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Experiment 1
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


FBTC 11.11%AAPL 11.11%AMZN 11.11%TSM 11.11%ASML 11.11%GOOG 11.11%NVDA 11.11%TSLA 11.11%MSFT 11.11%CryptocurrencyCryptocurrencyEquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Experiment 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 Jan 11, 2024, corresponding to the inception date of FBTC

Returns By Period


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.11%-4.18%-3.84%-1.98%21.98%16.86%10.37%12.29%
Portfolio
Experiment 1
-1.05%-5.57%-6.38%-5.03%48.25%
AAPL
Apple Inc
0.11%-2.51%-5.78%-0.62%26.50%16.04%16.39%26.10%
AMZN
Amazon.com, Inc
-0.38%-3.25%-9.12%-4.44%17.58%27.00%5.83%21.61%
TSM
Taiwan Semiconductor Manufacturing Company Limited
-0.72%-4.88%11.88%16.66%118.04%56.27%24.16%32.63%
ASML
ASML Holding N.V.
-3.13%-5.87%23.29%28.01%113.73%26.32%16.83%30.54%
GOOG
Alphabet Inc
-0.15%-2.89%-6.10%19.64%93.59%41.44%22.67%23.06%
NVDA
NVIDIA Corporation
0.93%-3.08%-4.88%-5.44%74.29%85.17%66.71%70.07%
TSLA
Tesla, Inc.
-5.42%-11.17%-19.82%-16.11%34.91%22.79%10.33%36.16%
MSFT
Microsoft Corporation
1.11%-7.83%-22.60%-27.51%0.86%10.00%9.94%22.58%
FBTC
Fidelity Wise Origin Bitcoin Trust
-1.68%-8.35%-23.44%-45.54%-18.43%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Jan 12, 2024, Experiment 1's average daily return is +0.14%, while the average monthly return is +2.61%. At this rate, your investment would double in approximately 2.2 years.

Historically, 68% of months were positive and 32% were negative. The best month was Feb 2024 with a return of +13.3%, while the worst month was Feb 2025 at -10.0%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 2 months.

On a daily basis, Experiment 1 closed higher 56% of trading days. The best single day was Apr 9, 2025 with a return of +13.6%, while the worst single day was Apr 3, 2025 at -6.4%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20263.56%-4.71%-5.41%0.31%-6.38%
20252.24%-9.95%-8.16%2.88%12.80%6.41%3.93%1.64%13.06%6.37%-3.17%0.48%29.05%
20242.20%13.31%4.25%-3.27%9.23%7.59%-0.21%-2.60%4.42%-0.04%11.20%4.67%62.06%

Benchmark Metrics

Experiment 1 has an annualized alpha of 10.43%, beta of 1.54, and R² of 0.79 versus S&P 500 Index. Calculated based on daily prices since January 12, 2024.

  • This portfolio captured 193.82% of S&P 500 Index gains and 110.77% of its losses — amplifying both gains and losses, but participating more in upside than downside.
  • This portfolio generated an annualized alpha of 10.43% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.
  • Beta of 1.54 means this portfolio moves significantly more than S&P 500 Index — expect amplified gains in rallies and amplified losses in downturns.

Alpha
10.43%
Beta
1.54
0.79
Upside Capture
193.82%
Downside Capture
110.77%

Expense Ratio

Experiment 1 has an expense ratio of 0.03%, 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

Experiment 1 ranks 63 for risk / return — better than 63% 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.


Experiment 1 Risk / Return Rank: 6363
Overall Rank
Experiment 1 Sharpe Ratio Rank: 6161
Sharpe Ratio Rank
Experiment 1 Sortino Ratio Rank: 6565
Sortino Ratio Rank
Experiment 1 Omega Ratio Rank: 5353
Omega Ratio Rank
Experiment 1 Calmar Ratio Rank: 7474
Calmar Ratio Rank
Experiment 1 Martin Ratio Rank: 6161
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

1.38

0.88

+0.50

Sortino ratio

Return per unit of downside risk

2.06

1.37

+0.70

Omega ratio

Gain probability vs. loss probability

1.27

1.21

+0.06

Calmar ratio

Return relative to maximum drawdown

2.60

1.39

+1.21

Martin ratio

Return relative to average drawdown

8.96

6.43

+2.53


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
AAPL
Apple Inc
550.470.921.130.662.04
AMZN
Amazon.com, Inc
460.200.551.070.421.00
TSM
Taiwan Semiconductor Manufacturing Company Limited
932.643.231.415.7018.99
ASML
ASML Holding N.V.
922.372.971.385.5815.42
GOOG
Alphabet Inc
942.873.821.474.1415.67
NVDA
NVIDIA Corporation
811.472.171.273.027.54
TSLA
Tesla, Inc.
600.501.101.131.253.01
MSFT
Microsoft Corporation
35-0.060.111.01-0.05-0.12
FBTC
Fidelity Wise Origin Bitcoin Trust
4-0.51-0.490.94-0.43-0.91

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.

Experiment 1 Sharpe ratios as of Apr 4, 2026 (values are recalculated daily):

  • 1-Year: 1.38
  • All Time: 1.29

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 1.69, 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 Experiment 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

Experiment 1 provided a 0.37% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio0.37%0.37%0.40%0.43%0.63%0.37%0.41%0.82%0.95%0.73%0.92%0.97%
AAPL
Apple Inc
0.41%0.38%0.40%0.49%0.70%0.49%0.61%1.04%1.79%1.45%1.93%1.93%
AMZN
Amazon.com, 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%
ASML
ASML Holding N.V.
0.71%0.97%0.97%0.86%1.27%0.50%0.50%1.40%0.94%0.64%0.92%0.73%
GOOG
Alphabet Inc
0.29%0.26%0.32%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
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%
TSLA
Tesla, 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
0.93%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
FBTC
Fidelity Wise Origin Bitcoin Trust
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 Experiment 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 Experiment 1 was 29.85%, occurring on Apr 8, 2025. Recovery took 64 trading sessions.

The current Experiment 1 drawdown is 11.65%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-29.85%Dec 18, 202475Apr 8, 202564Jul 11, 2025139
-18.79%Jul 11, 202418Aug 5, 202467Nov 7, 202485
-15.58%Jan 28, 202643Mar 30, 2026
-9.98%Apr 12, 20246Apr 19, 202418May 15, 202424
-9.27%Nov 4, 202513Nov 20, 202534Jan 12, 202647

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 9 assets, with an effective number of assets of 9.00, 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.

BenchmarkFBTCAAPLTSLAGOOGMSFTASMLNVDATSMAMZNPortfolio
Benchmark1.000.400.540.560.580.660.630.640.620.660.83
FBTC0.401.000.140.380.250.250.290.290.280.290.56
AAPL0.540.141.000.370.400.350.340.270.270.360.48
TSLA0.560.380.371.000.410.370.360.350.370.410.70
GOOG0.580.250.400.411.000.450.380.360.380.560.61
MSFT0.660.250.350.370.451.000.410.520.440.590.63
ASML0.630.290.340.360.380.411.000.560.670.430.71
NVDA0.640.290.270.350.360.520.561.000.660.460.73
TSM0.620.280.270.370.380.440.670.661.000.430.74
AMZN0.660.290.360.410.560.590.430.460.431.000.68
Portfolio0.830.560.480.700.610.630.710.730.740.681.00
The correlation results are calculated based on daily price changes starting from Jan 12, 2024