First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - April

10-Year Study

GAPR.US · · US · ETF

Executive Summary: First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - April has compounded at 10.8% annually over the last 10 years, with a maximum drawdown of 3.7% and an annualized volatility of 7.6%.

1Y CAGR
+8.9%
3Y CAGR
+11.0%
5Y CAGR
+10.8%
10Y CAGR
+10.8%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
3.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.26
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.82
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
5.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +14.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 1.5%
% 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.
20260.40.30.50.3————————1.5%
20251.10.2-1.1-2.62.62.00.80.90.80.50.50.86.7%
20241.01.30.61.32.61.90.71.30.9-0.02.1-0.114.5%
2023————0.23.71.1-0.2-2.1-1.05.52.29.6%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 7.6%. The dominant macroeconomic risk driver is SHV.US, accounting for 51.8% of variance. Idiosyncratic stock-specific factors contribute 4.3%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2023-04-0110000
2023-05-0110023.427041499332
2023-06-0110398.259705488621
2023-07-0110508.701472556893
2023-08-0110486.94779116466
2023-09-0110265.060240963858
2023-10-0110158.634538152612
2023-11-0110716.867469879518
2023-12-0110955.488621151273
2024-01-0111067.269076305221
2024-02-0111208.165997322625
2024-03-0111273.09236947791
2024-04-0111417.336010709507
2024-05-0111716.867469879517
2024-06-0111934.738955823294
2024-07-0112022.088353413654
2024-08-0112182.061579651941
2024-09-0112295.850066934407
2024-10-0112295.180722891566
2024-11-0112556.894243641233
2024-12-0112546.854082998661
2025-01-0112687.416331994646
2025-02-0112715.528781793844
2025-03-0112571.954484605085
2025-04-0112248.995983935743
2025-05-0112566.9344042838
2025-06-0112820.95046854083
2025-07-0112917.336010709505
2025-08-0113032.128514056225
2025-09-0113134.638554216866
2025-10-0113202.476572958501
2025-11-0113274.765729585008
2025-12-0113384.538152610443
2026-01-0113438.755020080322
2026-02-0113480.589022757698
2026-03-0113544.17670682731
2026-04-0113591.03078982597
Annual Return Matrix
YearAnnual Return
20240.1452573697876891
20250.06676447052547352
20260.015427699847473164
Total Factor Risk
0.07566797599595193
VTI.US Exposure
0.0455124469506833
VEA.US Exposure
-0.017569759881666817
VWO.US Exposure
0.0026049665853363343
QQQ.US Exposure
0.1718938692802319
VTV.US Exposure
0.22489584984718033
IJR.US Exposure
-0.07502492796930313
QUAL.US Exposure
-0.09178862696878153
SHV.US Exposure
0.5175097564445834
TLT.US Exposure
0.023500659356133036
LQD.US Exposure
-0.02887031156558463
HYG.US Exposure
0.0716723919899394
GLD.US Exposure
0.011444278320313295
USO.US Exposure
0.0005653330609738392
VNQ.US Exposure
0.017403770406749994
BTC-USD.CC Exposure
-0.00829116457782886
CPER.US Exposure
0.014552863853758128
VIX.INDX Exposure
0.0397728069038666
UUP.US Exposure
0.007465026095870153
TIP.US Exposure
0.03016108199786945
Idiosyncratic Exposure
0.04258968986967583
Value Score
41.8
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
7.6%

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 →20.6x
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$405.7B
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 →
+0.7%
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 →
+2.7%
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 →
0.1% 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 First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - April a high-risk investment?

First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - April (GAPR.US) has an annualized volatility of 7.6% and experienced a maximum drawdown of 3.7% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, GAPR.US has generated a Compound Annual Growth Rate (CAGR) of 10.8%. 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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