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chatgpt 6月8
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


GLD 15.00%TPL 20.00%AVGO 20.00%AAPL 20.00%HESAY 20.00%TECL 5.00%CommodityCommodityEquityEquity

S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in chatgpt 6月8, 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 chatgpt 6月8 returned 19.90% Year-To-Date and 36.55% of annualized return in the last 10 years.


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
chatgpt 6月8
2.39%0.48%19.90%20.49%39.39%39.48%31.69%36.55%
AAPL
Apple Inc
1.82%-1.27%9.24%8.34%51.49%17.58%18.50%29.88%
AVGO
Broadcom Inc.
3.11%-7.35%14.06%16.39%59.68%67.77%56.37%41.61%
GLD
SPDR Gold Shares
2.59%-4.97%0.06%0.19%25.38%29.73%18.31%12.33%
HESAY
Hermes International SA
1.42%9.10%-18.99%-20.48%-23.55%-1.78%7.50%19.32%
TECL
Direxion Daily Technology Bull 3X Shares
11.01%22.64%103.81%109.85%222.44%68.74%39.49%53.63%
TPL
Texas Pacific Land Corporation
-4.26%-5.67%26.65%29.97%-2.18%35.41%17.26%35.75%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Aug 28, 2009, chatgpt 6月8's average daily return is +0.12%, while the average monthly return is +2.53%. At this rate, an investment would double in approximately 2.3 years.

Historically, 69% of months were positive and 31% were negative. The best month was Apr 2020 with a return of +20.9%, while the worst month was Mar 2020 at -14.5%. The longest winning streak lasted 13 consecutive months, and the longest losing streak was 3 months.

On a daily basis, chatgpt 6月8 closed higher 56% of trading days. The best single day was Oct 7, 2010 with a return of +18.7%, while the worst single day was Mar 16, 2020 at -10.8%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20263.57%12.37%-9.51%10.98%7.90%-4.93%19.90%
20255.73%1.03%-6.99%2.95%3.73%4.68%-1.57%2.71%7.65%5.52%0.57%-3.09%24.28%
2024-1.15%7.95%3.22%-2.27%5.44%10.91%3.56%3.51%3.60%3.99%9.13%-0.40%58.01%
20236.53%-2.41%9.36%-0.94%4.48%5.99%4.85%3.25%-7.63%1.98%7.12%5.04%43.09%
2022-9.76%-0.26%6.92%-8.69%1.54%-7.92%16.71%-4.80%-8.95%11.99%12.38%-5.64%-1.28%
20211.79%7.82%11.67%4.47%1.93%5.19%2.18%-0.41%-6.58%8.70%6.41%5.60%59.41%

Benchmark Metrics

chatgpt 6月8 has an annualized alpha of 19.01%, beta of 0.99, and R2 of 0.60 versus S&P 500 Index. Calculated based on daily prices since August 28, 2009.

  • This portfolio captured 156.06% of S&P 500 Index gains but only 68.74% of its losses - a favorable profile for investors.
  • This portfolio generated an annualized alpha of 19.01% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • With beta of 0.99 and R2 of 0.60, this portfolio moves broadly in line with S&P 500 Index - much of its variation is explained by market exposure rather than independent behavior.

Alpha
19.01%
Beta
0.99
0.60
Upside Capture
156.06%
Downside Capture
68.74%

Expense Ratio

chatgpt 6月8 has an expense ratio of 0.11%, 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 6月8 ranks 31 for risk / return — below 31% 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.


chatgpt 6月8 Risk / Return Rank: 3131
Overall Rank
chatgpt 6月8 Sharpe Ratio Rank: 2727
Sharpe Ratio Rank
chatgpt 6月8 Sortino Ratio Rank: 2424
Sortino Ratio Rank
chatgpt 6月8 Omega Ratio Rank: 2626
Omega Ratio Rank
chatgpt 6月8 Calmar Ratio Rank: 3838
Calmar Ratio Rank
chatgpt 6月8 Martin Ratio Rank: 3838
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 chatgpt 6月8 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

