Hydrogen Refueling Solutions

10-Year Study

ALHRS.PA · Consumer Cyclical · FR · Common Stock

Executive Summary: Hydrogen Refueling Solutions has compounded at 187.9% annually over the last 10 years, with a maximum drawdown of 96.9% and an annualized volatility of 99.2%.

1Y CAGR
-49.2%
3Y CAGR
-54.3%
5Y CAGR
-42.8%
10Y CAGR
+187.9%

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 →
96.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.517870384879891e+21
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.5314209373095137e+25
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
325969.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +656208.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · -81.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
33%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-12.3-26.824.231.7————————4.9%
202532.4-0.1-21.814.8-4.1-1.2-11.8-2.42.9-7.9-30.9-8.1-41.7%
2024-13.6-22.8-25.4-41.352.8-22.7-1.7-16.43.4-22.0-15.5-5.2-81.6%
202325.7-14.5-20.55.3-3.511.5-0.9-6.1-16.6-11.614.33.6-21.4%
2022-19.8-4.36.2-11.7-1.4-6.720.90.9-11.717.7-6.5-3.8-24.5%
20210.0781644.69.6-10.6-11.0-9.015.21.9-1.50.2-11.12.8656208.5%
2020———————0.00.00.00.00.00.0%

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 99.2%. The dominant macroeconomic risk driver is SHV.US, accounting for 73.2% of variance. Idiosyncratic stock-specific factors contribute 13.6%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2020-07-0110000
2020-08-0110000
2020-09-0110000
2020-10-0110000
2020-11-0110000
2020-12-0110000
2021-01-0110000
2021-02-0178174460.89340417
2021-03-0185678299.1600861
2021-04-0176606654.3923522
2021-05-0168206793.77521741
2021-06-0162046756.42197427
2021-07-0171454758.48948877
2021-08-0172798559.40292753
2021-09-0171678764.07710198
2021-10-0171790650.56478834
2021-11-0163838801.12287999
2021-12-0165630845.8237857
2022-01-0152638986.966700286
2022-02-0150399163.702808656
2022-03-0153535009.317153156
2022-04-0147263085.47622365
2022-05-0146591068.713384
2022-06-0143455223.099039525
2022-07-0152549431.25410311
2022-08-0152997442.42932953
2022-09-0146815074.30099723
2022-10-0155103048.43044565
2022-11-0151518959.02863422
2022-12-0149547802.902534135
2023-01-0162270762.00958749
2023-02-0153266109.56712108
2023-03-0142335195.160973445
2023-04-0144575251.03710559
2023-05-0143007211.92381309
2023-06-0147935102.23906329
2023-07-0147487091.06383687
2023-08-0144575251.03710559
2023-09-0137183299.258110024
2023-10-0132882531.543280616
2023-11-0137586416.27091761
2023-12-0138930449.79659689
2024-01-0133644104.01871744
2024-02-0125983485.10193032
2024-03-0119375669.185701262
2024-04-0111378925.581374068
2024-05-0117382182.284512013
2024-06-0113439637.420071336
2024-07-0113215864.444698632
2024-08-0111043033.506074503
2024-09-0111423819.743792918
2024-10-018915096.72986922
2024-11-017537567.041556182
2024-12-017145382.804052673
2025-01-019463829.005237417
2025-02-019452663.617692834
2025-03-017391951.778995567
2025-04-018489416.32973196
2025-05-018142358.86688781
2025-06-018041405.15450553
2025-07-017089555.866329753
2025-08-016921377.216439458
2025-09-017123052.028963503
2025-10-016563154.366050724
2025-11-014535938.68998721
2025-12-014168411.3499779897
2026-01-013656664.4208512274
2026-02-012675040.765889893
2026-03-013321702.7945137103
2026-04-014373110.121628694
Annual Return Matrix
YearAnnual Return
20216562.08458237857
2022-0.24505311061255308
2023-0.21428504361379486
2024-0.8164577383157468
2025-0.4166286867634612
20260.049107142857142794
Total Factor Risk
0.9921003494842532
VTI.US Exposure
0.010247367510430816
VEA.US Exposure
0.06648355289572157
VWO.US Exposure
-0.010733362937602655
QQQ.US Exposure
0.032371303904449575
VTV.US Exposure
-0.008345146871237403
IJR.US Exposure
0.003774561389148396
QUAL.US Exposure
-0.020385335413260652
SHV.US Exposure
0.73155848468902
TLT.US Exposure
0.000029990812221259067
LQD.US Exposure
-0.0008514073476539436
HYG.US Exposure
0.0015034688811942853
GLD.US Exposure
-0.0012948671917601053
USO.US Exposure
0.0005408608311170529
VNQ.US Exposure
0.004091801137782469
BTC-USD.CC Exposure
0.005529351929176765
CPER.US Exposure
0.00011761241197297326
VIX.INDX Exposure
0.012283160196510884
UUP.US Exposure
0.0021234304769729333
TIP.US Exposure
0.034687212818419105
Idiosyncratic Exposure
0.13626795987737667
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
99.2%

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$30.7M
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 →
+26.6%
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 →
-15.6%
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 →
49.9% 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 →
1.09
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 →
64
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-19.1%
50.0% retracement-0.0%
61.8% retracement+30.7%
% distance of current price from each 52-week Fibonacci support level.

Frequently Asked Questions & Methodology

Is Hydrogen Refueling Solutions a high-risk investment?

Hydrogen Refueling Solutions (ALHRS.PA) has an annualized volatility of 99.2% and experienced a maximum drawdown of 96.9% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of ALHRS.PA?

Over the past 10 years, ALHRS.PA has generated a Compound Annual Growth Rate (CAGR) of 187.9%. It has had a positive return in 33% 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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