Optimization Strategybaseline
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Baseline

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

AI Summary

High-growth, lower-beta portfolio with strong long-run returns and clear concentration in disruptive technology and innovation names.

Annualized Return
16.25%
Annualized return
Alpha
7.86%
Active return
Sharpe
1.12
Risk-adjusted return
Beta
0.59
Market sensitivity
Max Drawdown
-22.24%
Maximum drawdown
Top 5
25.70%
Top-5 concentration
Top 10
43.23%
Top-10 concentration
Top 20
62.64%
Top-20 concentration

Portfolio Snapshot

Current optimized weights for the selected default session.

SymbolNameSectorWeightDiff
TSLATesla, Inc.Consumer Discretionary9.01%0
SHOPShopify Inc.Information Technology4.40%0
ROKURoku, Inc.Communication Services4.39%0
COINCoinbase Global, Inc.Financials3.95%0
PLTRPalantir Technologies Inc.Information Technology3.95%0
CRSPCRISPR Therapeutics AGHealth Care3.79%0
AMDAdvanced Micro Devices, Inc.Information Technology3.79%0
HOODRobinhood Markets, Inc.Financials3.74%0
TERTeradyne, Inc.Information Technology3.14%0
TEMTempus AI, Inc.Health Care3.07%0
RBLXRoblox CorporationCommunication Services2.69%0
BEAMBeam Therapeutics Inc.Health Care2.38%0
CRCLCircle Internet Group, Inc.Information Technology2.26%0
AMZNAmazon.com, Inc.Consumer Discretionary1.92%0
ACHRArcher Aviation Inc.Industrials1.82%0
KTOSKratos Defense & Security Solutions, Inc.Industrials1.80%0
BMNRBitmine Immersion Technologies, Inc.Information Technology1.77%0
TWSTTwist Bioscience CorporationHealth Care1.65%0
NVDANVIDIA CorporationInformation Technology1.61%0
XYZBlock, Inc.Financials1.51%0

Sector Exposure

  • Information Technology26.85%
  • Health Care23.08%
  • Consumer Discretionary15.19%
  • Communication Services12.83%
  • Financials12.38%
  • Industrials9.41%
  • Real Estate0.12%
  • Utilities0.11%

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: -22.24%(Dec 22)

Turnover Trend

Per-period turnover with average reference.

Avg turnover: 11.94Peak: 26.07

Strategy Comparison

All four default strategies side-by-side.

StrategyAnnualizedAlphaSharpeMax DD
Baseline16.25%7.86%1.12-22.24%
Momentum Screen32.69%14.49%1.09-40.38%
Basic Value Screen18.35%4.60%0.82-36.24%
Combo Equal Screen18.31%3.42%0.83-37.02%

Recent Periods

Per-period performance vs benchmark.

PeriodStrategyBenchmarkExcessTurnoverTrades
2022-12-31-3.24%-0.25%-2.997.0850
2023-03-317.23%7.90%-0.689.4351
2023-06-30-0.96%-1.77%+0.816.4551
2023-09-304.99%10.11%-5.124.7954
2023-12-313.94%4.96%-1.026.4553
2024-03-310.38%2.31%-1.949.6955
2024-06-3017.40%9.83%+7.576.7057
2024-09-309.65%2.76%+6.8913.6358
2024-12-31-2.45%-3.63%+1.1810.9358
2025-03-3111.10%9.22%+1.897.6560
2025-06-302.43%4.20%-1.7712.9158
2025-09-300.07%1.49%-1.427.8259

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 Baseline means accepting the manager's disclosed sizing almost directly. Here that means moderate concentration rather than broad index-like exposure: top 5 25.70%, top 10 43.23%, top 20 62.64%, with TSLA 9.01%, SHOP 4.40%, ROKU 4.39%, COIN 3.95%, PLTR 3.95%, CRSP 3.79%. The baseline result is return 16.25%, alpha 7.86%, beta 0.59, Sharpe 1.12, Sortino 1.51, max drawdown -22.24%. That is the right reference case, but it is not automatically the safest case because the largest names and sector mix (Information Technology 26.85%, Health Care 23.08%, Consumer Discretionary 15.19%, Communication Services 12.83%) still dominate the realized path.

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

    Compare Baseline concentration and drawdown with each screen.

  • baseline13FChat AI

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

    The period rows show the character of the baseline. The strongest relative period was 2024-06-30 (17.40% vs SPY 9.83%, excess 7.57%, turnover 6.70%); the weakest was 2023-09-30 (4.99% vs SPY 10.11%, excess -5.12%, turnover 4.79%). The latest rows (2025-03-31 (11.10% vs SPY 9.22%, excess 1.89%, turnover 7.65%); 2025-06-30 (2.43% vs SPY 4.20%, excess -1.77%, turnover 12.91%); 2025-09-30 (0.07% vs SPY 1.49%, excess -1.42%, turnover 7.82%)) show whether recent results are confirming or reversing the long-term profile.

    strategyViews.baseline.periodPerformance

    Rank recent baseline periods by excess return and turnover.

  • baseline13FChat AI

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

    Before accepting Baseline, I would inspect three things: whether TSLA 9.01%, SHOP 4.40%, ROKU 4.39%, COIN 3.95% still have current theses, whether recent changes such as no large named moves and no large named moves indicate a shift, and whether max drawdown of -22.24% is acceptable for the user's risk budget.

    strategyViews.baseline.topHoldingsstrategyViews.baseline.latestChangesstrategyViews.baseline.metrics.maxDrawdown

    Review the largest baseline holdings and explain whether each still deserves its weight.

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