Strategia di ottimizzazionecombo-equal-screen
Esegui questa strategia nell'area di lavoro
Quant Analysis ResultCombo Equal ScreenRun Ready

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

High-conviction equal-weight large-cap mix improved returns and alpha, but with meaningfully higher drawdown and market sensitivity.

Annualized Return
17.36%
Annualized return
Alpha
2.71%
Active return
Sharpe
0.72
Risk-adjusted return
Beta
1.30
Market sensitivity
Max Drawdown
-35.87%
Maximum drawdown
Top 5
100.00%
Top-5 concentration
Top 10
100.00%
Top-10 concentration
Top 20
100.00%
Top-20 concentration

Portfolio Snapshot

Current optimized weights for the selected default session.

SymbolNameSectorWeightDiff
GOOGLAlphabet Inc.Communication Services20.00%+12.65
AMZNAmazon.com, Inc.Consumer Discretionary20.00%+14.76
JPMJPMorgan Chase & Co.Financials20.00%+19.62
METAMeta Platforms, Inc.Communication Services20.00%+16.19
NVDANVIDIA CorporationInformation Technology20.00%+15.19

Sector Exposure

  • Communication Services40.00%
  • Consumer Discretionary20.00%
  • Financials20.00%
  • Information Technology20.00%

Weight Changes

Notable position adjustments in the latest snapshot.

  • GOOGLAlphabet Inc.20.00% (+12.65)
  • AMZNAmazon.com, Inc.20.00% (+14.76)
  • JPMJPMorgan Chase & Co.20.00% (+19.62)
  • METAMeta Platforms, Inc.20.00% (+16.19)
  • NVDANVIDIA Corporation20.00% (+15.19)

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: -35.87%(Sep 22)

Turnover Trend

Per-period turnover with average reference.

Avg turnover: 36.21Peak: 100.00

Strategy Comparison

All four default strategies side-by-side.

StrategyAnnualizedAlphaSharpeMax DD
Baseline11.22%0.87%0.68-23.04%
Momentum Screen4.64%-6.45%0.30-38.69%
Basic Value Screen14.22%1.98%0.62-36.97%
Combo Equal Screen17.36%2.71%0.72-35.87%

vs Baseline: Annualized +6.13 · Alpha +1.83 · Sharpe +0.05

Recent Periods

Per-period performance vs benchmark.

PeriodStrategyBenchmarkExcessTurnoverTrades
2022-12-318.69%-0.25%+8.9421.095
2023-03-3113.17%7.90%+5.2713.255
2023-06-300.36%-1.77%+2.1233.356
2023-09-3013.13%10.11%+3.024.876
2023-12-3112.09%4.96%+7.1310.186
2024-03-315.03%2.31%+2.7238.107
2024-06-3011.76%9.83%+1.9331.106
2024-09-302.23%2.76%-0.536.465
2024-12-31-6.36%-3.63%-2.7443.816
2025-03-3119.24%9.22%+10.0357.217
2025-06-302.18%4.20%-2.0251.038
2025-09-300.46%1.49%-1.0213.516

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 screen radically simplified the portfolio into five equal 20% positions, replacing the baseline’s diversified-but-concentrated 20-name structure. The selected names are GOOGL, AMZN, JPM, META, and NVDA, so top 5 concentration rises to 100% from the baseline’s 28.92%. Sector exposure also shifts toward platform and mega-cap growth: Communication Services becomes 40%, Consumer Discretionary 20%, Financials 20%, and Information Technology 20%. That is a major structural change from the baseline’s 25.28% Health Care, 22.63% Consumer Discretionary, and 14.91% Communication Services mix.

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

    Show exactly how the combo screen restructured weights and sectors versus the baseline.

  • combo13FChat AI

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

    Mostly by stock selection, amplified by weight redistribution. The combo screen chose five names—GOOGL, AMZN, JPM, META, and NVDA—and equal-weighted each at 20%, creating large active bets versus the baseline: +19.62 for JPM, +16.19 for META, +15.19 for NVDA, +14.76 for AMZN, and +12.65 for GOOGL. Because the screen concentrated entirely in names that were either mega-cap compounders or dominant franchises, the selection effect was the main engine. The equal-weighting then magnified that selection by pushing all five to the same 20% allocation instead of leaving them closer to their disclosed baseline weights.

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

    Separate the combo screen’s stock-selection effect from its equal-weight reallocation effect.

  • combo13FChat AI

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

    The trade-off is simple: much higher return potential in exchange for much higher concentration and drawdown risk. The combo screen improved annualized return to 17.36%, total return to 85.5%, alpha to 2.71, and Sharpe to 0.72, all better than the baseline. But beta jumped to 1.30 and max drawdown worsened to -35.87% versus the baseline’s -23.04%. Since the top five holdings are 100% of assets, there is effectively no diversification cushion—results will live or die with five stocks and a 40% Communication Services weight.

    strategyViews.combo-equal-screen.metricsstrategyViews.combo-equal-screen.metricDeltastrategyViews.combo-equal-screen.concentrationstrategyViews.combo-equal-screen.sectorWeightsstrategyViews.baseline.metrics

    Help me decide whether the combo screen’s higher return is worth a 100% top-5 concentration and much deeper drawdown.

Altre strategie per questo fondo

Questo contenuto è solo a scopo informativo e di ricerca e non costituisce una consulenza di investimento.