Lexibook Linguistic Electronic System SA

10-Year Study

ALLEX.PA · Consumer Cyclical · FR · Common Stock

Executive Summary: Lexibook Linguistic Electronic System SA has compounded at 18.4% annually over the last 10 years, with a maximum drawdown of 65.6% and an annualized volatility of 52.1%.

1Y CAGR
+50.8%
3Y CAGR
+42.8%
5Y CAGR
+13.9%
10Y CAGR
+18.4%

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 →
65.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.52
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.94
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
57.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +214.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -45.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20265.4-12.1-10.718.1-2.439.633.0%
202539.3-5.8-5.5-9.5-2.924.60.0-0.71.516.8-2.8-4.248.9%
202440.03.3-6.6-1.20.6-10.730.9-0.80.51.50.00.059.0%
202315.0-9.3-8.27.21.912.51.82.7-14.8-3.516.3-8.47.7%
202221.1-13.5-0.2-1.66.4-25.0-9.1-18.5-27.42.743.6-16.8-45.8%
20219.927.35.254.526.2-3.19.7-14.9-3.24.95.413.0214.7%
2020-2.6-56.1-0.38.0-1.011.011.98.7-6.5-6.128.212.3-22.2%
20197.1-7.3-1.2-2.7-13.529.4-8.7-4.92.137.663.0-1.7108.9%
2018-11.36.3-3.9-5.1-19.6-1.9-7.74.71.5-6.54.3-14.3-44.4%
20171.50.029.32.3-7.4-0.624.7-8.93.3-0.5-10.6-10.715.3%
2016-29.78.010.8-7.3-2.6-18.99.2-32.8%

