WisdomTree NASDAQ 100 3x Daily Leveraged

10-Year Study

LQQ3.LSE · · GB · ETF

Executive Summary: WisdomTree NASDAQ 100 3x Daily Leveraged has compounded at 33.8% annually over the last 10 years, with a maximum drawdown of 77.1% and an annualized volatility of 49.4%.

1Y CAGR
+63.2%
3Y CAGR
+44.4%
5Y CAGR
+18.4%
10Y CAGR
+33.8%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
77.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.91
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.65
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
54.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +192.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -77.1%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
78%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.2-8.1-18.638.23.2%
20255.8-18.1-25.7-6.830.715.613.4-3.314.217.3-8.6-2.119.0%
20244.611.74.1-10.87.627.3-11.4-3.95.21.514.94.762.5%
202330.00.721.7-1.426.916.19.2-4.4-11.3-10.728.718.6192.1%
2022-29.3-10.415.8-30.7-18.2-23.734.0-8.3-22.2-2.1-4.5-19.3-77.1%
20211.8-4.02.717.5-6.621.97.213.9-12.116.911.41.189.9%
202010.2-20.1-28.635.116.520.114.733.1-12.7-11.625.715.2103.0%
201922.37.512.315.4-18.518.816.5-13.01.66.613.28.1121.8%
201817.5-0.1-18.86.418.44.16.019.2-1.7-25.2-4.8-24.7-16.8%
20174.011.1-7.910.56.5-4.615.03.44.648.5%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 49.4%. The dominant macroeconomic risk driver is QQQ.US, accounting for 72.6% of variance. Idiosyncratic stock-specific factors contribute 3.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2017-03-0110000
2017-04-0110398.40552779396
2017-05-0111555.016917640574
2017-06-0110636.888986355108
2017-07-0111749.201052704666
2017-08-0112516.672253859171
2017-09-0111940.200227452493
2017-10-0113733.894017607967
2017-11-0114200.920384041356
2017-12-0114854.120420801592
2018-01-0117455.145480011448
2018-02-0117436.90434365467
2018-03-0114157.392979108223
2018-04-0115063.65027375313
2018-05-0117832.4144529793
2018-06-0118564.851669738608
2018-07-0119676.005568700435
2018-08-0123458.638744486325
2018-09-0123063.128635161695
2018-10-0117245.32608521298
2018-11-0116411.164131370693
2018-12-0112353.951473133904
2019-01-0115108.72151581411
2019-02-0116236.089758204182
2019-03-0118238.927152487388
2019-04-0121044.94552299104
2019-05-0117160.68431709905
2019-06-0120393.483316396105
2019-07-0123751.16982144707
2019-08-0120669.70334295172
2019-09-0121001.901073858593
2019-10-0122389.854083069906
2019-11-0125340.93176071961
2019-12-0127404.57236377505
2020-01-0130202.19402071765
2020-02-0124139.73092644531
2020-03-0117231.52478353707
2020-04-0123275.650034475744
2020-05-0127116.770663342108
2020-06-0132571.10554199888
2020-07-0137373.59138615322
2020-08-0149756.78600674366
2020-09-0143442.23156618802
2020-10-0138420.75711602654
2020-11-0148301.37090536435
2020-12-0155626.779632769445
2021-01-0156640.17609703497
2021-02-0154378.854272488185
2021-03-0155861.30852878518
2021-04-0165644.9275366515
2021-05-0161342.33569122702
2021-06-0174777.07738891858
2021-07-0180148.07864952587
2021-08-0191295.43975644668
2021-09-0180234.94120360578
2021-10-0193765.23171078523
2021-11-01104472.48921036784
2021-12-01105610.38866881457
2022-01-0174701.796508716
2022-02-0166895.7483154021
2022-03-0177452.44405457957
2022-04-0153663.685910563654
2022-05-0143871.38064728933
2022-06-0133494.200853210335
2022-07-0144873.19543767754
2022-08-0141143.8964491804
2022-09-0132020.432852321323
2022-10-0131348.695767436748
2022-11-0129947.313228280986
2022-12-0124176.744218906144
2023-01-0131421.08122917
2023-02-0131635.342195900423
2023-03-0138494.58854974338
2023-04-0137973.41322526396
2023-05-0148173.97249271383
2023-06-0155930.7985720491
2023-07-0161093.32970286463
2023-08-0158423.7538741423
2023-09-0151819.30434560039
2023-10-0146257.205466017316
2023-11-0159515.32663707974
2023-12-0170610.5702115526
2024-01-0173885.28850036491
2024-02-0182496.26302815256
2024-03-0185860.73928951411
2024-04-0176575.13225837256
2024-05-0182423.87756641931
2024-06-01104889.42946995138
2024-07-0192911.08326233285
2024-08-0189251.27431709964
2024-09-0193881.04844955842
2024-10-0195305.59433646883
2024-11-01109548.15778710348
2024-12-01114745.43393955097
2025-01-01121399.10558207148
2025-02-0199414.1931444482
2025-03-0173865.0205710796
2025-04-0168812.51534209862
2025-05-0189917.22056504554
2025-06-01103931.04595660312
2025-07-01117886.9629787741
2025-08-01114001.31139293313
2025-09-01130140.37394097897
2025-10-01152591.4487521644
2025-11-01139443.3534829365
2025-12-01136501.60831809716
2026-01-01136235.2298189188
2026-02-01125226.84879852584
2026-03-01101959.26597898934
2026-04-01140902.64439147888
Annual Return Matrix
YearAnnual Return
2018-0.1683148430765694
20191.2182839574343216
20201.0298357111494338
20210.8985529877160108
2022-0.7710760795065112
20231.9205988023952094
20240.6250461311354409
20250.18960383547817306
20260.03224164262684548
Total Factor Risk
0.49350794337389137
VTI.US Exposure
0.21212346095581167
VEA.US Exposure
0.01724180720420418
VWO.US Exposure
-0.004365714298711429
QQQ.US Exposure
0.7259132382217237
VTV.US Exposure
-0.048114480891952485
IJR.US Exposure
0.0030935925561341245
QUAL.US Exposure
0.0015910972588219303
SHV.US Exposure
0.06429514836786139
TLT.US Exposure
0.04758252251297248
LQD.US Exposure
-0.035673027831293815
HYG.US Exposure
-0.04082728002603457
GLD.US Exposure
0.0007561473113415576
USO.US Exposure
-0.005755759204909748
VNQ.US Exposure
0.012724644242876833
BTC-USD.CC Exposure
-0.0013382201941252187
CPER.US Exposure
0.005810282158454039
VIX.INDX Exposure
-0.0060791940179763
UUP.US Exposure
0.01687192074490037
TIP.US Exposure
0.0038858428815458194
Idiosyncratic Exposure
0.03026397204835526
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
49.4%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →N/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Market Cap$0
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
0.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

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 →
+16.5%
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 →
+10.9%
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 →
9.5% 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

Frequently Asked Questions & Methodology

Is WisdomTree NASDAQ 100 3x Daily Leveraged a high-risk investment?

WisdomTree NASDAQ 100 3x Daily Leveraged (LQQ3.LSE) has an annualized volatility of 49.4% and experienced a maximum drawdown of 77.1% over the last 10 years. Its primary macro risk driver is QQQ.US.

What is the 10-year return of LQQ3.LSE?

Over the past 10 years, LQQ3.LSE has generated a Compound Annual Growth Rate (CAGR) of 33.8%. It has had a positive return in 78% of the years measured.

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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