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.
Portfolio Snapshot
Current optimized weights for the selected default session.
| Symbol | Name | Sector | Weight | Diff |
|---|---|---|---|---|
| NVDA | NVIDIA Corporation | Information Technology | 8.01% | 0 |
| AAPL | Apple Inc. | Information Technology | 7.09% | 0 |
| MSFT | Microsoft Corporation | Information Technology | 6.35% | 0 |
| AMZN | Amazon.com, Inc. | Consumer Discretionary | 3.96% | 0 |
| AVGO | Broadcom Inc. | Information Technology | 2.89% | 0 |
| GOOGL | Alphabet Inc. | Communication Services | 2.58% | 0 |
| META | Meta Platforms, Inc. | Communication Services | 2.54% | 0 |
| TSLA | Tesla, Inc. | Consumer Discretionary | 2.23% | 0 |
| BRK.A | Berkshire Hathaway Inc. | Financials | 1.63% | 0 |
| JPM | JPMorgan Chase & Co. | Financials | 1.55% | 0 |
| LLY | Eli Lilly and Company | Health Care | 1.51% | 0 |
| V | Visa Inc. | Financials | 1.04% | 0 |
| XOM | Exxon Mobil Corporation | Energy | 0.90% | 0 |
| JNJ | Johnson & Johnson | Health Care | 0.88% | 0 |
| WMT | Walmart Inc. | Consumer Staples | 0.87% | 0 |
| MA | Mastercard Incorporated | Financials | 0.83% | 0 |
| ABBV | AbbVie Inc. | Health Care | 0.71% | 0 |
| PLTR | Palantir Technologies Inc. | Information Technology | 0.71% | 0 |
| NFLX | Netflix, Inc. | Communication Services | 0.70% | 0 |
| COST | Costco Wholesale Corporation | Consumer Staples | 0.67% | 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.
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 | 19.10% | 0.15% | 1.24 | -18.86% |
| Momentum Screen | 19.25% | 0.12% | 1.06 | -22.18% |
| Basic Value Screen | 3.57% | -8.05% | 0.30 | -18.43% |
| Combo Equal Screen | 14.97% | -5.21% | 0.83 | -22.99% |
Recent Periods
Per-period performance vs benchmark.
| Period | Strategy | Benchmark | Excess | Turnover | Trades |
|---|---|---|---|---|---|
| 2025-01-31 | -2.67% | -2.79% | +0.12 | 2.39 | 500 |
| 2025-02-28 | -6.25% | -6.48% | +0.24 | 2.88 | 500 |
| 2025-03-31 | -0.98% | -0.91% | -0.07 | 2.40 | 504 |
| 2025-04-30 | 6.21% | 6.28% | -0.07 | 2.04 | 500 |
| 2025-05-31 | 3.98% | 3.75% | +0.23 | 2.46 | 500 |
| 2025-06-30 | 2.33% | 2.69% | -0.36 | 2.05 | 501 |
| 2025-07-31 | 1.70% | 2.05% | -0.35 | 2.93 | 501 |
| 2025-08-31 | 3.56% | 3.66% | -0.10 | 2.74 | 500 |
| 2025-09-30 | 1.69% | 2.05% | -0.36 | 3.18 | 503 |
| 2025-10-31 | -0.19% | 0.20% | -0.39 | 2.85 | 502 |
| 2025-11-30 | 1.28% | 0.99% | +0.29 | 2.77 | 501 |
| 2025-12-31 | 0.00% | 0.00% | 0 | 2.37 | 503 |
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.
Outras estratégias para este fundo
Filtro de Momentum
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.
Filtro de Valor Básico
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.
Filtro Combo Igualado
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.