WisdomTree S&P 500 3x Daily Short (3ULS.LSE)

10-Year Study

3ULS.LSE · GB · ETF

About WisdomTree S&P 500 3x Daily Short (3ULS.LSE)

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Boost Issuer Public Limited Company - Boost S&P500 3x Short Daily ETP is an exchange traded product launched by Boost Management Limited. The product seeks to track thrice the inverse of the daily performance of the S&P 500 Total Returns Index, by employing synthetic replication methodology by entering into swap agreements....

Source: EODHD Financial Datasets
Fundamentals updated: Apr 26, 2026

Fundamental Snapshot

WisdomTree S&P 500 3x Daily Short (3ULS.LSE) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of 1 holdings. At the portfolio level, its underlying basket trades at 3.24x sales and 4.63x book value.

Executive Summary: WisdomTree S&P 500 3x Daily Short has compounded at -42.7% annually over the last 10 years, with a maximum drawdown of 99.5% and an annualized volatility of 41.9%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-36.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-47.0%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-34.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-42.7%

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
2017-03-01$10,000
2017-04-01$9,413
2017-05-01$9,093
2017-06-01$8,828
2017-07-01$8,165
2017-08-01$8,310
2017-09-01$7,502
2017-10-01$7,031
2017-11-01$6,355
2017-12-01$5,948
2018-01-01$4,904
2018-02-01$5,293
2018-03-01$5,798
2018-04-01$5,548
2018-05-01$5,444
2018-06-01$5,310
2018-07-01$4,918
2018-08-01$4,532
2018-09-01$4,406
2018-10-01$5,457
2018-11-01$5,219
2018-12-01$6,483
2019-01-01$5,001
2019-02-01$4,464
2019-03-01$4,352
2019-04-01$3,910
2019-05-01$4,728
2019-06-01$3,928
2019-07-01$3,760
2019-08-01$4,044
2019-09-01$3,754
2019-10-01$3,367
2019-11-01$2,985
2019-12-01$2,713
2020-01-01$2,658
2020-02-01$3,644
2020-03-01$3,247
2020-04-01$2,148
2020-05-01$1,917
2020-06-01$1,710
2020-07-01$1,352
2020-08-01$1,056
2020-09-01$1,162
2020-10-01$1,245
2020-11-01$885
2020-12-01$770
2021-01-01$752
2021-02-01$680
2021-03-01$597
2021-04-01$508
2021-05-01$477
2021-06-01$458
2021-07-01$418
2021-08-01$384
2021-09-01$432
2021-10-01$360
2021-11-01$368
2021-12-01$315
2022-01-01$382
2022-02-01$389
2022-03-01$333
2022-04-01$439
2022-05-01$443
2022-06-01$566
2022-07-01$439
2022-08-01$490
2022-09-01$638
2022-10-01$503
2022-11-01$445
2022-12-01$478
2023-01-01$396
2023-02-01$419
2023-03-01$379
2023-04-01$356
2023-05-01$357
2023-06-01$289
2023-07-01$262
2023-08-01$277
2023-09-01$334
2023-10-01$374
2023-11-01$277
2023-12-01$237
2024-01-01$226
2024-02-01$202
2024-03-01$185
2024-04-01$206
2024-05-01$190
2024-06-01$164
2024-07-01$159
2024-08-01$148
2024-09-01$135
2024-10-01$142
2024-11-01$124
2024-12-01$132
2025-01-01$122
2025-02-01$135
2025-03-01$154
2025-04-01$136
2025-05-01$109
2025-06-01$93
2025-07-01$89
2025-08-01$84
2025-09-01$78
2025-10-01$73
2025-11-01$72
2025-12-01$70
2026-01-01$67
2026-02-01$70
2026-03-01$87
2026-04-01$60
2026-05-01$51
2026-06-01$54
2026-07-01$55
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
99.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.88
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.66
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
46.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · +51.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -71.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
22%

