First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - May (DMAY.US)

10-Year Study

DMAY.US · US · ETF

About First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - May (DMAY.US)

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Under normal market conditions, the fund will invest substantially all of its assets in FLexible EXchange® Options (FLEX Options) that reference the price performance of the SPDR® S&P 500® ETF Trust (the Underlying ETF). FLEX Options are customized equity or index option contracts that trade on an exchange, but provide investors with the ability to customize key contract terms like exercise prices, styles and expiration dates....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 30, 2026

Fundamental Snapshot

First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - May (DMAY.US) charges an annual expense ratio of 0.85%, manages approximately $372.6M in net assets, and maintains a portfolio of 1 holdings. At the portfolio level, its underlying basket trades at 3.21x sales and 4.52x book value.

Executive Summary: First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - May has compounded at 6.8% annually over the last 10 years, with a maximum drawdown of 13.4% and an annualized volatility of 9.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+7.2%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.5%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.8%

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

View full price history data
DateValue
2020-05-01$10,000
2020-06-01$10,059
2020-07-01$10,236
2020-08-01$10,332
2020-09-01$10,289
2020-10-01$10,229
2020-11-01$10,475
2020-12-01$10,565
2021-01-01$10,528
2021-02-01$10,613
2021-03-01$10,671
2021-04-01$10,694
2021-05-01$10,773
2021-06-01$10,868
2021-07-01$10,933
2021-08-01$11,017
2021-09-01$10,887
2021-10-01$11,102
2021-11-01$11,046
2021-12-01$11,214
2022-01-01$11,088
2022-02-01$10,978
2022-03-01$11,204
2022-04-01$10,661
2022-05-01$10,335
2022-06-01$9,952
2022-07-01$10,352
2022-08-01$10,184
2022-09-01$9,713
2022-10-01$10,068
2022-11-01$10,379
2022-12-01$10,094
2023-01-01$10,452
2023-02-01$10,252
2023-03-01$10,536
2023-04-01$10,671
2023-05-01$10,729
2023-06-01$11,065
2023-07-01$11,216
2023-08-01$11,171
2023-09-01$10,929
2023-10-01$10,804
2023-11-01$11,398
2023-12-01$11,649
2024-01-01$11,765
2024-02-01$11,939
2024-03-01$12,025
2024-04-01$12,065
2024-05-01$12,108
2024-06-01$12,410
2024-07-01$12,489
2024-08-01$12,730
2024-09-01$12,894
2024-10-01$12,866
2024-11-01$13,252
2024-12-01$13,142
2025-01-01$13,370
2025-02-01$13,304
2025-03-01$12,774
2025-04-01$12,659
2025-05-01$13,507
2025-06-01$13,810
2025-07-01$13,959
2025-08-01$14,113
2025-09-01$14,298
2025-10-01$14,375
2025-11-01$14,456
2025-12-01$14,594
2026-01-01$14,673
2026-02-01$14,707
2026-03-01$14,550
2026-07-01$15,046
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
13.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.40
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.59
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
7.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +15.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -10.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
83%

Annual Returns

View full annual returns data
YearReturn
20216.1%
2022-10.0%
202315.4%
202412.8%
202511.0%
20263.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.50.2-1.13.43.1%
20251.7-0.5-4.0-0.96.72.21.11.11.30.50.61.011.0%
20241.01.50.70.30.42.50.61.91.3-0.23.0-0.812.8%
20233.5-1.92.81.30.53.11.4-0.4-2.2-1.15.52.215.4%
2022-1.1-1.02.1-4.8-3.1-3.74.0-1.6-4.63.73.1-2.8-10.0%
2021-0.30.80.50.20.70.90.60.8-1.22.0-0.51.56.1%
20200.61.80.9-0.4-0.62.40.95.6%

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.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
9.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US53.6%
VEA.US1.5%
VWO.US0.9%
QQQ.US-2.4%
VTV.US4.8%
IJR.US-8.5%
QUAL.US-5.3%
SHV.US45.9%
TLT.US0.1%
LQD.US-2.1%
HYG.US3.8%
GLD.US-0.2%
USO.US0.2%
VNQ.US0.4%
BTC-USD.CC-0.1%
CPER.US-0.6%
VIX.INDX0.3%
UUP.US-0.5%
TIP.US0.9%
Idiosyncratic7.3%

First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - May ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Expense Ratio
0.85%
69th pct of 1165 ETFs · median 0.56%
Fund Size vs Peers
38th pct
larger than 38% of 1,443 ETFs we track
Holdings Count1
Distribution Yield
0.0%
11th pct of 1318 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio20.77x
Portfolio Forward P/E20.77x
Portfolio Price-to-Sales3.21x
Portfolio Price-to-Book4.52x

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

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 →
+1.4%
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 →
+4.2%
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 →
1.7% 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 →
0.46
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 →
34
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+7.3%
50.0% retracement+10.5%
61.8% retracement+13.8%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

DMAY.US — 10-Year Return & Risk Profile

First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - May (DMAY.US) has delivered modest annualized growth of 6.8% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $19,397, representing a total return of 94%. Over this period, DMAY.US generated positive annual returns in 8 out of 10 calendar years (83%).

The best single calendar year for DMAY.US was 2023, with a return of +15.4%. The worst year was 2022, when the asset declined 10.0%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.40 is considered weak on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

DMAY.US — Drawdown, Volatility & Downside Risk

DMAY.US's annualized volatility of 7.3% is classified as very low relative to the long-run US equity benchmark of approximately 15%. This below-average volatility profile suggests the asset has historically experienced smaller day-to-day price swings than the broad market, which may appeal to risk-conscious or income-oriented investors.

The asset's maximum peak-to-trough decline over the study period was 13.4% — a notable pullback. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 13% drawdown, for example, requires a 15% gain just to break even.

When evaluating DMAY.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

DMAY.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 53.6% of DMAY.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, DMAY.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their DMAY.US allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 45.9% of variance. 7.3% of DMAY.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding DMAY.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding DMAY.US alongside assets with low correlation to US Equity (broad market) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - May a high-risk investment?

First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - May (DMAY.US) has an annualized volatility of 9.5% and experienced a maximum drawdown of 13.4% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, DMAY.US has generated a Compound Annual Growth Rate (CAGR) of 6.8%. A $10,000 investment would have grown to approximately $19,397. It has had a positive return in 83% of calendar years.

What is DMAY.US's Sharpe ratio?

DMAY.US has a Sharpe ratio of 0.40 and a Sortino ratio of 0.59 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is DMAY.US's dividend yield?

DMAY.US does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

Is DMAY.US above its 200-day moving average?

DMAY.US is currently above its 200-day moving average by 4.2%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

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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