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SI-GrnyETF-Stks
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


35 positions 100.00%EquityEquity
PositionCategory/SectorTarget Weight
AXON
Axon Enterprise, Inc.
Industrials
3.70%
TSLA
Tesla, Inc.
Consumer Cyclical
3.43%
NFLX
Netflix, Inc.
Communication Services
3.19%
QQQ
Invesco QQQ ETF
Nasdaq-100
3.10%
ORCL
Oracle Corporation
Technology
3.03%
PWR
Quanta Services, Inc.
Industrials
2.97%
JCI
Johnson Controls International plc
Industrials
2.94%
EMR
Emerson Electric Co.
Industrials
2.93%
PANW
Palo Alto Networks, Inc.
Technology
2.91%
CDNS
Cadence Design Systems, Inc.
Technology
2.89%
IR
Ingersoll-Rand Plc
Industrials
2.88%
ETN
Eaton Corporation plc
Industrials
2.88%
AAPL
Apple Inc
Technology
2.88%
NVDA
NVIDIA Corporation
Technology
2.86%
SPGI
S&P Global Inc.
Financial Services
2.85%
ISRG
Intuitive Surgical, Inc.
Healthcare
2.85%
CBRE
CBRE Group, Inc.
Real Estate
2.85%
BNY
The Bank of New York Mellon Corporation
Financial Services
2.84%
PGR
The Progressive Corporation
Financial Services
2.83%
GOOGL
Alphabet Inc. Class A
Communication Services
2.83%
COST
Costco Wholesale Corporation
Consumer Defensive
2.83%
JPM
JPMorgan Chase & Co.
Financial Services
2.82%
GS
The Goldman Sachs Group, Inc.
Financial Services
2.81%
GRMN
Garmin Ltd.
Technology
2.78%
AXP
American Express Company
Financial Services
2.77%
AMZN
Amazon.com, Inc
Consumer Cyclical
2.77%
MSFT
Microsoft Corporation
Technology
2.76%
META
Meta Platforms, Inc.
Communication Services
2.72%
AMD
Advanced Micro Devices, Inc.
Technology
2.68%
BKNG
Booking Holdings Inc.
Consumer Cyclical
2.65%
GWW
W.W. Grainger, Inc.
Industrials
2.63%
TDG
TransDigm Group Incorporated
Industrials
2.61%
CAT
Caterpillar Inc.
Industrials
2.61%
ANET
Arista Networks, Inc.
Technology
2.54%
LDOS
Leidos Holdings, Inc.
Technology
2.38%

S&P 500 Index

Portfolio Optimizer

Find the right asset allocation for SI-GrnyETF-Stks

Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in SI-GrnyETF-Stks, 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


Position1D1M6MYTD1Y3Y*5Y*10Y*ALL TIME*
Benchmark
S&P 500 Index
-0.19%-0.76%7.25%8.73%18.21%17.95%11.30%13.09%8.08%
Portfolio
SI-GrnyETF-Stks
-0.46%-0.73%7.25%10.33%16.82%31.38%24.21%28.57%
AAPL
Apple Inc
-2.14%9.59%28.05%20.35%55.26%19.94%18.17%30.70%19.46%
AMD
Advanced Micro Devices, Inc.
1.58%-6.29%117.22%135.14%220.77%65.57%41.30%56.16%9.74%
AMZN
Amazon.com, Inc
1.12%2.29%4.55%8.31%10.55%24.35%6.88%20.97%29.87%
ANET
Arista Networks, Inc.
0.44%-0.19%30.44%29.25%51.50%58.03%49.14%44.04%37.87%
AXON
Axon Enterprise, Inc.
3.37%24.58%-17.07%-7.12%-30.24%43.11%23.79%33.90%31.13%
AXP
American Express Company
-0.96%4.41%-2.96%-4.10%15.50%28.88%16.74%20.17%10.18%
BKNG
Booking Holdings Inc.
-1.23%4.47%-11.89%-15.83%-20.67%16.16%15.87%13.19%8.86%
BNY
The Bank of New York Mellon Corporation
-0.13%9.26%30.43%36.32%61.76%55.66%29.20%17.86%11.65%
CAT
Caterpillar Inc.
-1.63%-12.16%34.42%51.79%111.57%51.81%34.91%29.78%10.57%
CBRE
CBRE Group, Inc.
-1.66%5.37%-19.21%-13.79%-0.61%16.48%10.03%16.94%14.98%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since May 12, 2017, SI-GrnyETF-Stks's average daily return is +0.11%, while the average monthly return is +2.27%. At this rate, an investment would double in approximately 2.6 years.

Historically, 70% of months were positive and 30% were negative. The best month was Nov 2020 with a return of +15.6%, while the worst month was Apr 2022 at -12.9%. The longest winning streak lasted 9 consecutive months, and the longest losing streak was 3 months.

