PortfoliosLab logoPortfoliosLab logo
ETFs that neat s&p 500
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


UGL 16.67%SPY 16.67%SPMO 16.67%QQQ 16.67%SMH 16.67%GBTC 16.67%CommodityCommodityEquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in ETFs that neat s&p 500, 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 never rebalanced.


Loading graphics...

The earliest data available for this chart is Oct 12, 2015, corresponding to the inception date of SPMO

Returns By Period

As of Apr 4, 2026, the ETFs that neat s&p 500 returned -20.31% Year-To-Date and 41.62% of annualized return in the last 10 years.


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
ETFs that neat s&p 500
-1.52%-8.12%-20.31%-41.03%-12.26%45.89%2.62%41.62%
SPY
State Street SPDR S&P 500 ETF
0.09%-4.02%-3.56%-1.44%23.60%18.37%11.88%14.11%
SPMO
Invesco S&P 500 Momentum ETF
0.21%-4.32%-3.57%-3.95%30.58%28.37%17.71%17.43%
QQQ
Invesco QQQ ETF
0.11%-4.10%-4.65%-2.77%30.43%22.97%13.18%19.05%
UGL
ProShares Ultra Gold
-3.94%-18.86%9.85%30.77%93.11%56.26%34.59%20.29%
SMH
VanEck Semiconductor ETF
0.09%-1.70%8.94%16.89%101.23%44.85%26.17%31.69%
GBTC
Grayscale Bitcoin Trust (BTC)
-1.70%-8.49%-23.71%-45.88%-19.47%48.11%0.50%57.65%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Oct 13, 2015, ETFs that neat s&p 500's average daily return is +0.23%, while the average monthly return is +5.15%. At this rate, your investment would double in approximately 1.2 years.

Historically, 56% of months were positive and 44% were negative. The best month was May 2017 with a return of +113.9%, while the worst month was Mar 2018 at -37.2%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 5 months.

On a daily basis, ETFs that neat s&p 500 closed higher 51% of trading days. The best single day was Dec 18, 2017 with a return of +26.7%, while the worst single day was Dec 21, 2017 at -23.9%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-2.70%-18.34%1.04%-0.74%-20.31%
20258.18%-15.98%-2.40%12.87%10.88%3.36%7.70%-6.64%6.01%-3.20%-15.72%-3.12%-3.31%
20248.97%41.38%13.32%-15.76%13.85%-9.75%-2.17%-9.01%7.33%8.94%34.75%-3.71%104.08%
202335.87%-4.36%33.64%0.04%-11.24%30.46%0.51%-2.09%0.97%32.11%12.81%13.44%237.93%
2022-21.60%10.15%3.76%-13.36%-19.24%-36.55%20.00%-13.46%-9.29%5.13%-16.97%-7.78%-69.83%
20217.58%22.28%14.72%-5.69%-32.65%-0.87%14.80%8.15%-9.88%42.56%-6.14%-23.40%8.97%

Benchmark Metrics

ETFs that neat s&p 500 has an annualized alpha of 51.95%, beta of 1.16, and R² of 0.10 versus S&P 500 Index. Calculated based on daily prices since October 13, 2015.

  • This portfolio captured 238.30% of S&P 500 Index gains and 106.12% of its losses — amplifying both gains and losses, but participating more in upside than downside.
  • R² of 0.10 means this portfolio moves largely independently of S&P 500 Index — capture ratios reflect limited market correlation rather than active downside protection. Consider using a more representative benchmark.

Alpha
51.95%
Beta
1.16
0.10
Upside Capture
238.30%
Downside Capture
106.12%

Expense Ratio

ETFs that neat s&p 500 has an expense ratio of 0.28%, placing it in the medium range. 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

ETFs that neat s&p 500 ranks 3 for risk / return — in the bottom 3% 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.


