30 high-conviction picks from the S&P 500. US large-cap, rules only.
The MindForge S&P 500 strategy selects the top 30 stocks from the 500 largest US-listed companies using a proprietary multi-factor scoring model tuned for efficient US large-cap markets. The portfolio is capped at 4 stocks per GICS sector, held equal-weight, and rebalances monthly. Universe is refreshed from the live S&P 500 constituent list each cycle.
The 5-year backtest delivered 27.3% CAGR vs a 13.30% S&P 500 Index benchmark — a +14.02% annual alpha. The Sharpe ratio of 0.99 reflects strong risk-adjusted returns. Maximum drawdown was -15.3% versus the benchmark — notably shallower than the broader S&P 500's 2022 -25% bear market.
500-stock universe
Current S&P 500 constituents fetched from the live Wikipedia table each cycle, with GICS sector tags.
Multi-factor scoring
A proprietary factor blend ranks every S&P 500 stock each month. Composition and weighting are MindForge IP, tuned for efficient US large-cap markets.
Equal-weight, sector-capped
Top 30 by composite score, max 4 per GICS sector, held equal-weight (3.33% each). Tech overweight is structural but capped.
USD pricing
Prices and allocations shown in USD. Use platforms like Vested, INDmoney, or IBKR to access these names from India.
Full performance analysis





Backtest period: May 2021 → May 2026 · Benchmark: S&P 500 Index · 27.3% CAGR vs 13.30% benchmark · Sharpe 0.99 · Max drawdown -15.3%. Simulated performance, not live trading. Past performance is not indicative of future returns. Currency risk applies for non-USD investors.