Baseline
Track disclosed holdings with the standard reporting lag and no active reweighting.
AI Summary
Low-beta, concentrated large-value mix with modest absolute returns, positive alpha, and weak SPY-relative consistency.
Portfolio Snapshot
Current optimized weights for the selected default session.
| Symbol | Name | Sector | Weight | Diff |
|---|---|---|---|---|
| RBC | RBC Bearings Incorporated | Industrials | 10.72% | 0 |
| DASH | DoorDash, Inc. | Consumer Discretionary | 8.27% | 0 |
| MELI | MercadoLibre, Inc. | Consumer Discretionary | 6.32% | 0 |
| CPNG | Coupang, Inc. | Consumer Discretionary | 5.88% | 0 |
| APG | APi Group Corporation | Industrials | 5.86% | 0 |
| XPO | XPO, Inc. | Industrials | 5.47% | 0 |
| FOUR | Shift4 Payments, Inc. | Financials | 4.25% | 0 |
| CVNA | Carvana Co. | Consumer Discretionary | 3.98% | 0 |
| FERG | Ferguson Enterprises Inc. | Industrials | 3.55% | 0 |
| RKT | Rocket Companies, Inc. | Financials | 3.45% | 0 |
| SHOP | Shopify Inc. | Information Technology | 3.35% | 0 |
| AYI | Acuity Inc. | Industrials | 2.99% | 0 |
| MDLN | Medline Inc. | Health Care | 2.96% | 0 |
| PRVA | Privia Health Group, Inc. | Health Care | 2.92% | 0 |
| AFRM | Affirm Holdings, Inc. | Financials | 2.80% | 0 |
| OPCH | Option Care Health, Inc. | Health Care | 2.68% | 0 |
| Q | Qnity Electronics, Inc. | Information Technology | 2.33% | 0 |
| VEEV | Veeva Systems Inc. | Health Care | 2.17% | 0 |
| ULS | UL Solutions Inc. | Industrials | 2.06% | 0 |
| CLH | Clean Harbors, Inc. | Industrials | 2.00% | 0 |
Sector Exposure
- Industrials35.48%
- Consumer Discretionary28.73%
- Financials12.50%
- Health Care11.99%
- Information Technology10.37%
- Communication Services0.96%
Weight Changes
Notable position adjustments in the latest snapshot.
Performance vs Benchmark
Strategy NAV vs benchmark — hover for exact values.
Alpha Trend
Excess return vs benchmark over time.
Drawdown Trend
Underwater curve and peak drawdown marker.
Turnover Trend
Per-period turnover with average reference.
Strategy Comparison
All four default strategies side-by-side.
| Strategy | Annualized | Alpha | Sharpe | Max DD |
|---|---|---|---|---|
| Baseline | 5.85% | 1.81% | 0.64 | -18.12% |
| Momentum Screen | 6.36% | 0.77% | 0.46 | -32.87% |
| Basic Value Screen | 15.25% | 6.95% | 0.82 | -34.89% |
| Combo Equal Screen | 8.90% | 2.39% | 0.48 | -39.03% |
Recent Periods
Per-period performance vs benchmark.
