WisdomTree EURO STOXX Banks 3x Daily Leveraged EUR (0LJI.XETRA)

10-Year Study

0LJI.XETRA · DE · ETF

About WisdomTree EURO STOXX Banks 3x Daily Leveraged EUR (0LJI.XETRA)

Unknown

WisdomTree EURO STOXX Banks 3x Daily Leveraged EUR (0LJI.XETRA) is listed on global equity exchanges in the Unknown sector.

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

WisdomTree EURO STOXX Banks 3x Daily Leveraged EUR (0LJI.XETRA) 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 EURO STOXX Banks 3x Daily Leveraged EUR has compounded at 20.9% annually over the last 10 years, with a maximum drawdown of 97.6% and an annualized volatility of 102.0%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+150.1%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+162.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+76.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+20.9%

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$11,804
2016-09-01$10,409
2016-10-01$14,711
2016-11-01$14,770
2016-12-01$20,175
2017-01-01$20,365
2017-02-01$18,152
2017-03-01$24,960
2017-04-01$27,874
2017-05-01$26,881
2017-06-01$27,692
2017-07-01$30,694
2017-08-01$27,765
2017-09-01$31,863
2017-10-01$30,730
2017-11-01$28,729
2017-12-01$26,647
2018-01-01$33,272
2018-02-01$28,789
2018-03-01$23,224
2018-04-01$26,134
2018-05-01$16,536
2018-06-01$16,442
2018-07-01$19,351
2018-08-01$13,618
2018-09-01$14,406
2018-10-01$10,874
2018-11-01$10,709
2018-12-01$7,563
2019-01-01$8,641
2019-02-01$10,597
2019-03-01$8,979
2019-04-01$11,514
2019-05-01$7,633
2019-06-01$8,064
2019-07-01$7,457
2019-08-01$6,028
2019-09-01$7,625
2019-10-01$8,108
2019-11-01$9,027
2019-12-01$10,156
2020-01-01$8,407
2020-02-01$6,363
2020-03-01$1,189
2020-04-01$1,135
2020-05-01$1,220
2020-06-01$1,458
2020-07-01$1,146
2020-08-01$1,327
2020-09-01$872
2020-10-01$797
2020-11-01$1,956
2020-12-01$1,960
2021-01-01$1,610
2021-02-01$2,711
2021-03-01$3,056
2021-04-01$3,439
2021-05-01$4,236
2021-06-01$3,669
2021-07-01$3,477
2021-08-01$3,893
2021-09-01$4,287
2021-10-01$4,749
2021-11-01$3,608
2021-12-01$4,381
2022-01-01$5,118
2022-02-01$3,322
2022-03-01$2,737
2022-04-01$2,395
2022-05-01$3,002
2022-06-01$1,916
2022-07-01$1,859
2022-08-01$1,788
2022-09-01$1,690
2022-10-01$2,325
2022-11-01$2,974
2022-12-01$3,048
2023-01-01$4,645
2023-02-01$5,547
2023-03-01$3,309
2023-04-01$3,536
2023-05-01$3,135
2023-06-01$4,027
2023-07-01$4,739
2023-08-01$4,402
2023-09-01$4,352
2023-10-01$3,880
2023-11-01$4,864
2023-12-01$5,106
2024-01-01$5,406
2024-02-01$5,437
2024-03-01$8,092
2024-04-01$8,742
2024-05-01$10,030
2024-06-01$7,966
2024-07-01$9,229
2024-08-01$8,746
2024-09-01$8,969
2024-10-01$8,964
2024-11-01$7,902
2024-12-01$8,910
2025-01-01$12,072
2025-02-01$17,448
2025-03-01$17,661
2025-04-01$16,549
2025-05-01$22,093
2025-06-01$21,483
2025-07-01$27,533
2025-08-01$28,999
2025-09-01$32,235
2025-10-01$32,130
2025-11-01$36,633
2025-12-01$46,008
2026-01-01$51,516
2026-02-01$46,713
2026-03-01$31,832
2026-04-01$40,851
2026-05-01$47,765
2026-06-01$58,145
2026-07-01$67,056
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
97.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.82
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.42
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
88.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +416.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -80.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
201732.1%
2018-71.6%
201934.3%
2020-80.7%
2021123.6%
2022-30.4%
202367.5%
202474.5%
2025416.4%
202645.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202612.0-9.3-31.928.316.921.715.345.7%
202535.544.51.2-6.333.5-2.828.25.311.2-0.314.025.6416.4%
20245.90.648.88.014.7-20.615.8-5.22.6-0.1-11.812.874.5%
202352.419.4-40.46.9-11.328.417.7-7.1-1.2-10.825.45.067.5%
202216.8-35.1-17.6-12.525.4-36.2-3.0-3.8-5.537.627.92.5-30.4%
2021-17.968.512.712.523.2-13.4-5.211.910.110.8-24.021.4123.6%
2020-17.2-24.3-81.3-4.57.519.4-21.415.8-34.3-8.5145.30.2-80.7%
201914.322.6-15.328.2-33.75.6-7.5-19.226.56.311.312.534.3%
201824.9-13.5-19.312.5-36.7-0.617.7-29.65.8-24.5-1.5-29.4-71.6%
20170.9-10.937.511.7-3.63.010.8-9.514.8-3.6-6.5-7.232.1%
201618.0-11.841.30.436.6101.8%

