Tradr 2X Long CEG Daily ETF

10-Year Study

CEGX.US · · US · ETF

Executive Summary: Tradr 2X Long CEG Daily ETF has compounded at -62.4% annually over the last 10 years, with a maximum drawdown of 62.7% and an annualized volatility of 736.7%.

1Y CAGR
-62.4%
3Y CAGR
-62.4%
5Y CAGR
-62.4%
10Y CAGR
-62.4%

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 →
62.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.58
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.28
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
86.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +-55.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -55.5%
% 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.
2026-39.134.2-31.022.7-17.4-22.2——————-55.5%
2025———————-22.611.226.8-7.9-8.9-8.4%

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 736.7%. The dominant macroeconomic risk driver is SHV.US, accounting for 23.7% of variance. Idiosyncratic stock-specific factors contribute 0.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2025-07-0110000
2025-08-017743.942370661427
2025-09-018612.311722331367
2025-10-0110920.104780615588
2025-11-0110055.664702030124
2025-12-019158.480681074001
2026-01-015579.5677799607065
2026-02-017485.265225933202
2026-03-015166.994106090374
2026-04-016339.2272429600525
2026-05-015235.756385068763
2026-06-014073.346430910282
Annual Return Matrix
YearAnnual Return
2026-0.5552377547372185
Total Factor Risk
7.366629609593449
VTI.US Exposure
0.07346471869397499
VEA.US Exposure
0.02605856197421007
VWO.US Exposure
0.047797336190327874
QQQ.US Exposure
0.01697762104511957
VTV.US Exposure
0.1027997989531679
IJR.US Exposure
-0.00027687773218047464
QUAL.US Exposure
0.012112274300442788
SHV.US Exposure
0.23703447650603124
TLT.US Exposure
0.0010728528236429113
LQD.US Exposure
0.014149677976871403
HYG.US Exposure
0.091063378926385
GLD.US Exposure
0.003952197251658293
USO.US Exposure
0.0024534868379357216
VNQ.US Exposure
0.04373997288894591
BTC-USD.CC Exposure
0.02160511826792221
CPER.US Exposure
0.0009532981919495497
VIX.INDX Exposure
0.17558058950300176
UUP.US Exposure
0.05034819304660678
TIP.US Exposure
0.07911332416971312
Idiosyncratic Exposure
1.8427326523572346e-10
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
736.7%

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
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 →
-25.4%
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 →
-46.9%
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 →
68.0% 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 →
43
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-56.8%
50.0% retracement-51.5%
61.8% retracement-44.8%
% distance of current price from each 52-week Fibonacci support level.

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Frequently Asked Questions & Methodology

Is Tradr 2X Long CEG Daily ETF a high-risk investment?

Tradr 2X Long CEG Daily ETF (CEGX.US) has an annualized volatility of 736.7% and experienced a maximum drawdown of 62.7% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, CEGX.US has generated a Compound Annual Growth Rate (CAGR) of -62.4%. 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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