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bigtech
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


TSLA 20.00%BRK-B 20.00%NVDA 10.00%META 10.00%NFLX 10.00%AAPL 7.00%MSFT 7.00%AMZN 7.00%GOOG 7.00%1 position 2.00%EquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in bigtech, 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 16, 2026, the bigtech returned -1.53% Year-To-Date and 35.66% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.80%4.83%2.59%5.27%30.14%19.29%10.91%12.94%
Portfolio
bigtech
2.42%4.81%-1.53%-1.57%34.93%41.62%25.40%35.66%
AAPL
Apple Inc
2.94%5.38%-1.91%7.06%32.38%17.83%15.31%26.76%
TSLA
Tesla, Inc.
7.62%-0.91%-12.85%-9.93%54.24%28.44%9.71%36.89%
MSFT
Microsoft Corporation
4.61%2.82%-14.78%-19.57%7.42%13.73%10.45%23.71%
NVDA
NVIDIA Corporation
1.20%8.54%6.64%10.60%77.29%95.21%65.80%71.40%
AMZN
Amazon.com, Inc
-0.21%17.36%7.66%15.28%38.37%34.33%7.89%23.02%
META
Meta Platforms, Inc.
1.37%7.03%1.83%-6.25%29.18%45.12%17.19%19.96%
GOOG
Alphabet Inc
1.18%9.87%6.66%33.06%111.51%45.51%24.03%24.41%
NFLX
Netflix, Inc.
1.35%13.14%14.88%-10.49%10.33%47.07%14.53%25.46%
INOD
Innodata Inc.
6.10%-0.77%-13.95%-47.17%22.80%76.89%44.45%34.70%
BRK-B
Berkshire Hathaway Inc.
-0.72%-3.68%-5.68%-4.49%-10.24%14.03%11.74%12.70%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Apr 4, 2014, bigtech's average daily return is +0.13%, while the average monthly return is +2.67%. At this rate, an investment would double in approximately 2.2 years.

Historically, 63% of months were positive and 37% were negative. The best month was Aug 2020 with a return of +29.3%, while the worst month was Apr 2022 at -18.8%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 5 months.

On a daily basis, bigtech closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +13.3%, while the worst single day was Mar 16, 2020 at -13.6%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-1.84%-3.06%-5.25%9.22%-1.53%
20252.93%-4.63%-7.44%3.65%10.55%3.84%1.04%2.95%10.48%0.82%-1.29%-0.75%22.72%
20242.54%9.94%0.92%-3.25%9.34%7.29%3.23%1.47%5.73%0.24%15.00%4.29%71.91%
202320.55%7.33%9.47%-1.55%14.04%11.31%4.33%-0.44%-5.95%-3.98%11.29%3.19%90.68%
2022-8.45%-5.32%10.11%-18.84%-4.30%-12.23%17.86%-6.83%-7.68%-0.21%5.01%-10.89%-38.40%
20211.83%-1.29%2.43%7.91%-1.50%6.76%1.14%6.98%-2.55%15.80%2.22%-1.84%43.12%

Benchmark Metrics

bigtech has an annualized alpha of 18.41%, beta of 1.25, and R² of 0.69 versus S&P 500 Index. Calculated based on daily prices since April 04, 2014.

  • This portfolio captured 189.56% of S&P 500 Index gains but only 93.03% of its losses — a favorable profile for investors.
  • This portfolio generated an annualized alpha of 18.41% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
18.41%
Beta
1.25
0.69
Upside Capture
189.56%
Downside Capture
93.03%

Expense Ratio

bigtech 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

bigtech ranks 17 for risk / return — in the bottom 17% of portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.


bigtech Risk / Return Rank: 1717
Overall Rank
bigtech Sharpe Ratio Rank: 1717
Sharpe Ratio Rank
bigtech Sortino Ratio Rank: 1717
Sortino Ratio Rank
bigtech Omega Ratio Rank: 1717
Omega Ratio Rank
bigtech Calmar Ratio Rank: 1717
Calmar Ratio Rank
bigtech Martin Ratio Rank: 1818
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

1.79

2.30

-0.51

Sortino ratio

Return per unit of downside risk

2.51

3.18

-0.67

Omega ratio

Gain probability vs. loss probability

1.31

1.43

-0.11

Calmar ratio

Return relative to maximum drawdown

2.19

3.40

-1.21

Martin ratio

Return relative to average drawdown

7.03

15.35

-8.32


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
691.372.071.272.546.07
TSLA
Tesla, Inc.
621.111.691.201.854.61
MSFT
Microsoft Corporation
370.300.581.080.200.48
NVDA
NVIDIA Corporation
812.242.801.353.929.80
AMZN
Amazon.com, Inc
631.231.851.231.583.82
META
Meta Platforms, Inc.
520.821.431.180.721.76
GOOG
Alphabet Inc
944.024.911.625.3319.58
NFLX
Netflix, Inc.
390.320.681.090.400.82
INOD
Innodata Inc.
410.271.011.120.290.56
BRK-B
Berkshire Hathaway Inc.
12-0.65-0.790.90-0.64-1.07

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.

bigtech Sharpe ratios as of Apr 16, 2026 (values are recalculated daily):

  • 1-Year: 1.79
  • 5-Year: 0.93
  • 10-Year: 1.31
  • All Time: 1.28

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 2.19 to 3.00, 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 bigtech 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

bigtech provided a 0.14% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio0.14%0.13%0.14%0.09%0.13%0.09%0.12%0.18%0.29%0.26%0.35%0.42%
AAPL
Apple Inc
0.39%0.38%0.40%0.49%0.70%0.49%0.61%1.04%1.79%1.45%1.93%1.93%
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
0.85%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
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%
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%
META
Meta Platforms, Inc.
0.31%0.32%0.34%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
GOOG
Alphabet Inc
0.25%0.26%0.32%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
NFLX
Netflix, 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%
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%
BRK-B
Berkshire Hathaway 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 bigtech. 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 bigtech was 43.09%, occurring on Dec 28, 2022. Recovery took 113 trading sessions.

The current bigtech drawdown is 4.86%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-43.09%Nov 5, 2021288Dec 28, 2022113Jun 12, 2023401
-37.28%Feb 20, 202020Mar 18, 202056Jun 8, 202076
-23.5%Dec 26, 202470Apr 8, 202551Jun 23, 2025121
-23%Aug 8, 201896Dec 24, 2018210Oct 24, 2019306
-20.53%Dec 7, 201543Feb 8, 201640Apr 6, 201683

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 10 assets, with an effective number of assets of 7.69, 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.

BenchmarkINODBRK-BTSLANFLXNVDAAAPLMETAAMZNGOOGMSFTPortfolio
Benchmark1.000.280.650.470.490.630.670.610.640.690.730.79
INOD0.281.000.120.210.150.220.160.200.180.180.200.30
BRK-B0.650.121.000.220.250.280.390.300.310.380.390.45
TSLA0.470.210.221.000.370.410.400.370.410.390.380.78
NFLX0.490.150.250.371.000.440.420.490.520.450.480.64
NVDA0.630.220.280.410.441.000.490.500.530.510.580.70
AAPL0.670.160.390.400.420.491.000.490.530.550.580.65
META0.610.200.300.370.490.500.491.000.610.630.570.68
AMZN0.640.180.310.410.520.530.530.611.000.660.630.70
GOOG0.690.180.380.390.450.510.550.630.661.000.650.68
MSFT0.730.200.390.380.480.580.580.570.630.651.000.69
Portfolio0.790.300.450.780.640.700.650.680.700.680.691.00
The correlation results are calculated based on daily price changes starting from Apr 4, 2014