1.80

2.14

-0.34

Sortino ratioReturn per unit of downside risk

2.32

2.89

-0.57

Omega ratioGain probability vs. loss probability

1.31

1.39

-0.08

Calmar ratioReturn relative to maximum drawdown

2.82

2.91

-0.09

Martin ratioReturn relative to average drawdown

10.79

13.08

-2.30


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
AAPL
Apple Inc
89
2.283.181.413.759.31
AVGO
Broadcom Inc.
76
1.321.891.252.094.85
GLD
SPDR Gold Shares
27
0.931.301.191.042.97
HESAY
Hermes International SA
14
-0.78-0.980.89-0.65-1.16
TECL
Direxion Daily Technology Bull 3X Shares
83
3.293.031.414.8113.42
TPL
Texas Pacific Land Corporation
39
-0.050.271.03-0.07-0.14

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 chatgpt 6月8 Sharpe ratio is 1.80 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 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 6月8 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 6月8 provided a 0.71% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.71%0.96%0.78%0.75%1.14%0.80%1.29%1.11%1.29%1.04%1.05%1.16%
AAPL
Apple Inc
0.35%0.38%0.40%0.49%0.70%0.49%0.61%1.04%1.79%1.45%1.93%1.93%
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%
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%
HESAY
Hermes International SA
1.05%1.18%1.13%0.67%0.57%0.31%0.46%0.68%0.91%1.55%1.81%2.54%
TECL
Direxion Daily Technology Bull 3X Shares
3.49%7.19%0.29%0.28%0.22%0.32%0.52%0.25%0.47%0.10%0.00%0.00%
TPL
Texas Pacific Land Corporation
0.62%0.74%1.37%0.83%1.37%0.88%2.20%0.22%0.55%0.30%0.10%0.22%

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 6月8. 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 6月8 was 36.44%, occurring on Mar 18, 2020. Recovery took 53 trading sessions.

The current chatgpt 6月8 drawdown is 9.44%.


Related event

Drawdown

Fall

Recovery

Underwater

COVID crash2020
-36.44%Mar 2020
1mo 4d2mo 17d
3mo 21dFeb 2020 - Jun 2020
Rate-hike selloffLate 2018
-24.11%Dec 2018
2mo 21d2mo 24d
5mo 15dOct 2018 - Mar 2019
2025 selloff2025
-22.86%Apr 2025
1mo 18d2mo 25d
4mo 13dFeb 2025 - Jul 2025
Bear market2022
-20.61%Jun 2022
5mo 21d4mo 27d
10mo 18dDec 2021 - Nov 2022
2016 correction2016
-18.77%Jan 2016
7mo 11d4mo 16d
11mo 27dJun 2015 - Jun 2016

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 5.41, 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

1.78

1.58

1.51

1.47

1.57

The portfolio has a diversification ratio of 1.57, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

chatgpt 6月8 correlation to the S&P 500 Index

chatgpt 6月8 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

0.75

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

0.80

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

0.77

Correlation (All Time)
Calculated using the full available price history since Aug 28, 2009

0.73


Benchmark Correlations

Correlation vs. S&P 500 Index. TECL has the highest benchmark correlation at 0.89, while GLD has the lowest at 0.06.

GLD
0.06
TPL
0.31
HESAY
0.37
AVGO
0.61
AAPL
0.62
TECL
0.89

Portfolio Correlations

Correlation vs. chatgpt 6月8. TECL has the highest portfolio correlation at 0.77, while GLD has the lowest at 0.20.

GLD
0.20
HESAY
0.51
TPL
0.57
AAPL
0.66
AVGO
0.73
TECL
0.77

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 Aug 28, 2009
Diversification Analysis

Find what chatgpt 6月8 is missing

See which holdings overlap, where chatgpt 6月8 is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification