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ChatGPT-1
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of CA$10,000 in ChatGPT-1, 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 Feb 20, 2015, corresponding to the inception date of XUU.TO

Returns By Period

As of Apr 3, 2026, the ChatGPT-1 returned 1.74% Year-To-Date and 13.20% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.48%-1.70%-2.42%-2.28%13.57%18.26%12.69%12.98%
Portfolio
ChatGPT-1
0.11%-2.05%1.74%4.79%25.02%20.17%12.96%13.20%
XIC.TO
iShares Core S&P/TSX Capped Composite Index ETF
0.44%-1.80%5.02%11.00%33.99%21.12%14.69%12.66%
XUU.TO
iShares Core S&P U.S. Total Market Index ETF
0.33%-1.50%-2.03%-1.93%13.64%19.08%12.92%14.05%
QQC-F.TO
Invesco NASDAQ 100 Index ETF CAD Hedged
0.04%-3.09%-5.44%-4.41%20.39%21.04%11.68%17.52%
XEC.TO
iShares Core MSCI Emerging Markets IMI Index ETF
-0.81%-0.92%5.23%6.04%28.57%17.06%6.14%8.53%
ZAG.TO
BMO Aggregate Bond Index ETF
0.22%-1.38%0.11%-0.25%0.56%3.21%0.59%1.66%
CGL-C.TO
iShares Gold Bullion ETF
-1.70%-6.71%9.88%20.34%44.29%33.89%23.86%14.43%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Feb 23, 2015, ChatGPT-1's average daily return is +0.05%, while the average monthly return is +0.95%. At this rate, your investment would double in approximately 6.1 years.

Historically, 70% of months were positive and 30% were negative. The best month was Apr 2020 with a return of +10.8%, while the worst month was Mar 2020 at -11.7%. The longest winning streak lasted 10 consecutive months, and the longest losing streak was 3 months.

On a daily basis, ChatGPT-1 closed higher 56% of trading days. The best single day was Mar 24, 2020 with a return of +8.5%, while the worst single day was Mar 12, 2020 at -9.7%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20261.99%3.69%-4.61%0.85%1.74%
20253.44%-1.07%-2.81%-1.42%5.39%3.78%2.28%2.82%5.57%2.57%1.30%-0.17%23.50%
20240.81%3.73%3.24%-1.73%3.03%1.65%3.28%0.43%3.16%1.03%5.00%-1.31%24.47%
20236.62%-1.56%2.44%1.65%-1.03%3.34%2.90%-0.84%-3.82%-1.44%7.02%3.32%19.55%
2022-3.01%-1.38%2.26%-6.19%-0.96%-6.90%5.79%-2.02%-5.02%3.99%5.72%-4.68%-12.72%
20210.28%1.83%2.18%2.53%1.27%3.32%1.08%2.58%-3.32%3.95%0.37%1.74%19.10%

Benchmark Metrics

ChatGPT-1 has an annualized alpha of 3.17%, beta of 0.74, and R² of 0.77 versus S&P 500 Index. Calculated based on daily prices since February 23, 2015.

  • This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (78.87%) than losses (68.75%) — typical of diversified or defensive assets.
  • This portfolio generated an annualized alpha of 3.17% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
3.17%
Beta
0.74
0.77
Upside Capture
78.87%
Downside Capture
68.75%

Expense Ratio

ChatGPT-1 has an expense ratio of 0.13%, 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

ChatGPT-1 ranks 75 for risk / return — better than 75% 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.


