Direxion Daily GOOGL Bull 1.5X Shares

10-Year Study

GGLL.US · · US · ETF

Executive Summary: Direxion Daily GOOGL Bull 1.5X Shares has compounded at 62.0% annually over the last 10 years, with a maximum drawdown of 44.8% and an annualized volatility of 64.7%.

1Y CAGR
+266.2%
3Y CAGR
+63.0%
5Y CAGR
+62.0%
10Y CAGR
+62.0%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
44.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.50
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
2.81
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
53.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +123.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 9.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
100%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202615.8-16.4-16.835.3————————9.0%
202514.3-31.8-19.02.614.24.317.221.528.332.027.0-5.6123.1%
2024-0.9-2.512.912.310.910.6-12.7-10.82.14.9-3.823.448.9%
202317.5-13.922.54.521.8-4.615.63.1-6.6-8.59.57.981.2%
2022—————————-3.09.1-18.8-14.2%

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 64.7%. The dominant macroeconomic risk driver is SHV.US, accounting for 18.3% of variance. Idiosyncratic stock-specific factors contribute 19.6%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2022-09-0110000
2022-10-019695.176560900714
2022-11-0110575.36890139884
2022-12-018582.661634254519
2023-01-0110086.894404640052
2023-02-018683.043329921527
2023-03-0110634.062606618902
2023-04-0111108.889883998634
2023-05-0113536.015864892528
2023-06-0112917.572927328556
2023-07-0114934.535994541111
2023-08-0115402.646281132718
2023-09-0114391.845786421016
2023-10-0113163.809280109177
2023-11-0114416.101586489252
2023-12-0115551.592886386898
2024-01-0115414.747526441486
2024-02-0115028.520556124187
2024-03-0116972.18312862504
2024-04-0119052.531132719207
2024-05-0121123.01688843398
2024-06-0123366.918287273966
2024-07-0120409.52320027294
2024-08-0118210.028573865577
2024-09-0118586.33998635278
2024-10-0119503.955561241895
2024-11-0118765.886216308427
2024-12-0123152.5609860116
2025-01-0126468.78198567042
2025-02-0118039.065165472533
2025-03-0114618.41095189355
2025-04-0114995.468696690548
2025-05-0117120.17016376663
2025-06-0117855.840583418627
2025-07-0120923.47961446605
2025-08-0125424.66308427158
2025-09-0132619.999573524394
2025-10-0143059.4293756397
2025-11-0154702.42664619583
2025-12-0151646.19583759808
2026-01-0159813.20368474923
2026-02-0150004.26475605595
2026-03-0141608.026270897295
2026-04-0156300.11088365745
Annual Return Matrix
YearAnnual Return
20230.8119778629415457
20240.48875817127891885
20251.2306904134191408
20260.0901114781172585
Total Factor Risk
0.6471087008857584
VTI.US Exposure
0.11127638470500567
VEA.US Exposure
0.01758544469532349
VWO.US Exposure
0.007618370288903976
QQQ.US Exposure
0.0635093505085915
VTV.US Exposure
0.04237774645655566
IJR.US Exposure
0.07575373059167728
QUAL.US Exposure
0.09186288079066182
SHV.US Exposure
0.1827682321296422
TLT.US Exposure
-0.022686133163183263
LQD.US Exposure
0.09692571978291398
HYG.US Exposure
0.13810100262499092
GLD.US Exposure
0.017692591068687348
USO.US Exposure
-0.0007070063687912427
VNQ.US Exposure
-0.012744643414531433
BTC-USD.CC Exposure
-0.012521381108101979
CPER.US Exposure
0.0007676879015126976
VIX.INDX Exposure
-0.01885269458460175
UUP.US Exposure
-0.0017232856291129156
TIP.US Exposure
0.027003390354327687
Idiosyncratic Exposure
0.1959926123695283
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
64.7%

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
$309
Avg Yield on Cost
3.09%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$309.193.09%Solid

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 →
+16.1%
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 →
+38.7%
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 →
8.7% 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 →
1.22
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Direxion Daily GOOGL Bull 1.5X Shares a high-risk investment?

Direxion Daily GOOGL Bull 1.5X Shares (GGLL.US) has an annualized volatility of 64.7% and experienced a maximum drawdown of 44.8% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, GGLL.US has generated a Compound Annual Growth Rate (CAGR) of 62.0%. It has had a positive return in 100% 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.

Run a Full Backtest on Direxion Daily GOOGL Bull 1.5X Shares

stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.

Start a Free Backtest