My Portfolio vs S&P 500: Extended Performance Analysis

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Iโ€™ve been tracking my personal stock portfolio performance against the S&P 500 benchmark from August through September 2025. With my portfolio heavily allocated to technology stocks, market conditions have been volatile with some interesting recovery patterns. Hereโ€™s an extended analysis of how my investment strategy performed relative to the broader market over this two-month period.

Performance Tracking Data

DateMy Portfolio DailyS&P 500 DailyPerformance vs S&P 500
8/15/2025-0.48%-0.19%-0.29% (Underperformed)
8/18/2025+0.19%+0.00%+0.19% (Outperformed)
8/19/2025-2.11%-0.60%-1.51% (Underperformed)
8/20/2025-0.26%-0.28%+0.02% (Outperformed)
8/21/2025-0.42%-0.37%-0.05% (Underperformed)
8/22/2025+1.36%+1.54%-0.18% (Underperformed)
8/24/2025+0.02%-0.42%+0.44% (Outperformed)
8/25/2025+0.52%+0.40%+0.12% (Outperformed)
8/27/2025+0.20%+0.23%-0.03% (Underperformed)
8/28/2025+0.15%+0.36%-0.21% (Underperformed)
8/29/2025-1.84%-0.58%-1.26% (Underperformed)
9/2/2025-0.70%-0.50%-0.20% (Underperformed)
9/3/2025+0.37%+0.47%-0.10% (Underperformed)
9/4/2025+0.84%+0.91%-0.07% (Underperformed)
9/5/2025-1.16%-0.27%-0.89% (Underperformed)
9/6/2025+0.47%+0.26%+0.21% (Outperformed)
9/9/2025+0.71%+0.24%+0.47% (Outperformed)
9/10/2025+1.17%+0.28%+0.89% (Outperformed)
9/11/2025-0.30%+0.80%-1.10% (Underperformed)
9/12/2025+0.27%-0.02%+0.29% (Outperformed)
9/15/2025+0.49%+0.52%-0.03% (Underperformed)
9/16/2025-0.59%-0.13%-0.46% (Underperformed)
9/18/2025+1.05%+0.47%+0.58% (Outperformed)
9/24/2025-1.21%-0.52%-0.69% (Underperformed)
9/30/2025+0.83%+0.37%+0.46% (Outperformed)

Interactive Performance Chart

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Key Performance Metrics

Overall Performance (August 15 - September 30, 2025)

  • My Portfolio: -1.84% total return
  • S&P 500: +1.61% total return
  • Excess Return: -3.45% underperformance

Monthly Breakdown

  • August 2025: -3.09% (My Portfolio) vs -0.09% (S&P 500) = -3.00% underperformance
  • September 2025: +1.25% (My Portfolio) vs +1.70% (S&P 500) = -0.45% underperformance

Risk-Adjusted Performance

  • My Portfolio Volatility: 0.95% daily average
  • S&P 500 Volatility: 0.51% daily average
  • Sharpe Ratio (My Portfolio): -1.94
  • Sharpe Ratio (S&P 500): +3.16

Portfolio Composition Analysis

Current Allocation

Based on my actual portfolio holdings, hereโ€™s the detailed breakdown:

HoldingAllocationCategoryPerformance Driver
NVDA27.72%Technology (AI/GPU)AI chip demand, gaming
NFLX16.28%Technology (Streaming)Subscriber growth, content
MSFT12.31%Technology (Software)Cloud services, AI integration
FTEC11.02%Technology ETFBroad tech sector exposure
QQQM10.26%Technology ETF (Nasdaq)Growth tech companies
FDVV8.91%Dividend ETFValue/dividend stocks
VOO7.19%S&P 500 ETFBroad market exposure
META1.66%Technology (Social Media)Digital advertising, AI
IBIT4.59%Bitcoin ETFCryptocurrency exposure

Key Portfolio Characteristics

  • Technology Concentration: ~83% in tech-related holdings
  • Single Stock Risk: NVDA at 27.72% represents significant concentration risk
  • ETF Diversification: 37% in ETFs provides some sector diversification
  • Growth vs Value: Heavy tilt toward growth stocks with only FDVV providing dividend exposure

Performance Analysis Over Extended Period

This allocation showed a notable recovery pattern over the two-month period:

August Performance (Struggled):

  • NVDAโ€™s AI bubble concerns (27.72% position amplified losses)
  • Tech sector rotation from growth to value stocks
  • Rising interest rates affecting high-multiple tech valuations
  • Regulatory concerns around big tech companies

September Performance (Improved):

  • Tech sector stabilization with some recovery in growth stocks
  • Better individual stock selection outperforming in several sessions
  • Reduced volatility compared to Augustโ€™s extreme swings
  • Strong performance days on 9/10 (+1.17% vs +0.28%) and 9/18 (+1.05% vs +0.47%)

The S&P 500โ€™s broad diversification provided consistent stability throughout both months.

