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Hierarchical Risk Parity
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


SVARX 30.00%GC=F 11.00%BTC-USD 5.00%UUP 30.00%OEF 15.00%QQQ 9.00%BondBondCommodityCommodityCryptocurrencyCryptocurrencyCurrencyCurrencyEquityEquity

S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Hierarchical Risk Parity, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.


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Returns By Period


Position1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
1.65%1.97%10.35%10.82%26.39%19.66%12.33%13.81%
Portfolio
Hierarchical Risk Parity
0.74%0.14%3.83%4.27%9.73%11.80%
BTC-USD
Bitcoin
0.77%-15.23%-24.33%-23.38%-37.30%35.99%11.54%56.48%
GC=F
Gold Futures
OEF
iShares S&P 100 ETF
2.03%0.66%8.71%9.60%28.24%23.02%15.42%16.78%
QQQ
Invesco QQQ ETF
3.14%4.95%21.26%22.17%41.87%27.20%17.59%22.31%
SVARX
Spectrum Low Volatility Fund
0.17%0.46%1.14%1.70%5.86%6.63%3.10%6.01%
UUP
Invesco DB US Dollar Index Bullish Fund
0.07%0.72%3.48%3.56%6.46%4.54%5.73%3.22%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Jan 31, 2022, Hierarchical Risk Parity's average daily return is +0.02%, while the average monthly return is +0.72%. At this rate, an investment would double in approximately 8.1 years.

Historically, 59% of months were positive and 41% were negative. The best month was Jan 2023 with a return of +4.6%, while the worst month was Mar 2025 at -2.8%. The longest winning streak lasted 6 consecutive months, and the longest losing streak was 5 months.

On a daily basis, Hierarchical Risk Parity closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +2.8%, while the worst single day was Apr 10, 2025 at -1.8%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-0.21%-0.50%-0.96%3.52%2.40%-0.40%3.83%
20251.25%-1.28%-2.80%-0.52%2.86%1.55%1.97%-0.31%1.87%1.85%-0.91%-0.26%5.21%
20241.29%3.68%2.20%-1.30%1.59%1.77%0.07%-0.27%1.30%0.92%4.21%0.53%17.06%
20234.62%-0.24%2.66%0.22%1.41%2.04%0.75%-0.02%-0.16%1.35%3.16%2.84%20.14%
20220.41%0.03%1.91%-2.63%-1.28%-2.40%4.04%-1.65%-1.74%1.51%-0.39%-2.78%-5.08%

Benchmark Metrics

Hierarchical Risk Parity has an annualized alpha of 4.39%, beta of 0.30, and R2 of 0.72 versus S&P 500 Index. Calculated based on daily prices since January 31, 2022.

  • This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (35.09%) than losses (25.44%) - typical of diversified or defensive assets.
  • This portfolio generated an annualized alpha of 4.39% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • Beta of 0.30 indicates this portfolio moves significantly less than S&P 500 Index - a genuinely defensive profile with reduced participation in both market rallies and downturns.

Alpha
4.39%
Beta
0.30
0.72
Upside Capture
35.09%
Downside Capture
25.44%

Expense Ratio

Hierarchical Risk Parity has a high expense ratio of 0.97%, indicating above-average management fees. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


Return for Risk

Risk / Return Rank

Hierarchical Risk Parity ranks 29 for risk / return — below 29% of Portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.


Hierarchical Risk Parity Risk / Return Rank: 2929
Overall Rank
Hierarchical Risk Parity Sharpe Ratio Rank: 3131
Sharpe Ratio Rank
Hierarchical Risk Parity Sortino Ratio Rank: 2929
Sortino Ratio Rank
Hierarchical Risk Parity Omega Ratio Rank: 2929
Omega Ratio Rank
Hierarchical Risk Parity Calmar Ratio Rank: 3232
Calmar Ratio Rank
Hierarchical Risk Parity Martin Ratio Rank: 2525
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics

The table below presents risk-adjusted performance metrics for Hierarchical Risk Parity and compares them with S&P 500 Index.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

1.94

2.14

-0.19

Sortino ratioReturn per unit of downside risk

2.62

2.89

-0.27

Omega ratioGain probability vs. loss probability

1.34

1.39

-0.05

Calmar ratioReturn relative to maximum drawdown

2.67

2.91

-0.24

Martin ratioReturn relative to average drawdown

7.83

13.08

-5.25


How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.

