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Ai GPT
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


NVDA 30.00%AMD 26.00%SMCI 21.00%GOOG 14.00%MSFT 9.00%EquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of CA$10,000 in Ai GPT, 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 Apr 3, 2014, corresponding to the inception date of GOOG

Returns By Period

As of Apr 2, 2026, the Ai GPT returned -8.88% Year-To-Date and 54.14% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.58%-2.01%-2.73%-2.59%13.21%18.05%12.62%12.98%
Portfolio
Ai GPT
1.07%-4.01%-8.88%-10.91%40.39%59.09%50.80%54.14%
NVDA
NVIDIA Corporation
0.63%-2.12%-4.56%-6.39%55.06%86.73%69.84%70.87%
MSFT
Microsoft Corporation
-0.35%-5.81%-22.48%-28.83%-5.38%10.48%11.96%23.22%
AMD
Advanced Micro Devices, Inc.
3.19%7.56%-0.60%27.81%98.71%30.16%23.49%54.86%
SMCI
Super Micro Computer, Inc.
-1.28%-28.13%-22.12%-57.15%-37.60%29.51%44.49%21.43%
GOOG
Alphabet Inc
0.00%-4.70%-7.28%16.76%76.17%41.97%24.57%23.49%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Apr 4, 2014, Ai GPT's average daily return is +0.19%, while the average monthly return is +3.92%. At this rate, your investment would double in approximately 1.5 years.

Historically, 65% of months were positive and 35% were negative. The best month was May 2023 with a return of +45.8%, while the worst month was Oct 2018 at -26.2%. The longest winning streak lasted 8 consecutive months, and the longest losing streak was 3 months.

On a daily basis, Ai GPT closed higher 54% of trading days. The best single day was Feb 22, 2024 with a return of +18.6%, while the worst single day was Mar 16, 2020 at -15.4%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20262.69%-5.88%-6.72%1.07%-8.88%
2025-3.64%3.48%-10.24%-5.81%18.08%16.90%18.36%-9.09%8.65%22.21%-13.86%-3.28%38.52%
202431.19%32.14%9.84%-5.52%8.34%6.31%-7.85%-8.45%3.76%-3.86%2.87%-0.39%78.67%
202311.83%15.27%16.95%-1.15%45.77%3.14%11.07%-1.79%-4.99%-3.65%12.85%6.62%169.18%
2022-13.14%0.39%-0.83%-14.10%7.78%-16.04%20.22%-1.78%-13.96%5.83%21.96%-11.69%-22.16%
2021-1.10%3.86%0.87%4.18%-0.80%16.90%6.64%7.28%-5.54%11.28%24.00%-5.86%75.76%

Benchmark Metrics

Ai GPT has an annualized alpha of 30.13%, beta of 1.58, and R² of 0.46 versus S&P 500 Index. Calculated based on daily prices since April 04, 2014.

  • This portfolio captured 320.78% of S&P 500 Index gains and 137.76% of its losses — amplifying both gains and losses, but participating more in upside than downside.
  • R² of 0.46 means the benchmark explains less than half of this portfolio's behavior — treat beta with caution or consider switching to a more representative benchmark.

Alpha
30.13%
Beta
1.58
0.46
Upside Capture
320.78%
Downside Capture
137.76%

Expense Ratio

Ai GPT 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 GPT ranks 25 for risk / return — below 25% of portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.


Ai GPT Risk / Return Rank: 2525
Overall Rank
Ai GPT Sharpe Ratio Rank: 2626
Sharpe Ratio Rank
Ai GPT Sortino Ratio Rank: 3232
Sortino Ratio Rank
Ai GPT Omega Ratio Rank: 2323
Omega Ratio Rank
Ai GPT Calmar Ratio Rank: 2828
Calmar Ratio Rank
Ai GPT Martin Ratio Rank: 1616
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

0.96

0.74

+0.21

Sortino ratio

Return per unit of downside risk

1.55

1.13

+0.42

Omega ratio

Gain probability vs. loss probability

1.20

1.18

+0.02

Calmar ratio

Return relative to maximum drawdown

1.38

1.10

+0.28

Martin ratio

Return relative to average drawdown

3.38

4.05

-0.67


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
791.341.981.252.716.26
MSFT
Microsoft Corporation
30-0.21-0.110.98-0.12-0.32
AMD
Advanced Micro Devices, Inc.
831.542.321.303.346.85
SMCI
Super Micro Computer, Inc.
21-0.47-0.240.97-0.55-1.09
GOOG
Alphabet Inc
932.563.481.434.0414.07

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 GPT Sharpe ratios as of Apr 2, 2026 (values are recalculated daily):

  • 1-Year: 0.96
  • 5-Year: 1.21
  • 10-Year: 1.40
  • All Time: 1.37

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 1.00 to 1.70, 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 GPT 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 GPT provided a 0.13% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio0.13%0.11%0.12%0.08%0.13%0.08%0.12%0.19%0.29%0.26%0.35%0.57%
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
0.94%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
AMD
Advanced Micro Devices, 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%
GOOG
Alphabet Inc
0.28%0.26%0.32%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 GPT. 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 GPT was 39.86%, occurring on Oct 14, 2022. Recovery took 104 trading sessions.

The current Ai GPT drawdown is 25.23%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-39.86%Nov 30, 2021221Oct 14, 2022104Mar 16, 2023325
-39.63%Jul 11, 2024195Apr 21, 202559Jul 16, 2025254
-37.03%Oct 2, 201858Dec 24, 2018212Oct 28, 2019270
-30.67%Feb 20, 202018Mar 16, 202039May 11, 202057
-29.74%Oct 30, 2025103Mar 30, 2026

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 5 assets, with an effective number of assets of 4.36, 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.

BenchmarkSMCIGOOGAMDMSFTNVDAPortfolio
Benchmark1.000.420.680.490.740.620.67
SMCI0.421.000.270.360.300.390.64
GOOG0.680.271.000.400.640.490.56
AMD0.490.360.401.000.430.620.82
MSFT0.740.300.640.431.000.560.60
NVDA0.620.390.490.620.561.000.84
Portfolio0.670.640.560.820.600.841.00
The correlation results are calculated based on daily price changes starting from Apr 4, 2014