Leverage Shares 5x Long US Tech 100 ETP Securities GBP (5QQQ.LSE)
10-Year Study5QQQ.LSE · GB · ETF
About Leverage Shares 5x Long US Tech 100 ETP Securities GBP (5QQQ.LSE)
Leverage Shares 5x Long US Tech 100 ETP Securities GBP (5QQQ.LSE) is listed on global equity exchanges in the Unknown sector.
Fundamental Snapshot
Leverage Shares 5x Long US Tech 100 ETP Securities GBP (5QQQ.LSE) charges an annual expense ratio of 3.00%, manages approximately institutional assets in net assets, and maintains a portfolio of 1 holdings. At the portfolio level, its underlying basket trades at 5.40x sales and 7.11x book value.
Executive Summary: Leverage Shares 5x Long US Tech 100 ETP Securities GBP has compounded at -18.1% annually over the last 10 years, with a maximum drawdown of 95.6% and an annualized volatility of 107.8%.
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
View full price history data
| Date | Value |
|---|---|
| 2021-12-01 | $10,000 |
| 2022-01-01 | $5,361 |
| 2022-02-01 | $4,246 |
| 2022-03-01 | $5,112 |
| 2022-04-01 | $2,570 |
| 2022-05-01 | $1,675 |
| 2022-06-01 | $1,052 |
| 2022-07-01 | $1,540 |
| 2022-08-01 | $1,249 |
| 2022-09-01 | $758 |
| 2022-10-01 | $715 |
| 2022-11-01 | $652 |
| 2022-12-01 | $441 |
| 2023-01-01 | $677 |
| 2023-02-01 | $658 |
| 2023-03-01 | $906 |
| 2023-04-01 | $879 |
| 2023-05-01 | $1,273 |
| 2023-06-01 | $1,635 |
| 2023-07-01 | $1,882 |
| 2023-08-01 | $1,706 |
| 2023-09-01 | $1,341 |
| 2023-10-01 | $1,082 |
| 2023-11-01 | $1,672 |
| 2023-12-01 | $2,209 |
| 2024-01-01 | $2,334 |
| 2024-02-01 | $2,752 |
| 2024-03-01 | $2,897 |
| 2024-04-01 | $2,343 |
| 2024-05-01 | $2,634 |
| 2024-06-01 | $3,921 |
| 2024-07-01 | $3,127 |
| 2024-08-01 | $2,883 |
| 2024-09-01 | $3,117 |
| 2024-10-01 | $3,043 |
| 2024-11-01 | $3,748 |
| 2024-12-01 | $3,907 |
| 2025-01-01 | $4,151 |
| 2025-02-01 | $2,926 |
| 2025-03-01 | $1,740 |
| 2025-04-01 | $1,371 |
| 2025-05-01 | $2,102 |
| 2025-06-01 | $2,662 |
| 2025-07-01 | $3,179 |
| 2025-08-01 | $2,993 |
| 2025-09-01 | $3,677 |
| 2025-10-01 | $4,596 |
| 2025-11-01 | $3,874 |
| 2025-12-01 | $3,720 |
| 2026-01-01 | $3,698 |
| 2026-02-01 | $3,122 |
| 2026-03-01 | $2,141 |
| 2026-04-01 | $4,315 |
| 2026-05-01 | $7,088 |
| 2026-06-01 | $6,249 |
| 2026-07-01 | $4,004 |
Annual Returns
View full annual returns data
| Year | Return |
|---|---|
| 2022 | -95.6% |
| 2023 | 401.4% |
| 2024 | 76.8% |
| 2025 | -4.8% |
| 2026 | 7.6% |
Rolling 12-Month Returns
Rolling 12-Month Annualised Volatility
Historical Drawdowns
Monthly Returns
Monthly Returns Heatmap
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Ann. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -0.6 | -15.6 | -31.4 | 101.5 | 64.3 | -11.8 | -35.9 | — | — | — | — | — | 7.6% |
| 2025 | 6.2 | -29.5 | -40.6 | -21.2 | 53.4 | 26.6 | 19.5 | -5.9 | 22.9 | 25.0 | -15.7 | -4.0 | -4.8% |
| 2024 | 5.7 | 17.9 | 5.2 | -19.1 | 12.4 | 48.9 | -20.3 | -7.8 | 8.1 | -2.4 | 23.2 | 4.2 | 76.8% |
| 2023 | 53.7 | -2.8 | 37.6 | -3.0 | 44.8 | 28.5 | 15.1 | -9.3 | -21.4 | -19.3 | 54.5 | 32.2 | 401.4% |
| 2022 | -46.4 | -20.8 | 20.4 | -49.7 | -34.8 | -37.2 | 46.4 | -18.9 | -39.3 | -5.7 | -8.9 | -32.4 | -95.6% |
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.
View full factor risk breakdown
| Factor | Risk Exposure |
|---|---|
| VTI.US | 3.1% |
| VEA.US | -0.8% |
| VWO.US | 1.4% |
| QQQ.US | 57.0% |
| VTV.US | 0.0% |
| IJR.US | 2.0% |
| QUAL.US | -4.0% |
| SHV.US | 34.2% |
| TLT.US | 1.2% |
| LQD.US | 0.1% |
| HYG.US | -2.3% |
| GLD.US | 0.2% |
| USO.US | -0.3% |
| VNQ.US | 1.7% |
| BTC-USD.CC | 0.1% |
| CPER.US | 0.8% |
| VIX.INDX | 0.3% |
| UUP.US | 1.0% |
| TIP.US | 0.2% |
| Idiosyncratic | 3.8% |
Leverage Shares 5x Long US Tech 100 ETP Securities GBP ETF Profile & Portfolio Fundamentals
Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.
Fund Structure & Fees
Portfolio Valuation Multiples
Market Sentiment & Squeeze Risk
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.
Based on $10,000 initial investment.
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).
In-Depth Analysis
5QQQ.LSE — 10-Year Return & Risk Profile
Leverage Shares 5x Long US Tech 100 ETP Securities GBP (5QQQ.LSE) has delivered negative annualized growth of 18.1% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $1,356, representing a total return of 86%. Over this period, 5QQQ.LSE generated positive annual returns in 6 out of 10 calendar years (60%).
The best single calendar year for 5QQQ.LSE was 2023, with a return of +401.4%. The worst year was 2022, when the asset declined 95.6%. 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 0.35 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.
5QQQ.LSE — Drawdown, Volatility & Downside Risk
5QQQ.LSE's annualized volatility of 110.5% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 5QQQ.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 95.6% — 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 96% drawdown, for example, requires a 2169% gain just to break even.
When evaluating 5QQQ.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.
5QQQ.LSE — Macroeconomic Factor Risk Exposure
The macroeconomic factor model attributes 57.0% of 5QQQ.LSE's return variance to US Growth / Technology. This means that when US Growth / Technology rises or falls sharply, 5QQQ.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 5QQQ.LSE allocation.
The second-largest macro driver is Short-Term Interest Rates, contributing 34.2% of variance. 3.8% of 5QQQ.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 5QQQ.LSE's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 5QQQ.LSE alongside assets with low correlation to US Growth / Technology — 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.
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Frequently Asked Questions & Methodology
Is Leverage Shares 5x Long US Tech 100 ETP Securities GBP a high-risk investment?
Leverage Shares 5x Long US Tech 100 ETP Securities GBP (5QQQ.LSE) has an annualized volatility of 107.8% and experienced a maximum drawdown of 95.6% over the last 10 years. Its primary macro risk driver is QQQ.US.
What is the 10-year return of 5QQQ.LSE?
Over the past 10 years, 5QQQ.LSE has generated a Compound Annual Growth Rate (CAGR) of -18.1%. A $10,000 investment would have grown to approximately $1,356. It has had a positive return in 60% of calendar years.
What is 5QQQ.LSE's Sharpe ratio?
5QQQ.LSE has a Sharpe ratio of 0.35 and a Sortino ratio of 0.78 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 5QQQ.LSE's dividend yield?
5QQQ.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 5QQQ.LSE above its 200-day moving average?
5QQQ.LSE is currently below its 200-day moving average by 5.3%. 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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