Backtest Results (2023–2025)

Performance analysis of AInvestor model on S&P 500 stocks

Note: This analysis is provided for informational and educational purposes only. It reflects a data-driven assessment based on publicly available information and does not constitute personalized investment advice. Investors should conduct their own research and consider their individual circumstances before making investment decisions.

Executive Summary

Test Period: January 1, 2023 → December 15, 2025 (2.97 years)

Universe: S&P 500 stocks (486 analyzed)

BUY Recommendations: 21 stocks

Portfolio Average Return: +116.16%

Win Rate: 90.5% (19/21)

S&P 500 Return (2023-2025): +75.18%

Outperformance: 1.54x average return vs index

Methodology

The AInvestor model evaluates stocks using four complementary valuation methods:

1. Discounted Cash Flow (DCF)

Projects 5-year free cash flows discounted at WACC, with terminal value based on 3.5% growth assumption.

2. Peter Lynch Fair Value

Formula: EPS × Growth Rate (%) - represents the fair value based on earnings and expected growth.

3. Trading Multiples Valuation (TMV)

Calculates industry average P/E from peer companies using IQR outlier detection, then multiplies by company EPS.

4. Earnings Power Value (EPV)

Formula: (1 - Tax Rate) × EPS / WACC - conservative valuation assuming no growth.

Final fair value uses weighted average: 25% DCF, 25% Peter Lynch, 25% TMV, 25% EPV

Composite scoring incorporates:

  • Financial Health (55 points): P/E, market cap, ROE, D/E, dividend, beta, FCF, growth, margins, liquidity
  • Competitive Moat (25 points): ROIC-WACC spread, gross margin, growth, IP, qualitative factors
  • Macro Risk (10 points): Geopolitical and economic exposure
  • Risk-Adjusted Returns (10 points): Sharpe ratio analysis

Key Findings

✓ Exceptional Stock Selection

21 BUY recommendations identified in early 2023 delivered 116.16% average return, significantly outperforming the S&P 500 index by 1.54x despite market recovery and AI boom capturing most gains.

✓ Excellent Win Rate

90.5% of BUY stocks gained value (19 out of 21), demonstrating consistent ability to identify winning opportunities even in a strong bull market 2023-2025.

✓ Semiconductor & AI Chip Dominance

Top performers AVGO (+543.73%), META (+435.34%), and SMCI (+293.79%) captured the AI semiconductor boom perfectly during the period when AI stocks dominated market returns.

⚠ Concentrated Portfolio

Only 21 BUY recommendations (smallest of the three backtests) suggests very strict filtering criteria. Higher conviction picks, but smallest portfolio size for diversification.

ℹ 2023-2025 Market Context

This period saw the strongest bull market driven by AI enthusiasm and Fed policy pivot. S&P 500 returned +75% from Jan 2023 to Dec 2025—the model's +116% average shows excellent stock picking in a rising tide.

Top 10 Performers (2023–2025)

Symbol2023 Price2025 PriceReturn
AVGO$55.91$359.93+543.73%
META$120.34$644.23+435.34%
SMCI$8.21$32.33+293.79%
APO$63.79$148.05+132.09%
USFD$34.02$76.60+125.16%
IBM$140.89$309.24+119.49%
WAB$99.81$214.41+114.82%
CBOE$125.47$253.02+101.66%
MAR$148.89$298.72+100.63%
FFIV$143.51$262.67+83.03%

Portfolio Statistics

Portfolio Size

21 stocks

Average Return

+116.16%

Win Rate

90.5% (19/21)

Std Deviation

138.27%

Sharpe Ratio

13.34

Test Period

2.97 years

Comparison to S&P 500

S&P 500 Return (3895 → 6827)+75.18%
AInvestor Portfolio Average Return+116.16%
Outperformance+40.98%
Relative Performance1.54x

Conclusions

The AInvestor model demonstrates exceptional stock selection capability when evaluated against a 2.97-year historical backtest (2023–2025) on S&P 500 constituents.

Key Takeaways:

  • 21 BUY stocks identified in early 2023 delivered 116.16% average returns—a 1.54x multiple of the S&P 500's 75.18% return during the AI-driven bull market.
  • 90.5% win rate (19/21) demonstrates excellent stock picking in a strong up market where almost all stocks benefit from rising tides.
  • Semiconductor and AI exposure dominance—AVGO, META, SMCI were perfectly positioned for the AI boom. Only 2 losers out of 21 stocks.
  • Sharpe ratio of 13.34 reflects strong risk-adjusted returns—the model balanced growth and stability well even in volatile tech sectors.
  • Most concentrated portfolio (21 stocks) among backtests, suggesting strict fundamental filtering and high conviction picks.

Comparative Summary: Across three backtests—2020 (253.51% avg, 33 stocks), 2021 (149.02% avg, 70 stocks), 2022 (104.47% avg, 42 stocks), 2023 (116.16% avg, 21 stocks)—the model demonstrates consistent outperformance. The 2023 entry point, despite the bull market, shows strong stock picking with focused conviction portfolio. Average returns across all backtests exceed index returns by 1.5x+, with win rates consistently above 90%.

Backtest Analyses

Related Valuation Methods