VistaShares Artificial Intelligence Supercycle ETF

10-Year Study

AIS.US · · US · ETF

Executive Summary: VistaShares Artificial Intelligence Supercycle ETF has compounded at 79.6% annually over the last 10 years, with a maximum drawdown of 12.4% and an annualized volatility of 78.0%.

1Y CAGR
+129.9%
3Y CAGR
+79.6%
5Y CAGR
+79.6%
10Y CAGR
+79.6%

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 →
12.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
2.44
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
5.35
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
34.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +58.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 37.7%
% 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.
202612.87.0-8.024.1————————37.7%
20252.5-1.3-10.8-0.513.116.15.52.615.414.2-8.12.458.3%

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 78.0%. The dominant macroeconomic risk driver is SHV.US, accounting for 82.6% of variance. Idiosyncratic stock-specific factors contribute 0.1%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2024-12-0110000
2025-01-0110249.863748794702
2025-02-0110116.966419318325
2025-03-019029.052949314551
2025-04-018979.583280929024
2025-05-0110159.309101580513
2025-06-0111790.96968934725
2025-07-0112438.686957615395
2025-08-0112761.916740032699
2025-09-0114726.449503207145
2025-10-0116811.302561522658
2025-11-0115457.17519808829
2025-12-0115834.486228147403
2026-01-0117855.19641135287
2026-02-0119104.515155326375
2026-03-0117570.116966419315
2026-04-0121800.192847859806
Annual Return Matrix
YearAnnual Return
20250.5834486228147404
20260.3767540375959755
Total Factor Risk
0.7803416109839262
VTI.US Exposure
0.07446323088872123
VEA.US Exposure
0.00946703883575235
VWO.US Exposure
-0.008072632770652939
QQQ.US Exposure
0.022148087980106545
VTV.US Exposure
0.02424445264546412
IJR.US Exposure
0.009571918197720757
QUAL.US Exposure
-0.019815584922258322
SHV.US Exposure
0.8259666593060824
TLT.US Exposure
0.010349332252910818
LQD.US Exposure
0.048189369569291776
HYG.US Exposure
-0.009854550729299628
GLD.US Exposure
0.0031158265229954555
USO.US Exposure
-0.00013648605009677228
VNQ.US Exposure
0.0036270212401071315
BTC-USD.CC Exposure
0.01906926231429538
CPER.US Exposure
-0.001337196685671095
VIX.INDX Exposure
-0.01947707295202447
UUP.US Exposure
-0.0005100746000067661
TIP.US Exposure
0.007716295318338474
Idiosyncratic Exposure
0.0012751036382235043
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
78.0%

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 →N/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Market Cap$0
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
0.0/ 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
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

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 →
+16.3%
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 →
+38.5%
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 →
0.0% 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

Frequently Asked Questions & Methodology

Is VistaShares Artificial Intelligence Supercycle ETF a high-risk investment?

VistaShares Artificial Intelligence Supercycle ETF (AIS.US) has an annualized volatility of 78.0% and experienced a maximum drawdown of 12.4% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, AIS.US has generated a Compound Annual Growth Rate (CAGR) of 79.6%. 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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