Why Iโ€™m Underperforming the S&P 500

1. Tech Sector Concentration Risk

My portfolio is heavily concentrated in technology stocks (83% tech exposure), which have been under pressure due to:

  • NVDAโ€™s AI bubble concerns (27.72% position amplified losses)
  • Rising interest rates affecting growth stock valuations
  • Regulatory concerns around big tech
  • Rotation from growth to value stocks
  • Market concerns about AI bubble

2. High Volatility Exposure

The technology sector has experienced higher volatility than the broader market, leading to:

  • Larger daily swings in portfolio value
  • Increased drawdowns during market corrections
  • Higher correlation between holdings during tech selloffs

3. Market Timing Challenges

Recent market conditions have been unfavorable for growth stocks:

  • Value stocks outperforming growth stocks
  • Defensive sectors (utilities, consumer staples) showing strength
  • Technology sector facing headwinds from multiple factors

4. Concentration vs Diversification

While the S&P 500 benefits from broad diversification across sectors, my concentrated approach has:

  • Amplified losses during tech sector weakness
  • Reduced exposure to outperforming sectors (energy, utilities)
  • Increased correlation risk among holdings

๐ŸŽ“ Lessons Learned

โŒ Whatโ€™s Not Working

  • Over-concentration in tech: 83% tech allocation has amplified losses during sector weakness
  • NVDA concentration risk: 27.72% position in NVDA magnified AI bubble concerns
  • Timing the market: Attempting to catch tech rebounds has led to further losses
  • Ignoring diversification: Lack of exposure to outperforming sectors (energy, utilities, consumer staples)

โœ… What Iโ€™m Learning

  • Sector concentration risk: Even quality companies can underperform when their sector faces headwinds
  • Importance of diversification: The S&P 500โ€™s broad diversification provides stability during sector rotations
  • Patience during drawdowns: Tech stocks may take time to recover from valuation compression

๐Ÿ›ก๏ธ Risk Management Insights

  • Position sizing: Individual positions of 15-20% can create significant portfolio volatility
  • Correlation risk: High correlation between tech holdings amplifies losses during sector weakness
  • Stop-loss discipline: Need to maintain strict stop-losses to limit downside

๐Ÿš€ Forward-Looking Strategy

โฐ Short Term (Next 30 Days)

  • Reduce tech concentration: Gradually reduce technology allocation to improve diversification
  • Add defensive positions: Consider adding utilities (XLU) or consumer staples (XLP) ETFs
  • Monitor earnings: Be prepared to adjust positions based on Q3 earnings reports
  • Set stop-losses: Implement 7-10% stop-losses on all tech positions

๐Ÿ“… Medium Term (3-6 Months)

  • Rebalancing plan: Target more balanced allocation across sectors
  • Sector diversification: Add exposure to energy (XLE) and utilities (XLU) sectors
  • Value exposure: Consider adding value ETFs (VTV) to balance growth exposure
  • International diversification: Add developed market ETFs (EFA) for geographic diversification

๐Ÿ›ก๏ธ Risk Management

  • Position sizing limits: Reduce individual stock positions to maximum 10% of portfolio (currently NVDA at 27.72%)
  • Sector limits: Cap any single sector at 40% of portfolio (currently tech at 83%)
  • Regular rebalancing: Weekly monitoring, monthly rebalancing
  • Stop-loss strategy: 7% stop-loss on individual stocks, 15% on sector ETFs

๐Ÿ“ˆ Benchmark Comparison Insights

๐Ÿ“‰ When I Underperform

  • Tech sector weakness: Heavy tech allocation amplifies losses during sector selloffs
  • Growth to value rotation: Lack of value exposure hurts performance during style rotations
  • Rising interest rates: Growth stocks typically underperform when rates increase
  • Market volatility: Higher volatility in tech stocks leads to larger drawdowns

๐Ÿ“ˆ When I Outperform

  • Tech sector strength: Concentrated tech positions capture upside during sector rallies
  • Earnings beats: Individual stock selection can outperform during strong earnings seasons
  • Growth momentum: Tech stocks typically lead during growth-oriented market environments

๐Ÿ“Š Interactive Sector Performance Chart

This chart shows how the S&P 500โ€™s sector allocation compares to recent sector performance, highlighting why my tech-heavy portfolio struggled during this period.

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๐ŸŽฏ Conclusion

My portfolio has underperformed the S&P 500 over this extended two-month period, but showed notable improvement in September:

Overall Underperformance (-3.45%) primarily due to:

  1. Over-concentration in technology compared to the S&P 500โ€™s broad diversification
  2. Augustโ€™s severe tech sector headwinds that created deep underperformance
  3. Higher volatility from concentrated positions
  4. Lack of diversification into outperforming sectors

September Recovery Signs:

  • Reduced underperformance (-0.45% vs -3.00% in August)
  • Several strong outperformance days (9/6, 9/9, 9/10, 9/12, 9/18, 9/30)
  • Lower volatility compared to Augustโ€™s extreme swings

Key Lessons:

  • ๐Ÿ”„ Sector diversification remains critical for risk management
  • โš–๏ธ Balanced allocation between growth and value reduces drawdowns
  • ๐Ÿ›ก๏ธ Risk management through position sizing limits damage during sector weakness
  • โณ Patience during sector-specific drawdowns, but active monitoring is essential

The extended data shows that while tech concentration creates volatility, there are periods of strong outperformance. A more balanced approach with proper diversification would likely provide better risk-adjusted returns over the long term.

โš ๏ธ Important Disclaimer: Past performance does not guarantee future results. This analysis is for educational purposes only and should not be considered investment advice. Always do your own research and consider consulting with a financial advisor.


๐Ÿ’ฌ Interested in discussing portfolio strategies or market analysis? Feel free to email me your thoughts and experiences! ๐Ÿ“ˆ