Altura Energy Inc

10-Year Study

ATUUF.US · Energy · US · Common Stock

Executive Summary: Altura Energy Inc has compounded at 34.7% annually over the last 10 years, with a maximum drawdown of 83.0% and an annualized volatility of 145.8%.

1Y CAGR
+311.2%
3Y CAGR
+214.7%
5Y CAGR
+105.5%
10Y CAGR
+34.7%

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 →
83.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.88
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.95
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
69.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +218.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -56.2%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
63%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202643.922.935.20.9141.2%
20251.2-6.6-0.025.613.414.3-9.226.2-13.532.4-10.412.7103.8%
2024-12.710.5-7.19.7-8.8-1.999.620.6-7.318.245.2-5.4218.9%
202314.410.8-17.37.80.037.820.95.1-2.46.02.0-2.0104.7%
2022-19.7-2.43.0-8.511.0-6.0-23.17.9-33.825.9-11.527.0-40.2%
202125.911.16.7-6.2-5.124.8-2.0-8.049.812.5-17.815.4139.0%
20204.1-18.0-49.842.9-12.9-4.79.3-17.5-17.3-10.623.14.8-56.2%
201926.8-3.7-7.69.1-11.6-0.1-8.6-18.2-4.7-1.10.58.9-16.3%
2018-1.87.3-14.5-6.3-17.4-7.4-2.4-37.1%

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 145.8%. The dominant macroeconomic risk driver is SHV.US, accounting for 76.1% of variance. Idiosyncratic stock-specific factors contribute 11.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2018-05-0110000
2018-06-019823.646299056134
2018-07-0110541.931987535561
2018-08-019010.748317752788
2018-09-018442.848755814479
2018-10-016970.374384681388
2018-11-016451.474506616086
2018-12-016294.540035225578
2019-01-017978.367881497539
2019-02-017682.111728311429
2019-03-017096.82518177302
2019-04-017741.950051935148
2019-05-016847.310662511854
2019-06-016838.730072709208
2019-07-016249.379036264281
2019-08-015110.41864246037
2019-09-014871.065347965497
2019-10-014817.097954206747
2019-11-014838.775233708169
2019-12-015268.707943819717
2020-01-015483.900103870297
2020-02-014496.680666576344
2020-03-012258.049948064851
2020-04-013225.8501558054463
2020-05-012810.820575351126
2020-06-012679.627873368559
2020-07-012928.6907826401116
2020-08-012417.242469403423
2020-09-011999.9548390010386
2020-10-011787.2465338933296
2020-11-012200.0180643995845
2020-12-012305.243191979406
2021-01-012903.174818226979
2021-02-013225.8501558054463
2021-03-013440.8165108612197
2021-04-013227.4307907690913
2021-05-013062.1415345707446
2021-06-013821.523732104954
2021-07-013744.2984238811355
2021-08-013446.2358307365757
2021-09-015161.22476629183
2021-10-015806.349636453958
2021-11-014773.517590209095
2021-12-015508.5128483042035
2022-01-014422.842433274624
2022-02-014318.746330668834
2022-03-014448.13259269295
2022-04-014070.135031386894
2022-05-014516.099896129702
2022-06-014245.133902361919
2022-07-013265.817639886194
2022-08-013522.557918981168
2022-09-012332.3397913561844
2022-10-012935.4649324843062
2022-11-012596.7574402745786
2022-12-013296.7529241746824
2023-01-013770.9434132683014
2023-02-014177.392403919975
2023-03-013454.8164205392222
2023-04-013725.782414307004
2023-05-013725.782414307004
2023-06-015135.934606873505
2023-07-016209.637357178341
2023-08-016525.76434990742
2023-09-016367.7008535428795
2023-10-016751.569344713905
2023-11-016887.052341597796
2023-12-016747.053244817775
2024-01-015893.510364449261
2024-02-016514.474100167095
2024-03-016051.573860813802
2024-04-016638.666847310661
2024-05-016051.573860813802
2024-06-015938.671363410558
2024-07-0111854.762227340467
2024-08-0114293.455998974969
2024-09-0113254.752936727367
2024-10-0115670.866768776721
2024-11-0122749.852796064526
2024-12-0121519.21540209364
2025-01-0121767.602274585093
2025-02-0120322.449532583658
2025-03-0120317.933760011052
2025-04-0125515.964843821665
2025-05-0128925.620782226208
2025-06-0133071.39933262716
2025-07-0130036.58051252397
2025-08-0137912.66069531532
2025-09-0132786.88627955488
2025-10-0143399.71845132658
2025-11-0138906.19957150415
2025-12-0143855.8480897118
2026-01-0163089.916754860715
2026-02-0177550.46741633925
2026-03-01104863.83958813167
2026-04-01105789.64006683827
Annual Return Matrix
YearAnnual Return
2019-0.16297173195580428
2020-0.5624651780739724
20211.3895582329317269
2022-0.4015167042426726
20231.0465753424657533
20242.1894242747560884
20251.0379854595184255
20261.412212844463396
Total Factor Risk
1.457875954997114
VTI.US Exposure
0.010976798187087484
VEA.US Exposure
0.001759816116079886
VWO.US Exposure
0.003422882362891884
QQQ.US Exposure
0.018606956963868403
VTV.US Exposure
0.01389229793301236
IJR.US Exposure
0.020774719973301194
QUAL.US Exposure
0.0002599381340341804
SHV.US Exposure
0.7613229672011361
TLT.US Exposure
0.009655376789191617
LQD.US Exposure
0.019117528093385603
HYG.US Exposure
0.002317316973250959
GLD.US Exposure
0.000011342162705490309
USO.US Exposure
0.008384052717764367
VNQ.US Exposure
0.015495045635947464
BTC-USD.CC Exposure
0.003398749555273595
CPER.US Exposure
0.00006332015841650201
VIX.INDX Exposure
-0.0003965529193649246
UUP.US Exposure
0.00007680807360692036
TIP.US Exposure
0.0006730632080601218
Idiosyncratic Exposure
0.11018757268035077
Value Score
47.6
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
145.8%

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 →6.0x
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$1.4B
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 →
+18.9%
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 →
+104.3%
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 →
5.4% 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 →
0.88
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Altura Energy Inc a high-risk investment?

Altura Energy Inc (ATUUF.US) has an annualized volatility of 145.8% and experienced a maximum drawdown of 83.0% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ATUUF.US has generated a Compound Annual Growth Rate (CAGR) of 34.7%. It has had a positive return in 63% 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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