Technoprobe S.p.A.

10-Year Study

0AB7.LSE · · GB · Common Stock

Executive Summary: Technoprobe S.p.A. has compounded at 14.2% annually over the last 10 years, with a maximum drawdown of 99.8% and an annualized volatility of 843.0%.

1Y CAGR
+98131.5%
3Y CAGR
+224.7%
5Y CAGR
+22.7%
10Y CAGR
+14.2%

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 →
99.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
33455.32
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1791205.46
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
5023.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +5017.6%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · -88.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
57%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026125.09.3-16.529.174.4-3.3346.7%
20254346.7-5.1-0.7-0.921.7-97.9-60.612167.922.113.133.4-45.05017.6%
2024673.1-0.2-9.1-10.921.70.7-8.5-12.9-13.4-2.0-6.7-97.7-88.7%
2023-81.4448.0-3.7-3.711.7-79.2-33.3682.5-4.3-8.311.4-84.3-82.4%
2022-15.5-19.718.6-20.4104.3-65.4231.3-3.5-8.1-0.77.5-8.230.4%
2021-2.09.54.9-10.4-9.86.48.8-8.05.4-17.1-27.2-21.4-51.5%
2020-3.136.350.4-2.5-9.629.9-44.5-8.7-18.428.63.0-14.07.1%
2019-22.4-22.4%

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 843.0%. The dominant macroeconomic risk driver is SHV.US, accounting for 40.2% of variance. Idiosyncratic stock-specific factors contribute 15.9%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2019-11-0110000
2019-12-017763.47229510247
2020-01-017524.478021192289
2020-02-0110253.643111697242
2020-03-0115419.01197691742
2020-04-0115033.536677494483
2020-05-0113584.150198671738
2020-06-0117639.349054586037
2020-07-019791.072458295404
2020-08-018943.027240706417
2020-09-017293.19269449137
2020-10-019382.468846773112
2020-11-019667.72048011779
2020-12-018310.84724969247
2021-01-018141.238647316143
2021-02-018912.189246162014
2021-03-019351.630852228709
2021-04-018380.232921226323
2021-05-017563.02569818174
2021-06-018048.723928447148
2021-07-018757.99853820421
2021-08-018054.120559111524
2021-09-018488.166269749627
2021-10-017038.779055691097
2021-11-015126.821555848621
2021-12-014030.5298572267684
2022-01-013407.6017057176127
2022-02-012736.8745891410526
2022-03-013246.4729452714746
2022-04-012582.6844326100895
2022-05-015275.383666251772
2022-06-011827.15283103642
2022-07-016052.5635502889145
2022-08-015838.4088497684625
2022-09-015365.816197376694
2022-10-015328.887509586555
2022-11-015727.160690706965
2022-12-015255.570164690611
2023-01-01979.1072458295404
2023-02-015365.816197376694
2023-03-015166.1169676317595
2023-04-014972.631215508711
2023-05-015556.395194822411
2023-06-011156.4258982688066
2023-07-01770.9505988458709
2023-08-016032.688288921784
2023-09-015774.419808898985
2023-10-015294.742056861812
2023-11-015895.84473408323
2023-12-01925.1407553768344
2024-01-017152.494298430294
2024-02-017138.771122496973
2024-03-016491.404101101097
2024-04-015785.984332566556
2024-05-017042.63389691362
2024-06-017092.745362334856
2024-07-016491.404101101097
2024-08-015654.922671943895
2024-09-014895.536229147702
2024-10-014799.938299012894
2024-11-014479.993829901289
2024-12-01104.84928714111578
2025-01-014662.323849453414
2025-02-014425.387500506394
2025-03-014394.418266374308
2025-04-014355.8709570027495
2025-05-015300.285367065363
2025-06-01109.47498862038813
2025-07-0143.17323486798364
2025-08-015296.430525842839
2025-09-016468.275789001741
2025-10-017316.321006590727
2025-11-019760.234463751001
2025-12-015365.816167967262
2026-01-0112073.086377926338
2026-02-0113190.964746252852
2026-03-0111009.174551519036
2026-04-0114208.6195367294
2026-05-0124778.352246906295
2026-06-0123968.854118118128
Annual Return Matrix
YearAnnual Return
20200.07050646074119538
2021-0.515027802084088
20220.3039402636522679
2023-0.8239694787841736
2024-0.8866666650109821
202550.1764678070291
20263.4669540229885056
Total Factor Risk
8.430020689890315
VTI.US Exposure
0.1189496155769529
VEA.US Exposure
0.04041343623958614
VWO.US Exposure
0.0074076679910416625
QQQ.US Exposure
0.021010108240518945
VTV.US Exposure
0.026323880523669813
IJR.US Exposure
0.004085482362307634
QUAL.US Exposure
0.038062157410681675
SHV.US Exposure
0.4019460601559414
TLT.US Exposure
0.014380532886521946
LQD.US Exposure
-0.0013534925969068573
HYG.US Exposure
0.10315398435803347
GLD.US Exposure
0.0008017051069527652
USO.US Exposure
0.0007801649658451765
VNQ.US Exposure
0.004992211282156425
BTC-USD.CC Exposure
-0.000023787773623706665
CPER.US Exposure
0.00017520842343125574
VIX.INDX Exposure
0.0010918856473748247
UUP.US Exposure
0.04160919504558188
TIP.US Exposure
0.016816137891603772
Idiosyncratic Exposure
0.15937784626232884
Value Score
50
Growth Score
50
Profit Score
58.1
Health Score
31.1
Yield Score
0
Moat Score
63.9

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
843.0%

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 →Extreme
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
3.0/ 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
1.55
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 →
+47.5%
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 →
+127.8%
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 →
8.2% 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 →
1.06
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 →
68
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+48.5%
50.0% retracement+83.5%
61.8% retracement+140.1%
% distance of current price from each 52-week Fibonacci support level.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Technoprobe S.p.A. a high-risk investment?

Technoprobe S.p.A. (0AB7.LSE) has an annualized volatility of 843.0% and experienced a maximum drawdown of 99.8% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of 0AB7.LSE?

Over the past 10 years, 0AB7.LSE has generated a Compound Annual Growth Rate (CAGR) of 14.2%. It has had a positive return in 57% 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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