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 52.1%. The dominant macroeconomic risk driver is VTI.US, accounting for 17.2% of variance. Idiosyncratic stock-specific factors contribute 33.9%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-05-0110000
2016-06-017025.641025641026
2016-07-017589.74358974359
2016-08-018410.25641025641
2016-09-017794.871794871795
2016-10-017589.74358974359
2016-11-016153.846153846154
2016-12-016717.948717948719
2017-01-016820.51282051282
2017-02-016820.51282051282
2017-03-018820.51282051282
2017-04-019025.641025641025
2017-05-018358.974358974358
2017-06-018307.692307692309
2017-07-0110358.97435897436
2017-08-019435.897435897437
2017-09-019743.589743589744
2017-10-019692.307692307691
2017-11-018666.666666666666
2017-12-017743.589743589744
2018-01-016871.794871794872
2018-02-017307.6923076923085
2018-03-017025.641025641026
2018-04-016666.666666666667
2018-05-015358.974358974358
2018-06-015256.410256410257
2018-07-014851.282051282051
2018-08-015076.923076923076
2018-09-015153.846153846153
2018-10-014820.51282051282
2018-11-015025.641025641025
2018-12-014307.692307692308
2019-01-014615.384615384615
2019-02-014276.923076923077
2019-03-014225.641025641025
2019-04-014112.820512820513
2019-05-013558.974358974359
2019-06-014605.128205128205
2019-07-014205.128205128205
2019-08-014000
2019-09-014082.051282051282
2019-10-015615.384615384615
2019-11-019153.846153846154
2019-12-019000
2020-01-018769.23076923077
2020-02-013846.153846153846
2020-03-013835.8974358974356
2020-04-014143.589743589744
2020-05-014102.5641025641025
2020-06-014553.846153846154
2020-07-015097.435897435898
2020-08-015538.461538461539
2020-09-015179.48717948718
2020-10-014861.538461538462
2020-11-016230.7692307692305
2020-12-017000.000000000001
2021-01-017692.307692307692
2021-02-019794.871794871795
2021-03-0110307.692307692307
2021-04-0115923.076923076924
2021-05-0120102.5641025641
2021-06-0119487.17948717949
2021-07-0121384.615384615383
2021-08-0118205.128205128203
2021-09-0117615.384615384613
2021-10-0118487.17948717949
2021-11-0119487.17948717949
2021-12-0122025.641025641027
2022-01-0126666.666666666668
2022-02-0123076.923076923078
2022-03-0123025.641025641027
2022-04-0122666.666666666668
2022-05-0124128.205128205132
2022-06-0118102.5641025641
2022-07-0116461.53846153846
2022-08-0113410.256410256412
2022-09-019733.333333333332
2022-10-0110000
2022-11-0114358.97435897436
2022-12-0111948.71794871795
2023-01-0113743.589743589744
2023-02-0112461.538461538461
2023-03-0111435.897435897436
2023-04-0112256.410256410258
2023-05-0112487.179487179486
2023-06-0114051.282051282053
2023-07-0114307.692307692309
2023-08-0114692.307692307693
2023-09-0112512.820512820514
2023-10-0112076.923076923076
2023-11-0114051.282051282053
2023-12-0112871.794871794871
2024-01-0118025.641025641027
2024-02-0118615.384615384617
2024-03-0117384.615384615387
2024-04-0117179.48717948718
2024-05-0117282.05128205128
2024-06-0115435.897435897434
2024-07-0120205.128205128203
2024-08-0120051.28205128205
2024-09-0120153.846153846152
2024-10-0120461.538461538465
2024-11-0120461.538461538465
2024-12-0120461.538461538465
2025-01-0128512.820512820515
2025-02-0126871.794871794875
2025-03-0125384.615384615387
2025-04-0122974.358974358976
2025-05-0122307.69230769231
2025-06-0127794.871794871793
2025-07-0127794.871794871793
2025-08-0127589.74358974359
2025-09-0128000.000000000004
2025-10-0132717.94871794872
2025-11-0131794.871794871797
2025-12-0130461.538461538465
2026-01-0132102.564102564105
2026-02-0128205.128205128207
2026-03-0125179.48717948718
2026-04-0129743.589743589746
2026-05-0129025.64102564103
2026-06-0140512.82051282052
Annual Return Matrix
YearAnnual Return
20170.15267175572519087
2018-0.4437086092715232
20191.0892857142857144
2020-0.2222222222222222
20212.1465201465201464
2022-0.4575087310826542
20230.07725321888411996
20240.5896414342629483
20250.4887218045112782
20260.32996632996633
Total Factor Risk
0.5211385277754708
VTI.US Exposure
0.1723924416233275
VEA.US Exposure
0.15264165545675137
VWO.US Exposure
-0.0003225254573251267
QQQ.US Exposure
-0.046260587791188905
VTV.US Exposure
0.09433806122040643
IJR.US Exposure
-0.015053039580389059
QUAL.US Exposure
0.054462190236553014
SHV.US Exposure
0.1155170167744606
TLT.US Exposure
-0.01513723727667924
LQD.US Exposure
0.05817334609277667
HYG.US Exposure
0.04323524922728389
GLD.US Exposure
-0.01224221788782066
USO.US Exposure
0.004266644648143532
VNQ.US Exposure
-0.03933454907936108
BTC-USD.CC Exposure
-0.0025730757741558937
CPER.US Exposure
0.002466820189962477
VIX.INDX Exposure
-0.049798668539983465
UUP.US Exposure
-0.002622280077820614
TIP.US Exposure
0.1468019636463214
Idiosyncratic Exposure
0.339048792348737
Value Score
47.5
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
52.1%

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 →6.3x
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$42.7M
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 →
+37.2%
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 →
+35.9%
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 →
0.0% 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 →
1.80
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 →
75
OversoldNeutralOverbought
Overbought
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+20.0%
50.0% retracement+27.9%
61.8% retracement+37.0%
% distance of current price from each 52-week Fibonacci support level.

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Frequently Asked Questions & Methodology

Is Lexibook Linguistic Electronic System SA a high-risk investment?

Lexibook Linguistic Electronic System SA (ALLEX.PA) has an annualized volatility of 52.1% and experienced a maximum drawdown of 65.6% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, ALLEX.PA has generated a Compound Annual Growth Rate (CAGR) of 18.4%. It has had a positive return in 70% 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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