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AI LONG TERM BUY
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


NVDA 16.67%MSFT 16.67%INOD 16.67%IESC 16.67%TSM 16.67%CLS 16.67%EquityEquity

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 LONG TERM BUY, 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

As of Jun 13, 2026, the AI LONG TERM BUY returned 46.37% Year-To-Date and 54.36% of annualized return in the last 10 years.


Position1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.50%-0.17%8.56%8.85%22.93%19.37%11.84%13.61%
Portfolio
AI LONG TERM BUY
-0.48%5.12%46.37%43.19%109.33%109.36%70.74%54.36%
CLS
Celestica Inc.
1.88%5.52%32.99%28.26%200.71%207.28%116.26%43.71%
IESC
IES Holdings, Inc.
2.53%10.63%92.75%62.95%175.21%139.60%70.53%48.97%
INOD
Innodata Inc.
-4.23%12.17%98.04%92.56%137.86%114.32%69.37%45.64%
MSFT
Microsoft Corporation
0.10%-3.36%-18.85%-17.98%-17.75%6.16%9.56%24.39%
NVDA
NVIDIA Corporation
0.16%-9.03%10.16%17.38%41.70%71.13%63.13%67.95%
TSM
Taiwan Semiconductor Manufacturing Company Limited
0.68%6.28%40.22%45.91%98.93%60.80%31.30%35.80%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Jan 22, 1999, AI LONG TERM BUY's average daily return is +0.17%, while the average monthly return is +3.36%. At this rate, an investment would double in approximately 1.7 years.

Historically, 61% of months were positive and 39% were negative. The best month was May 2006 with a return of +271.9%, while the worst month was Sep 2001 at -25.5%. The longest winning streak lasted 10 consecutive months, and the longest losing streak was 6 months.

On a daily basis, AI LONG TERM BUY closed higher 53% of trading days. The best single day was May 15, 2006 with a return of +343.3%, while the worst single day was Jan 27, 2025 at -17.9%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20260.34%1.00%-5.26%22.05%26.26%-1.07%46.37%
20255.36%-2.65%-16.68%6.48%21.68%20.14%13.51%-7.47%25.45%8.48%-5.74%-4.48%71.21%
202414.40%12.15%6.08%-2.41%32.09%8.18%2.84%1.92%1.94%12.85%31.69%-4.56%187.62%
202323.37%13.74%13.48%-6.94%22.48%10.64%12.17%5.94%-9.74%-3.74%9.84%8.36%146.74%
2022-2.86%-7.31%6.65%-13.52%-1.83%-12.76%12.23%-14.13%-14.25%10.08%10.17%-4.76%-32.13%
20211.74%4.48%1.97%3.71%2.10%6.12%2.75%6.41%-2.97%12.34%-1.10%-0.06%43.48%

Benchmark Metrics

AI LONG TERM BUY has an annualized alpha of 37.57%, beta of 1.24, and R2 of 0.10 versus S&P 500 Index. Calculated based on daily prices since January 22, 1999.

  • This portfolio captured 246.95% of S&P 500 Index gains and 105.94% of its losses - amplifying both gains and losses, but participating more in upside than downside.
  • R2 of 0.10 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
37.57%
Beta
1.24
0.10
Upside Capture
246.95%
Downside Capture
105.94%

Expense Ratio

AI LONG TERM BUY 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

AI LONG TERM BUY ranks 78 for risk / return — better than 78% of Portfolios on our site. You're getting solid returns for the risk taken. A good sign, especially for investors who want growth without excessive volatility.