ChatGPT-1 Risk / Return Rank: 7575
Overall Rank
ChatGPT-1 Sharpe Ratio Rank: 7777
Sharpe Ratio Rank
ChatGPT-1 Sortino Ratio Rank: 7575
Sortino Ratio Rank
ChatGPT-1 Omega Ratio Rank: 8282
Omega Ratio Rank
ChatGPT-1 Calmar Ratio Rank: 6868
Calmar Ratio Rank
ChatGPT-1 Martin Ratio Rank: 7575
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

1.67

0.75

+0.91

Sortino ratio

Return per unit of downside risk

2.27

1.14

+1.13

Omega ratio

Gain probability vs. loss probability

1.36

1.18

+0.18

Calmar ratio

Return relative to maximum drawdown

2.37

1.15

+1.21

Martin ratio

Return relative to average drawdown

10.92

4.21

+6.72


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
XIC.TO
iShares Core S&P/TSX Capped Composite Index ETF
922.242.831.453.2314.37
XUU.TO
iShares Core S&P U.S. Total Market Index ETF
370.731.101.171.164.32
QQC-F.TO
Invesco NASDAQ 100 Index ETF CAD Hedged
500.921.471.211.625.60
XEC.TO
iShares Core MSCI Emerging Markets IMI Index ETF
741.522.061.302.297.92
ZAG.TO
BMO Aggregate Bond Index ETF
130.120.191.020.100.20
CGL-C.TO
iShares Gold Bullion ETF
791.702.161.322.588.77

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.

ChatGPT-1 Sharpe ratios as of Apr 3, 2026 (values are recalculated daily):

  • 1-Year: 1.67
  • 5-Year: 1.04
  • 10-Year: 0.97
  • All Time: 0.86

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 1.67, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of ChatGPT-1 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

ChatGPT-1 provided a 1.50% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio1.50%1.56%1.76%1.96%2.13%1.76%1.92%2.16%2.24%1.83%1.96%2.16%
XIC.TO
iShares Core S&P/TSX Capped Composite Index ETF
2.13%2.23%2.64%2.95%3.10%2.44%3.03%3.01%3.19%2.49%2.72%3.21%
XUU.TO
iShares Core S&P U.S. Total Market Index ETF
1.17%1.16%1.02%1.22%1.38%1.01%1.33%1.68%1.73%1.49%1.65%1.52%
QQC-F.TO
Invesco NASDAQ 100 Index ETF CAD Hedged
0.00%0.09%0.50%0.57%0.89%0.66%0.49%0.64%0.77%0.66%0.81%0.76%
XEC.TO
iShares Core MSCI Emerging Markets IMI Index ETF
1.83%1.92%2.03%2.16%2.28%2.78%1.64%2.87%2.66%2.13%1.80%2.19%
ZAG.TO
BMO Aggregate Bond Index ETF
3.48%3.48%3.44%3.47%3.56%3.04%2.88%3.03%2.92%2.95%3.07%3.13%
CGL-C.TO
iShares Gold Bullion ETF
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 ChatGPT-1. 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 ChatGPT-1 was 28.71%, occurring on Mar 23, 2020. Recovery took 92 trading sessions.

The current ChatGPT-1 drawdown is 4.20%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-28.71%Feb 20, 202023Mar 23, 202092Aug 4, 2020115
-18.54%Dec 30, 2021196Oct 11, 2022288Dec 1, 2023484
-14.14%Feb 20, 202534Apr 8, 202538Jun 3, 202572
-13.38%Aug 30, 201881Dec 24, 201852Mar 12, 2019133
-12.05%Apr 16, 2015208Feb 11, 2016103Jul 11, 2016311

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 3.85, 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.

BenchmarkZAG.TOCGL-C.TOXEC.TOXIC.TOQQC-F.TOXUU.TOPortfolio
Benchmark1.000.01-0.100.520.590.770.890.82
ZAG.TO0.011.000.310.010.020.000.020.06
CGL-C.TO-0.100.311.000.020.01-0.12-0.090.02
XEC.TO0.520.010.021.000.530.570.560.71
XIC.TO0.590.020.010.531.000.600.580.86
QQC-F.TO0.770.00-0.120.570.601.000.730.83
XUU.TO0.890.02-0.090.560.580.731.000.84
Portfolio0.820.060.020.710.860.830.841.00
The correlation results are calculated based on daily price changes starting from Feb 23, 2015