PositionRisk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
BTC-USD
Bitcoin
36
-0.87-1.170.88-0.73-1.26
GC=F
Gold Futures
OEF
iShares S&P 100 ETF
68
2.142.871.392.5710.52
QQQ
Invesco QQQ ETF
79
2.423.121.423.5213.12
SVARX
Spectrum Low Volatility Fund
56
2.092.771.442.225.07
UUP
Invesco DB US Dollar Index Bullish Fund
34
1.081.551.191.784.74

Sharpe Ratio

The Sharpe ratio helps investors understand how much return they're getting for the level of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more reward for each unit of risk. Learn how to interpret the Sharpe ratio.

The current Hierarchical Risk Parity Sharpe ratio is 1.94 as of Jun 13, 2026 (the value is recalculated daily), calculated over the past 12 months.

Compared to the broad market, where average Sharpe ratios range from 1.56 to 2.44, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of Hierarchical Risk Parity compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


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Dividends

Dividend yield

Hierarchical Risk Parity provided a 2.95% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio2.95%2.98%4.35%3.17%0.57%1.95%0.48%2.43%1.44%2.45%3.13%1.31%
BTC-USD
Bitcoin
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
GC=F
Gold Futures
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
OEF
iShares S&P 100 ETF
1.04%0.81%1.03%1.19%1.55%1.06%1.43%1.87%2.09%1.81%2.07%2.11%
QQQ
Invesco QQQ ETF
0.38%0.45%0.56%0.62%0.80%0.43%0.55%0.74%0.91%0.84%1.06%0.99%
SVARX
Spectrum Low Volatility Fund
5.88%5.95%9.35%3.35%0.00%5.85%0.71%4.91%2.41%6.90%9.07%3.02%
UUP
Invesco DB US Dollar Index Bullish Fund
3.31%3.43%4.48%6.44%0.89%0.00%0.00%2.03%1.08%0.10%0.00%0.00%

Drawdowns

Drawdowns Chart

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.


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Worst Drawdowns

The table below displays the maximum drawdowns of the Hierarchical Risk Parity. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the Hierarchical Risk Parity was 8.24%, occurring on Dec 28, 2022. Recovery took 149 trading sessions.

The current Hierarchical Risk Parity drawdown is 1.43%.


Related event

Drawdown

Fall

Recovery

Underwater

Bear market2022
-8.24%Dec 2022
9mo 3d4mo 29d
1y 1moMar 2022 - May 2023
2025 selloff2025
-7.78%Apr 2025
2mo 14d3mo 3d
5mo 17dJan 2025 - Jul 2025
2024 pullback2024
-3.87%Aug 2024
19d1mo 22d
2mo 11dJul 2024 - Sep 2024
2026 pullback2026
-3.64%Mar 2026
5mo19d
5mo 19dOct 2025 - Apr 2026
Bear market2022
-2.54%Feb 2022
13d27d
1mo 10dFeb 2022 - Mar 2022

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 6 assets, with an effective number of assets of 4.44, reflecting the diversification based on asset allocation. Your capital is well-distributed across most of your holdings, with only mild concentration in a few names. True diversification also depends on the correlations between assets — check the diversification ratio below.


Diversification Ratio
1Y
3Y
All Time
Diversification Ratio

1.66

1.64

1.75

The portfolio has a diversification ratio of 1.75, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

Hierarchical Risk Parity correlation to the S&P 500 Index

Hierarchical Risk Parity has a 0.84 correlation to S&P 500 Index over the trailing 12 months. This section compares each holding's correlation to the benchmark and to the portfolio.

Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.84

Correlation (3Y)
Calculated over the trailing 3-year period

0.79

Correlation (All Time)
Calculated using the full available price history since Jan 31, 2022

0.81


Benchmark Correlations

Correlation vs. S&P 500 Index. OEF has the highest benchmark correlation at 0.98, while UUP has the lowest at -0.30.

UUP
-0.30
GC=F
-0.05
SVARX
0.42
QQQ
0.94
OEF
0.98

Portfolio Correlations

Correlation vs. Hierarchical Risk Parity. QQQ has the highest portfolio correlation at 0.77, while GC=F has the lowest at 0.00.

GC=F
0.00
UUP
0.01
SVARX
0.33
OEF
0.75
QQQ
0.77

Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

The correlation results are calculated based on daily price changes starting from Jan 31, 2022
Diversification Analysis

Find what Hierarchical Risk Parity is missing

See which holdings overlap, where Hierarchical Risk Parity is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification