最適化戦略baseline
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Quant Analysis ResultBaselineRun Ready

Baseline

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

AI Summary

Large-growth, mega-cap tech-heavy baseline portfolio with strong absolute returns, near-market beta, and modest active edge versus SPY.

Annualized Return
19.10%
Annualized return
Alpha
0.15%
Active return
Sharpe
1.24
Risk-adjusted return
Beta
0.97
Market sensitivity
Max Drawdown
-18.86%
Maximum drawdown
Top 5
28.30%
Top-5 concentration
Top 10
38.83%
Top-10 concentration
Top 20
47.65%
Top-20 concentration

Portfolio Snapshot

Current optimized weights for the selected default session.

SymbolNameSectorWeightDiff
NVDANVIDIA CorporationInformation Technology8.01%0
AAPLApple Inc.Information Technology7.09%0
MSFTMicrosoft CorporationInformation Technology6.35%0
AMZNAmazon.com, Inc.Consumer Discretionary3.96%0
AVGOBroadcom Inc.Information Technology2.89%0
GOOGLAlphabet Inc.Communication Services2.58%0
METAMeta Platforms, Inc.Communication Services2.54%0
TSLATesla, Inc.Consumer Discretionary2.23%0
BRK.ABerkshire Hathaway Inc.Financials1.63%0
JPMJPMorgan Chase & Co.Financials1.55%0
LLYEli Lilly and CompanyHealth Care1.51%0
VVisa Inc.Financials1.04%0
XOMExxon Mobil CorporationEnergy0.90%0
JNJJohnson & JohnsonHealth Care0.88%0
WMTWalmart Inc.Consumer Staples0.87%0
MAMastercard IncorporatedFinancials0.83%0
ABBVAbbVie Inc.Health Care0.71%0
PLTRPalantir Technologies Inc.Information Technology0.71%0
NFLXNetflix, Inc.Communication Services0.70%0
COSTCostco Wholesale CorporationConsumer Staples0.67%0

Sector Exposure

  • Information Technology35.48%
  • Financials13.72%
  • Consumer Discretionary10.68%
  • Health Care9.84%
  • Industrials8.32%
  • Communication Services7.66%
  • Consumer Staples4.83%
  • Energy2.87%

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: -18.86%(Apr 25)

Turnover Trend

Per-period turnover with average reference.

Avg turnover: 2.52Peak: 3.18

Strategy Comparison

All four default strategies side-by-side.

StrategyAnnualizedAlphaSharpeMax DD
Baseline19.10%0.15%1.24-18.86%
Momentum Screen19.25%0.12%1.06-22.18%
Basic Value Screen3.57%-8.05%0.30-18.43%
Combo Equal Screen14.97%-5.21%0.83-22.99%

Recent Periods

Per-period performance vs benchmark.

PeriodStrategyBenchmarkExcessTurnoverTrades
2025-01-31-2.67%-2.79%+0.122.39500
2025-02-28-6.25%-6.48%+0.242.88500
2025-03-31-0.98%-0.91%-0.072.40504
2025-04-306.21%6.28%-0.072.04500
2025-05-313.98%3.75%+0.232.46500
2025-06-302.33%2.69%-0.362.05501
2025-07-311.70%2.05%-0.352.93501
2025-08-313.56%3.66%-0.102.74500
2025-09-301.69%2.05%-0.363.18503
2025-10-31-0.19%0.20%-0.392.85502
2025-11-301.28%0.99%+0.292.77501
2025-12-310.00%0.00%02.37503

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 exposes an investor to a top-heavy large-cap portfolio that behaves a lot like SPY but with somewhat more single-name concentration. The baseline top 5 are 28.30% and top 10 are 38.83%, led by NVDA 8.01%, AAPL 7.09%, MSFT 6.35%, AMZN 3.96%, and AVGO 2.89%. Sector weights are also dominated by Information Technology at 35.48%, followed by Financials 13.72% and Consumer Discretionary 10.68%. The backtest risk profile stays market-like with beta 0.97 and max drawdown -18.86%, so this is not a low-risk alternative to SPY; it is a slightly more concentrated version of broad U.S. large-cap exposure.

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

    Ask how much of baseline risk comes from its top 5 names versus its sector allocation.

  • baseline13FChat AI

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

    The 2025 period data shows the trade-off clearly: the baseline kept tracking error low, but excess returns were small and inconsistent. It outperformed modestly in 2025-01 (+0.12 excess), 2025-02 (+0.24), 2025-05 (+0.23), and 2025-11 (+0.29), but lagged in 2025-06 (-0.36), 2025-07 (-0.35), 2025-09 (-0.36), and 2025-10 (-0.39). The sharpest drawdown in the full series occurred in early April 2025 when drawdown reached -18.86% on 2025-04-08, while recoveryDays is 54. Those numbers show why the baseline produced strong long-run return but only a modest benchmark edge: it stayed close to market moves almost every month.

    strategyViews.baseline.periodPerformancestrategyViews.baseline.drawdownSeriesriskMetrics.recoveryDaysstrategyViews.baseline.metrics

    Ask for a table of the best and worst baseline months versus SPY with turnover included.

  • baseline13FChat AI

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

    A user should inspect concentration, implementation, and benchmark-relative consistency next. The baseline risk notes flag a negative information ratio, top 10 concentration of 38.83%, 18,030 trades, and 100% initial turnover, while totalEstimatedCost is 0.323. Monthly turnover also commonly runs around 2.0 to 3.2 in the turnover series, including 3.18 in 2025-09 and 2.93 in 2025-07. That means the baseline is acceptable only if the user is comfortable with market-like risk, top-heavy tech exposure, and a strategy whose edge over SPY is small enough that trading frictions can matter.

    strategyViews.baseline.riskNotesstrategyViews.baseline.metricsstrategyViews.baseline.turnoverSeriesstrategyViews.baseline.concentration

    Ask whether trading costs and concentration would erase the baseline’s small advantage over SPY in a live portfolio.

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