WisdomTree Gold 3x Daily Short (3SGO.LSE)

10-Year Study

3SGO.LSE · GB · ETF

About WisdomTree Gold 3x Daily Short (3SGO.LSE)

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The Boost Gold 3x Short Daily ETP aims to replicate the inverse daily performance of the NASDAQ Commodity Gold Index ER multiplied by a leverage factor of three. The ETP provides a total return and is adjusted to reflect interest revenue earned from maintaining a fully collateralised futures position.

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

Fundamental Snapshot

WisdomTree Gold 3x Daily Short (3SGO.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 Gold 3x Daily Short has compounded at -34.0% annually over the last 10 years, with a maximum drawdown of 99.4% and an annualized volatility of 50.0%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-57.5%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-61.7%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-44.2%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-34.0%

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$11,110
2016-09-01$10,743
2016-10-01$12,716
2016-11-01$15,765
2016-12-01$16,507
2017-01-01$13,981
2017-02-01$12,644
2017-03-01$12,763
2017-04-01$11,767
2017-05-01$11,762
2017-06-01$12,371
2017-07-01$11,453
2017-08-01$10,434
2017-09-01$10,735
2017-10-01$11,373
2017-11-01$10,830
2017-12-01$10,319
2018-01-01$9,002
2018-02-01$9,619
2018-03-01$8,846
2018-04-01$9,538
2018-05-01$10,361
2018-06-01$11,754
2018-07-01$12,776
2018-08-01$13,924
2018-09-01$13,826
2018-10-01$13,095
2018-11-01$13,175
2018-12-01$12,005
2019-01-01$10,631
2019-02-01$10,015
2019-03-01$10,714
2019-04-01$11,242
2019-05-01$11,202
2019-06-01$8,649
2019-07-01$8,662
2019-08-01$7,035
2019-09-01$7,797
2019-10-01$6,833
2019-11-01$7,532
2019-12-01$7,255
2020-01-01$5,801
2020-02-01$5,952
2020-03-01$5,210
2020-04-01$4,200
2020-05-01$4,051
2020-06-01$3,638
2020-07-01$2,608
2020-08-01$2,535
2020-09-01$2,880
2020-10-01$2,947
2020-11-01$3,316
2020-12-01$2,716
2021-01-01$2,784
2021-02-01$3,139
2021-03-01$3,457
2021-04-01$3,053
2021-05-01$2,402
2021-06-01$2,981
2021-07-01$2,667
2021-08-01$2,777
2021-09-01$3,016
2021-10-01$2,868
2021-11-01$2,938
2021-12-01$2,786
2022-01-01$2,761
2022-02-01$2,304
2022-03-01$2,142
2022-04-01$2,368
2022-05-01$2,609
2022-06-01$2,836
2022-07-01$3,029
2022-08-01$3,424
2022-09-01$3,865
2022-10-01$3,981
2022-11-01$3,107
2022-12-01$2,830
2023-01-01$2,274
2023-02-01$2,820
2023-03-01$2,094
2023-04-01$2,032
2023-05-01$2,132
2023-06-01$2,290
2023-07-01$2,109
2023-08-01$2,411
2023-09-01$2,733
2023-10-01$2,231
2023-11-01$2,010
2023-12-01$1,902
2024-01-01$2,078
2024-02-01$2,077
2024-03-01$1,617
2024-04-01$1,467
2024-05-01$1,393
2024-06-01$1,396
2024-07-01$1,298
2024-08-01$1,099
2024-09-01$938
2024-10-01$868
2024-11-01$953
2024-12-01$1,041
2025-01-01$821
2025-02-01$797
2025-03-01$591
2025-04-01$470
2025-05-01$459
2025-06-01$452
2025-07-01$467
2025-08-01$394
2025-09-01$293
2025-10-01$256
2025-11-01$214
2025-12-01$195
2026-01-01$117
2026-02-01$94
2026-03-01$133
2026-04-01$125
2026-05-01$129
2026-06-01$186
2026-07-01$180
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
99.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.63
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.03
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
47.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · +16.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -81.3%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
30%