ETFs that neat s&p 500 Risk / Return Rank: 33
Overall Rank
ETFs that neat s&p 500 Sharpe Ratio Rank: 22
Sharpe Ratio Rank
ETFs that neat s&p 500 Sortino Ratio Rank: 22
Sortino Ratio Rank
ETFs that neat s&p 500 Omega Ratio Rank: 22
Omega Ratio Rank
ETFs that neat s&p 500 Calmar Ratio Rank: 44
Calmar Ratio Rank
ETFs that neat s&p 500 Martin Ratio Rank: 44
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

-0.42

0.88

-1.30

Sortino ratio

Return per unit of downside risk

-0.36

1.37

-1.72

Omega ratio

Gain probability vs. loss probability

0.96

1.21

-0.25

Calmar ratio

Return relative to maximum drawdown

-0.35

1.39

-1.74

Martin ratio

Return relative to average drawdown

-0.74

6.43

-7.17


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
SPY
State Street SPDR S&P 500 ETF
520.921.451.221.517.11
SPMO
Invesco S&P 500 Momentum ETF
561.011.551.231.916.68
QQQ
Invesco QQQ ETF
581.041.621.231.937.00
UGL
ProShares Ultra Gold
731.601.981.292.408.01
SMH
VanEck Semiconductor ETF
942.282.891.415.3418.94
GBTC
Grayscale Bitcoin Trust (BTC)
20-0.54-0.530.94-0.45-0.95

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.

ETFs that neat s&p 500 Sharpe ratios as of Apr 4, 2026 (values are recalculated daily):

  • 1-Year: -0.42
  • 5-Year: 0.05
  • 10-Year: 0.62
  • All Time: 0.64

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 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 ETFs that neat s&p 500 compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


Loading graphics...

Dividends

Dividend yield

ETFs that neat s&p 500 provided a 0.46% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio0.46%0.43%0.45%0.71%0.88%0.44%0.67%0.90%0.98%1.74%0.97%0.92%
SPY
State Street SPDR S&P 500 ETF
1.13%1.07%1.21%1.40%1.65%1.20%1.52%1.75%2.04%1.80%2.03%2.06%
SPMO
Invesco S&P 500 Momentum ETF
0.88%0.73%0.48%1.63%1.66%0.52%1.27%1.39%1.05%0.77%1.94%0.36%
QQQ
Invesco QQQ ETF
0.48%0.45%0.56%0.62%0.80%0.43%0.55%0.74%0.91%0.84%1.06%0.99%
UGL
ProShares Ultra Gold
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SMH
VanEck Semiconductor ETF
0.28%0.31%0.44%0.60%1.18%0.51%0.69%1.50%1.88%1.43%0.80%2.14%
GBTC
Grayscale Bitcoin Trust (BTC)
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%5.61%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.


Loading graphics...

Worst Drawdowns

The table below displays the maximum drawdowns of the ETFs that neat s&p 500. 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 ETFs that neat s&p 500 was 85.74%, occurring on Dec 14, 2018. Recovery took 517 trading sessions.

The current ETFs that neat s&p 500 drawdown is 42.24%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-85.74%Dec 19, 2017249Dec 14, 2018517Jan 5, 2021766
-81.58%Feb 22, 2021468Dec 28, 2022293Feb 29, 2024761
-44.46%Oct 7, 202584Feb 5, 2026
-40.85%Sep 1, 20179Sep 14, 201736Nov 3, 201745
-32.19%Mar 14, 202499Aug 5, 202469Nov 11, 2024168

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


Loading graphics...

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.

BenchmarkUGLGBTCSPMOSMHQQQSPYPortfolio
Benchmark1.000.020.260.780.770.911.000.32
UGL0.021.000.100.060.020.020.020.11
GBTC0.260.101.000.240.250.270.260.98
SPMO0.780.060.241.000.670.760.780.29
SMH0.770.020.250.671.000.840.770.31
QQQ0.910.020.270.760.841.000.910.33
SPY1.000.020.260.780.770.911.000.32
Portfolio0.320.110.980.290.310.330.321.00
The correlation results are calculated based on daily price changes starting from Oct 13, 2015