Bitcoin Group SE

10-Year Study

ADE.XETRA · Financial Services · DE · Common Stock

Executive Summary: Bitcoin Group SE has compounded at 17.5% annually over the last 10 years, with a maximum drawdown of 100.0% and an annualized volatility of 2750.3%.

1Y CAGR
+224221.4%
3Y CAGR
+53.1%
5Y CAGR
-6.4%
10Y CAGR
+17.5%

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 →
100.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
3.42973373872593e+39
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
2.8421850729260017e+44
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
9882329.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +29599900.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -100.0%
% 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.
202628099900.74.0-0.11.429599900.7%
2025-15.50.1-25.623.7-97.3-99.60.00.00.00.00.00.0-100.0%
2024-11.818.6-100.00.04269900.123.7-100.04104900.1-18.7-2.3-13.6-57.6-80.4%
20236424900.4-29.9-16.9-100.04267400.0-27.6-0.7-100.00.01685900.048.921.53049900.0%
2022-27.29.8-2.9-11.8-18.7-100.02339899.9-4.0-19.3-100.010374900.3-100.0-100.0%
202183776.72.636.737.0-62.2108.9-18.83.0-12.57.1-0.6-16.382709.7%
20202.5-24.838.931.8113.23.210.3-46.9-44.742.3-14.818.444.3%
20192.45.5-0.9-99.917.4-26.330.710.422.028.611.1-6.5-99.7%
2018-43.352.6-26.715.3-12.9-21.030.3-5.3-13.3-20.6-12.2-21.9-70.7%
201715.85.7-6.0-5.715.98.244.4258.719.423.028.6-22.3933.8%
2016-1.443.4-6.50.95.2-13.110.63.940.0%

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 2750.3%. The dominant macroeconomic risk driver is LQD.US, accounting for 32.9% of variance. Idiosyncratic stock-specific factors contribute 29.1%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-04-0110000
2016-05-019862.133209129019
2016-06-0114137.866790870985
2016-07-0113218.444340940849
2016-08-0113333.255705635771
2016-09-0114023.05542617606
2016-10-0112179.319981369354
2016-11-0113469.026548672568
2016-12-0113995.34233814625
2017-01-0116206.800186306476
2017-02-0117124.126688402423
2017-03-0116091.988821611554
2017-04-0115170.004657661855
2017-05-0117586.166744294365
2017-06-0119036.795528644623
2017-07-0127494.177922682815
2017-08-0198608.98928737776
2017-09-01117700.74522589661
2017-10-01144827.2007452259
2017-11-01186183.27899394507
2017-12-01144689.33395435495
2018-01-0182022.82254308338
2018-02-01125172.10060549605
2018-03-0191723.80065207268
2018-04-01105792.73404750817
2018-05-0192183.74476013043
2018-06-0172781.32277596647
2018-07-0194804.37820214254
2018-08-0189792.73404750817
2018-09-0177838.84489986027
2018-10-0161838.844899860276
2018-11-0154298.78900791802
2018-12-0142413.60037261295
2019-01-0143448.0670703307
2019-02-0145838.84489986027
2019-03-0145448.0670703307
2019-04-0153.56311142222517
2019-05-0162.878436656624544
2019-06-0146.34373479934421
2019-07-0160.5496053480247
2019-08-0166.83744684479434
2019-09-0181.50908278763768
2019-10-01104.7973958736361
2019-11-01116.4415480788497
2019-12-01108.87284957923944
2020-01-01111.55099842678297
2020-02-0183.83790975845189
2020-03-01116.4415480788497
2020-04-01153.4699533060089
2020-05-01327.20073162260087
2020-06-01337.680474680193
2020-07-01372.612939971405
2020-08-01197.9506308664874
2020-09-01109.45504981526454
2020-10-01155.79878895239437
2020-11-01132.743362901263
2020-12-01157.14950599279524
2021-01-01131811.82690759454
2021-02-01135188.6335283199
2021-03-01184862.59257898922
2021-04-01253260.36329762463
2021-05-0195631.81183046111
2021-06-01199767.11406450137
2021-07-01162114.57734447776
2021-08-01166977.17034988865
2021-09-01146064.27857639294
2021-10-01156497.43117895248
2021-11-01155519.3264538819
2021-12-01130135.07468121852
2022-01-0194736.84281596597
2022-02-01103982.30443846976
2022-03-01100954.81712650465
2022-04-0189007.92086796256
2022-05-0172380.06502959026
2022-06-012.794597244985891
2022-07-0165393.572248966135
2022-08-0162761.9952560304
2022-09-0150652.07265952492
2022-10-010.4657661736086983
2022-11-0148323.24173265022
2022-12-010.4657661736086983
2023-01-0129925.47829871851
2023-02-0120987.424508438147
2023-03-0117449.930206142475
2023-04-010.4657661736086983
2023-05-0119876.57160552424
2023-06-0114389.846066180418
2023-07-0114285.514895506221
2023-08-010.4657661736086983
2023-09-010.4657661736086983
2023-10-017852.817836560702
2023-11-0111690.731208492116
2023-12-0114205.868431841101
2024-01-0112531.904603472189
2024-02-0114857.941579974195
2024-03-010.23288308680434916
2024-04-010.23288308680434916
2024-05-019944.108013336083
2024-06-0112296.227782506638
2024-07-010.23288308680434916
2024-08-019559.850999239605
2024-09-017767.815561032485
2024-10-017591.988799402089
2024-11-016557.987854544041
2024-12-012782.9530797673206
2025-01-012351.4204487225375
2025-02-012354.2152319500824
2025-03-011751.2807970442327
2025-04-012165.812778650576
2025-05-0158.22077403942485
2025-06-010.23288308680434916
2025-07-010.23288308680434916
2025-08-010.23288308680434916
2025-09-010.23288308680434916
2025-10-010.23288308680434916
2025-11-010.23288308680434916
2025-12-010.23288308680434916
2026-01-0165440.14904517933
2026-02-0168048.439683279
2026-03-0167955.28644620402
2026-04-0168933.39543549139
Annual Return Matrix
YearAnnual Return
20179.338391906283281
2018-0.7068643609487266
2019-0.9974330674919656
20200.4434223647137965
2021827.0972559161896
2022-0.9999964209020915
202330499.000293657657
2024-0.8040983489943074
2025-0.9999163179974189
2026295999.0074775891
Total Factor Risk
27.503391425927045
VTI.US Exposure
0.20168011346081335
VEA.US Exposure
0.02544295664145415
VWO.US Exposure
0.0000976195689560537
QQQ.US Exposure
0.014279714750713367
VTV.US Exposure
-0.003507366012229396
IJR.US Exposure
-0.004085277960768674
QUAL.US Exposure
0.009992077874791191
SHV.US Exposure
0.08641302774402836
TLT.US Exposure
0.00887032537722102
LQD.US Exposure
0.32933271666660036
HYG.US Exposure
-0.0020346039436595926
GLD.US Exposure
0.0011192342735465905
USO.US Exposure
-0.00019474770412836458
VNQ.US Exposure
0.04009738108024259
BTC-USD.CC Exposure
0.000015029510578495056
CPER.US Exposure
0.0015489683950334213
VIX.INDX Exposure
0.0007240365236853374
UUP.US Exposure
0.000508227617069963
TIP.US Exposure
-0.0013033445315219752
Idiosyncratic Exposure
0.2910039106675737
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
4.1
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
2750.3%

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 →0.34%
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$145.5M
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 →
-1.9%
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 →
+99.8%
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 →
37.8% 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 →
0.89
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 →
✦ Golden Cross
Bullish — 50 SMA above 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 →
48
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+0.7%
50.0% retracement+24.4%
61.8% retracement+62.9%
% distance of current price from each 52-week Fibonacci support level.

Frequently Asked Questions & Methodology

Is Bitcoin Group SE a high-risk investment?

Bitcoin Group SE (ADE.XETRA) has an annualized volatility of 2750.3% and experienced a maximum drawdown of 100.0% over the last 10 years. Its primary macro risk driver is LQD.US.

What is the 10-year return of ADE.XETRA?

Over the past 10 years, ADE.XETRA has generated a Compound Annual Growth Rate (CAGR) of 17.5%. 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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