WisdomTree FTSE 100 3x Daily Short (3UKS.LSE)

10-Year Study

3UKS.LSE · GB · ETF

About WisdomTree FTSE 100 3x Daily Short (3UKS.LSE)

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Boost Issuer Public Limited Company - Boost FTSE 100 3x Short Daily ETP is an exchange traded product launched by Boost Management Limited. The product seeks to track the performance of the FTSE 100 Daily Ultra Short Strategy RT Gross TR Index, by employing synthetic replication methodology by entering into swap agreements....

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

Fundamental Snapshot

WisdomTree FTSE 100 3x Daily Short (3UKS.LSE) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of 1 holdings.

Executive Summary: WisdomTree FTSE 100 3x Daily Short has compounded at -27.9% annually over the last 10 years, with a maximum drawdown of 96.4% and an annualized volatility of 53.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-45.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-34.0%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-29.6%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-27.9%

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
2016-07-01$10,000
2016-08-01$9,439
2016-09-01$8,888
2016-10-01$8,528
2016-11-01$9,038
2016-12-01$7,728
2017-01-01$7,724
2017-02-01$7,014
2017-03-01$6,747
2017-04-01$6,991
2017-05-01$6,046
2017-06-01$6,528
2017-07-01$6,291
2017-08-01$5,943
2017-09-01$6,080
2017-10-01$5,712
2017-11-01$6,017
2017-12-01$5,174
2018-01-01$5,509
2018-02-01$5,993
2018-03-01$6,292
2018-04-01$5,156
2018-05-01$4,700
2018-06-01$4,673
2018-07-01$4,456
2018-08-01$4,936
2018-09-01$4,713
2018-10-01$5,421
2018-11-01$5,716
2018-12-01$6,252
2019-01-01$5,531
2019-02-01$5,118
2019-03-01$4,635
2019-04-01$4,333
2019-05-01$4,694
2019-06-01$4,156
2019-07-01$3,865
2019-08-01$4,383
2019-09-01$3,939
2019-10-01$4,126
2019-11-01$3,907
2019-12-01$3,567
2020-01-01$3,938
2020-02-01$5,162
2020-03-01$6,242
2020-04-01$5,231
2020-05-01$4,603
2020-06-01$4,158
2020-07-01$4,608
2020-08-01$4,364
2020-09-01$4,461
2020-10-01$5,059
2020-11-01$3,459
2020-12-01$3,077
2021-01-01$3,119
2021-02-01$2,968
2021-03-01$2,572
2021-04-01$2,273
2021-05-01$2,170
2021-06-01$2,128
2021-07-01$2,105
2021-08-01$1,984
2021-09-01$1,956
2021-10-01$1,828
2021-11-01$1,938
2021-12-01$1,673
2022-01-01$1,600
2022-02-01$1,548
2022-03-01$1,439
2022-04-01$1,409
2022-05-01$1,345
2022-06-01$1,552
2022-07-01$1,376
2022-08-01$1,425
2022-09-01$1,647
2022-10-01$1,506
2022-11-01$1,223
2022-12-01$1,282
2023-01-01$1,144
2023-02-01$1,095
2023-03-01$1,168
2023-04-01$1,071
2023-05-01$1,252
2023-06-01$1,215
2023-07-01$1,138
2023-08-01$1,236
2023-09-01$1,161
2023-10-01$1,321
2023-11-01$1,250
2023-12-01$1,124
2024-01-01$1,178
2024-02-01$1,175
2024-03-01$1,034
2024-04-01$963
2024-05-01$918
2024-06-01$950
2024-07-01$897
2024-08-01$880
2024-09-01$924
2024-10-01$977
2024-11-01$909
2024-12-01$956
2025-01-01$803
2025-02-01$764
2025-03-01$815
2025-04-01$811
2025-05-01$725
2025-06-01$726
2025-07-01$646
2025-08-01$627
2025-09-01$599
2025-10-01$533
2025-11-01$529
2025-12-01$500
2026-01-01$458
2026-02-01$374
2026-03-01$448
2026-04-01$420
2026-05-01$409
2026-06-01$398
2026-07-01$359
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
96.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.87
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.59
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
33.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · +20.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -47.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
10%

