YieldMax Short NVDA Option Income Strategy ETF (DIPS.US)

10-Year Study

DIPS.US · US · ETF

Fundamental Snapshot

YieldMax Short NVDA Option Income Strategy ETF (DIPS.US) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of diversified basket of holdings.

Executive Summary: YieldMax Short NVDA Option Income Strategy ETF has compounded at -36.4% annually over the last 10 years, with a maximum drawdown of 59.5% and an annualized volatility of 165.0%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-27.9%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-36.4%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-36.4%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-36.4%

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
2024-07-01$10,000
2024-08-01$9,515
2024-09-01$8,892
2024-10-01$8,078
2024-11-01$7,770
2024-12-01$7,638
2025-01-01$8,238
2025-02-01$7,993
2025-03-01$8,763
2025-04-01$8,281
2025-05-01$6,638
2025-06-01$5,901
2025-07-01$5,377
2025-08-01$5,454
2025-09-01$5,177
2025-10-01$4,769
2025-11-01$5,472
2025-12-01$5,242
2026-01-01$5,269
2026-02-01$5,560
2026-03-01$5,403
2026-07-01$4,047
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
59.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-1.32
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.85
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
31.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +-22.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -31.4%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
0%

Annual Returns

View full annual returns data
YearReturn
2025-31.4%
2026-22.8%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.55.5-2.8-25.1-22.8%
20257.9-3.09.6-5.5-19.8-11.1-8.91.4-5.1-7.914.8-4.2-31.4%
2024-4.9-6.5-9.2-3.8-1.7-23.6%

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
165.0%
View full factor risk breakdown
FactorRisk Exposure
VTI.US3.1%
VEA.US-0.0%
VWO.US2.1%
QQQ.US-0.7%
VTV.US0.3%
IJR.US0.4%
QUAL.US1.5%
SHV.US87.2%
TLT.US-0.0%
LQD.US0.4%
HYG.US3.1%
GLD.US0.1%
USO.US0.0%
VNQ.US-0.2%
BTC-USD.CC0.1%
CPER.US0.0%
VIX.INDX0.6%
UUP.US0.0%
TIP.US1.5%
Idiosyncratic0.5%

YieldMax Short NVDA Option Income Strategy ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Distribution Yield
14.3%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E
Portfolio Price-to-Sales
Portfolio Price-to-Book

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
$406
Avg Yield on Cost
4.06%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$406.114.06%

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 →
-22.8%
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 →
-24.3%
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 →
56.5% 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 →
✦ Death Cross
Bearish — 50 SMA below 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 →
17
OversoldNeutralOverbought
Oversold
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-44.5%
50.0% retracement-39.4%
61.8% retracement-33.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

DIPS.US — 10-Year Return & Risk Profile

YieldMax Short NVDA Option Income Strategy ETF (DIPS.US) has delivered negative annualized growth of 36.4% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $108, representing a total return of 99%. Over this period, DIPS.US generated positive annual returns in 0 out of 10 calendar years (0%).

The best single calendar year for DIPS.US was 2026, with a return of -22.8%. The worst year was 2025, when the asset declined 31.4%. 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 -1.32 is considered poor 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.

DIPS.US — Drawdown, Volatility & Downside Risk

DIPS.US's annualized volatility of 31.4% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in DIPS.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 59.5% — a catastrophic peak-to-trough decline. 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 60% drawdown, for example, requires a 147% gain just to break even.

When evaluating DIPS.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.

DIPS.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 87.2% of DIPS.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, DIPS.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 DIPS.US allocation.

The second-largest macro driver is High-Yield Corporate Credit, contributing 3.1% of variance. 0.5% of DIPS.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 DIPS.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding DIPS.US alongside assets with low correlation to Short-Term Interest Rates — 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 YieldMax Short NVDA Option Income Strategy ETF a high-risk investment?

YieldMax Short NVDA Option Income Strategy ETF (DIPS.US) has an annualized volatility of 165.0% and experienced a maximum drawdown of 59.5% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, DIPS.US has generated a Compound Annual Growth Rate (CAGR) of -36.4%. A $10,000 investment would have grown to approximately $108. It has had a positive return in 0% of calendar years.

What is DIPS.US's Sharpe ratio?

DIPS.US has a Sharpe ratio of -1.32 and a Sortino ratio of -1.85 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 DIPS.US's dividend yield?

DIPS.US has an average trailing dividend yield of 14.32%. On a $10,000 initial investment, it generated approximately $406 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

DIPS.US is currently below its 200-day moving average by 24.3%. The current trend signal is: Bearish — 50 SMA below 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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