| Period | Strategy | Benchmark | Excess | Turnover | Trades |
|---|---|---|---|---|---|
| 2022-12-31 | -0.85% | -0.25% | -0.59 | 16.63 | 19 |
| 2023-03-31 | 6.93% | 7.90% | -0.97 | 13.74 | 20 |
| 2023-06-30 | -1.32% | -1.77% | +0.45 | 16.55 | 21 |
| 2023-09-30 | 6.34% | 10.11% | -3.76 | 7.96 | 20 |
| 2023-12-31 | -3.98% | 4.96% | -8.94 | 13.41 | 22 |
| 2024-03-31 | -1.41% | 2.31% | -3.72 | 8.69 | 21 |
| 2024-06-30 | 7.66% | 9.83% | -2.17 | 17.22 | 22 |
| 2024-09-30 | -1.97% | 2.76% | -4.73 | 21.07 | 20 |
| 2024-12-31 | -0.68% | -3.63% | +2.95 | 17.08 | 15 |
| 2025-03-31 | 2.74% | 9.22% | -6.48 | 16.19 | 16 |
| 2025-06-30 | -1.46% | 4.20% | -5.66 | 16.12 | 13 |
| 2025-09-30 | 1.63% | 1.49% | +0.14 | 11.88 | 13 |
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 concentrated portfolio with low market beta but meaningful single-name and sector dependence. The top 5 holdings are 37.05%, the top 10 are 57.75%, and the top 20 are 84.01%, with RBC alone at 10.72%, DASH at 8.27%, and MELI at 6.32%. Sector exposure is concentrated in Industrials (35.48%) and Consumer Discretionary (28.73%), with another 12.5% in Financials. Even with beta of just 0.31, the baseline still experienced a -18.12% max drawdown, 375 recovery days, 403 trades overall, and 0.7054 in estimated total cost, so the low-beta profile does not remove concentration and filing-lag risk.
strategyViews.baseline.topHoldingsstrategyViews.baseline.concentrationstrategyViews.baseline.sectorWeightsstrategyViews.baseline.metricsstrategyViews.baseline.riskNotes↳ Can you stress-test the baseline by showing what happens if the top 3 holdings underperform the rest of the book?
- baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?
The recent baseline trade-off is explained by a mix of defensive downside periods and weak upside capture. Positive relative periods included 2024-12-31, when the baseline returned -0.68% versus SPY at -3.63% for +2.95% excess, and 2025-09-30, when it returned 1.63% versus 1.49% for +0.14% excess. But several growth-led periods show the cost of low beta and concentration: 2023-12-31 returned -3.98% versus SPY +4.96% (-8.94% excess), 2025-03-31 returned 2.74% versus 9.22% (-6.48% excess), and 2025-06-30 returned -1.46% versus 4.20% (-5.66% excess). Turnover was also elevated in some weak periods, such as 21.07 at 2024-09-30 and 17.22 at 2024-06-30, reinforcing that trading activity did not consistently produce upside capture.
strategyViews.baseline.periodPerformancestrategyViews.baseline.metrics↳ Can you separate the recent baseline periods into defensive wins versus growth-lagging quarters and tie them back to holdings?
- baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?
A user should inspect three things next: concentration, sector dependence, and the lagged quarterly pattern. Concentration is high, with top 10 holdings at 57.75% and top 20 at 84.01%, so the next check should be whether names like RBC, DASH, MELI, CPNG, and APG reflect risks you actually want. Sector concentration is also meaningful, with Industrials at 35.48% and Consumer Discretionary at 28.73%, which together make up 64.21% of the baseline. Finally, inspect the period-level record, especially the weak SPY-relative quarters like 2023-12-31 (-8.94% excess), 2025-03-31 (-6.48%), and 2025-06-30 (-5.66%), because the baseline summary already flags weak benchmark consistency despite positive alpha.
strategyViews.baseline.concentrationstrategyViews.baseline.sectorWeightsstrategyViews.baseline.periodPerformancestrategyViews.baseline.summary↳ Can you walk me through whether the baseline’s weak SPY-relative quarters came from sector allocation, top holdings, or the 13F reporting lag?
이 펀드의 다른 전략
모멘텀 스크린
Select holdings by historically observable momentum, targeting roughly one quarter of each period's original member count and no more than 20 names; when a period has over 100 members, pre-rank to the top 50 first.
기본 가치 스크린
Select holdings using PE, PB, P/FCF, and EV/EBITDA, targeting roughly one quarter of each period's original member count and no more than 20 names; when a period has over 100 members, pre-rank to the top 50 first.
콤보 동일 스크린
Filter for large-cap, quality, and low-leverage holdings, rank by composite quality/value/size score, keep the top 20 names, and equal-weight the selected names.