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Prueba 1
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Prueba 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 Jul 26, 2019, corresponding to the inception date of VIST

Returns By Period


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
-0.11%2.78%-0.42%4.03%27.10%18.38%10.55%12.70%
Portfolio
Prueba 1
-0.65%0.77%0.58%9.04%29.53%21.39%13.18%
MELI
MercadoLibre, Inc.
-1.07%6.23%-11.93%-16.86%-11.17%11.35%2.28%30.98%
SPY
State Street SPDR S&P 500 ETF
-0.07%2.87%-0.09%4.64%28.71%19.89%12.07%14.53%
BABA
Alibaba Group Holding Limited
-0.27%-5.83%-13.13%-19.92%20.19%10.36%-9.70%5.59%
TSLA
Tesla, Inc.
0.96%-10.80%-22.41%-15.61%38.30%23.16%9.11%35.67%
AMZN
Amazon.com, Inc
2.02%14.79%3.28%10.17%28.94%33.62%7.17%22.97%
FXI
iShares China Large-Cap ETF
-0.11%0.03%-5.33%-4.40%12.81%10.14%-2.69%3.20%
GOOGL
Alphabet Inc Class A
-0.39%4.95%1.43%34.28%102.58%44.80%23.02%23.67%
KO
The Coca-Cola Company
-0.91%0.17%11.58%17.17%11.60%10.62%11.08%8.55%
MSFT
Microsoft Corporation
-0.59%-6.24%-23.14%-27.12%-3.79%10.31%8.60%22.66%
V
Visa Inc.
-1.27%-0.91%-13.04%-11.07%-8.03%10.87%7.25%15.32%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Jul 29, 2019, Prueba 1's average daily return is +0.06%, while the average monthly return is +1.25%. At this rate, an investment would double in approximately 4.6 years.

Historically, 66% of months were positive and 34% were negative. The best month was Nov 2022 with a return of +10.5%, while the worst month was Mar 2020 at -12.7%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 3 months.

On a daily basis, Prueba 1 closed higher 55% of trading days. The best single day was Apr 6, 2020 with a return of +7.1%, while the worst single day was Mar 16, 2020 at -9.8%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20264.67%-1.00%-6.27%3.56%0.58%
20254.79%4.80%-2.09%1.18%4.24%1.79%1.25%4.10%5.37%4.58%4.57%-2.70%36.42%
20240.45%1.35%3.22%1.68%4.32%2.10%0.70%4.43%4.24%-4.01%-0.78%1.34%20.41%
20236.21%-5.87%9.30%1.58%0.00%1.34%6.14%-2.01%-4.97%-0.62%5.66%1.58%18.62%
2022-0.76%-1.63%0.96%-5.26%-1.53%-0.85%2.57%-3.88%-10.22%0.88%10.48%-3.71%-13.41%
2021-2.95%3.01%2.84%5.89%-0.16%2.31%3.59%1.51%-6.66%7.99%-6.48%6.24%17.12%

Benchmark Metrics

Prueba 1 has an annualized alpha of 4.24%, beta of 0.83, and R² of 0.76 versus S&P 500 Index. Calculated based on daily prices since July 29, 2019.

  • This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (86.34%) than losses (75.40%) — typical of diversified or defensive assets.
  • This portfolio generated an annualized alpha of 4.24% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
4.24%
Beta
0.83
0.76
Upside Capture
86.34%
Downside Capture
75.40%

Expense Ratio

Prueba 1 has an expense ratio of 0.06%, 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

Prueba 1 ranks 59 for risk / return — on par with similar portfolios. You're getting a typical balance of risk and reward. Not a standout, but not a red flag either — a reasonable choice if other factors align with your goals.


Prueba 1 Risk / Return Rank: 5959
Overall Rank
Prueba 1 Sharpe Ratio Rank: 6767
Sharpe Ratio Rank
Prueba 1 Sortino Ratio Rank: 7777
Sortino Ratio Rank
Prueba 1 Omega Ratio Rank: 6262
Omega Ratio Rank
Prueba 1 Calmar Ratio Rank: 4343
Calmar Ratio Rank
Prueba 1 Martin Ratio Rank: 4444
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

2.71

2.23

+0.48

Sortino ratio

Return per unit of downside risk

4.04

3.12

+0.93

Omega ratio

Gain probability vs. loss probability

1.49

1.42

+0.07

Calmar ratio

Return relative to maximum drawdown

3.81

4.05

-0.24

Martin ratio

Return relative to average drawdown

15.39

17.91

-2.52


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
MELI
MercadoLibre, Inc.
25-0.22-0.060.99-0.07-0.16
SPY
State Street SPDR S&P 500 ETF
662.353.261.444.3218.78
BABA
Alibaba Group Holding Limited
470.561.181.130.821.91
TSLA
Tesla, Inc.
570.801.341.161.914.84
AMZN
Amazon.com, Inc
601.011.591.201.834.36
FXI
iShares China Large-Cap ETF
190.871.381.161.644.48
GOOGL
Alphabet Inc Class A
943.824.731.595.8922.02
KO
The Coca-Cola Company
550.811.331.151.683.41
MSFT
Microsoft Corporation
29-0.080.051.010.160.40
V
Visa Inc.
24-0.27-0.220.97-0.03-0.06

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.

