Actelis Networks Inc.

10-Year Study

ASNS.US · Technology · US · Common Stock

Executive Summary: Actelis Networks Inc. has compounded at -83.3% annually over the last 10 years, with a maximum drawdown of 99.9% and an annualized volatility of 489.7%.

1Y CAGR
-98.7%
3Y CAGR
-83.6%
5Y CAGR
-83.3%
10Y CAGR
-83.3%

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 →
99.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.12
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.45
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
244.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +19.6%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -96.3%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
25%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-6.1-60.298.4-64.6————————-73.7%
2025-3.7-22.8-24.7-2.0-7.5-9.6-18.5-27.71.949.1-43.6-84.0-96.3%
20240.9-3.5-5.5-24.3-44.1429.8-34.613.9-15.7-11.7-3.98.919.6%
202317.4-14.3-33.37.5-26.525.7-23.6-49.0-11.36.49.4-12.5-76.5%
2022—————15.2-9.0-14.5-32.7-24.1-13.0-17.5-67.1%

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 489.7%. The dominant macroeconomic risk driver is SHV.US, accounting for 89.7% of variance. Idiosyncratic stock-specific factors contribute 4.5%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2022-05-0110000
2022-06-0111517.241379310346
2022-07-0110482.758620689656
2022-08-018965.51724137931
2022-09-016034.482758620689
2022-10-014579.310450060614
2022-11-013986.20684393521
2022-12-013289.6552250303075
2023-01-013862.0689655172414
2023-02-013310.344827586207
2023-03-012206.8965517241377
2023-04-012372.413898336476
2023-05-011744.8275335903827
2023-06-012193.1033956593483
2023-07-011675.8620163490032
2023-08-01855.1723874848465
2023-09-01758.6206896551724
2023-10-01806.8965385700094
2023-11-01882.7586338437837
2023-12-01772.4137799493199
2024-01-01779.3103579817147
2024-02-01751.7241116227774
2024-03-01710.3448407403354
2024-04-01537.9310476368871
2024-05-01300.6896643803037
2024-06-011593.103474584119
2024-07-011041.3793366530847
2024-08-011186.206949168238
2024-09-011000
2024-10-01882.7586338437837
2024-11-01848.275875223094
2024-12-01924.1379047262258
2025-01-01889.655146105536
2025-02-01686.8965543549637
2025-03-01517.2413793103448
2025-04-01506.89654514707365
2025-05-01468.9655303955078
2025-06-01424.137937611547
2025-07-01345.5172571642645
2025-08-01249.655164521316
2025-09-01254.48276256692822
2025-10-01379.3103448275862
2025-11-01213.99999486988986
2025-12-0134.13793136333597
2026-01-0132.06896576388129
2026-02-0112.758620689655173
2026-03-0125.310344827586206
2026-04-018.972413793103447
Annual Return Matrix
YearAnnual Return
2023-0.7651991691797417
20240.1964285577438314
2025-0.9630597000850762
2026-0.7371717197035614
Total Factor Risk
4.896910983925884
VTI.US Exposure
0.045830783222797426
VEA.US Exposure
0.0013323124580218637
VWO.US Exposure
0.00015629076831887096
QQQ.US Exposure
-0.003322697343586207
VTV.US Exposure
0.0022499830515506753
IJR.US Exposure
0.0013203395334332642
QUAL.US Exposure
-0.001234816811099874
SHV.US Exposure
0.896566757749067
TLT.US Exposure
0.00001179739589584575
LQD.US Exposure
0.0012582125474874194
HYG.US Exposure
0.0005371900468375857
GLD.US Exposure
0.006503937966235073
USO.US Exposure
0.00007377059048607343
VNQ.US Exposure
0.00019328053882447716
BTC-USD.CC Exposure
-0.00041807703725994626
CPER.US Exposure
0.0022000286354525314
VIX.INDX Exposure
-0.000012678871459121452
UUP.US Exposure
0.0012721237959314265
TIP.US Exposure
0.00011882179846727414
Idiosyncratic Exposure
0.04536263996459845
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
489.7%

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
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$9.5M
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 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 →
-56.4%
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 →
-95.5%
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 →
98.4% 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 →
1.43
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Actelis Networks Inc. a high-risk investment?

Actelis Networks Inc. (ASNS.US) has an annualized volatility of 489.7% and experienced a maximum drawdown of 99.9% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ASNS.US has generated a Compound Annual Growth Rate (CAGR) of -83.3%. It has had a positive return in 25% 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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