Antipa Minerals Ltd

10-Year Study

AZY.AU · Basic Materials · AU · Common Stock

Executive Summary: Antipa Minerals Ltd has compounded at 6.2% annually over the last 10 years, with a maximum drawdown of 83.1% and an annualized volatility of 71.5%.

1Y CAGR
+12.9%
3Y CAGR
+74.4%
5Y CAGR
+9.7%
10Y CAGR
+6.2%

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 →
83.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.51
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.41
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
77.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +275.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -57.1%
% 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.
202627.5-9.2-19.426.818.3%
202530.88.829.711.518.78.7-21.713.910.6-15.416.5-10.4130.8%
2024-11.8-20.00.00.020.8-31.010.09.1100.012.5-14.813.052.9%
20239.5-21.75.62.6-28.2-7.115.4-6.7-7.17.77.113.3-19.0%
2022-12.24.7-2.2-2.34.7-28.96.30.0-23.5-3.8-12.0-4.5-57.1%
2021-6.7-16.7-20.057.12.3-8.943.9-20.30.06.414.0-14.08.9%
20200.08.30.038.547.2-5.780.06.72.1-2.0-6.20.0275.0%
20190.014.3-4.2-13.0-5.0-26.321.4-5.90.0-12.5-14.30.0-42.9%
20180.0-9.5-10.5-5.9-25.08.37.70.014.30.087.5-30.00.0%
2017-9.55.3-5.0-5.35.626.3-8.30.00.0-4.54.8-4.5-0.0%
201610.077.338.5-25.9-22.59.7-17.6-14.3-12.55.0%

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 71.5%. The dominant macroeconomic risk driver is LQD.US, accounting for 29.4% of variance. Idiosyncratic stock-specific factors contribute 31.5%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-03-0110000
2016-04-0110999.999999999998
2016-05-0119500
2016-06-0127000
2016-07-0120000
2016-08-0115499.999999999998
2016-09-0117000
2016-10-0114000.000000000002
2016-11-0112000
2016-12-0110499.999999999998
2017-01-019500
2017-02-0110000
2017-03-019500
2017-04-019000
2017-05-019500
2017-06-0112000
2017-07-0110999.999999999998
2017-08-0110999.999999999998
2017-09-0110999.999999999998
2017-10-0110499.999999999998
2017-11-0110999.999999999998
2017-12-0110499.999999999998
2018-01-0110499.999999999998
2018-02-019500
2018-03-018500
2018-04-017999.999999999999
2018-05-016000
2018-06-016500
2018-07-017000.000000000001
2018-08-017000.000000000001
2018-09-017999.999999999999
2018-10-017999.999999999999
2018-11-0114999.999999999998
2018-12-0110499.999999999998
2019-01-0110499.999999999998
2019-02-0112000
2019-03-0111500
2019-04-0110000
2019-05-019500
2019-06-017000.000000000001
2019-07-018500
2019-08-017999.999999999999
2019-09-017999.999999999999
2019-10-017000.000000000001
2019-11-016000
2019-12-016000
2020-01-016000
2020-02-016500
2020-03-016500
2020-04-019000
2020-05-0113250
2020-06-0112500
2020-07-0122500
2020-08-0124000
2020-09-0124499.999999999996
2020-10-0124000
2020-11-0122500
2020-12-0122500
2021-01-0120999.999999999996
2021-02-0117499.999999999996
2021-03-0114000.000000000002
2021-04-0121999.999999999996
2021-05-0122500
2021-06-0120500
2021-07-0129499.999999999996
2021-08-0123499.999999999996
2021-09-0123499.999999999996
2021-10-0125000
2021-11-0128499.999999999996
2021-12-0124499.999999999996
2022-01-0121500
2022-02-0122500
2022-03-0121999.999999999996
2022-04-0121500
2022-05-0122500
2022-06-0115999.999999999998
2022-07-0117000
2022-08-0117000
2022-09-0113000
2022-10-0112500
2022-11-0110999.999999999998
2022-12-0110499.999999999998
2023-01-0111500
2023-02-019000
2023-03-019500
2023-04-019750
2023-05-017000.000000000001
2023-06-016500
2023-07-017499.999999999999
2023-08-017000.000000000001
2023-09-016500
2023-10-017000.000000000001
2023-11-017499.999999999999
2023-12-018500
2024-01-017499.999999999999
2024-02-016000
2024-03-016000
2024-04-016000
2024-05-017249.999999999999
2024-06-015000
2024-07-015499.999999999999
2024-08-016000
2024-09-0112000
2024-10-0113500
2024-11-0111500
2024-12-0113000
2025-01-0117000
2025-02-0118500
2025-03-0124000
2025-04-0126750
2025-05-0131750
2025-06-0134500
2025-07-0127000
2025-08-0130749.999999999996
2025-09-0134000
2025-10-0128749.999999999996
2025-11-0133500
2025-12-0129999.999999999996
2026-01-0138250
2026-02-0134750
2026-03-0128000.000000000004
2026-04-0135500
Annual Return Matrix
YearAnnual Return
20170
20180
2019-0.4285714285714286
20202.7500000000000004
20210.0888888888888888
2022-0.5714285714285714
2023-0.19047619047619035
20240.5294117647058822
20251.3076923076923075
20260.18333333333333335
Total Factor Risk
0.7154892886257544
VTI.US Exposure
0.18750279352433596
VEA.US Exposure
0.09560321751373875
VWO.US Exposure
-0.015494655894162908
QQQ.US Exposure
-0.0027120535005587085
VTV.US Exposure
-0.012416456381705698
IJR.US Exposure
-0.005624695255138228
QUAL.US Exposure
0.04710519577632596
SHV.US Exposure
0.00355408821112482
TLT.US Exposure
0.0011480077170263794
LQD.US Exposure
0.2942703408690641
HYG.US Exposure
-0.0007716420906060215
GLD.US Exposure
0.013792679755271089
USO.US Exposure
-0.00002784600896990578
VNQ.US Exposure
-0.0017104155887835769
BTC-USD.CC Exposure
0.009980939833774983
CPER.US Exposure
0.01973919482261881
VIX.INDX Exposure
0.007345138846661016
UUP.US Exposure
-0.009392178035353128
TIP.US Exposure
0.0531424967301894
Idiosyncratic Exposure
0.3149658491551469
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
71.5%

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$381.0M
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 →
+13.3%
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 →
+14.4%
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 →
15.0% 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 →
1.32
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Antipa Minerals Ltd a high-risk investment?

Antipa Minerals Ltd (AZY.AU) has an annualized volatility of 71.5% and experienced a maximum drawdown of 83.1% over the last 10 years. Its primary macro risk driver is LQD.US.

What is the 10-year return of AZY.AU?

Over the past 10 years, AZY.AU has generated a Compound Annual Growth Rate (CAGR) of 6.2%. 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 Antipa Minerals Ltd

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

Start a Free Backtest