Optimization Strategybaseline
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Baseline

Track disclosed holdings with the standard reporting lag and no active reweighting.

AI Summary

Large-cap growth portfolio with strong absolute and risk-adjusted returns, led by concentrated mega-cap technology exposure.

Annualized Return
24.67%
Annualized return
Alpha
4.97%
Active return
Sharpe
1.13
Risk-adjusted return
Beta
1.11
Market sensitivity
Max Drawdown
-21.61%
Maximum drawdown
Top 5
52.46%
Top-5 concentration
Top 10
74.89%
Top-10 concentration
Top 20
99.99%
Top-20 concentration

Portfolio Snapshot

Current optimized weights for the selected default session.

SymbolNameSectorWeightDiff
NVDANVIDIA CorporationInformation Technology15.61%0
AAPLApple Inc.Information Technology13.84%0
MSFTMicrosoft CorporationInformation Technology12.38%0
GOOGLAlphabet Inc.Communication Services6.02%0
BRK.ABerkshire Hathaway Inc.Financials4.61%0
METAMeta Platforms, Inc.Communication Services4.57%0
JPMJPMorgan Chase & Co.Financials4.51%0
TSLATesla, Inc.Consumer Discretionary4.48%0
AMZNAmazon.com, Inc.Consumer Discretionary4.48%0
LLYEli Lilly and CompanyHealth Care4.39%0
AVGOBroadcom Inc.Information Technology3.77%0
VVisa Inc.Financials3.05%0
XOMExxon Mobil CorporationEnergy2.61%0
JNJJohnson & JohnsonHealth Care2.57%0
WMTWalmart Inc.Consumer Staples2.51%0
MAMastercard IncorporatedFinancials2.41%0
PLTRPalantir Technologies Inc.Information Technology2.09%0
ABBVAbbVie Inc.Health Care2.08%0
NFLXNetflix, Inc.Communication Services2.04%0
COSTCostco Wholesale CorporationConsumer Staples1.97%0

Sector Exposure

  • Information Technology47.69%
  • Financials14.58%
  • Communication Services12.63%
  • Health Care9.04%
  • Consumer Discretionary8.96%
  • Consumer Staples4.48%
  • Energy2.61%

Weight Changes

Notable position adjustments in the latest snapshot.

No weight changes vs original.

Performance vs Benchmark

Strategy NAV vs benchmark — hover for exact values.

BaselineBenchmark

Alpha Trend

Excess return vs benchmark over time.

Alpha (positive)Alpha (negative)

Drawdown Trend

Underwater curve and peak drawdown marker.

Max DD: -21.61%(Apr 25)

Turnover Trend

Per-period turnover with average reference.

Avg turnover: 11.17Peak: 100.00

Strategy Comparison

All four default strategies side-by-side.

StrategyAnnualizedAlphaSharpeMax DD
Baseline24.67%4.97%1.13-21.61%
Momentum Screen11.49%-1.99%0.58-26.44%
Basic Value Screen4.10%-4.63%0.33-12.97%
Combo Equal Screen34.72%12.69%1.39-22.83%

Recent Periods

Per-period performance vs benchmark.

PeriodStrategyBenchmarkExcessTurnoverTrades
2025-01-31-3.72%-2.79%-0.941.6420
2025-02-28-7.99%-6.48%-1.512.3320
2025-03-310.77%-0.91%+1.6812.4021
2025-04-307.87%6.28%+1.581.0120
2025-05-314.54%3.75%+0.791.2620
2025-06-303.46%2.69%+0.786.3621
2025-07-311.87%2.05%-0.181.4920
2025-08-315.45%3.66%+1.791.9120
2025-09-303.24%2.05%+1.1910.8121
2025-10-31-0.16%0.20%-0.351.5720
2025-11-300.39%0.99%-0.601.6620
2025-12-310.00%0.00%09.1221

Strategy Q&A

Pre-generated questions and answers about this strategy.

  • baseline13FChat AI

    What does directly following the disclosed baseline portfolio expose an investor to?

    Directly following the baseline means accepting a highly concentrated mega-cap growth portfolio. The top 5 names are 52.46% and the top 10 are 74.89%, led by NVDA at 15.61%, AAPL at 13.84%, and MSFT at 12.38%. Sector-wise, the baseline is 47.69% Information Technology and 12.63% Communication Services, so an investor is effectively making a strong bet on AI, software, and platform leadership. The payoff has been strong with 24.67% annualized return and 4.97 alpha, but that came with beta of 1.11 and a -21.61% max drawdown.

    strategyViews.baseline.topHoldingsstrategyViews.baseline.concentrationstrategyViews.baseline.sectorWeightsstrategyViews.baseline.metrics

    Show how much of the baseline return came from the top 5 names versus the rest of the portfolio.

  • baseline13FChat AI

    Which recent baseline periods best explain the risk-return trade-off?

    The baseline trade-off is best illustrated by the spring drawdown and the rebound that followed. In 2025-02-28 the baseline lost 7.99% versus -6.48% for SPY, then the drawdown deepened into early April, with the drawdown series bottoming near -21.61% on 2025-04-08. But the same concentrated exposure helped in the recovery: 2025-03-31 delivered +1.68% excess return, 2025-04-30 added +1.58%, and 2025-08-31 added +1.79%. That pattern shows the baseline can underperform during sharp de-risking but recover strongly when leadership names reassert themselves.

    strategyViews.baseline.periodPerformancestrategyViews.baseline.drawdownSeries

    Plot the baseline drawdown and excess return by month so I can see when the concentration helped or hurt most.

  • baseline13FChat AI

    What should a user inspect next before deciding whether the baseline is acceptable?

    A user should inspect three things next: concentration, turnover stability, and path dependence. Concentration is obvious from top 5 at 52.46% and top 10 at 74.89%. Turnover is usually low but not always stable: it spiked to 12.40% in 2025-03-31, 10.81% in 2025-09-30, and the initial 2024-10-31 setup was 100.0%, which matters for implementation realism. Finally, the backtest only spans 15 periods, so the 24.67% annualized return and 1.13 Sharpe should be weighed against limited history.

    strategyViews.baseline.concentrationstrategyViews.baseline.turnoverSeriesstrategyViews.baseline.metricsstrategyViews.baseline.riskNotes

    Show me the baseline results excluding the most concentrated periods or highest-turnover months.

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