Annual Returns

View full annual returns data
YearReturn
2017-37.5%
201816.3%
2019-39.6%
2020-62.6%
20212.6%
20221.6%
2023-32.8%
2024-45.3%
2025-81.3%
2026-7.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-39.8-19.740.7-5.32.944.4-3.3-7.4%
2025-21.1-2.9-25.9-20.5-2.1-1.63.3-15.7-25.6-12.8-16.4-8.9-81.3%
20249.2-0.1-22.1-9.2-5.00.2-7.0-15.3-14.7-7.49.79.3-45.3%
2023-19.624.0-25.8-3.05.07.4-7.914.313.4-18.4-9.9-5.3-32.8%
2022-0.9-16.6-7.010.510.28.76.813.012.93.0-22.0-8.91.6%
20212.512.710.1-11.7-21.324.1-10.64.18.6-4.92.4-5.22.6%
2020-20.02.6-12.5-19.4-3.5-10.2-28.3-2.813.62.312.5-18.1-62.6%
2019-11.4-5.87.04.9-0.4-22.80.2-18.810.8-12.410.2-3.7-39.6%
2018-12.86.9-8.07.88.613.48.79.0-0.7-5.30.6-8.916.3%
2017-15.3-9.60.9-7.8-0.05.2-7.4-8.92.96.0-4.8-4.7-37.5%
201611.1-3.318.424.04.765.1%

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
50.0%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-2.9%
VEA.US-2.1%
VWO.US2.1%
QQQ.US4.3%
VTV.US3.3%
IJR.US-0.2%
QUAL.US-0.8%
SHV.US7.7%
TLT.US3.4%
LQD.US-3.5%
HYG.US0.9%
GLD.US73.8%
USO.US0.1%
VNQ.US-1.4%
BTC-USD.CC0.5%
CPER.US-0.8%
VIX.INDX0.0%
UUP.US7.2%
TIP.US4.4%
Idiosyncratic4.1%

WisdomTree Gold 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 →
+7.8%
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 →
+12.4%
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 →
59.6% 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 →
47
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-42.0%
50.0% retracement-33.0%
61.8% retracement-20.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

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

WisdomTree Gold 3x Daily Short (3SGO.LSE) has delivered negative annualized growth of 34.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $156, representing a total return of 98%. Over this period, 3SGO.LSE generated positive annual returns in 3 out of 10 calendar years (30%).

The best single calendar year for 3SGO.LSE was 2018, with a return of +16.3%. The worst year was 2025, when the asset declined 81.3%. 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 -0.63 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.

3SGO.LSE — Drawdown, Volatility & Downside Risk

3SGO.LSE's annualized volatility of 47.0% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 3SGO.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 99.4% — 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 99% drawdown, for example, requires a 17426% gain just to break even.

When evaluating 3SGO.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.

3SGO.LSE — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 73.8% of 3SGO.LSE's return variance to Gold. This means that when Gold rises or falls sharply, 3SGO.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 3SGO.LSE allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 7.7% of variance. 4.1% of 3SGO.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 3SGO.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 3SGO.LSE alongside assets with low correlation to Gold — 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 Gold 3x Daily Short a high-risk investment?

WisdomTree Gold 3x Daily Short (3SGO.LSE) has an annualized volatility of 50.0% and experienced a maximum drawdown of 99.4% over the last 10 years. Its primary macro risk driver is GLD.US.

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

Over the past 10 years, 3SGO.LSE has generated a Compound Annual Growth Rate (CAGR) of -34.0%. A $10,000 investment would have grown to approximately $156. It has had a positive return in 30% of calendar years.

What is 3SGO.LSE's Sharpe ratio?

3SGO.LSE has a Sharpe ratio of -0.63 and a Sortino ratio of -1.03 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 3SGO.LSE's dividend yield?

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

3SGO.LSE is currently above its 200-day moving average by 12.4%. 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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