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
102.0%
View full factor risk breakdown
FactorRisk Exposure
VTI.US49.7%
VEA.US49.9%
VWO.US2.2%
QQQ.US-8.2%
VTV.US-4.0%
IJR.US-2.3%
QUAL.US-10.8%
SHV.US8.4%
TLT.US-0.0%
LQD.US-0.7%
HYG.US8.1%
GLD.US-0.7%
USO.US0.9%
VNQ.US-3.5%
BTC-USD.CC0.2%
CPER.US0.4%
VIX.INDX-3.3%
UUP.US-1.2%
TIP.US2.0%
Idiosyncratic13.1%

WisdomTree EURO STOXX Banks 3x Daily Leveraged EUR 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%

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 →
+19.2%
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 →
+51.0%
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 →
0.0% 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 →
✦ 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 →
60
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+29.9%
50.0% retracement+43.1%
61.8% retracement+59.3%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

0LJI.XETRA — 10-Year Return & Risk Profile

WisdomTree EURO STOXX Banks 3x Daily Leveraged EUR (0LJI.XETRA) has delivered exceptional annualized growth of 20.9% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $66,545, representing a total return of 565%. Over this period, 0LJI.XETRA generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for 0LJI.XETRA was 2025, with a return of +416.4%. The worst year was 2020, when the asset declined 80.7%. 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 0.82 is considered strong 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.

0LJI.XETRA — Drawdown, Volatility & Downside Risk

0LJI.XETRA's annualized volatility of 88.2% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 0LJI.XETRA 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 97.6% — 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 98% drawdown, for example, requires a 4072% gain just to break even.

When evaluating 0LJI.XETRA 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.

0LJI.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 49.9% of 0LJI.XETRA's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, 0LJI.XETRA 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 0LJI.XETRA allocation.

The second-largest macro driver is US Equity (broad market), contributing 49.7% of variance. 13.1% of 0LJI.XETRA'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 0LJI.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 0LJI.XETRA 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 EURO STOXX Banks 3x Daily Leveraged EUR a high-risk investment?

WisdomTree EURO STOXX Banks 3x Daily Leveraged EUR (0LJI.XETRA) has an annualized volatility of 102.0% and experienced a maximum drawdown of 97.6% over the last 10 years. Its primary macro risk driver is VEA.US.

What is the 10-year return of 0LJI.XETRA?

Over the past 10 years, 0LJI.XETRA has generated a Compound Annual Growth Rate (CAGR) of 20.9%. A $10,000 investment would have grown to approximately $66,545. It has had a positive return in 70% of calendar years.

What is 0LJI.XETRA's Sharpe ratio?

0LJI.XETRA has a Sharpe ratio of 0.82 and a Sortino ratio of 1.42 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 0LJI.XETRA's dividend yield?

0LJI.XETRA 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 0LJI.XETRA above its 200-day moving average?

0LJI.XETRA is currently above its 200-day moving average by 51.0%. 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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