WisdomTree FTSE 100 2x Daily Leveraged (2UKL.LSE)

10-Year Study

2UKL.LSE · Unknown · ETF

About WisdomTree FTSE 100 2x Daily Leveraged (2UKL.LSE)

Unknown

WisdomTree FTSE 100 2x Daily Leveraged (2UKL.LSE) is listed on global equity exchanges in the Unknown sector.

Source: EODHD Financial Datasets
Fundamentals updated: Feb 15, 2026

Fundamental Snapshot

WisdomTree FTSE 100 2x Daily Leveraged (2UKL.LSE) 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: WisdomTree FTSE 100 2x Daily Leveraged has compounded at 9.7% annually over the last 10 years, with a maximum drawdown of 48.1% and an annualized volatility of 26.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+21.0%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+27.1%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+16.0%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.7%

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
2016-08-01$10,000
2016-09-01$10,309
2016-10-01$10,505
2016-11-01$9,989
2016-12-01$11,022
2017-01-01$10,960
2017-02-01$11,657
2017-03-01$11,885
2017-04-01$11,507
2017-05-01$12,599
2017-06-01$11,908
2017-07-01$12,127
2017-08-01$12,510
2017-09-01$12,255
2017-10-01$12,719
2017-11-01$12,223
2017-12-01$13,460
2018-01-01$12,826
2018-02-01$11,974
2018-03-01$11,490
2018-04-01$13,008
2018-05-01$13,729
2018-06-01$13,659
2018-07-01$13,996
2018-08-01$12,967
2018-09-01$13,296
2018-10-01$11,986
2018-11-01$11,488
2018-12-01$10,653
2019-01-01$11,401
2019-02-01$11,950
2019-03-01$12,666
2019-04-01$13,194
2019-05-01$12,405
2019-06-01$13,398
2019-07-01$13,964
2019-08-01$12,669
2019-09-01$13,536
2019-10-01$12,980
2019-11-01$13,391
2019-12-01$14,071
2020-01-01$13,030
2020-02-01$10,653
2020-03-01$7,657
2020-04-01$8,211
2020-05-01$8,642
2020-06-01$8,934
2020-07-01$8,199
2020-08-01$8,364
2020-09-01$8,065
2020-10-01$7,305
2020-11-01$9,263
2020-12-01$9,800
2021-01-01$9,579
2021-02-01$9,785
2021-03-01$10,667
2021-04-01$11,508
2021-05-01$11,734
2021-06-01$11,809
2021-07-01$11,748
2021-08-01$12,155
2021-09-01$12,177
2021-10-01$12,672
2021-11-01$12,101
2021-12-01$13,166
2022-01-01$13,378
2022-02-01$13,436
2022-03-01$13,775
2022-04-01$13,841
2022-05-01$14,018
2022-06-01$12,504
2022-07-01$13,393
2022-08-01$13,053
2022-09-01$11,685
2022-10-01$12,358
2022-11-01$14,110
2022-12-01$13,644
2023-01-01$14,707
2023-02-01$15,136
2023-03-01$14,291
2023-04-01$15,143
2023-05-01$13,619
2023-06-01$13,938
2023-07-01$14,493
2023-08-01$13,683
2023-09-01$14,288
2023-10-01$13,069
2023-11-01$13,564
2023-12-01$14,594
2024-01-01$14,148
2024-02-01$14,192
2024-03-01$15,478
2024-04-01$16,162
2024-05-01$16,725
2024-06-01$16,280
2024-07-01$16,888
2024-08-01$17,043
2024-09-01$16,409
2024-10-01$15,787
2024-11-01$16,517
2024-12-01$15,947
2025-01-01$17,873
2025-02-01$18,404
2025-03-01$17,546
2025-04-01$16,922
2025-05-01$18,185
2025-06-01$18,222
2025-07-01$19,576
2025-08-01$19,982
2025-09-01$20,554
2025-10-01$22,097
2025-11-01$22,089
2025-12-01$22,874
2026-01-01$24,080
2026-02-01$27,573
2026-03-01$23,990
2026-04-01$24,916
2026-05-01$25,121
2026-06-01$25,414
2026-07-01$27,146
2026-08-01$26,975
2026-09-01$26,319
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
48.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.37
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.51
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
24.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +43.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -30.4%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
80%

