchmark
Active Share97.1%
Benchmark Correlation0.67
ⓘ Methodology

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.

Peer Group Rank

See All Peer Groups
Metric
DRAM
Roundhill Memory ETF
Peer Group
154 funds
Peer Region
435 funds
Peer Asset Class
5,640 funds
YTD Return
116.17%11.44%999.70%10011.63%100
1Y Return
----
3Y Return (Ann.)
----
5Y Return (Ann.)
----
Expense Ratiohigher = cheaper
0.65%0.85%710.90%720.74%56
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (464 share classes across 154 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.

Similar Funds

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Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity62
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1DRMY
XFUNDS(TM) Memory Income ETF
Allocation - Aggressive
Allocation - Aggressive
62---
2MAGC
Roundhill China Magnificent Seven ETF
Other
Other
48---
3UMMA
Wahed Dow Jones Islamic World ETF
Global ex-US Large Growth
Global ex-US Large Growth
23---
4FDCPX
Select Tech Hardware Portfolio
Sector - Technology
Sector - Technology
23---
5BGSAX
BlackRock Technology Opportunities Fund
Sector - Technology
Sector - Technology
23---
6AIA
iShares Asia 50 ETF
Region - Emerging Asia
Region - Emerging Asia
19---
7XAIX
Xtrackers Artificial Intelligence and Big Data ETF
Sector - AI
Sector - AI
19---
8EWY
iShares MSCI South Korea ETF
Region - Emerging Asia
Region - Emerging Asia
19---
9CHPX
Global X AI Semiconductor & Quantum ETF
Sector - AI
Sector - AI
18---
10JGLTX
Janus Henderson VIT Global Technology and Innovation Portfolio
Sector - Technology
Sector - Technology
18---

The method columns are members-only — create a free account to see these figures.

ⓘ Methodology

Rows 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 6/30/2026. 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. Factor Similarity = 100 − a signature-weighted RMS gap across the composite factor scores (0–100 ranks within the clean equity fund universe), each axis weighted by how far this fund sits from the universe median of 50.