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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

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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The earliest data available for this chart is Jan 22, 1999, corresponding to the inception date of NVDA

Returns By Period

As of Apr 2, 2026, the AI LONG TERM BUY returned -2.63% Year-To-Date and 48.72% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.11%-3.43%-3.84%-1.98%16.08%16.86%10.37%12.29%
Portfolio
AI LONG TERM BUY
-0.00%-1.79%-2.63%-7.52%87.28%95.25%59.04%48.72%
NVDA
NVIDIA Corporation
0.93%-1.47%-4.88%-6.08%60.69%85.17%66.71%70.07%
MSFT
Microsoft Corporation
1.11%-7.54%-22.60%-27.29%-1.52%10.00%9.94%22.58%
INOD
Innodata Inc.
-3.00%-12.01%-24.49%-55.99%1.64%65.67%42.18%32.54%
IESC
IES Holdings, Inc.
-0.28%-1.04%24.03%24.06%168.61%122.40%55.28%42.91%
TSM
Taiwan Semiconductor Manufacturing Company Limited
-0.72%-3.72%11.88%18.31%101.39%56.27%24.16%32.63%
CLS
Celestica Inc.
2.12%14.75%-0.26%17.51%258.03%185.72%102.26%39.05%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Jan 25, 1999, AI LONG TERM BUY's average daily return is +0.16%, while the average monthly return is +3.25%. At this rate, your investment would double in approximately 1.8 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%1.41%-2.63%
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 36.59%, beta of 1.23, and R² of 0.10 versus S&P 500 Index. Calculated based on daily prices since January 25, 1999.

  • This portfolio captured 242.55% of S&P 500 Index gains and 106.06% 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
36.59%
Beta
1.23
0.10
Upside Capture
242.55%
Downside Capture
106.06%

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 88 for risk / return — in the top 88% of portfolios on our site. This means strong returns relative to risk — exactly what professional investors look for. Well-suited for investors who want to maximize return per unit of risk.


AI LONG TERM BUY Risk / Return Rank: 8888
Overall Rank
AI LONG TERM BUY Sharpe Ratio Rank: 9292
Sharpe Ratio Rank
AI LONG TERM BUY Sortino Ratio Rank: 8989
Sortino Ratio Rank
AI LONG TERM BUY Omega Ratio Rank: 8383
Omega Ratio Rank
AI LONG TERM BUY Calmar Ratio Rank: 9393
Calmar Ratio Rank
AI LONG TERM BUY Martin Ratio Rank: 8181
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

2.09

0.88

+1.21

Sortino ratio

Return per unit of downside risk

2.61

1.37

+1.24

Omega ratio

Gain probability vs. loss probability

1.35

1.21

+0.14

Calmar ratio

Return relative to maximum drawdown

4.24

1.39

+2.85

Martin ratio

Return relative to average drawdown

11.97

6.43

+5.53


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
NVDA
NVIDIA Corporation
811.472.171.273.027.54
MSFT
Microsoft Corporation
35-0.060.111.01-0.05-0.12
INOD
Innodata Inc.
420.020.671.080.080.17
IESC
IES Holdings, Inc.
932.652.851.398.5223.68
TSM
Taiwan Semiconductor Manufacturing Company Limited
932.643.231.415.7018.99
CLS
Celestica Inc.
953.623.291.449.3424.62

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.

AI LONG TERM BUY Sharpe ratios as of Apr 2, 2026 (values are recalculated daily):

  • 1-Year: 2.09
  • 5-Year: 1.53
  • 10-Year: 1.47
  • All Time: 0.44

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 1.68, 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 0.32% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio0.32%0.29%0.32%0.42%0.61%0.39%0.44%0.82%0.97%0.75%0.91%1.01%
NVDA
NVIDIA Corporation
0.02%0.02%0.03%0.03%0.11%0.05%0.12%0.27%0.46%0.29%0.45%1.20%
MSFT
Microsoft Corporation
0.93%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
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%
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%
TSM
Taiwan Semiconductor Manufacturing Company Limited
0.98%1.00%1.18%1.78%2.49%1.57%1.56%3.46%3.64%2.32%2.61%2.54%
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%

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 14.67%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-70.47%May 25, 2001343Oct 9, 2002905May 15, 20061248
-61.74%Dec 26, 2007230Nov 20, 2008841Mar 26, 20121071
-44.91%Nov 22, 2021223Oct 11, 2022118Mar 31, 2023341
-38.79%Mar 14, 200024Apr 14, 2000192Jan 19, 2001216
-36.43%Jan 23, 202551Apr 4, 202543Jun 6, 202594

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. This number of effective assets indicates a moderate level of diversification, where some assets may have a more significant influence on overall performance.

Asset Correlations Table

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

BenchmarkINODIESCCLSMSFTTSMNVDAPortfolio
Benchmark1.000.220.330.520.680.580.560.66
INOD0.221.000.120.170.150.150.150.52
IESC0.330.121.000.260.220.240.220.54
CLS0.520.170.261.000.360.440.410.63
MSFT0.680.150.220.361.000.440.480.57
TSM0.580.150.240.440.441.000.520.63
NVDA0.560.150.220.410.480.521.000.67
Portfolio0.660.520.540.630.570.630.671.00
The correlation results are calculated based on daily price changes starting from Jan 25, 1999