Gold By Gold (ALGLD.PA)

10-Year Study

ALGLD.PA · Basic Materials · Common Stock

About Gold By Gold (ALGLD.PA)

Basic Materials

Gold By Gold (ALGLD.PA) is listed on global equity exchanges in the Basic Materials sector.

Source: EODHD Financial Datasets
Fundamentals updated: Latest Filing

Fundamental Snapshot

Gold By Gold (ALGLD.PA) operates in the Basic Materials market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: Gold By Gold has compounded at 17.3% annually over the last 10 years, with a maximum drawdown of 55.5% and an annualized volatility of 64.8%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+64.1%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+57.7%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+38.2%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+17.3%

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

View full price history data
DateValue
2016-06-01$10,000
2016-07-01$6,594
2016-08-01$6,869
2016-09-01$6,429
2016-10-01$5,990
2016-11-01$8,188
2016-12-01$8,023
2017-01-01$6,759
2017-02-01$7,144
2017-03-01$6,759
2017-04-01$7,254
2017-05-01$7,418
2017-06-01$7,858
2017-07-01$7,350
2017-08-01$7,915
2017-09-01$7,350
2017-10-01$7,350
2017-11-01$7,350
2017-12-01$6,615
2018-01-01$7,293
2018-02-01$7,519
2018-03-01$6,728
2018-04-01$7,858
2018-05-01$7,066
2018-06-01$6,954
2018-07-01$6,909
2018-08-01$7,612
2018-09-01$7,260
2018-10-01$8,725
2018-11-01$7,905
2018-12-01$8,198
2019-01-01$7,729
2019-02-01$7,436
2019-03-01$6,792
2019-04-01$6,733
2019-05-01$7,026
2019-06-01$6,324
2019-07-01$5,452
2019-08-01$6,118
2019-09-01$6,360
2019-10-01$5,936
2019-11-01$6,906
2019-12-01$7,087
2020-01-01$7,269
2020-02-01$8,056
2020-03-01$6,663
2020-04-01$6,966
2020-05-01$6,906
2020-06-01$6,300
2020-07-01$6,300
2020-08-01$6,615
2020-09-01$6,488
2020-10-01$6,740
2020-11-01$7,055
2020-12-01$6,488
2021-01-01$7,433
2021-02-01$7,244
2021-03-01$6,488
2021-04-01$6,929
2021-05-01$6,740
2021-06-01$6,804
2021-07-01$6,804
2021-08-01$6,804
2021-09-01$7,130
2021-10-01$7,850
2021-11-01$8,832
2021-12-01$9,290
2022-01-01$11,513
2022-02-01$11,448
2022-03-01$16,355
2022-04-01$16,616
2022-05-01$15,046
2022-06-01$12,756
2022-07-01$13,172
2022-08-01$15,111
2022-09-01$12,036
2022-10-01$12,169
2023-02-01$9,829
2023-03-01$10,230
2023-04-01$10,030
2023-05-01$9,829
2023-06-01$8,826
2023-07-01$9,321
2023-08-01$8,841
2023-09-01$8,704
2023-10-01$8,909
2023-11-01$8,361
2023-12-01$7,882
2024-01-01$7,882
2024-02-01$7,402
2024-03-01$7,882
2024-04-01$12,336
2024-05-01$13,707
2024-06-01$14,804
2024-07-01$14,483
2024-08-01$19,496
2024-09-01$26,180
2024-10-01$31,473
2024-11-01$34,118
2024-12-01$30,637
2025-01-01$27,852
2025-02-01$25,623
2025-03-01$22,560
2025-04-01$24,788
2025-05-01$22,421
2025-06-01$22,142
2025-07-01$20,025
2025-08-01$21,220
2025-09-01$20,939
2025-10-01$20,377
2025-11-01$20,306
2025-12-01$21,641
2026-01-01$31,619
2026-02-01$32,462
2026-03-01$34,429
2026-04-01$32,111
2026-05-01$43,002
2026-06-01$29,160
2026-07-01$33,375
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
55.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.43
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.87
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
47.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +288.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -35.2%
% 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

View full annual returns data
YearReturn
2017-17.6%
201823.9%
2019-13.6%
2020-8.4%
202143.2%
202231.0%
2023-35.2%
2024288.7%
2025-29.4%
202654.2%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202646.12.76.1-6.733.9-32.214.554.2%
2025-9.1-8.0-12.09.9-9.5-1.2-9.66.0-1.3-2.7-0.36.6-29.4%
20240.0-6.16.556.511.18.0-2.234.634.320.28.4-10.2288.7%
2023-19.24.1-2.0-2.0-10.25.6-5.1-1.52.4-6.2-5.7-35.2%
202223.9-0.642.91.6-9.4-15.23.314.7-20.41.131.0%
202114.6-2.5-10.46.8-2.70.90.00.04.810.112.55.243.2%
20202.610.8-17.34.5-0.9-8.80.05.0-1.93.94.7-8.0-8.4%
2019-5.7-3.8-8.7-0.94.4-10.0-13.812.24.0-6.716.32.6-13.6%
201810.33.1-10.516.8-10.1-1.6-0.610.2-4.620.2-9.43.723.9%
2017-15.85.7-5.47.32.35.9-6.57.7-7.10.00.0-10.0-17.6%
2016-34.14.2-6.4-6.836.7-2.0-19.8%

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.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
64.8%
View full factor risk breakdown
FactorRisk Exposure
VTI.US0.3%
VEA.US-0.0%
VWO.US0.9%
QQQ.US-0.6%
VTV.US3.7%
IJR.US0.6%
QUAL.US1.1%
SHV.US25.1%
TLT.US1.2%
LQD.US5.4%
HYG.US6.4%
GLD.US0.7%
USO.US1.1%
VNQ.US0.6%
BTC-USD.CC0.7%
CPER.US1.0%
VIX.INDX2.2%
UUP.US0.0%
TIP.US4.8%
Idiosyncratic44.8%

Gold By Gold Business Fundamentals

Company financial statements are not available for ALGLD.PA from our data provider. Return, risk, and factor analysis above are computed independently from daily price history.

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

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 →
-4.5%
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 →
+18.0%
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 →
40.6% 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 →
0.07
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 →
66
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-19.0%
50.0% retracement-8.7%
61.8% retracement+4.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

ALGLD.PA — 10-Year Return & Risk Profile

Gold By Gold (ALGLD.PA) has delivered strong annualized growth of 17.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $49,261, representing a total return of 393%. Over this period, ALGLD.PA generated positive annual returns in 5 out of 10 calendar years (50%).

The best single calendar year for ALGLD.PA was 2024, with a return of +288.7%. The worst year was 2023, when the asset declined 35.2%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.43 is considered weak on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

ALGLD.PA — Drawdown, Volatility & Downside Risk

ALGLD.PA's annualized volatility of 47.6% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in ALGLD.PA have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 55.5% — a catastrophic peak-to-trough decline. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 55% drawdown, for example, requires a 124% gain just to break even.

When evaluating ALGLD.PA for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

ALGLD.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 25.1% of ALGLD.PA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, ALGLD.PA tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their ALGLD.PA allocation.

The second-largest macro driver is High-Yield Corporate Credit, contributing 6.4% of variance. 44.8% of ALGLD.PA's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding ALGLD.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding ALGLD.PA alongside assets with low correlation to Short-Term Interest Rates — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

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

Frequently Asked Questions & Methodology

Is Gold By Gold a high-risk investment?

Gold By Gold (ALGLD.PA) has an annualized volatility of 64.8% and experienced a maximum drawdown of 55.5% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ALGLD.PA has generated a Compound Annual Growth Rate (CAGR) of 17.3%. A $10,000 investment would have grown to approximately $49,261. It has had a positive return in 50% of calendar years.

What is ALGLD.PA's Sharpe ratio?

ALGLD.PA has a Sharpe ratio of 0.43 and a Sortino ratio of 0.87 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is ALGLD.PA's dividend yield?

ALGLD.PA has an average trailing dividend yield of 0.63%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is ALGLD.PA above its 200-day moving average?

ALGLD.PA is currently above its 200-day moving average by 18.0%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

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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