Annual Returns

View full annual returns data
YearReturn
2017-33.0%
201820.8%
2019-43.0%
2020-13.7%
2021-45.6%
2022-23.3%
2023-12.4%
2024-14.9%
2025-47.7%
2026-28.3%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-8.5-18.420.0-6.3-2.7-2.6-9.9-28.3%
2025-16.0-4.96.7-0.4-10.70.2-11.1-2.9-4.5-11.0-0.7-5.5-47.7%
20244.8-0.2-12.0-6.9-4.73.6-5.6-2.05.05.7-7.05.2-14.9%
2023-10.8-4.36.6-8.316.9-3.0-6.38.6-6.013.7-5.3-10.1-12.4%
2022-4.3-3.2-7.1-2.1-4.515.4-11.33.515.6-8.5-18.84.9-23.3%
20211.4-4.8-13.3-11.6-4.5-2.0-1.1-5.7-1.4-6.66.0-13.7-45.6%
202010.431.120.9-16.2-12.0-9.710.8-5.32.213.4-31.6-11.0-13.7%
2019-11.5-7.5-9.4-6.58.3-11.5-7.013.4-10.14.7-5.3-8.7-43.0%
20186.58.85.0-18.1-8.9-0.6-4.710.8-4.515.05.49.420.8%
2017-0.0-9.2-3.83.6-13.58.0-3.6-5.52.3-6.15.3-14.0-33.0%
2016-5.6-5.8-4.16.0-14.5-22.7%

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
53.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US5.4%
VEA.US34.1%
VWO.US1.5%
QQQ.US-5.1%
VTV.US-2.4%
IJR.US-1.5%
QUAL.US1.6%
SHV.US57.4%
TLT.US2.0%
LQD.US-1.6%
HYG.US0.3%
GLD.US0.8%
USO.US-0.2%
VNQ.US-0.4%
BTC-USD.CC-0.1%
CPER.US-0.5%
VIX.INDX1.8%
UUP.US1.5%
TIP.US0.2%
Idiosyncratic5.0%

WisdomTree FTSE 100 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 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
$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 →
-9.5%
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 →
-20.6%
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 →
44.9% 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 →
24
OversoldNeutralOverbought
Oversold
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-33.4%
50.0% retracement-28.8%
61.8% retracement-23.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

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

WisdomTree FTSE 100 3x Daily Short (3UKS.LSE) has delivered negative annualized growth of 27.9% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $382, representing a total return of 96%. Over this period, 3UKS.LSE generated positive annual returns in 1 out of 10 calendar years (10%).

The best single calendar year for 3UKS.LSE was 2018, with a return of +20.8%. The worst year was 2025, when the asset declined 47.7%. 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 -0.87 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.

3UKS.LSE — Drawdown, Volatility & Downside Risk

3UKS.LSE's annualized volatility of 33.1% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 3UKS.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 96.4% — 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 96% drawdown, for example, requires a 2687% gain just to break even.

When evaluating 3UKS.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.

3UKS.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 57.4% of 3UKS.LSE's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, 3UKS.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 3UKS.LSE allocation.

The second-largest macro driver is Developed Market Equities (ex-US), contributing 34.1% of variance. 5.0% of 3UKS.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 3UKS.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 3UKS.LSE 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 WisdomTree FTSE 100 3x Daily Short a high-risk investment?

WisdomTree FTSE 100 3x Daily Short (3UKS.LSE) has an annualized volatility of 53.3% and experienced a maximum drawdown of 96.4% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, 3UKS.LSE has generated a Compound Annual Growth Rate (CAGR) of -27.9%. A $10,000 investment would have grown to approximately $382. It has had a positive return in 10% of calendar years.

What is 3UKS.LSE's Sharpe ratio?

3UKS.LSE has a Sharpe ratio of -0.87 and a Sortino ratio of -1.59 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 3UKS.LSE's dividend yield?

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

3UKS.LSE is currently below its 200-day moving average by 20.6%. 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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