GraniteShares ETF Trust - GraniteShares 2x Long Tilray Daily ETF

10-Year Study

AAPB.US · · US · ETF

Executive Summary: GraniteShares ETF Trust - GraniteShares 2x Long Tilray Daily ETF has compounded at 13.1% annually over the last 10 years, with a maximum drawdown of 42.2% and an annualized volatility of 59.1%.

1Y CAGR
+61.2%
3Y CAGR
+12.6%
5Y CAGR
+13.1%
10Y CAGR
+13.1%

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 →
42.2%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.44
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.97
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
43.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +77.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -9.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
50%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-9.61.8-8.57.4————————-9.6%
2025-12.54.2-16.9-13.3-12.13.12.822.018.711.95.6-5.4-0.9%
2024-9.4-5.0-11.3-2.726.017.99.75.22.5-7.310.110.447.0%
202319.03.319.94.07.415.51.5-8.3-16.1-1.319.21.477.2%
2022————————-21.417.8-7.8-21.2-32.7%

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 59.1%. The dominant macroeconomic risk driver is QQQ.US, accounting for 62.5% of variance. Idiosyncratic stock-specific factors contribute 18.9%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2022-08-0110000
2022-09-017862.077186062513
2022-10-019264.874002394794
2022-11-018541.776157167857
2022-12-016730.834872972959
2023-01-018008.744791864199
2023-02-018276.723357913386
2023-03-019926.74746839901
2023-04-0110325.572827211798
2023-05-0111091.852823094052
2023-06-0112809.60301679065
2023-07-0112997.77316638402
2023-08-0111916.810697470295
2023-09-019995.611349807928
2023-10-019868.665579437278
2023-11-0111768.030037872424
2023-12-0111927.863594250326
2024-01-0110811.412657734047
2024-02-0110266.136416585847
2024-03-019102.98157308728
2024-04-018858.896769194926
2024-05-0111159.308001972182
2024-06-0113158.527797493593
2024-07-0114441.151451776319
2024-08-0115194.10295448265
2024-09-0115578.407841055008
2024-10-0114435.950088585714
2024-11-0115889.947823825494
2024-12-0117536.070911918163
2025-01-0115349.927126734465
2025-02-0115988.611181847242
2025-03-0113293.54651698299
2025-04-0111528.00879897273
2025-05-0110131.171877963014
2025-06-0110447.913223924104
2025-07-0110738.701934798744
2025-08-0113101.421164130099
2025-09-0115547.25384277796
2025-10-0117390.812008647266
2025-11-0118371.9733213413
2025-12-0117372.986503546133
2026-01-0115698.201737038582
2026-02-0115986.552308917628
2026-03-0114623.415886913694
2026-04-0115701.615131632414
Annual Return Matrix
YearAnnual Return
20230.772122451279492
20240.4701770164752055
2025-0.009299940060187084
2026-0.0962051845013846
Total Factor Risk
0.5912556875796984
VTI.US Exposure
-0.22003163354726968
VEA.US Exposure
-0.08445176296801603
VWO.US Exposure
0.041296204850467845
QQQ.US Exposure
0.6248741994635234
VTV.US Exposure
0.17614896613126624
IJR.US Exposure
0.07506909834813617
QUAL.US Exposure
-0.005006360700288894
SHV.US Exposure
0.030078713645389256
TLT.US Exposure
0.010395640563769844
LQD.US Exposure
-0.02644705175171456
HYG.US Exposure
0.09451810976188162
GLD.US Exposure
-0.0016509537252220369
USO.US Exposure
0.019772167834639538
VNQ.US Exposure
0.02956848760405359
BTC-USD.CC Exposure
-0.011902221424285023
CPER.US Exposure
0.006139583331174492
VIX.INDX Exposure
-0.00044994754416774057
UUP.US Exposure
0.030879780707289223
TIP.US Exposure
0.022615345986882293
Idiosyncratic Exposure
0.18858363343249052
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
59.1%

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 →
+0.7%
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 →
+4.0%
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 →
18.8% 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 →
1.68
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is GraniteShares ETF Trust - GraniteShares 2x Long Tilray Daily ETF a high-risk investment?

GraniteShares ETF Trust - GraniteShares 2x Long Tilray Daily ETF (AAPB.US) has an annualized volatility of 59.1% and experienced a maximum drawdown of 42.2% over the last 10 years. Its primary macro risk driver is QQQ.US.

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

Over the past 10 years, AAPB.US has generated a Compound Annual Growth Rate (CAGR) of 13.1%. It has had a positive return in 50% 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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