PortfoliosLab logoPortfoliosLab logo
Experimental
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


BTC-USD 25.00%ETH-USD 25.00%SOL-USD 25.00%LINK-USD 25.00%CryptocurrencyCryptocurrency
PositionCategory/SectorTarget Weight
BTC-USD
Bitcoin
25%
ETH-USD
Ethereum
25%
LINK-USD
ChainLink
25%
SOL-USD
Solana
25%

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Experimental, 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.


Loading graphics...

The earliest data available for this chart is Apr 10, 2020, corresponding to the inception date of SOL-USD

Returns By Period


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.11%-4.18%-3.84%-1.98%21.98%16.86%10.37%12.29%
Portfolio
Experimental
0.35%-7.76%-29.78%-57.04%-17.12%33.58%13.90%
BTC-USD
Bitcoin
0.01%-7.96%-23.54%-45.31%-19.57%33.40%2.82%65.95%
ETH-USD
Ethereum
-0.23%-3.55%-30.83%-54.56%12.98%3.12%-0.23%69.54%
SOL-USD
Solana
1.62%-11.72%-35.53%-65.56%-31.50%56.53%27.23%
LINK-USD
ChainLink
0.07%-7.61%-29.08%-61.63%-33.00%5.43%-22.42%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Apr 11, 2020, Experimental's average daily return is +0.26%, while the average monthly return is +8.68%. At this rate, your investment would double in approximately 0.7 years.

Historically, 58% of months were positive and 42% were negative. The best month was Aug 2020 with a return of +94.4%, while the worst month was Jun 2022 at -33.1%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 6 months.

On a daily basis, Experimental closed higher 53% of trading days. The best single day was May 24, 2021 with a return of +25.4%, while the worst single day was May 19, 2021 at -32.5%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-15.23%-16.51%1.59%-2.34%-29.78%
202514.28%-32.12%-10.68%9.20%13.27%-1.09%23.58%17.35%-2.15%-10.14%-23.12%-4.03%-20.26%
2024-0.22%36.31%20.46%-25.34%25.69%-12.24%1.13%-16.67%8.15%3.55%47.48%-7.06%74.53%
202359.35%-2.24%8.08%1.29%-5.73%0.99%9.56%-15.96%13.59%39.42%29.30%33.34%308.18%
2022-24.28%2.10%12.45%-25.25%-29.74%-33.09%30.13%-14.76%-0.62%6.38%-22.57%-15.27%-76.49%
202193.46%84.73%41.22%48.26%-18.55%-12.73%12.24%62.99%7.53%37.86%-2.49%-20.19%1,022.53%

Benchmark Metrics

Experimental has an annualized alpha of 25.87%, beta of 1.63, and R² of 0.16 versus S&P 500 Index. Calculated based on daily prices since April 11, 2020.

  • This portfolio captured 221.69% of S&P 500 Index gains and 163.38% of its losses — amplifying both gains and losses, but participating more in upside than downside.
  • R² of 0.16 means this portfolio moves largely independently of S&P 500 Index — capture ratios reflect limited market correlation rather than active downside protection. Consider using a more representative benchmark.

Alpha
25.87%
Beta
1.63
0.16
Upside Capture
221.69%
Downside Capture
163.38%

Expense Ratio

Experimental has an expense ratio of 0.00%, meaning no management fees are charged. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


The portfolio doesn't include any funds that charge management fees.

Return for Risk

Risk / Return Rank

Experimental ranks 2 for risk / return — in the bottom 2% of portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.


Experimental Risk / Return Rank: 22
Overall Rank
Experimental Sharpe Ratio Rank: 22
Sharpe Ratio Rank
Experimental Sortino Ratio Rank: 33
Sortino Ratio Rank
Experimental Omega Ratio Rank: 33
Omega Ratio Rank
Experimental Calmar Ratio Rank: 11
Calmar Ratio Rank
Experimental Martin Ratio Rank: 22
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


PortfolioBenchmarkDifference

Sharpe ratio

Return per unit of total volatility

-0.26

0.88

-1.14

Sortino ratio

Return per unit of downside risk

0.06

1.37

-1.30

Omega ratio

Gain probability vs. loss probability

1.01

1.21

-0.20

Calmar ratio

Return relative to maximum drawdown

-1.01

1.39

-2.40

Martin ratio

Return relative to average drawdown

-1.67

6.43

-8.11


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

Risk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
BTC-USD
Bitcoin
36-0.44-0.380.96-1.12-2.00
ETH-USD
Ethereum
740.170.821.09-0.93-1.58
SOL-USD
Solana
56-0.41-0.170.98-1.03-1.64
LINK-USD
ChainLink
67-0.40-0.090.99-0.94-1.42

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.

Experimental Sharpe ratios as of Apr 4, 2026 (values are recalculated daily):

  • 1-Year: -0.26
  • 5-Year: 0.18
  • All Time: 1.11

These values reflect how efficiently the investment has delivered returns relative to its volatility over different time periods. All figures are annualized and based on daily total returns (including price changes and dividends).

Compared to the broad market, where average Sharpe ratios range from 0.99 to 1.69, this portfolio's current Sharpe ratio places it in the bottom 25%. This suggests weaker risk-adjusted returns than most portfolios, possibly due to lower returns, higher volatility, or both. It may be worth reviewing the allocation. You can use the Portfolio Optimization tool to explore options for improving the Sharpe ratio.

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


Loading graphics...

Dividends

Dividend yield


Experimental doesn't pay dividends

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.


Loading graphics...

Worst Drawdowns

The table below displays the maximum drawdowns of the Experimental. 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 Experimental was 84.18%, occurring on Nov 21, 2022. Recovery took 475 trading sessions.

The current Experimental drawdown is 58.85%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-84.18%Nov 9, 2021378Nov 21, 2022475Mar 10, 2024853
-61.78%Sep 13, 2025146Feb 5, 2026
-55.63%May 10, 202172Jul 20, 202139Aug 28, 2021111
-53.09%Dec 16, 2024114Apr 8, 2025126Aug 12, 2025240
-38.97%Sep 1, 202036Oct 6, 202072Dec 17, 2020108

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


Loading graphics...

Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 4 assets, with an effective number of assets of 4.00, reflecting the diversification based on asset allocation. This number of effective assets suggests a highly concentrated portfolio, where a few assets dominate the allocation, potentially increasing the portfolio's risk due to lack of diversification.

Asset Correlations Table

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

BenchmarkSOL-USDLINK-USDBTC-USDETH-USDPortfolio
Benchmark1.000.300.330.350.360.36
SOL-USD0.301.000.620.610.650.86
LINK-USD0.330.621.000.690.770.86
BTC-USD0.350.610.691.000.810.80
ETH-USD0.360.650.770.811.000.87
Portfolio0.360.860.860.800.871.00
The correlation results are calculated based on daily price changes starting from Apr 11, 2020