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ai_10
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


GLD 14.29%BITO 14.29%MSFT 14.29%NVDA 14.29%PLTR 14.29%SMCI 14.29%AVGO 14.29%CommodityCommodityCryptocurrencyCryptocurrencyEquityEquity

S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in ai_10, 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 month.


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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
ai_10
3.28%-4.32%-2.06%-1.86%8.87%52.92%
AVGO
Broadcom Inc.
3.11%-7.35%14.06%16.39%59.68%67.77%56.37%41.61%
BITO
ProShares Bitcoin Strategy ETF
4.62%-16.16%-25.13%-23.76%-39.30%27.40%
GLD
SPDR Gold Shares
2.59%-4.97%0.06%0.19%25.38%29.73%18.31%12.33%
MSFT
Microsoft Corporation
2.31%-5.05%-16.97%-15.43%-15.16%6.13%10.11%24.60%
NVDA
NVIDIA Corporation
3.54%-5.60%14.05%20.66%49.84%70.84%64.29%68.59%
PLTR
Palantir Technologies Inc.
5.25%0.54%-24.21%-26.49%-1.96%102.18%40.28%
SMCI
Super Micro Computer, Inc.
1.28%-0.61%5.40%-1.66%-25.77%10.16%53.88%28.01%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Oct 19, 2021, ai_10's average daily return is +0.17%, while the average monthly return is +3.57%. At this rate, an investment would double in approximately 1.6 years.

Historically, 58% of months were positive and 42% were negative. The best month was May 2023 with a return of +38.9%, while the worst month was Jun 2022 at -14.5%. The longest winning streak lasted 6 consecutive months, and the longest losing streak was 5 months.

On a daily basis, ai_10 closed higher 53% of trading days. The best single day was Apr 9, 2025 with a return of +13.2%, while the worst single day was Jan 27, 2025 at -8.3%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-2.99%-4.23%-5.87%12.31%13.75%-12.34%-2.06%
20250.14%3.61%-6.54%10.23%16.29%9.54%10.22%-5.65%9.90%5.51%-10.39%-2.92%42.81%
202415.74%29.48%6.94%-6.95%5.89%7.23%-0.42%-3.90%5.39%-0.59%16.07%5.91%108.70%
202313.78%7.54%12.98%-0.30%38.85%6.99%10.37%-7.05%-3.10%2.39%13.94%3.79%146.45%
2022-12.11%-0.83%6.56%-12.55%-1.82%-14.50%15.91%-7.88%-8.10%7.76%9.01%-5.82%-25.98%
20215.17%2.63%-1.59%6.23%

Benchmark Metrics

ai_10 has an annualized alpha of 26.96%, beta of 1.53, and R2 of 0.59 versus S&P 500 Index. Calculated based on daily prices since October 19, 2021.

  • This portfolio captured 245.81% of S&P 500 Index gains and 103.91% of its losses - amplifying both gains and losses, but participating more in upside than downside.
  • This portfolio generated an annualized alpha of 26.96% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • Beta of 1.53 means this portfolio moves significantly more than S&P 500 Index - expect amplified gains in rallies and amplified losses in downturns.

Alpha
26.96%
Beta
1.53
0.59
Upside Capture
245.81%
Downside Capture
103.91%

Expense Ratio

ai_10 has an expense ratio of 0.19%, which is considered low. 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

ai_10 ranks 6 for risk / return — in the bottom 6% 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.


ai_10 Risk / Return Rank: 66
Overall Rank
ai_10 Sharpe Ratio Rank: 55
Sharpe Ratio Rank
ai_10 Sortino Ratio Rank: 66
Sortino Ratio Rank
ai_10 Omega Ratio Rank: 66
Omega Ratio Rank
ai_10 Calmar Ratio Rank: 55
Calmar Ratio Rank
ai_10 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

The table below presents risk-adjusted performance metrics for ai_10 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