On a daily basis, SI-GrnyETF-Stks closed higher 57% of trading days. The best single day was Apr 9, 2025 with a return of +11.1%, while the worst single day was Mar 16, 2020 at -11.9%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20260.94%-0.90%-5.69%11.79%5.42%0.94%-1.69%10.33%
20253.84%-4.30%-7.02%2.89%9.85%7.71%3.42%0.37%4.07%3.33%-3.09%-0.21%21.44%
20243.00%8.96%3.72%-3.18%5.82%3.65%2.12%3.62%4.75%1.31%10.96%-3.39%48.84%
202311.61%2.30%5.03%-0.23%4.69%9.28%1.97%0.96%-5.14%-2.16%12.79%6.83%57.58%
2022-8.04%-2.68%4.60%-12.91%-1.07%-9.29%13.88%-3.64%-9.70%9.91%9.19%-6.70%-18.83%
2021-0.83%4.67%2.94%6.22%0.80%4.06%3.71%4.99%-3.87%9.41%0.13%2.77%40.31%

Benchmark Metrics

SI-GrnyETF-Stks has an annualized alpha of 12.25%, beta of 1.14, and R2 of 0.92 versus S&P 500 Index. Calculated based on daily prices since May 12, 2017.

  • This portfolio captured 155.42% of S&P 500 Index gains but only 95.67% of its losses - a favorable profile for investors.
  • This portfolio generated an annualized alpha of 12.25% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • With beta of 1.14 and R2 of 0.92, 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
12.25%
Beta
1.14
0.92
Upside Capture
155.42%
Downside Capture
95.67%

Expense Ratio

SI-GrnyETF-Stks has an expense ratio of 0.01%, 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

SI-GrnyETF-Stks ranks 20 for risk / return — in the bottom 20% 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.


SI-GrnyETF-Stks Risk / Return Rank: 2020
Overall Rank
SI-GrnyETF-Stks Sharpe Ratio Rank: 1919
Sharpe Ratio Rank
SI-GrnyETF-Stks Sortino Ratio Rank: 2020
Sortino Ratio Rank
SI-GrnyETF-Stks Omega Ratio Rank: 1919
Omega Ratio Rank
SI-GrnyETF-Stks Calmar Ratio Rank: 2020
Calmar Ratio Rank
SI-GrnyETF-Stks Martin Ratio Rank: 2222
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 SI-GrnyETF-Stks 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

1.03

1.45

-0.43

Sortino ratioReturn per unit of downside risk

1.48

2.03

-0.55

Omega ratioGain probability vs. loss probability

1.18

1.26

-0.08

Calmar ratioReturn relative to maximum drawdown

1.35

2.01

-0.66

Martin ratioReturn relative to average drawdown

4.64

8.68

-4.04


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
92
2.273.091.414.029.58
AMD
Advanced Micro Devices, Inc.
96
3.233.501.458.0116.22
AMZN
Amazon.com, Inc
56
0.340.691.080.491.07
ANET
Arista Networks, Inc.
74
0.941.551.191.833.76
AXON
Axon Enterprise, Inc.
25
-0.52-0.490.94-0.50-0.81
AXP
American Express Company
61
0.590.951.130.651.37
BKNG
Booking Holdings Inc.
19
-0.61-0.710.92-0.63-1.12
BNY
The Bank of New York Mellon Corporation
96
2.953.671.476.1217.19
CAT
Caterpillar Inc.
96
2.953.581.456.0021.63
CBRE
CBRE Group, Inc.
43
-0.020.191.03-0.02-0.05

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 SI-GrnyETF-Stks Sharpe ratio is 1.03 as of Jul 21, 2026 (the value is recalculated daily), calculated over the past 12 months.

Compared to the broad market, where average Sharpe ratios range from 1.20 to 1.99, 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 SI-GrnyETF-Stks 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

SI-GrnyETF-Stks provided a 1.10% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio1.10%0.80%0.79%0.91%0.94%0.85%0.95%1.44%1.12%1.24%2.06%1.46%
AAPL
Apple Inc
0.32%0.38%0.40%0.49%0.70%0.49%0.61%1.04%1.79%1.45%1.93%1.93%
AMD
Advanced Micro Devices, 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%
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%
ANET
Arista Networks, 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%
AXON
Axon Enterprise, 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%
AXP
American Express Company
1.01%0.85%0.91%1.24%1.35%1.05%1.42%1.29%1.51%1.32%1.61%1.58%
BKNG
Booking Holdings Inc.
0.90%0.72%0.70%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
BNY
The Bank of New York Mellon Corporation
1.35%1.72%2.32%3.04%3.12%2.24%2.92%2.34%2.21%1.60%1.52%1.65%
CAT
Caterpillar Inc.
0.89%1.02%1.49%1.69%1.93%2.07%2.26%2.56%2.58%1.97%3.32%4.33%
CBRE
CBRE Group, 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 SI-GrnyETF-Stks. 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 SI-GrnyETF-Stks was 35.21%, occurring on Mar 23, 2020. Recovery took 76 trading sessions.

