ALPS Electrification Infrastructure ETF

10-Year Study

ELFY.US · · US · ETF

Executive Summary: ALPS Electrification Infrastructure ETF has compounded at 47.0% annually over the last 10 years, with a maximum drawdown of 5.5% and an annualized volatility of 83.9%.

1Y CAGR
+31.8%
3Y CAGR
+47.0%
5Y CAGR
+47.0%
10Y CAGR
+47.0%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
5.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
2.46
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
6.01
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
18.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +23.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 23.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
100%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20267.89.7-5.511.21.8-2.1——————23.8%
2025————8.85.16.3-0.56.02.4-0.4-3.326.5%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Risk Profile Insight: This asset has an estimated annualized volatility of 83.9%. The dominant macroeconomic risk driver is HYG.US, accounting for 54.0% of variance. Idiosyncratic stock-specific factors contribute 0.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2025-04-0110000
2025-05-0110881.651933522904
2025-06-0111441.954768829246
2025-07-0112159.247369423845
2025-08-0112099.60779520511
2025-09-0112825.707927857324
2025-10-0113137.386715365728
2025-11-0113090.832617346887
2025-12-0112652.648910202717
2026-01-0113640.530465073643
2026-02-0114962.01976482092
2026-03-0114140.94208238817
2026-04-0115724.14090613328
2026-05-0116003.465494246346
2026-06-0115666.622329430458
Annual Return Matrix
YearAnnual Return
20260.23820888737356527
Total Factor Risk
0.8389802740942551
VTI.US Exposure
-0.09583890751035173
VEA.US Exposure
0.1487804202363724
VWO.US Exposure
-0.013474827333464345
QQQ.US Exposure
0.11183076062143103
VTV.US Exposure
-0.02483491721389592
IJR.US Exposure
0.1720800418591326
QUAL.US Exposure
0.11565755324684945
SHV.US Exposure
0.01431077442159204
TLT.US Exposure
-0.00429240651919561
LQD.US Exposure
-0.010297033650786153
HYG.US Exposure
0.5403229907383301
GLD.US Exposure
-0.002323495639954857
USO.US Exposure
-0.00018974071879368983
VNQ.US Exposure
-0.04291879638898286
BTC-USD.CC Exposure
0.04426422422314982
CPER.US Exposure
0.0015149345750310936
VIX.INDX Exposure
-0.009968838483502423
UUP.US Exposure
0.02884173871759486
TIP.US Exposure
0.026535510612636308
Idiosyncratic Exposure
1.4206807640057701e-8
Value Score
28.9
Growth Score
50
Profit Score
75
Health Score
21.2
Yield Score
10.2
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
83.9%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →23.2x
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →Moderately Elevated23.2x
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.85%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
Market Cap$23.2B
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
2.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.06
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$38
Avg Yield on Cost
0.38%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$37.750.38%Solid

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+2.1%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+14.1%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
4.5% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
1.00
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
48
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+9.6%
50.0% retracement+14.9%
61.8% retracement+20.6%
% distance of current price from each 52-week Fibonacci support level.

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Frequently Asked Questions & Methodology

Is ALPS Electrification Infrastructure ETF a high-risk investment?

ALPS Electrification Infrastructure ETF (ELFY.US) has an annualized volatility of 83.9% and experienced a maximum drawdown of 5.5% over the last 10 years. Its primary macro risk driver is HYG.US.

What is the 10-year return of ELFY.US?

Over the past 10 years, ELFY.US has generated a Compound Annual Growth Rate (CAGR) of 47.0%. It has had a positive return in 100% of the years measured.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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