Optimization Strategycombo-equal-screen
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Combo Equal Screen

Filter for large-cap, quality, and low-leverage holdings, rank by composite quality/value/size score, keep the top 20 names, and equal-weight the selected names.

AI Summary

Concentrated large-cap growth mix with positive alpha, but weaker risk-adjusted results and deeper drawdowns than the original screen.

Annualized Return
17.00%
Annualized return
Alpha
3.56%
Active return
Sharpe
0.70
Risk-adjusted return
Beta
1.06
Market sensitivity
Max Drawdown
-34.61%
Maximum drawdown
Top 5
99.99%
Top-5 concentration
Top 10
99.99%
Top-10 concentration
Top 20
99.99%
Top-20 concentration

Portfolio Snapshot

Current optimized weights for the selected default session.

SymbolNameSectorWeightDiff
NVDANVIDIA CorporationInformation Technology33.33%+25.44
GOOGLAlphabet Inc.Communication Services33.33%+29.93
MSFTMicrosoft CorporationInformation Technology33.33%+30.90

Sector Exposure

  • Information Technology66.66%
  • Communication Services33.33%

Weight Changes

Notable position adjustments in the latest snapshot.

  • NVDANVIDIA Corporation33.33% (+25.44)
  • GOOGLAlphabet Inc.33.33% (+29.93)
  • MSFTMicrosoft Corporation33.33% (+30.90)

Performance vs Benchmark

Strategy NAV vs benchmark — hover for exact values.

Combo Equal ScreenBenchmark

Alpha Trend

Excess return vs benchmark over time.

Alpha (positive)Alpha (negative)

Drawdown Trend

Underwater curve and peak drawdown marker.

Max DD: -34.61%(Sep 22)

Turnover Trend

Per-period turnover with average reference.

Avg turnover: 40.85Peak: 133.50

Strategy Comparison

All four default strategies side-by-side.

StrategyAnnualizedAlphaSharpeMax DD
Baseline25.74%10.02%1.06-27.69%
Momentum Screen-2.19%-13.50%0.06-42.34%
Basic Value Screen11.08%-0.41%0.48-48.85%
Combo Equal Screen17.00%3.56%0.70-34.61%

vs Baseline: Annualized -8.74 · Alpha -6.46 · Sharpe -0.36

Recent Periods

Per-period performance vs benchmark.

PeriodStrategyBenchmarkExcessTurnoverTrades
2022-12-31-1.44%-0.25%-1.190.822
2023-03-31-5.52%7.90%-13.4224.032
2023-06-30-0.79%-1.77%+0.98100.043
2023-09-309.57%10.11%-0.542.622
2023-12-319.84%4.96%+4.881.052
2024-03-31-4.85%2.31%-7.1694.212
2024-06-3011.54%9.83%+1.710.151
2024-09-304.50%2.76%+1.74100.002
2024-12-31-10.74%-3.63%-7.1199.402
2025-03-3124.30%9.22%+15.08133.503
2025-06-3012.11%4.20%+7.915.393
2025-09-301.99%1.49%+0.5114.533

Strategy Q&A

Pre-generated questions and answers about this strategy.

  • combo13FChat AI

    How did the combo equal-weight screen change portfolio structure versus the baseline?

    The combo equal-weight screen radically changed structure by replacing the baseline's top-heavy Apple/Berkshire portfolio with three equal-weight growth franchises: NVDA, GOOGL, and MSFT at 33.33% each. Baseline top holdings were AAPL 51.42%, BRK.A 21.09%, and NVDA 7.89%, while combo shifted sector exposure to 66.66% Information Technology and 33.33% Communication Services. Equal weighting removed Apple and Berkshire dominance, but it did not diversify the portfolio in practice because the top 3 still represented essentially 100% of total weight.

    strategyViews.combo-equal-screen.topHoldingsstrategyViews.combo-equal-screen.sectorWeightsstrategyViews.baseline.topHoldingsstrategyViews.baseline.concentrationstrategyViews.combo-equal-screen.concentration

    Show the exact active weight changes from baseline to combo equal-weight for AAPL, BRK.A, NVDA, GOOGL, and MSFT.

  • combo13FChat AI

    Was the combo screen's result driven more by stock selection or by weight redistribution?

    It was driven by both, but weight redistribution is the cleaner explanation in the latest snapshot. The combo screen selected NVDA, GOOGL, and MSFT, then assigned each 33.33%, compared with baseline weights of 7.89%, 3.4%, and 2.43%. That means active weight gains of +25.44 points for NVDA, +29.93 for GOOGL, and +30.9 for MSFT. The structure explicitly removed AAPL's 51.42% and BRK.A's 21.09% baseline dominance, so the result depends not just on choosing different names but on massively reassigning capital toward previously smaller positions.

    strategyViews.combo-equal-screen.topHoldingsstrategyViews.combo-equal-screen.latestChangesstrategyViews.baseline.topHoldings

    Can you separate combo-screen performance into a stock-selection effect versus an equal-weight reallocation effect?

  • combo13FChat AI

    What trade-off should a user understand before choosing the combo equal-weight screen?

    The combo screen improved diversification away from AAPL and generated positive alpha, but not enough to match the baseline's superior return quality. Combo posted 17.0% annualized return, 3.56 alpha, 0.70 Sharpe, and -34.61% max drawdown, while baseline delivered 25.74%, 10.02 alpha, 1.06 Sharpe, and -27.69% drawdown. So the trade-off is giving up a large amount of historical excess return and some downside resilience in exchange for a portfolio that is less Apple-dominated but still highly concentrated in only three growth names.

    strategyViews.combo-equal-screen.metricsstrategyViews.baseline.metricsstrategyViews.combo-equal-screen.summarystrategyViews.combo-equal-screen.riskNotes

    Compare combo equal-weight and baseline on concentration, alpha, Sharpe, drawdown, and sector mix to see if the trade-off is worth it.

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