優化策略baseline
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Quant Analysis ResultBaselineRun Ready

Baseline

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

AI Summary

Concentrated small-blend portfolio with strong long-run returns and alpha, but high drawdown risk.

Annualized Return
17.17%
Annualized return
Alpha
5.05%
Active return
Sharpe
0.74
Risk-adjusted return
Beta
0.93
Market sensitivity
Max Drawdown
-49.06%
Maximum drawdown
Top 5
83.12%
Top-5 concentration
Top 10
99.01%
Top-10 concentration
Top 20
100.01%
Top-20 concentration

Portfolio Snapshot

Current optimized weights for the selected default session.

SymbolNameSectorWeightDiff
CVNACarvana Co.Consumer Discretionary29.81%0
METAMeta Platforms, Inc.Communication Services20.95%0
CACCCredit Acceptance CorporationFinancials13.47%0
IBKRInteractive Brokers Group, Inc.Financials11.27%0
WIXWix.com Ltd.Information Technology7.62%0
HTHTH World Group LimitedConsumer Discretionary6.61%0
YUMCYum China Holdings, Inc.Consumer Discretionary4.94%0
GOOGLAlphabet Inc.Communication Services2.37%0
MSFTMicrosoft CorporationInformation Technology1.29%0
CRMSalesforce, Inc.Information Technology0.68%0
DEDeere & CompanyIndustrials0.54%0
PAYCPaycom Software, Inc.Industrials0.46%0

Sector Exposure

  • Consumer Discretionary41.36%
  • Financials24.74%
  • Communication Services23.32%
  • Information Technology9.59%
  • Industrials1.00%

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: -49.06%(Jan 23)

Turnover Trend

Per-period turnover with average reference.

Avg turnover: 14.81Peak: 32.51

Strategy Comparison

All four default strategies side-by-side.

StrategyAnnualizedAlphaSharpeMax DD
Baseline17.17%5.05%0.74-49.06%
Momentum Screen78.37%57.19%1.23-53.47%
Basic Value Screen25.38%14.24%0.74-60.53%
Combo Equal Screen22.61%8.81%0.71-76.74%

Recent Periods

Per-period performance vs benchmark.

PeriodStrategyBenchmarkExcessTurnoverTrades
2022-12-312.16%-0.25%+2.4123.314
2023-03-3119.03%7.90%+11.1225.945
2023-06-30-5.50%-1.77%-3.738.005
2023-09-3026.85%10.11%+16.7414.535
2023-12-3113.29%4.96%+8.3310.965
2024-03-313.63%2.31%+1.3225.425
2024-06-3024.42%9.83%+14.599.816
2024-09-3013.16%2.76%+10.4012.867
2024-12-31-1.70%-3.63%+1.938.688
2025-03-319.68%9.22%+0.464.967
2025-06-30-6.84%4.20%-11.047.958
2025-09-3011.64%1.49%+10.164.339

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 an extremely top-heavy portfolio with concentrated exposure to Consumer Discretionary, Financials, and Communication Services. The top 5 holdings are 83.12% and the top 10 are 99.01%, while sector weights are 41.36% Consumer Discretionary, 24.74% Financials, and 23.32% Communication Services. The backtest did deliver 17.17% annualized return and 5.05% alpha, but that came with a -49.06% max drawdown and only a 0.74 Sharpe ratio. In practical terms, the strategy offers strong upside if the core names work, but it leaves the investor highly dependent on a few stocks after the normal 13F reporting lag.

    strategyViews.baseline.concentration.top5strategyViews.baseline.concentration.top10strategyViews.baseline.sectorWeightsstrategyViews.baseline.metrics.annualizedReturnstrategyViews.baseline.metrics.alphastrategyViews.baseline.metrics.maxDrawdownstrategyViews.baseline.metrics.sharpestrategyViews.baseline.riskNotes

    List the baseline’s top holdings and sector weights alongside their contribution to concentration risk.

  • baseline13FChat AI

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

    The best recent baseline windows were 2023-09-30 and 2024-06-30, when optimized excess return was 16.74% and 14.59% respectively, while turnover stayed moderate at 14.53 and 9.81. Those periods help explain how a concentrated portfolio can generate strong alpha when its core holdings are in favor. The downside is visible in 2025-06-30, when the baseline lost 6.84% while SPY gained 4.20%, a -11.04% excess return despite only 7.95 turnover. That pattern shows the baseline’s trade-off clearly: it can outperform sharply in favorable quarters, but concentration can also create painful relative drawdowns when the core book is wrong.

    strategyViews.baseline.periodPerformance.periodIdstrategyViews.baseline.periodPerformance.optimizedExcessstrategyViews.baseline.periodPerformance.optimizedReturnstrategyViews.baseline.periodPerformance.benchmarkReturnstrategyViews.baseline.periodPerformance.turnover

    Plot the baseline’s best and worst excess-return quarters and map them to the biggest holdings at those times.

  • baseline13FChat AI

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

    Before accepting the baseline, the next thing to inspect is whether you are comfortable with its combination of concentration, lag, and downside. The strategy had 127 trades, 593.9% notional turnover, 270 recovery days, and a -49.06% max drawdown, even though implementation cost was only 0.8909. You should also verify whether the current top names—CVNA 29.81%, META 20.95%, CACC 13.47%, and IBKR 11.27%—fit your own risk limits, because they effectively determine outcomes. If those concentration and drawdown numbers are unacceptable, the baseline may not be suitable even though the long-run return profile is strong.

    strategyViews.baseline.riskNotesstrategyViews.baseline.metrics.maxDrawdownstrategyViews.baseline.metrics.totalEstimatedCostriskMetrics.recoveryDaystopHoldings.symboltopHoldings.weight

    Show me the baseline’s trade history, turnover by period, and concentration by quarter before I decide whether to follow it.

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