AI LONG TERM BUY Risk / Return Rank: 7878
Overall Rank
AI LONG TERM BUY Sharpe Ratio Rank: 8686
Sharpe Ratio Rank
AI LONG TERM BUY Sortino Ratio Rank: 7070
Sortino Ratio Rank
AI LONG TERM BUY Omega Ratio Rank: 7272
Omega Ratio Rank
AI LONG TERM BUY Calmar Ratio Rank: 9090
Calmar Ratio Rank
AI LONG TERM BUY Martin Ratio Rank: 7272
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 LONG TERM BUY 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

2.64

1.86

+0.78

Sortino ratioReturn per unit of downside risk

3.05

2.53

+0.52

Omega ratioGain probability vs. loss probability

1.41

1.34

+0.07

Calmar ratioReturn relative to maximum drawdown

5.06

2.53

+2.53

Martin ratioReturn relative to average drawdown

13.95

11.37

+2.58


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
CLS
Celestica Inc.
92
2.782.811.376.9116.83
IESC
IES Holdings, Inc.
93
2.812.931.408.0922.98
INOD
Innodata Inc.
79
1.142.641.312.203.97
MSFT
Microsoft Corporation
17
-0.70-0.840.89-0.53-1.08
NVDA
NVIDIA Corporation
75
1.201.751.212.074.94
TSM
Taiwan Semiconductor Manufacturing Company Limited
93
2.713.301.405.4819.42

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.

The current AI LONG TERM BUY Sharpe ratio is 2.64 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 1.53 to 2.41, this portfolio's current Sharpe ratio is in the top 25%. This signifies superior risk-adjusted performance, meaning the portfolio is delivering strong returns for the level of risk taken compared to most others.

The chart below shows the rolling Sharpe ratio of AI LONG TERM BUY 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 LONG TERM BUY provided a 0.31% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.31%0.29%0.32%0.42%0.61%0.39%0.44%0.82%0.97%0.75%0.91%1.01%
CLS
Celestica 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%
IESC
IES Holdings, 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%
INOD
Innodata 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%
MSFT
Microsoft Corporation
0.91%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
0.14%0.02%0.03%0.03%0.11%0.05%0.12%0.27%0.46%0.29%0.45%1.20%
TSM
Taiwan Semiconductor Manufacturing Company Limited
0.83%1.00%1.18%1.78%2.49%1.57%1.56%3.46%3.64%2.32%2.61%2.54%

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 LONG TERM BUY. 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 LONG TERM BUY was 70.47%, occurring on Oct 9, 2002. Recovery took 905 trading sessions.

The current AI LONG TERM BUY drawdown is 8.85%.


Related event

Drawdown

Fall

Recovery

Underwater

Dot-com crash2000–2002
-70.47%Oct 2002
1y 4mo3y 7mo
4y 11moMay 2001 - May 2006
Financial crisis2007–2009
-61.74%Nov 2008
11mo3y 4mo
4y 3moDec 2007 - Mar 2012
Bear market2022
-44.91%Oct 2022
10mo 23d5mo 21d
1y 4moNov 2021 - Mar 2023
Dot-com crash2000–2002
-38.79%Apr 2000
1mo 1d9mo 10d
10mo 11dMar 2000 - Jan 2001
2025 selloff2025
-36.43%Apr 2025
2mo 11d2mo 3d
4mo 14dJan 2025 - Jun 2025

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 6.00, 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
5Y
10Y
All Time
Diversification Ratio

1.47

1.41

1.44

1.50

1.61

The portfolio has a diversification ratio of 1.61, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

AI LONG TERM BUY correlation to the S&P 500 Index

AI LONG TERM BUY has a 0.72 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

0.72

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

0.72

Correlation (5Y)
Calculated over the trailing 5-year period

0.74

Correlation (10Y)
Calculated over the trailing 10-year period

0.71

Correlation (All Time)
Calculated using the full available price history since Jan 22, 1999

0.66


Benchmark Correlations

Correlation vs. S&P 500 Index. MSFT has the highest benchmark correlation at 0.68, while INOD has the lowest at 0.22.

INOD
0.22
IESC
0.34
CLS
0.52
NVDA
0.56
TSM
0.58
MSFT
0.68

Portfolio Correlations

Correlation vs. AI LONG TERM BUY. NVDA has the highest portfolio correlation at 0.67, while INOD has the lowest at 0.52.

INOD
0.52
IESC
0.54
MSFT
0.56
CLS
0.63
TSM
0.63
NVDA
0.67

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 22, 1999
Diversification Analysis

Find what AI LONG TERM BUY is missing

See which holdings overlap, where AI LONG TERM BUY is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification