3EDGE Dynamic Hard Assets ETF (EDGH.US)

10-Year Study

EDGH.US · US · ETF

About 3EDGE Dynamic Hard Assets ETF (EDGH.US)

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Under normal circumstances, the fund invests at least 80% of its net assets, plus any borrowings for investment purposes, in instruments providing exposure to hard assets, including derivatives and exchange-traded funds ("ETFs") with economic characteristics similar to such assets. The fund is non-diversified.

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

3EDGE Dynamic Hard Assets ETF (EDGH.US) charges an annual expense ratio of low annual fee, manages approximately $128.2M in net assets, and maintains a portfolio of 8 holdings.

Executive Summary: 3EDGE Dynamic Hard Assets ETF has compounded at 10.8% annually over the last 10 years, with a maximum drawdown of 17.1% and an annualized volatility of 13.4%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+25.4%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.8%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.8%

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
2023-09-01$10,000
2023-10-01$10,036
2024-04-01$10,945
2024-05-01$11,180
2024-06-01$11,526
2024-10-01$9,826
2024-11-01$9,604
2024-12-01$9,552
2025-01-01$9,962
2025-02-01$9,956
2025-03-01$10,437
2025-04-01$10,473
2025-05-01$10,453
2025-06-01$10,533
2025-07-01$10,509
2025-08-01$10,867
2025-09-01$11,542
2025-10-01$11,578
2025-11-01$12,105
2025-12-01$12,320
2026-01-01$13,200
2026-02-01$14,006
2026-03-01$13,451
2026-07-01$13,371
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
17.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.82
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.77
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
16.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +29.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · -4.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
67%

Annual Returns

View full annual returns data
YearReturn
2024-4.8%
202529.0%
20268.5%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20267.16.1-4.0-0.68.5%
20254.3-0.14.80.3-0.20.8-0.23.46.20.34.61.829.0%
20249.12.13.1-14.7-2.3-0.5-4.8%
20230.40.4%

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
13.4%
View full factor risk breakdown
FactorRisk Exposure
VTI.US6.5%
VEA.US0.4%
VWO.US-0.1%
QQQ.US-0.5%
VTV.US0.5%
IJR.US0.1%
QUAL.US-0.1%
SHV.US48.8%
TLT.US13.3%
LQD.US11.2%
HYG.US3.4%
GLD.US6.0%
USO.US-0.2%
VNQ.US0.6%
BTC-USD.CC0.6%
CPER.US-0.0%
VIX.INDX-0.3%
UUP.US0.0%
TIP.US2.2%
Idiosyncratic7.7%

3EDGE Dynamic Hard Assets ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Fund Size vs Peers
18th pct
larger than 18% of 1,446 ETFs we track
Holdings Count8
Distribution Yield
1.1%
38th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E
Portfolio Price-to-Sales
Portfolio Price-to-Book

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

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 →
-1.3%
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 →
+9.4%
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 →
6.4% 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 →
0.00
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 →
57
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+4.7%
50.0% retracement+8.7%
61.8% retracement+13.0%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

EDGH.US — 10-Year Return & Risk Profile

3EDGE Dynamic Hard Assets ETF (EDGH.US) has delivered solid annualized growth of 10.8% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $27,901, representing a total return of 179%. Over this period, EDGH.US generated positive annual returns in 7 out of 10 calendar years (67%).

The best single calendar year for EDGH.US was 2025, with a return of +29.0%. The worst year was 2024, when the asset declined 4.8%. 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 0.82 is considered strong 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.

EDGH.US — Drawdown, Volatility & Downside Risk

EDGH.US's annualized volatility of 16.5% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in EDGH.US 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 17.1% — a notable pullback. 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 17% drawdown, for example, requires a 21% gain just to break even.

When evaluating EDGH.US 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.

EDGH.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 48.8% of EDGH.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, EDGH.US 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 EDGH.US allocation.

The second-largest macro driver is Long-Term US Treasury Bonds, contributing 13.3% of variance. 7.7% of EDGH.US'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 EDGH.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding EDGH.US 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 3EDGE Dynamic Hard Assets ETF a high-risk investment?

3EDGE Dynamic Hard Assets ETF (EDGH.US) has an annualized volatility of 13.4% and experienced a maximum drawdown of 17.1% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, EDGH.US has generated a Compound Annual Growth Rate (CAGR) of 10.8%. A $10,000 investment would have grown to approximately $27,901. It has had a positive return in 67% of calendar years.

What is EDGH.US's Sharpe ratio?

EDGH.US has a Sharpe ratio of 0.82 and a Sortino ratio of 0.77 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 EDGH.US's dividend yield?

EDGH.US has an average trailing dividend yield of 1.12%. 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 EDGH.US above its 200-day moving average?

EDGH.US is currently above its 200-day moving average by 9.4%. 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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