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techstocks1
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


QQQ 16.67%NVDA 16.67%MSFT 16.67%META 16.67%GOOGL 16.67%AMZN 16.67%EquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in techstocks1, 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 May 18, 2012, corresponding to the inception date of META

Returns By Period

As of Apr 15, 2026, the techstocks1 returned 0.58% Year-To-Date and 32.06% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
1.18%5.05%1.78%4.86%28.88%18.97%10.81%12.85%
Portfolio
techstocks1
3.32%8.75%0.58%5.41%46.86%43.35%24.52%32.06%
QQQ
Invesco QQQ ETF
1.82%6.01%2.46%5.39%38.07%26.16%13.65%19.83%
NVDA
NVIDIA Corporation
3.80%9.02%5.37%9.17%77.54%94.43%64.94%71.19%
MSFT
Microsoft Corporation
2.27%-0.62%-18.53%-23.14%2.14%12.04%9.56%23.16%
META
Meta Platforms, Inc.
4.41%8.04%0.45%-6.36%25.04%44.46%16.75%19.80%
GOOGL
Alphabet Inc Class A
3.61%10.13%6.44%35.82%110.01%45.55%24.05%24.02%
AMZN
Amazon.com, Inc
3.81%19.91%7.88%15.08%36.73%34.43%8.07%23.05%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since May 21, 2012, techstocks1's average daily return is +0.12%, while the average monthly return is +2.46%. At this rate, an investment would double in approximately 2.4 years.

Historically, 68% of months were positive and 32% were negative. The best month was Jan 2023 with a return of +17.7%, while the worst month was Apr 2022 at -17.9%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 4 months.

On a daily basis, techstocks1 closed higher 56% of trading days. The best single day was Apr 9, 2025 with a return of +12.8%, while the worst single day was Mar 16, 2020 at -12.8%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20262.15%-7.97%-5.47%13.18%0.58%
20254.01%-5.83%-10.01%0.34%14.49%9.30%7.10%-0.29%4.35%4.77%-1.51%0.09%27.38%
20247.42%13.45%4.95%-3.77%9.13%8.39%-4.70%0.56%3.98%0.87%4.17%2.77%56.67%
202317.72%3.80%15.72%4.33%14.84%6.03%6.24%0.13%-5.29%-0.21%10.51%4.60%108.78%
2022-9.47%-6.57%5.61%-17.87%-1.69%-10.76%12.33%-6.82%-13.22%-4.53%11.24%-9.15%-43.59%
20210.23%2.21%2.70%10.31%0.13%9.31%2.51%7.19%-7.23%9.63%5.55%-1.80%47.16%

Benchmark Metrics

techstocks1 has an annualized alpha of 14.06%, beta of 1.27, and R² of 0.69 versus S&P 500 Index. Calculated based on daily prices since May 21, 2012.

  • This portfolio captured 172.52% of S&P 500 Index gains but only 95.02% of its losses — a favorable profile for investors.
  • This portfolio generated an annualized alpha of 14.06% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
14.06%
Beta
1.27
0.69
Upside Capture
172.52%
Downside Capture
95.02%

Expense Ratio

techstocks1 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

techstocks1 ranks 27 for risk / return — below 27% 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.


techstocks1 Risk / Return Rank: 2727
Overall Rank
techstocks1 Sharpe Ratio Rank: 3131
Sharpe Ratio Rank
techstocks1 Sortino Ratio Rank: 2828
Sortino Ratio Rank
techstocks1 Omega Ratio Rank: 2727
Omega Ratio Rank
techstocks1 Calmar Ratio Rank: 2525
Calmar Ratio Rank
techstocks1 Martin Ratio Rank: 2626
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

2.22

2.20

+0.02

Sortino ratio

Return per unit of downside risk

2.98

3.07

-0.08

Omega ratio

Gain probability vs. loss probability

1.38

1.41

-0.03

Calmar ratio

Return relative to maximum drawdown

2.72

3.55

-0.82

Martin ratio

Return relative to average drawdown

9.76

16.01

-6.24


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
QQQ
Invesco QQQ ETF
592.263.031.403.4713.22
NVDA
NVIDIA Corporation
822.252.811.354.0910.23
MSFT
Microsoft Corporation
330.090.291.040.110.28
META
Meta Platforms, Inc.
500.711.281.160.651.59
GOOGL
Alphabet Inc Class A
943.874.781.605.8221.71
AMZN
Amazon.com, Inc
631.171.791.221.724.14

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.

techstocks1 Sharpe ratios as of Apr 15, 2026 (values are recalculated daily):

  • 1-Year: 2.22
  • 5-Year: 0.85
  • 10-Year: 1.16
  • All Time: 1.20

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 2.14 to 2.99, 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 techstocks1 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

techstocks1 provided a 0.32% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio0.32%0.29%0.33%0.23%0.33%0.19%0.27%0.37%0.51%0.50%0.65%0.75%
QQQ
Invesco QQQ ETF
0.45%0.45%0.56%0.62%0.80%0.43%0.55%0.74%0.91%0.84%1.06%0.99%
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
0.89%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
META
Meta Platforms, Inc.
0.32%0.32%0.34%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
GOOGL
Alphabet Inc Class A
0.25%0.27%0.32%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
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%

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 techstocks1. 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 techstocks1 was 50.91%, occurring on Nov 3, 2022. Recovery took 171 trading sessions.

The current techstocks1 drawdown is 2.89%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-50.91%Nov 22, 2021240Nov 3, 2022171Jul 13, 2023411
-29.9%Feb 20, 202018Mar 16, 202039May 11, 202057
-29.55%Aug 30, 201880Dec 24, 2018144Jul 23, 2019224
-25.13%Jan 24, 202552Apr 8, 202553Jun 25, 2025105
-18.05%Oct 30, 2025102Mar 27, 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 6 assets, with an effective number of assets of 6.00, 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.

BenchmarkMETANVDAAMZNMSFTGOOGLQQQPortfolio
Benchmark1.000.560.610.640.710.680.910.79
META0.561.000.470.570.500.580.650.76
NVDA0.610.471.000.510.560.490.710.78
AMZN0.640.570.511.000.590.640.740.80
MSFT0.710.500.560.591.000.620.780.77
GOOGL0.680.580.490.640.621.000.740.78
QQQ0.910.650.710.740.780.741.000.91
Portfolio0.790.760.780.800.770.780.911.00
The correlation results are calculated based on daily price changes starting from May 21, 2012