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lung
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


ETH-USD 15.00%USD=X 35.00%TQQQ 30.00%SPY 20.00%CryptocurrencyCryptocurrencyCurrencyCurrencyEquityEquity
PositionCategory/SectorTarget Weight
ETH-USD
Ethereum
15%
SPY
State Street SPDR S&P 500 ETF
S&P 500
20%
TQQQ
ProShares UltraPro QQQ
Leveraged Equities, Leveraged
30%
USD=X
USD Cash
35%

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in lung, 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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The earliest data available for this chart is Aug 7, 2015, corresponding to the inception date of ETH-USD

Returns By Period

As of Apr 11, 2026, the lung returned -4.20% Year-To-Date and 39.48% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
-0.11%0.61%-0.42%4.03%29.40%18.38%10.55%12.70%
Portfolio
lung
0.00%2.69%-4.20%-3.81%48.33%25.06%12.97%39.48%
TQQQ
ProShares UltraPro QQQ
0.43%-0.20%-6.58%1.63%114.62%55.97%13.93%37.44%
USD=X
USD Cash
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SPY
State Street SPDR S&P 500 ETF
-0.07%0.74%-0.09%4.64%31.01%19.89%12.07%14.53%
ETH-USD
Ethereum
2.25%9.12%-24.52%-41.62%47.18%5.78%0.81%76.86%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Aug 8, 2015, lung's average daily return is +0.13%, while the average monthly return is +4.00%. At this rate, an investment would double in approximately 1.5 years.

Historically, 62% of months were positive and 38% were negative. The best month was Feb 2016 with a return of +60.1%, while the worst month was Mar 2020 at -21.3%. The longest winning streak lasted 9 consecutive months, and the longest losing streak was 5 months.

On a daily basis, lung closed higher 54% of trading days. The best single day was Feb 11, 2016 with a return of +19.0%, while the worst single day was Mar 12, 2020 at -17.9%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-1.63%-5.24%-4.44%7.54%-4.20%
20251.74%-7.83%-10.13%-1.67%15.49%6.64%9.60%4.54%3.99%3.30%-5.06%-1.05%18.01%
20241.47%12.40%2.91%-7.77%9.64%4.90%-2.89%-2.66%2.57%-1.93%12.51%-2.52%29.80%
202315.87%-1.41%12.21%0.71%7.17%7.85%3.26%-4.01%-5.81%-1.53%13.47%8.03%68.12%
2022-12.69%-3.38%4.75%-15.20%-6.21%-13.13%21.78%-7.75%-13.98%6.87%1.82%-10.77%-42.72%
202111.13%2.06%9.78%13.40%-1.87%3.38%4.73%10.34%-8.82%15.43%3.14%-2.76%74.71%

Benchmark Metrics

lung has an annualized alpha of 23.47%, beta of 1.31, and R² of 0.52 versus S&P 500 Index. Calculated based on daily prices since August 08, 2015.

  • This portfolio captured 198.73% of S&P 500 Index gains but only 87.47% of its losses — a favorable profile for investors.
  • This portfolio generated an annualized alpha of 23.47% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
23.47%
Beta
1.31
0.52
Upside Capture
198.73%
Downside Capture
87.47%

Expense Ratio

lung has an expense ratio of 0.30%, placing it in the medium range. 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

lung ranks 13 for risk / return — in the bottom 13% 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.


lung Risk / Return Rank: 1313
Overall Rank
lung Sharpe Ratio Rank: 2121
Sharpe Ratio Rank
lung Sortino Ratio Rank: 1919
Sortino Ratio Rank
lung Omega Ratio Rank: 1515
Omega Ratio Rank
lung Calmar Ratio Rank: 55
Calmar Ratio Rank
lung Martin Ratio Rank: 55
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

1.83

2.23

-0.41

Sortino ratio

Return per unit of downside risk

2.44

3.12

-0.67

Omega ratio

Gain probability vs. loss probability

1.28

1.42

-0.14

Calmar ratio

Return relative to maximum drawdown

0.35

4.05

-3.69

Martin ratio

Return relative to average drawdown

0.82

17.91

-17.09


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
TQQQ
ProShares UltraPro QQQ
572.282.651.354.1813.52
USD=X
USD Cash
SPY
State Street SPDR S&P 500 ETF
702.353.261.444.3218.78
ETH-USD
Ethereum
830.651.411.15-0.76-1.25

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.

lung Sharpe ratios as of Apr 11, 2026 (values are recalculated daily):

  • 1-Year: 1.83
  • 5-Year: 0.45
  • 10-Year: 1.24
  • All Time: 1.39

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 2.14 to 3.05, 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 lung 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

lung provided a 0.41% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio0.41%0.41%0.62%0.66%0.50%0.24%0.30%0.37%0.44%0.36%0.41%0.42%
TQQQ
ProShares UltraPro QQQ
0.64%0.65%1.27%1.26%0.57%0.00%0.00%0.06%0.11%0.00%0.00%0.01%
USD=X
USD Cash
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SPY
State Street SPDR S&P 500 ETF
1.09%1.07%1.21%1.40%1.65%1.20%1.52%1.75%2.04%1.80%2.03%2.06%
ETH-USD
Ethereum
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%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 lung. 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 lung was 46.87%, occurring on Dec 28, 2022. Recovery took 414 trading sessions.

The current lung drawdown is 11.30%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-46.87%Nov 9, 2021415Dec 28, 2022414Feb 15, 2024829
-41.21%Feb 15, 202031Mar 16, 2020116Jul 10, 2020147
-38.23%Jan 29, 2018331Dec 25, 2018377Jan 6, 2020708
-34.34%Dec 17, 2024113Apr 8, 2025100Jul 17, 2025213
-22.21%Aug 8, 201552Sep 28, 2015117Jan 23, 2016169

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 4 assets, with an effective number of assets of 3.64, 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.

BenchmarkUSD=XETH-USDTQQQSPYPortfolio
Benchmark1.000.000.220.911.000.77
USD=X0.000.000.000.000.000.00
ETH-USD0.220.001.000.180.180.71
TQQQ0.910.000.181.000.860.72
SPY1.000.000.180.861.000.68
Portfolio0.770.000.710.720.681.00
The correlation results are calculated based on daily price changes starting from Aug 8, 2015