0.30

2.14

-1.84

Sortino ratioReturn per unit of downside risk

0.60

2.89

-2.28

Omega ratioGain probability vs. loss probability

1.08

1.39

-0.31

Calmar ratioReturn relative to maximum drawdown

0.31

2.91

-2.60

Martin ratioReturn relative to average drawdown

0.71

13.08

-12.37


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
AVGO
Broadcom Inc.
76
1.321.891.252.094.85
BITO
ProShares Bitcoin Strategy ETF
3
-0.89-1.240.86-0.74-1.29
GLD
SPDR Gold Shares
27
0.931.301.191.042.97
MSFT
Microsoft Corporation
20
-0.60-0.680.91-0.45-0.92
NVDA
NVIDIA Corporation
78
1.432.001.242.485.89
PLTR
Palantir Technologies Inc.
39
-0.040.301.04-0.05-0.09
SMCI
Super Micro Computer, Inc.
32
-0.300.131.02-0.39-0.65

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 ai_10 Sharpe ratio is 0.30 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 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 ai_10 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

ai_10 provided a 9.74% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio9.74%11.39%9.04%2.52%0.60%0.43%0.59%0.72%0.75%0.58%0.61%0.66%
AVGO
Broadcom Inc.
0.63%0.70%0.94%1.71%3.02%2.24%3.05%3.54%3.11%1.87%1.43%1.13%
BITO
ProShares Bitcoin Strategy ETF
66.51%78.29%61.59%15.14%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
GLD
SPDR Gold Shares
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
MSFT
Microsoft Corporation
0.89%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
NVDA
NVIDIA Corporation
0.13%0.02%0.03%0.03%0.11%0.05%0.12%0.27%0.46%0.29%0.45%1.20%
PLTR
Palantir Technologies Inc.
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SMCI
Super Micro Computer, Inc.
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 ai_10. 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 ai_10 was 40.43%, occurring on Oct 14, 2022. Recovery took 141 trading sessions.

The current ai_10 drawdown is 18.76%.


Related event

Drawdown

Fall

Recovery

Underwater

Bear market2022
-40.43%Oct 2022
11mo 9d6mo 27d
1y 6moNov 2021 - May 2023
2026 bear market2026
-28.56%Mar 2026
5mo 1d
7mo 19dOct 2025 - now
2025 selloff2025
-27.98%Apr 2025
1mo 13d1mo 10d
2mo 23dFeb 2025 - May 2025
2024 correction2024
-18.10%Aug 2024
22d2mo 3d
2mo 25dJul 2024 - Oct 2024
2023 correction2023
-14.74%Sep 2023
1mo 20d1mo 18d
3mo 8dAug 2023 - Nov 2023

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 7 assets, with an effective number of assets of 7.00, reflecting the diversification based on asset allocation. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.


Diversification Ratio
1Y
3Y
All Time
Diversification Ratio

1.50

1.50

1.48

The portfolio has a diversification ratio of 1.48, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

ai_10 correlation to the S&P 500 Index

ai_10 has a 0.68 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

0.68

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

0.72

Correlation (All Time)
Calculated using the full available price history since Oct 19, 2021

0.76


Benchmark Correlations

Correlation vs. S&P 500 Index. MSFT has the highest benchmark correlation at 0.73, while GLD has the lowest at 0.13.

GLD
0.13
BITO
0.42
SMCI
0.48
PLTR
0.61
AVGO
0.69
NVDA
0.70
MSFT
0.73

Portfolio Correlations

Correlation vs. ai_10. NVDA has the highest portfolio correlation at 0.80, while GLD has the lowest at 0.16.

GLD
0.16
BITO
0.58
MSFT
0.66
PLTR
0.73
SMCI
0.74
AVGO
0.74
NVDA
0.80

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 Oct 19, 2021
Diversification Analysis

Find what ai_10 is missing

See which holdings overlap, where ai_10 is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification