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ANALYTICS
AnalysisScreenerGroups

Selection

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SLVX

Seeded with the selected fund at 100%

Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Equity Funds · 5,640 total

ANALYTICS
AnalysisScreenerGroups

SLVX

SectorNon-Diversified

Nicholas Silver Income ETF

Expense Ratio
1.16%
AUM
$4M
Inception
2/19/2026
·

The fund invests at least 80% of its assets in equity securities of Silver Industry Companies, options contracts on these companies, and Underlying Funds, along with options and futures contracts on those funds. It employs an actively managed strategy with components including an Equity Portfolio focused on silver-related companies, a Commodities Portfolio providing exposure to silver ETFs, and an Options Overlay aimed at generating premiums through various options strategies. The fund's assets are expected to be allocated across these strategies, with a high annual portfolio turnover rate.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
SLVX
Nicholas Silver Income ETF
-30.0%-43.2%57.6%-0.81-45.9%
ⓘ 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 2/19/2026 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
SLVX
Nicholas Silver Income ETF
-27.9%-5.2%-4.1%-17.5%0.0%-21.9%-27.9%
ⓘ 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
SLVX
Nicholas Silver Income ETF
-27.9%
ⓘ 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

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
SLVXGlobal Dev
Nicholas Silver Income ETF
11.6%3.10**0.850.55-0.75-0.34-1.26**-2.97**0.66134
ⓘ Methodology

ETF performance based on market prices. Global Dev 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). Fama-French publishes daily factors for developed markets only, so Dev Ex-US is developed markets excluding the US and Global Dev is developed markets including it; emerging markets, a small share of world market capitalization, are not covered by the source data. From 2/19/2026 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund ProfileSectorNon-Diversified

Registrant
Type
ETF
Asset Class
Peer Asset Class
Equity
Region
Equity Sleeve Style
Small Core
Peer Group Benchmark
Peer Group
Sector - Precious Metals (32 peers)
Expense Ratio
1.16%
AUM
$4M
Inception
2/19/2026
Holdings (Reported)
54
Non-Diversified
Yes
Equity
76%
Derivatives
11%
Net Equity Exposure
51%
Option Notional
33%
Strategy Summary

The fund invests at least 80% of its assets in equity securities of Silver Industry Companies, options contracts on these companies, and Underlying Funds, along with options and futures contracts on those funds. It employs an actively managed strategy with components including an Equity Portfolio focused on silver-related companies, a Commodities Portfolio providing exposure to silver ETFs, and an Options Overlay aimed at generating premiums through various options strategies. The fund's assets are expected to be allocated across these strategies, with a high annual portfolio turnover rate.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Yield as of 10/6/2026, AUM 7/31/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (51% of total assets).

LargeMidSmall
-
-
9%
-
8%
8%
21%
10%
44%
Large
ValueCoreGrowth
Size
Large
9%
Mid
16%
Small
75%
Style
Value
21%
Core
18%
Growth
61%
ⓘ Methodology

Equity size and style definitions: Large vs. Small based on market cap, where Large > $70B, Mid $10-70B, and Small < $10B. Value vs. Growth based on percentile ranking on Traditional Value score within the fund's region and size cohort (equal thirds among its true equity-fund peers). This fund is not an equity fund, so the box describes its equity sleeve only (76% of assets): the sleeve's holdings are scored and ranked against equity funds of the same region and size cohort. The rest of the portfolio (bonds, cash, other assets) is not represented here. Cell shading and percentages: share of classified holdings weight per box, from stock-level classification (size on the same $70B/$10B lines; value by Traditional Value terciles across scored stocks). The dot is the average holding ranked against other funds, so dot and weights can differ at the margin. The Size and Style bars are the grid's row and column totals. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Equity Funds

Based on equity exposure only (51% of total assets).

Intangible Value1.1
Traditional Value48.0
Small-Cap79.7
Quality6.9
Momentum97.2
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Equity Funds

Based on equity exposure only (51% of total assets).

Valuation
Book-to-Price (NTM)34.0
Sales-to-Price (NTM)17.9
Earnings-to-Price (NTM)5.6
Innovation/IP
R&D / Mkt Cap0
Patents / Mkt Cap0
Brand
Sales & Marketing / Mkt Cap0.13
Trademarks / Mkt Cap0.004
Human Capital
PhD Employees / Mkt Cap0.52
Top University Alumni / Mkt Cap0.30
Politics
Lobbying Spend / Mkt Cap9.3
AI
AI Employees / Mkt Cap0.010
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 7/31/2026.

Asset Class Exposure

Equity50.6%
Cash & Short-Term19.7%
Commodities15.6%
Other14.1%
Short positions of 5.4% of net assets are not shown.ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. Cash & Short-Term includes 0.6% of net assets the filing does not itemise. 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

Based on holdings that carry a country (62% of total assets).

52.4%
52.4%
47.6%
47.6%
ⓘ Methodology

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.

Sector Exposure

Level

Based on equity exposure only (51% of total assets).

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 7/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (51% of total assets).

AI Composition

Infrastructure0.0%
Early Adopter0.0%
Laggard100.0%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy100.0%
New Economy0.0%

Globalization

Multinational9.5%
Exporter18.0%
Importer0.0%
Domestic72.5%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations10.3%
Operations Only0.0%
Revenue Only0.0%
No Material Exposure89.7%

Company Size

Mega (>$500B)0.0%
Large ($70–500B)0.0%
Mid ($10–70B)40.2%
Small ($1–10B)59.8%
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 76% 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 7/31/2026. Stock-level data as of 8/31/2026.

Holdings

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54 positions (top 10 shown, create for full holdings) · 27.3% in funds

#NameTickerWeight %SectorIndustryCountry
1First American Government Obli-
19.07
--USA
2abrdn Physical Silver Shares ESIVR
15.59
--USA
3abrdn Physical Silver Shares ESIVR
11.41
--USA
4First Majestic SilverAG
7.81
MaterialsPrecious MetalsCAN
5SSR MiningSSRM
5.64
MaterialsPrecious MetalsUSA
6Silvercorp MetalsSVM
5.21
MaterialsPrecious MetalsCAN
7Fortuna MiningFVI
4.82
MaterialsPrecious MetalsCAN
8Wheaton Precious MetalsWPM
4.56
MaterialsPrecious MetalsCAN
9OR RoyaltiesOR
4.21
MaterialsPrecious MetalsCAN
10Coeur MiningCDE
4.06
MaterialsPrecious MetalsUSA
ⓘ 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. "In funds" adds up the rows tagged Fund — holdings that are themselves funds this app covers, which is what look-through can expand; a held vehicle that files no holdings of its own (a commodity or currency trust, a money-market fund) is not counted and stays a single line. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Equity Funds

Total Holdings54
Effective Holdings10
Top 10 Weight82.4%
Max Position19.1%
Top Sector (of Net Assets)53%
Top Country (of Net Assets)66%
ⓘ 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 7/31/2026.

Peer Group Rank

See All Peer Groups
Metric
SLVX
Nicholas Silver Income ETF
Peer Group
32 funds
Peer Asset Class
5,640 funds
YTD Return
-27.90%0.41%011.63%0
1Y Return
---
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
1.16%0.69%260.74%17
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (73 share classes across 32 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 Similarity80
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1SILJ
Amplify Junior Silver Miners ETF
Sector - Precious Metals
Sector - Precious Metals
80---
2SLJY
Amplify SILJ Junior Silver Miners Covered Call ETF
Options - Income
Options - Income
77---
3SLVR
Sprott Silver Miners & Physical Silver ETF
Sector - Precious Metals
Sector - Precious Metals
65---
4SIL
Global X Silver Miners ETF
Sector - Precious Metals
Sector - Precious Metals
46---
5SLVP
iShares MSCI Global Silver and Metals Miners ETF
Sector - Precious Metals
Sector - Precious Metals
45---
6AGMI
Themes Silver Miners ETF
Sector - Precious Metals
Sector - Precious Metals
45---
7EHLS
Even Herd Long Short ETF
Alts - Long/Short Equity
Alts - Long/Short Equity
33---
8RYPMX
Precious Metals Fund
Sector - Precious Metals
Sector - Precious Metals
33---
9GLDN
Nicholas Gold Income ETF
Options - Income
Options - Income
33---
10MNRS
Grayscale Bitcoin Miners ETF
Digital Assets - Equity
Digital Assets - Equity
32---

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 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. 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.