Annual Returns

View full annual returns data
YearReturn
20189.0%
2019-58.2%
2020-71.6%
2021-59.1%
202251.7%
2023-50.3%
2024-44.6%
2025-47.2%
2026-20.5%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-3.64.223.8-30.3-14.74.62.8-20.5%
2025-7.711.413.6-11.7-19.9-14.3-5.1-5.3-7.3-6.2-1.3-3.4-47.2%
2024-4.9-10.3-8.911.7-8.0-13.7-2.9-6.9-8.55.0-13.16.5-44.6%
2023-17.25.8-9.5-6.10.4-19.2-9.35.920.511.9-25.9-14.2-50.3%
202221.12.0-14.331.51.027.9-22.511.530.2-21.1-11.67.551.7%
2021-2.4-9.5-12.3-14.8-6.2-4.0-8.6-8.212.4-16.62.1-14.3-59.1%
2020-2.037.1-10.9-33.9-10.7-10.8-21.0-21.910.07.1-28.9-13.0-71.6%
2019-22.9-10.7-2.5-10.220.9-16.9-4.37.6-7.2-10.3-11.4-9.1-58.2%
2018-17.67.99.5-4.3-1.9-2.5-7.4-7.8-2.823.8-4.324.29.0%
2017-5.9-3.4-2.9-7.51.8-9.7-6.3-9.6-6.4-40.5%

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.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
41.9%
View full factor risk breakdown
FactorRisk Exposure
VTI.US81.3%
VEA.US-0.2%
VWO.US0.5%
QQQ.US3.2%
VTV.US0.2%
IJR.US-4.0%
QUAL.US-4.0%
SHV.US10.7%
TLT.US-0.4%
LQD.US-1.0%
HYG.US-4.3%
GLD.US0.4%
USO.US-0.0%
VNQ.US0.5%
BTC-USD.CC-0.5%
CPER.US-0.2%
VIX.INDX3.2%
UUP.US7.7%
TIP.US3.2%
Idiosyncratic3.8%

WisdomTree S&P 500 3x Daily Short ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Holdings Count1
Distribution Yield
0.0%
10th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio22.85x
Portfolio Forward P/E22.85x
Portfolio Price-to-Sales3.24x
Portfolio Price-to-Book4.63x

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 →
+2.9%
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 →
-16.4%
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 →
41.7% 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 →
0.00
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 →
64
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-29.1%
50.0% retracement-24.0%
61.8% retracement-18.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

3ULS.LSE — 10-Year Return & Risk Profile

WisdomTree S&P 500 3x Daily Short (3ULS.LSE) has delivered negative annualized growth of 42.7% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $38, representing a total return of 100%. Over this period, 3ULS.LSE generated positive annual returns in 2 out of 10 calendar years (22%).

The best single calendar year for 3ULS.LSE was 2022, with a return of +51.7%. The worst year was 2020, when the asset declined 71.6%. 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 -0.88 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.

3ULS.LSE — Drawdown, Volatility & Downside Risk

3ULS.LSE's annualized volatility of 46.3% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 3ULS.LSE 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 99.5% — 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 99% drawdown, for example, requires a 19335% gain just to break even.

When evaluating 3ULS.LSE 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.

3ULS.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 81.3% of 3ULS.LSE's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, 3ULS.LSE 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 3ULS.LSE allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 10.7% of variance. 3.8% of 3ULS.LSE'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 3ULS.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 3ULS.LSE 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 WisdomTree S&P 500 3x Daily Short a high-risk investment?

WisdomTree S&P 500 3x Daily Short (3ULS.LSE) has an annualized volatility of 41.9% and experienced a maximum drawdown of 99.5% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of 3ULS.LSE?

Over the past 10 years, 3ULS.LSE has generated a Compound Annual Growth Rate (CAGR) of -42.7%. A $10,000 investment would have grown to approximately $38. It has had a positive return in 22% of calendar years.

What is 3ULS.LSE's Sharpe ratio?

3ULS.LSE has a Sharpe ratio of -0.88 and a Sortino ratio of -1.66 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 3ULS.LSE's dividend yield?

3ULS.LSE 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 3ULS.LSE above its 200-day moving average?

3ULS.LSE is currently below its 200-day moving average by 16.4%. 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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