Prueba 1 Sharpe ratios as of Apr 11, 2026 (values are recalculated daily):

  • 1-Year: 2.71
  • 5-Year: 0.82
  • All Time: 0.78

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 3.05, 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 Prueba 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

Prueba 1 provided a 1.64% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio1.64%1.69%1.77%1.78%1.54%1.43%1.57%1.61%1.84%1.80%1.96%1.84%
MELI
MercadoLibre, Inc.
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.19%0.38%0.36%
SPY
State Street SPDR S&P 500 ETF
1.09%1.07%1.21%1.40%1.65%1.20%1.52%1.75%2.04%1.80%2.03%2.06%
BABA
Alibaba Group Holding Limited
1.57%1.36%1.96%1.29%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
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%
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%
FXI
iShares China Large-Cap ETF
2.55%2.42%1.76%3.17%2.61%1.60%2.19%2.74%2.69%2.31%2.69%2.90%
GOOGL
Alphabet Inc Class A
0.26%0.27%0.32%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
KO
The Coca-Cola Company
2.66%2.92%3.12%3.12%2.77%2.84%2.99%2.89%3.29%3.23%3.38%3.07%
MSFT
Microsoft Corporation
0.94%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
V
Visa Inc.
0.83%0.70%0.68%0.72%0.76%0.62%0.56%0.56%0.67%0.61%0.75%0.64%

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 Prueba 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 Prueba 1 was 31.92%, occurring on Mar 23, 2020. Recovery took 109 trading sessions.

The current Prueba 1 drawdown is 4.58%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-31.92%Feb 20, 202023Mar 23, 2020109Aug 26, 2020132
-23.32%Nov 15, 2021245Nov 3, 2022180Jul 26, 2023425
-12.07%Feb 24, 202532Apr 8, 202527May 16, 202559
-10.15%Jan 29, 202641Mar 27, 2026
-9.91%Sep 3, 202014Sep 23, 202032Nov 6, 202046

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 14 assets, with an effective number of assets of 3.99, reflecting the diversification based on asset allocation. This number of effective assets suggests a highly concentrated portfolio, where a few assets dominate the allocation, potentially increasing the portfolio's risk due to lack of diversification.

Asset Correlations Table

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

BenchmarkKOVISTIRSYPFGGALTSLABABAFXIMELIVAMZNMSFTGOOGLSPYPortfolio
Benchmark1.000.380.280.290.330.350.530.390.460.540.650.670.750.701.000.79
KO0.381.000.080.100.100.130.070.100.160.130.410.120.220.210.380.59
VIST0.280.081.000.380.600.480.170.160.210.190.150.150.160.180.280.20
IRS0.290.100.381.000.470.510.200.180.200.230.180.180.170.170.290.22
YPF0.330.100.600.471.000.710.200.170.210.220.190.180.180.210.330.23
GGAL0.350.130.480.510.711.000.220.190.210.250.210.240.210.240.350.26
TSLA0.530.070.170.200.200.221.000.310.310.390.290.440.420.420.520.41
BABA0.390.100.160.180.170.190.311.000.800.370.280.350.310.350.390.57
FXI0.460.160.210.200.210.210.310.801.000.370.340.340.330.380.460.60
MELI0.540.130.190.230.220.250.390.370.371.000.390.510.480.450.540.54
V0.650.410.150.180.190.210.290.280.340.391.000.400.510.460.650.63
AMZN0.670.120.150.180.180.240.440.350.340.510.401.000.670.650.670.59
MSFT0.750.220.160.170.180.210.420.310.330.480.510.671.000.670.740.69
GOOGL0.700.210.180.170.210.240.420.350.380.450.460.650.671.000.700.78
SPY1.000.380.280.290.330.350.520.390.460.540.650.670.740.701.000.79
Portfolio0.790.590.200.220.230.260.410.570.600.540.630.590.690.780.791.00
The correlation results are calculated based on daily price changes starting from Jul 29, 2019