최적화 전략baseline
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Quant Analysis ResultBaselineRun Ready

Baseline

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

AI Summary

Concentrated mid-cap growth-leaning portfolio with strong absolute returns, moderate volatility, and meaningful single-name risk.

Annualized Return
15.41%
Annualized return
Alpha
9.42%
Active return
Sharpe
1.01
Risk-adjusted return
Beta
0.40
Market sensitivity
Max Drawdown
-25.21%
Maximum drawdown
Top 5
60.07%
Top-5 concentration
Top 10
94.86%
Top-10 concentration
Top 20
100.01%
Top-20 concentration

Portfolio Snapshot

Current optimized weights for the selected default session.

SymbolNameSectorWeightDiff
OKTAOkta, Inc.Information Technology14.38%0
FOURShift4 Payments, Inc.Financials13.62%0
CSGPCoStar Group, Inc.Real Estate12.12%0
BABAAlibaba Group Holding LimitedConsumer Discretionary10.44%0
BRZEBraze, Inc.Information Technology9.51%0
PCORProcore Technologies, Inc.Information Technology9.33%0
MNDYmonday.com Ltd.Information Technology7.06%0
FWON.KFormula One GroupCommunication Services6.90%0
INTUIntuit Inc.Information Technology6.33%0
BLNDBlend Labs, Inc.Information Technology5.17%0
AMZNAmazon.com, Inc.Consumer Discretionary5.15%0

Sector Exposure

  • Information Technology51.78%
  • Consumer Discretionary15.59%
  • Financials13.62%
  • Real Estate12.12%
  • Communication Services6.90%

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: -25.21%(Mar 20)

Turnover Trend

Per-period turnover with average reference.

Avg turnover: 10.39Peak: 34.26

Strategy Comparison

All four default strategies side-by-side.

StrategyAnnualizedAlphaSharpeMax DD
Baseline15.41%9.42%1.01-25.21%
Momentum Screen19.06%13.29%0.66-37.01%
Basic Value Screen13.56%4.25%0.51-74.29%
Combo Equal Screen23.92%14.49%0.98-26.48%

Recent Periods

Per-period performance vs benchmark.

PeriodStrategyBenchmarkExcessTurnoverTrades
2022-12-31-0.66%-0.25%-0.408.532
2023-03-313.11%7.90%-4.790.472
2023-06-301.29%-1.77%+3.054.002
2023-09-304.09%10.11%-6.011.012
2023-12-310.65%4.96%-4.311.202
2024-03-31-0.11%2.31%-2.437.042
2024-06-304.46%9.83%-5.362.352
2024-09-30-0.75%2.76%-3.5112.952
2024-12-310.50%-3.63%+4.139.963
2025-03-313.43%9.22%-5.7913.723
2025-06-30-4.23%4.20%-8.436.993
2025-09-30-0.13%1.49%-1.621.552

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?

    Following the baseline means accepting a highly concentrated book with very little diversification beyond about 10 names. The baseline top 5 holdings are 60.07% and top 10 are 94.86%, with OKTA at 14.38%, FOUR at 13.62%, CSGP at 12.12%, BABA at 10.44%, and BRZE at 9.51%. Sector exposure is also narrow in the strategy artifact: 51.78% Information Technology, 15.59% Consumer Discretionary, 13.62% Financials, 12.12% Real Estate, and 6.9% Communication Services. Historically that exposure produced 15.41% annualized return and 9.42 alpha, but it still came with a -25.21% max drawdown. So the baseline offers strong stock-selection upside, but an investor is really buying single-name and sector leadership risk rather than broad diversification.

    strategyViews.baseline.topHoldingsstrategyViews.baseline.concentration.top5strategyViews.baseline.concentration.top10strategyViews.baseline.sectorWeightsstrategyViews.baseline.metrics.annualizedReturnstrategyViews.baseline.metrics.alphastrategyViews.baseline.metrics.maxDrawdown

    Show me what the baseline would look like after capping every position above 10%.

  • baseline13FChat AI

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

    The recent baseline periods show a pattern of uneven but occasionally strong excess return. The best recent relative period was 2024-12-31, when optimizedReturn was 0.5% versus benchmarkReturn of -3.63%, for +4.13% excess, with turnover of 9.96 and 3 trades. Another supportive period was 2023-06-30, when the baseline gained 1.29% against -1.77% for SPY, a +3.05% excess with 4.0 turnover. The weak side is more frequent: 2025-06-30 delivered -4.23% versus +4.2% for SPY, an -8.43% excess, and 2023-09-30 lagged by -6.01% despite only 1.01 turnover. 2025-03-31 also lagged by -5.79% with 13.72 turnover. Those periods explain the trade-off well: long-run returns are strong, but concentration creates wide quarter-to-quarter dispersion around SPY.

    strategyViews.baseline.periodPerformance

    Plot the baseline's rolling excess return versus turnover to see whether more trading actually helped.

  • baseline13FChat AI

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

    The next check should be whether the user is comfortable with concentration and lag risk at the same time. Baseline riskNotes explicitly say the backtest used delayed filing dates, so positions may lag the manager's real-time moves. At the same time, the current book is top-heavy: top 10 concentration is 94.86%, and the latest snapshot shows new positions BABA at 10.44% and AMZN at 5.15% alongside large existing weights in OKTA, FOUR, and CSGP. Users should also inspect the worst recent periods—especially 2025-06-30 at -8.43% excess and 2023-09-30 at -6.01% excess—to judge whether this concentration is tolerable in live conditions. In practice, the decision comes down to whether you trust the manager's disclosed stock selection enough to accept reporting lag plus concentrated drawdown risk.

    strategyViews.baseline.riskNotesstrategyViews.baseline.concentration.top10recentChangesstrategyViews.baseline.periodPerformance

    Show me a side-by-side of current weights, previous weights, and delay-adjusted risks for the top 10 positions.

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