Annual Returns

View full annual returns data
YearReturn
201722.1%
2018-20.9%
201932.1%
2020-30.4%
202134.3%
20223.6%
20237.0%
20249.3%
202543.4%
202615.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20265.314.5-13.03.90.81.26.8-0.6-2.415.1%
202512.13.0-4.7-3.67.50.27.42.12.97.5-0.03.643.4%
2024-3.10.39.14.43.5-2.73.70.9-3.7-3.84.6-3.59.3%
20237.82.9-5.66.0-10.12.34.0-5.64.4-8.53.87.67.0%
20221.60.42.50.51.3-10.87.1-2.5-10.55.814.2-3.33.6%
2021-2.32.29.07.92.00.6-0.53.50.24.1-4.58.834.3%
2020-7.4-18.2-28.17.25.23.4-8.22.0-3.6-9.426.85.8-30.4%
20197.04.86.04.2-6.08.04.2-9.36.8-4.13.25.132.1%
2018-4.7-6.6-4.013.25.5-0.52.5-7.42.5-9.9-4.2-7.3-20.9%
2017-0.66.42.0-3.29.5-5.51.83.2-2.03.8-3.910.122.1%
20163.11.9-4.910.310.2%

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
26.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US33.1%
VEA.US47.0%
VWO.US-3.0%
QQQ.US-11.1%
VTV.US-7.9%
IJR.US-2.9%
QUAL.US1.0%
SHV.US0.0%
TLT.US2.8%
LQD.US10.1%
HYG.US-2.6%
GLD.US-0.8%
USO.US5.6%
VNQ.US3.8%
BTC-USD.CC-0.2%
CPER.US1.6%
VIX.INDX-1.9%
UUP.US4.1%
TIP.US2.4%
Idiosyncratic19.0%

WisdomTree FTSE 100 2x Daily Leveraged ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Distribution Yield
0.0%
10th pct of 1336 ETFs · median 1.8%

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 →
-0.8%
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 →
+6.4%
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 →
4.5% 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 →
✦ 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 →
35
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+7.2%
50.0% retracement+11.5%
61.8% retracement+16.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

2UKL.LSE — 10-Year Return & Risk Profile

WisdomTree FTSE 100 2x Daily Leveraged (2UKL.LSE) has delivered solid annualized growth of 9.7% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $25,249, representing a total return of 152%. Over this period, 2UKL.LSE generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for 2UKL.LSE was 2025, with a return of +43.4%. The worst year was 2020, when the asset declined 30.4%. 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 0.37 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.

2UKL.LSE — Drawdown, Volatility & Downside Risk

2UKL.LSE's annualized volatility of 24.1% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 2UKL.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 48.1% — a severe bear-market collapse. 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 48% drawdown, for example, requires a 93% gain just to break even.

When evaluating 2UKL.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.

2UKL.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 47.0% of 2UKL.LSE's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, 2UKL.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 2UKL.LSE allocation.

The second-largest macro driver is US Equity (broad market), contributing 33.1% of variance. 19.0% of 2UKL.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 2UKL.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 2UKL.LSE alongside assets with low correlation to Developed Market Equities (ex-US) — 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 2x Daily Leveraged a high-risk investment?

WisdomTree FTSE 100 2x Daily Leveraged (2UKL.LSE) has an annualized volatility of 26.7% and experienced a maximum drawdown of 48.1% over the last 10 years. Its primary macro risk driver is VEA.US.

What is the 10-year return of 2UKL.LSE?

Over the past 10 years, 2UKL.LSE has generated a Compound Annual Growth Rate (CAGR) of 9.7%. A $10,000 investment would have grown to approximately $25,249. It has had a positive return in 80% of calendar years.

What is 2UKL.LSE's Sharpe ratio?

2UKL.LSE has a Sharpe ratio of 0.37 and a Sortino ratio of 0.51 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 2UKL.LSE's dividend yield?

2UKL.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 2UKL.LSE above its 200-day moving average?

2UKL.LSE is currently above its 200-day moving average by 6.4%. 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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