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xxx$1a BALANCED APPROACH
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in xxx$1a BALANCED APPROACH, 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


Position1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.30%0.09%8.18%8.17%23.42%19.88%11.91%13.45%
Portfolio
xxx$1a BALANCED APPROACH
0.46%3.29%27.80%27.58%
AIQ
Global X Artificial Intelligence & Technology ETF
3.07%3.42%26.70%25.19%55.14%33.87%17.37%
EKBAX
Allspring Diversified Capital Builder Fund
-5.15%4.38%29.15%28.84%54.99%29.78%17.98%15.83%
FBALX
Fidelity Balanced Fund
-2.10%-0.35%7.96%8.36%21.65%15.93%8.87%11.48%
FSELX
Fidelity Select Semiconductors Portfolio
-9.27%5.76%66.12%60.36%135.04%63.14%43.03%37.56%
FXAIX
Fidelity 500 Index Fund
-2.63%-0.08%8.42%8.48%24.54%21.52%13.40%15.25%
QRPNX
AQR Alternative Risk Premia Fund Class N
-0.31%2.86%18.48%20.83%35.00%23.21%19.20%
TCAI
Tortoise AI Infrastructure ETF
1.87%6.30%74.50%65.04%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Aug 5, 2025, xxx$1a BALANCED APPROACH's average daily return is +0.17%, while the average monthly return is +3.43%. At this rate, an investment would double in approximately 1.7 years.

Historically, 73% of months were positive and 27% were negative. The best month was Apr 2026 with a return of +13.4%, while the worst month was Mar 2026 at -3.3%. The longest winning streak lasted 3 consecutive months, and the longest losing streak was 1 months.

On a daily basis, xxx$1a BALANCED APPROACH closed higher 65% of trading days. The best single day was Mar 31, 2026 with a return of +2.6%, while the worst single day was Jun 5, 2026 at -4.5%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20265.78%2.62%-3.26%13.40%9.00%-1.54%27.80%
20250.91%6.17%5.26%-0.86%0.20%12.03%

Benchmark Metrics

xxx$1a BALANCED APPROACH has an annualized alpha of 26.66%, beta of 1.04, and R2 of 0.74 versus S&P 500 Index. Calculated based on daily prices since August 05, 2025.

  • This portfolio captured 178.67% of S&P 500 Index gains but only 26.99% of its losses - a favorable profile for investors.
  • This portfolio generated an annualized alpha of 26.66% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • With beta of 1.04 and R2 of 0.74, 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
26.66%
Beta
1.04
0.74
Upside Capture
178.67%
Downside Capture
26.99%

Expense Ratio

xxx$1a BALANCED APPROACH has a high expense ratio of 2.12%, indicating above-average management fees. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


Return for Risk

Return / Risk — by metrics

The table below presents risk-adjusted performance metrics for xxx$1a BALANCED APPROACH and compares them with S&P 500 Index.


Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


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
AIQ
Global X Artificial Intelligence & Technology ETF
712.242.761.383.3611.43
EKBAX
Allspring Diversified Capital Builder Fund
933.273.981.587.7031.73
FBALX
Fidelity Balanced Fund
792.523.481.483.4616.47
FSELX
Fidelity Select Semiconductors Portfolio
934.004.091.579.4835.79
FXAIX
Fidelity 500 Index Fund
592.132.871.392.9213.57
QRPNX
AQR Alternative Risk Premia Fund Class N
973.815.561.6910.0128.84
TCAI
Tortoise AI Infrastructure ETF

Sharpe Ratio

There isn't enough data available to calculate the Sharpe ratio for xxx$1a BALANCED APPROACH. This metric is based on the past 12 months of trading data. Please check back later for updated information.


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Dividends

Dividend yield

xxx$1a BALANCED APPROACH provided a 4.20% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio4.20%5.01%3.88%4.03%5.46%5.52%3.15%3.78%6.73%4.57%3.51%5.93%
AIQ
Global X Artificial Intelligence & Technology ETF
0.15%0.18%0.14%0.16%0.56%0.15%0.50%0.51%0.51%0.00%0.00%0.00%
EKBAX
Allspring Diversified Capital Builder Fund
7.45%9.61%5.28%6.16%12.50%6.89%2.03%9.49%7.14%6.20%10.05%11.47%
FBALX
Fidelity Balanced Fund
5.25%5.69%5.67%2.28%8.06%9.66%5.90%4.24%10.99%7.90%3.07%7.70%
FSELX
Fidelity Select Semiconductors Portfolio
9.86%11.11%7.97%7.20%6.69%6.99%8.13%3.36%26.80%14.44%3.82%15.22%
FXAIX
Fidelity 500 Index Fund
1.06%1.11%1.25%1.45%1.69%1.22%1.60%2.06%2.72%1.97%2.52%2.83%
QRPNX
AQR Alternative Risk Premia Fund Class N
0.96%1.14%2.04%4.33%0.00%3.84%1.98%0.57%0.07%0.00%0.00%0.00%
TCAI
Tortoise AI Infrastructure ETF
0.03%0.05%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 xxx$1a BALANCED APPROACH. 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 xxx$1a BALANCED APPROACH was 6.33%, occurring on Mar 30, 2026. Recovery took 6 trading sessions.

The current xxx$1a BALANCED APPROACH drawdown is 2.28%.


Related event

Drawdown

Fall

Recovery

Underwater

2026 pullback2026
-6.33%Mar 2026
1mo 2d9d
1mo 11dFeb 2026 - Apr 2026
2025 pullback2025
-5.79%Nov 2025
16d1mo 13d
1mo 29dNov 2025 - Jan 2026
2026 pullback2026
-5.29%Jun 2026
1d
5d 12hJun 2026 - now
2026 pullback2026
-3.73%Feb 2026
6d6d
12dJan 2026 - Feb 2026
2025 pullback2025
-3.18%Oct 2025
1d14d
15dOct 2025 - Oct 2025

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 7 assets, with an effective number of assets of 4.65, reflecting the diversification based on asset allocation. Your allocation shows noticeable concentration: a few holdings carry significantly more weight than the rest. Rebalancing toward more even weights — or adding less correlated assets — could reduce risk.


Diversification Ratio
All Time
Diversification Ratio

1.17

The portfolio has a diversification ratio of 1.17, placing it in the bottom quartile across portfolios — positions are highly correlated. Consider adding assets from different classes or sectors to reduce risk.

xxx$1a BALANCED APPROACH correlation to the S&P 500 Index

xxx$1a BALANCED APPROACH has a 0.86 correlation to S&P 500 Index over the full available history. This section compares each holding's correlation to the benchmark and to the portfolio.

Correlation
Correlation (All Time)
Calculated using the full available price history since Aug 5, 2025

0.86


Benchmark Correlations

Correlation vs. S&P 500 Index. FXAIX has the highest benchmark correlation at 1.00, while QRPNX has the lowest at 0.27.

QRPNX
0.27
TCAI
0.68
FSELX
0.76
EKBAX
0.80
AIQ
0.86
FBALX
0.98
FXAIX
1.00

Portfolio Correlations

Correlation vs. xxx$1a BALANCED APPROACH. EKBAX has the highest portfolio correlation at 0.93, while QRPNX has the lowest at 0.45.

QRPNX
0.45
FXAIX
0.85
TCAI
0.86
FBALX
0.87
AIQ
0.89
FSELX
0.92
EKBAX
0.93

Asset Correlations Table

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

The correlation results are calculated based on daily price changes starting from Aug 5, 2025
Diversification Analysis

Find what xxx$1a BALANCED APPROACH is missing

See which holdings overlap, where xxx$1a BALANCED APPROACH is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification