Leverage Shares 2X Long COIN Daily ETF

10-Year Study

COIG.US · · US · ETF

Executive Summary: Leverage Shares 2X Long COIN Daily ETF has compounded at -57.3% annually over the last 10 years, with a maximum drawdown of 90.9% and an annualized volatility of 1200.4%.

1Y CAGR
-92.7%
3Y CAGR
-57.3%
5Y CAGR
-57.3%
10Y CAGR
-57.3%

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 →
90.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.16
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.36
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
124.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +-67.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -67.4%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
0%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-28.6-27.4-7.810.6-3.3-36.1-67.4%
202529.436.888.912.9-39.619.0-1.1-40.8-33.65.6%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 1200.4%. The dominant macroeconomic risk driver is HYG.US, accounting for 60.7% of variance. Idiosyncratic stock-specific factors contribute 0.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2025-03-0110000
2025-04-0112942.076878337652
2025-05-0117710.096369247553
2025-06-0133462.21062093186
2025-07-0137784.50355784242
2025-08-0122826.816419783663
2025-09-0127170.26439625209
2025-10-0126874.81737707564
2025-11-0115903.121495379119
2025-12-0110555.879832028651
2026-01-017532.827601176578
2026-02-015469.069083643386
2026-03-015040.851989859384
2026-04-015575.576231330719
2026-05-015388.823972372108
2026-06-013443.244774549391
Annual Return Matrix
YearAnnual Return
2026-0.6738078843885758
Total Factor Risk
12.003785353720366
VTI.US Exposure
-0.03632896328773293
VEA.US Exposure
0.07427028285178301
VWO.US Exposure
-0.0010968103739925792
QQQ.US Exposure
0.028716816019240535
VTV.US Exposure
-0.010683472708258566
IJR.US Exposure
0.12240347283990326
QUAL.US Exposure
0.09662192134344394
SHV.US Exposure
0.01307200824812822
TLT.US Exposure
-0.0008950568711731795
LQD.US Exposure
0.0027498469999436377
HYG.US Exposure
0.606889683985399
GLD.US Exposure
-0.0007154956711026809
USO.US Exposure
0.0010927720726745375
VNQ.US Exposure
-0.018241362181600954
BTC-USD.CC Exposure
0.027642480076435237
CPER.US Exposure
0.005207559645704176
VIX.INDX Exposure
0.005148975199097975
UUP.US Exposure
0.019007636873633094
TIP.US Exposure
0.06511247026615996
Idiosyncratic Exposure
0.000025234672313981975
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
1200.4%

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
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →No estimate availableN/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%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
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: 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 →
-37.9%
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 →
-74.7%
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 →
92.7% 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 →
✦ Death Cross
Bearish — 50 SMA below 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 →
24
OversoldNeutralOverbought
Oversold
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-88.6%
50.0% retracement-86.3%
61.8% retracement-82.8%
% distance of current price from each 52-week Fibonacci support level.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Leverage Shares 2X Long COIN Daily ETF a high-risk investment?

Leverage Shares 2X Long COIN Daily ETF (COIG.US) has an annualized volatility of 1200.4% and experienced a maximum drawdown of 90.9% over the last 10 years. Its primary macro risk driver is HYG.US.

What is the 10-year return of COIG.US?

Over the past 10 years, COIG.US has generated a Compound Annual Growth Rate (CAGR) of -57.3%. It has had a positive return in 0% 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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