Abaxx Technologies Inc

10-Year Study

ABXXF.US · Technology · US · Common Stock

Executive Summary: Abaxx Technologies Inc has compounded at 227.6% annually over the last 10 years, with a maximum drawdown of 72.8% and an annualized volatility of 139.4%.

1Y CAGR
+426.9%
3Y CAGR
+95.0%
5Y CAGR
+35.7%
10Y CAGR
+227.6%

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 →
72.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
4.983055877844368e+22
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
6.87885483655885e+26
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
606744.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +4796900.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -50.0%
% 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.
2026-15.9-1.49.514.3————————3.9%
2025-0.8-6.4-6.39.414.110.0-1.078.539.922.142.5-6.7380.3%
20245.55.5-8.7-5.5-7.414.9-18.41.61.4-4.810.3-12.2-20.8%
202319.0-5.5-16.6-5.412.31.81.8-0.3-10.5-14.941.160.277.3%
2022-19.3-1.3-34.0-21.7-23.4-2.0-1.285.1-5.629.97.4-13.2-35.4%
2021-22.50.028.2-0.3-9.5-1.42.14.2-12.63.03.41.7-10.9%
202050.0-33.30.00.00.050.0-33.350.00.0-33.3150.01918700.04796900.0%
20190.0100.0-25.0-33.350.00.033.3-25.0-33.30.00.00.00.0%
2018-50.0100.0-25.00.0—0.00.0-33.30.00.00.00.0-50.0%
2017150.0-20.0-25.0-33.30.00.00.00.00.00.0100.00.0100.0%
2016———100.0-25.00.0-33.3100.0-25.0-33.30.00.00.0%

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 139.4%. The dominant macroeconomic risk driver is SHV.US, accounting for 65.7% of variance. Idiosyncratic stock-specific factors contribute 9.6%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-03-0110000
2016-04-0120000
2016-05-0114999.999999999998
2016-06-0114999.999999999998
2016-07-0110000
2016-08-0120000
2016-09-0114999.999999999998
2016-10-0110000
2016-11-0110000
2016-12-0110000
2017-01-0125000
2017-02-0120000
2017-03-0114999.999999999998
2017-04-0110000
2017-05-0110000
2017-06-0110000
2017-07-0110000
2017-08-0110000
2017-09-0110000
2017-10-0110000
2017-11-0120000
2017-12-0120000
2018-01-0110000
2018-02-0120000
2018-03-0114999.999999999998
2018-04-0114999.999999999998
2018-06-0114999.999999999998
2018-07-0114999.999999999998
2018-08-0110000
2018-09-0110000
2018-10-0110000
2018-11-0110000
2018-12-0110000
2019-01-0110000
2019-02-0120000
2019-03-0114999.999999999998
2019-04-0110000
2019-05-0114999.999999999998
2019-06-0114999.999999999998
2019-07-0120000
2019-08-0114999.999999999998
2019-09-0110000
2019-10-0110000
2019-11-0110000
2019-12-0110000
2020-01-0114999.999999999998
2020-02-0110000
2020-03-0110000
2020-04-0110000
2020-05-0110000
2020-06-0114999.999999999998
2020-07-0110000
2020-08-0114999.999999999998
2020-09-0114999.999999999998
2020-10-0110000
2020-11-0125000
2020-12-01479699999.99999994
2021-01-01372000000
2021-02-01372000000
2021-03-01476999999.99999994
2021-04-01475500000
2021-05-01430499999.99999994
2021-06-01424500000
2021-07-01433500000
2021-08-01451499999.99999994
2021-09-01394500000
2021-10-01406500000
2021-11-01420150000
2021-12-01427500000
2022-01-01345000000
2022-02-01340650000
2022-03-01224850000
2022-04-01176099999.99999997
2022-05-01134850000
2022-06-01132149999.99999999
2022-07-01130499999.99999999
2022-08-01241500000
2022-09-01227999999.99999997
2022-10-01296099999.99999994
2022-11-01318000000
2022-12-01275999999.99999994
2023-01-01328500000
2023-02-01310500000
2023-03-01258900000
2023-04-01244950000
2023-05-01275150000
2023-06-01279999999.99999994
2023-07-01285000000
2023-08-01284200000
2023-09-01254499999.99999997
2023-10-01216500000
2023-11-01305500000
2023-12-01489350000
2024-01-01516500000
2024-02-01545000000
2024-03-01497499999.99999994
2024-04-01470000000
2024-05-01434999999.99999994
2024-06-01500000000
2024-07-01408000000
2024-08-01414499999.99999994
2024-09-01420500000
2024-10-01400150000
2024-11-01441500000
2024-12-01387500000
2025-01-01384500000
2025-02-01360000000
2025-03-01337300000
2025-04-01369000000
2025-05-01421000000
2025-06-01463000000
2025-07-01458500000
2025-08-01818450000
2025-09-011145350000
2025-10-011399000000
2025-11-011994000000
2025-12-011860999999.9999998
2026-01-011565950000
2026-02-011544699999.9999998
2026-03-011691499999.9999998
2026-04-011932999999.9999998
Annual Return Matrix
YearAnnual Return
20171
2018-0.5
20190
202047968.99999999999
2021-0.1088180112570355
2022-0.3543859649122808
20230.7730072463768118
2024-0.20813323796873406
20253.8025806451612905
20260.03868887694787748
Total Factor Risk
1.3936677236685098
VTI.US Exposure
0.22963739291260543
VEA.US Exposure
0.018410552426511875
VWO.US Exposure
-0.00032209687415903196
QQQ.US Exposure
-0.023295661061236924
VTV.US Exposure
-0.018461552234537257
IJR.US Exposure
0.013647378317337464
QUAL.US Exposure
-0.013886146299757025
SHV.US Exposure
0.6574235879959166
TLT.US Exposure
-0.0007782248207180657
LQD.US Exposure
0.008453650374579949
HYG.US Exposure
0.025107195102290127
GLD.US Exposure
-0.002137681311002404
USO.US Exposure
0.0036573930886982667
VNQ.US Exposure
0.00733430577572384
BTC-USD.CC Exposure
-0.001393761282649432
CPER.US Exposure
0.005585120634543507
VIX.INDX Exposure
-0.004095002875639454
UUP.US Exposure
-0.0007528066120384072
TIP.US Exposure
-0.0001816692570344139
Idiosyncratic Exposure
0.0960480260005653
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
139.4%

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$1.3B
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 →
+20.2%
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 →
+49.5%
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 →
8.5% 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 →
1.48
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Abaxx Technologies Inc a high-risk investment?

Abaxx Technologies Inc (ABXXF.US) has an annualized volatility of 139.4% and experienced a maximum drawdown of 72.8% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ABXXF.US has generated a Compound Annual Growth Rate (CAGR) of 227.6%. 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.

Run a Full Backtest on Abaxx Technologies Inc

stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.

Start a Free Backtest