Large cap w tech, finance, health, mags overlap

The chart shows the growth of an initial investment of $10,000 in Large cap w tech, finance, health, mags overlap, 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.

Based on dividend-adjusted daily data since Jan 12, 2024, Large cap w tech, finance, health, mags overlap's average daily return is +0.08%, while the average monthly return is +1.57%. At this rate, your investment would double in approximately 3.7 years.

Historically, 79% of months were positive and 21% were negative. The best month was Nov 2024 with a return of +11.3%, while the worst month was Apr 2024 at -5.8%. The longest winning streak lasted 9 consecutive months, and the longest losing streak was 2 months.

On a daily basis, Large cap w tech, finance, health, mags overlap closed higher 53% of trading days. The best single day was Apr 9, 2025 with a return of +10.2%, while the worst single day was Apr 4, 2025 at -5.4%.

Large cap w tech, finance, health, mags overlap has an annualized alpha of 2.35%, beta of 1.16, and R² of 0.87 versus S&P 500 Index. Calculated based on daily prices since January 12, 2024.

• This portfolio captured 122.71% of S&P 500 Index gains and 103.54% of its losses — amplifying both gains and losses, but participating more in upside than downside.
• This portfolio generated an annualized alpha of 2.35% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Large cap w tech, finance, health, mags overlap has an expense ratio of 0.24%, 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.

Large cap w tech, finance, health, mags overlap ranks 15 for risk / return — in the bottom 15% 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.

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.

Large cap w tech, finance, health, mags overlap Sharpe ratios as of Apr 4, 2026 (values are recalculated daily):

• 1-Year: 0.71
• All Time: 1.04

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 Large cap w tech, finance, health, mags overlap compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.

Large cap w tech, finance, health, mags overlap provided a 0.89% dividend yield over the last twelve months.

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.

The table below displays the maximum drawdowns of the Large cap w tech, finance, health, mags overlap. 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 Large cap w tech, finance, health, mags overlap was 20.35%, occurring on Apr 8, 2025. Recovery took 41 trading sessions.

The current Large cap w tech, finance, health, mags overlap drawdown is 10.70%.

The chart below shows the rolling one-month volatility.