The current SI-GrnyETF-Stks drawdown is 3.91%.


Drawdown

Fall

Recovery

Underwater

Related event

-35.21%Mar 2020
1mo 2d3mo 19d
4mo 21dFeb 2020 - Jul 2020
COVID crash2020
-29.55%Jun 2022
5mo 20d11mo 14d
1y 4moDec 2021 - May 2023
Bear market2022
-24.23%Dec 2018
3mo 8d2mo 27d
6mo 5dSep 2018 - Mar 2019
Rate-hike selloffLate 2018
-22.78%Apr 2025
2mo 14d1mo 29d
4mo 13dJan 2025 - Jun 2025
2025 selloff2025
-12.51%Mar 2026
5mo 3d18d
5mo 21dOct 2025 - Apr 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 35 assets, with an effective number of assets of 34.77, 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
All Time
Diversification Ratio

2.18

1.75

1.62

1.56

The portfolio has a diversification ratio of 1.56, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

SI-GrnyETF-Stks correlation to the S&P 500 Index

SI-GrnyETF-Stks has a 0.93 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

0.93

Correlation (3Y)
Calculated over the trailing 3-year period

0.93

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

0.95

Correlation (All Time)
Calculated using the full available price history since May 12, 2017

0.94


Benchmark Correlations

Correlation vs. S&P 500 Index. QQQ has the highest benchmark correlation at 0.91, while PGR has the lowest at 0.32.

PGR
0.32
LDOS
0.45
AXON
0.45
NFLX
0.50
TSLA
0.50
COST
0.50
PANW
0.51
GWW
0.53
TDG
0.56
BNY
0.57

Portfolio Correlations

Correlation vs. SI-GrnyETF-Stks. QQQ has the highest portfolio correlation at 0.90, while PGR has the lowest at 0.29.

PGR
0.29
LDOS
0.44
COST
0.46
GWW
0.54
NFLX
0.54
AXON
0.56
BNY
0.56
TSLA
0.57
PANW
0.58
JPM
0.58

Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

PGRLDOSCOSTTSLAAXONNFLXPANWGWWAMDBNYORCLBKNGTDGJPMMETAPWRCATIRJCIANETSPGIAAPLAMZNCBRENVDAGOOGLGRMNGSISRGAXPEMRCDNSETNMSFTQQQ
PGR1.000.320.290.040.130.160.160.310.070.310.210.190.270.340.140.220.250.240.250.170.340.200.120.270.110.130.270.250.240.320.250.170.240.230.19
LDOS0.321.000.280.170.250.170.240.370.180.330.290.270.410.340.200.340.350.350.330.260.380.240.180.380.190.250.380.340.340.400.400.270.360.300.32
COST0.290.281.000.250.250.330.290.360.270.230.290.260.280.230.330.270.230.260.300.310.430.400.370.320.330.340.350.260.410.300.270.390.280.430.48
TSLA0.040.170.251.000.310.360.380.220.420.240.300.300.250.240.370.280.260.280.260.360.280.420.420.290.440.400.330.300.360.300.270.410.290.390.57
AXON0.130.250.250.311.000.340.380.250.340.250.320.350.350.250.360.330.240.300.310.380.350.320.390.330.400.340.380.320.400.300.300.420.330.410.47
NFLX0.160.170.330.360.341.000.400.180.400.200.340.350.280.210.500.220.190.230.230.390.350.450.550.260.470.440.320.260.430.270.220.460.230.510.58
PANW0.160.240.290.380.380.401.000.250.380.250.400.340.300.210.390.290.220.260.240.490.390.410.450.290.450.410.360.270.440.300.270.520.290.490.57
GWW0.310.370.360.220.250.180.251.000.240.410.310.320.380.430.250.450.500.500.470.320.410.340.270.450.270.300.420.440.330.440.570.320.530.310.41
AMD0.070.180.270.420.340.400.380.241.000.270.380.310.300.260.460.350.330.340.330.500.340.440.500.300.670.480.360.330.420.310.350.540.390.490.67
BNY0.310.330.230.240.250.200.250.410.271.000.340.410.410.720.290.450.540.470.480.300.390.290.260.510.310.340.430.680.310.610.550.280.520.290.40
ORCL0.210.290.290.300.320.340.400.310.380.341.000.340.330.330.400.370.360.320.360.450.420.390.410.370.440.420.410.400.440.380.410.530.430.530.57
BKNG0.190.270.260.300.350.350.340.320.310.410.341.000.470.430.420.360.400.410.390.350.390.390.430.470.400.440.390.460.440.500.420.410.400.410.52
TDG0.270.410.280.250.350.280.300.380.300.410.330.471.000.430.320.450.450.480.470.330.410.340.330.470.350.360.430.450.420.520.500.390.490.360.45
JPM0.340.340.230.240.250.210.210.430.260.720.330.430.431.000.290.460.570.500.500.310.390.320.280.520.300.340.440.760.330.690.580.280.530.300.41
META0.140.200.330.370.360.500.390.250.460.290.400.420.320.291.000.310.280.320.320.450.410.490.620.360.540.640.380.340.490.370.320.520.360.590.70
PWR0.220.340.270.280.330.220.290.450.350.450.370.360.450.460.311.000.580.520.570.420.330.330.280.450.390.330.460.490.380.450.590.410.650.320.49
CAT0.250.350.230.260.240.190.220.500.330.540.360.400.450.570.280.581.000.600.560.370.330.320.280.480.350.350.460.580.340.540.710.330.670.280.46
IR0.240.350.260.280.300.230.260.500.340.470.320.410.480.500.320.520.601.000.550.350.390.340.310.510.340.350.460.510.370.520.660.370.630.330.46
JCI0.250.330.300.260.310.230.240.470.330.480.360.390.470.500.320.570.560.551.000.360.380.340.300.490.370.340.490.520.370.510.600.350.670.320.48
ANET0.170.260.310.360.380.390.490.320.500.300.450.350.330.310.450.420.370.350.361.000.380.430.490.360.560.470.410.360.470.350.400.570.470.520.65
SPGI0.340.380.430.280.350.350.390.410.340.390.420.390.410.390.410.330.330.390.380.381.000.430.420.510.400.430.490.420.530.470.430.520.390.540.55
AAPL0.200.240.400.420.320.450.410.340.440.290.390.390.340.320.490.330.320.340.340.430.431.000.560.390.510.580.450.380.500.380.380.520.370.610.74
AMZN0.120.180.370.420.390.550.450.270.500.260.410.430.330.280.620.280.280.310.300.490.420.561.000.350.570.660.420.340.510.360.330.560.350.660.76
CBRE0.270.380.320.290.330.260.290.450.300.510.370.470.470.520.360.450.480.510.490.360.510.390.351.000.330.380.520.560.450.570.550.400.490.390.49
NVDA0.110.190.330.440.400.470.450.270.670.310.440.400.350.300.540.390.350.340.370.560.400.510.570.331.000.540.410.380.500.350.370.620.450.600.76
GOOGL0.130.250.340.400.340.440.410.300.480.340.420.440.360.340.640.330.350.350.340.470.430.580.660.380.541.000.430.400.520.420.400.550.390.650.76
GRMN0.270.380.350.330.380.320.360.420.360.430.410.390.430.440.380.460.460.460.490.410.490.450.420.520.410.431.000.470.490.490.530.490.510.450.57
GS0.250.340.260.300.320.260.270.440.330.680.400.460.450.760.340.490.580.510.520.360.420.380.340.560.380.400.471.000.370.660.580.370.550.360.51
ISRG0.240.340.410.360.400.430.440.330.420.310.440.440.420.330.490.380.340.370.370.470.530.500.510.450.500.520.490.371.000.420.420.580.420.590.66
AXP0.320.400.300.300.300.270.300.440.310.610.380.500.520.690.370.450.540.520.510.350.470.380.360.570.350.420.490.660.421.000.580.380.520.390.50
EMR0.250.400.270.270.300.220.270.570.350.550.410.420.500.580.320.590.710.660.600.400.430.380.330.550.370.400.530.580.420.581.000.400.710.370.51
CDNS0.170.270.390.410.420.460.520.320.540.280.530.410.390.280.520.410.330.370.350.570.520.520.560.400.620.550.490.370.580.380.401.000.430.650.75
ETN0.240.360.280.290.330.230.290.530.390.520.430.400.490.530.360.650.670.630.670.470.390.370.350.490.450.390.510.550.420.520.710.431.000.390.55
MSFT0.230.300.430.390.410.510.490.310.490.290.530.410.360.300.590.320.280.330.320.520.540.610.660.390.600.650.450.360.590.390.370.650.391.000.79
QQQ0.190.320.480.570.470.580.570.410.670.400.570.520.450.410.700.490.460.460.480.650.550.740.760.490.760.760.570.510.660.500.510.750.550.791.00
The correlation results are calculated based on daily price changes starting from May 12, 2017
Diversification Analysis

Find what SI-GrnyETF-Stks is missing

See which holdings overlap, where SI-GrnyETF-Stks is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification