Baseline
Track disclosed holdings with the standard reporting lag and no active reweighting.
AI Summary
High-return, growth-heavy portfolio with solid alpha and moderate beta, but meaningful concentration and drawdown risk.
Portfolio Snapshot
Current optimized weights for the selected default session.
| Symbol | Name | Sector | Weight | Diff |
|---|---|---|---|---|
| GOOGL | Alphabet Inc. | Communication Services | 11.81% | 0 |
| MSFT | Microsoft Corporation | Information Technology | 9.40% | 0 |
| AMZN | Amazon.com, Inc. | Consumer Discretionary | 8.20% | 0 |
| NVDA | NVIDIA Corporation | Information Technology | 7.29% | 0 |
| SE | Sea Limited | Consumer Discretionary | 6.98% | 0 |
| META | Meta Platforms, Inc. | Communication Services | 6.44% | 0 |
| TTWO | Take-Two Interactive Software, Inc. | Communication Services | 5.30% | 0 |
| AVGO | Broadcom Inc. | Information Technology | 3.53% | 0 |
| APO | Apollo Global Management, Inc. | Financials | 3.19% | 0 |
| RDDT | Reddit, Inc. | Communication Services | 3.13% | 0 |
| APP | AppLovin Corporation | Information Technology | 3.09% | 0 |
| FLUT | Flutter Entertainment plc | Consumer Discretionary | 3.06% | 0 |
| SPOT | Spotify Technology S.A. | Communication Services | 2.60% | 0 |
| LRCX | Lam Research Corporation | Information Technology | 2.37% | 0 |
| GEV | GE Vernova Inc. | Industrials | 2.26% | 0 |
| CPNG | Coupang, Inc. | Consumer Discretionary | 2.20% | 0 |
| VEEV | Veeva Systems Inc. | Health Care | 1.92% | 0 |
| CPAY | Corpay, Inc. | Financials | 1.87% | 0 |
| GRAB | Grab Holdings Limited | Industrials | 1.64% | 0 |
| XYZ | Block, Inc. | Financials | 1.47% | 0 |
Sector Exposure
- Information Technology31.06%
- Communication Services31.03%
- Consumer Discretionary20.68%
- Financials9.45%
- Industrials3.94%
- Health Care2.71%
- Real Estate0.79%
- Materials0.30%
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 | 18.63% | 7.27% | 1.04 | -33.94% |
| Momentum Screen | 22.15% | 7.46% | 0.89 | -46.74% |
| Basic Value Screen | 20.62% | 5.01% | 0.85 | -50.14% |
| Combo Equal Screen | 19.64% | 4.44% | 0.76 | -65.63% |
Recent Periods
Per-period performance vs benchmark.
| Period | Strategy | Benchmark | Excess | Turnover | Trades |
|---|---|---|---|---|---|
| 2022-12-31 | 2.10% | -0.25% | +2.35 | 31.84 | 23 |
| 2023-03-31 | 11.04% | 7.90% | +3.14 | 18.03 | 28 |
| 2023-06-30 | 4.38% | -1.77% | +6.15 | 49.18 | 27 |
| 2023-09-30 | 18.31% | 10.11% | +8.21 | 17.80 | 22 |
| 2023-12-31 | 1.27% | 4.96% | -3.69 | 21.35 | 24 |
| 2024-03-31 | 0.56% | 2.31% | -1.75 | 14.47 | 20 |
| 2024-06-30 | 13.24% | 9.83% | +3.41 | 19.88 | 23 |
| 2024-09-30 | 6.52% | 2.76% | +3.76 | 13.78 | 24 |
| 2024-12-31 | -3.92% | -3.63% | -0.29 | 16.30 | 24 |
| 2025-03-31 | 9.86% | 9.22% | +0.64 | 16.89 | 27 |
| 2025-06-30 | 1.16% | 4.20% | -3.04 | 11.05 | 24 |
| 2025-09-30 | 3.29% | 1.49% | +1.80 | 23.98 | 25 |
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 a concentrated growth-heavy portfolio with real 13F lag risk. The baseline top 5 hold 43.68%, top 10 hold 65.27%, and top 20 hold 87.75%, led by GOOGL at 11.81%, MSFT at 9.4%, AMZN at 8.2%, NVDA at 7.29%, and SE at 6.98%. Sector exposure is concentrated in Information Technology at 31.06%, Communication Services at 31.03%, and Consumer Discretionary at 20.68%. The payoff has been strong at 18.63% annualized return and 7.27 alpha, but investors also take on a -33.94% max drawdown, 650 trades, and disclosure-lag implementation risk.
strategyViews.baseline.concentration.top5strategyViews.baseline.concentration.top10strategyViews.baseline.concentration.top20strategyViews.baseline.topHoldingsstrategyViews.baseline.sectorWeightsstrategyViews.baseline.metrics.annualizedReturnstrategyViews.baseline.metrics.alphastrategyViews.baseline.metrics.maxDrawdownstrategyViews.baseline.riskNotes↳ Show the baseline top holdings, sector exposure, and drawdown profile together.
- baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?
The recent baseline periods that best show the trade-off are the strong excess-return quarters and the weaker quality-of-return quarters. In 2023-09-30 the baseline returned 18.31% versus 10.11% for SPY, an 8.21-point excess return, with turnover of 17.8 and 22 trades. In 2024-06-30 it returned 13.24% versus 9.83%, a 3.41-point excess return, with 19.88 turnover and 23 trades. But weaker periods show the cost of the strategy's cyclicality: 2023-12-31 returned only 1.27% versus 4.96% for SPY (-3.69 excess), and 2025-06-30 returned 1.16% versus 4.2% (-3.04 excess). These swings help explain why the portfolio still produced high alpha overall but also endured a deep -33.94% max drawdown.
strategyViews.baseline.periodPerformancestrategyViews.baseline.metrics.maxDrawdown↳ Plot the baseline's best and worst recent quarters against turnover and excess return.
- baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?
Before accepting the baseline, a user should inspect three things: concentration, implementation drag, and recent changes. Concentration is high with 65.27% in the top 10 and 87.75% in the top 20. Implementation drag is not trivial because the backtest reports 650 trades and totalEstimatedCost of 2.727, and turnover reached 49.18 in 2023-06-30 and 23.98 in 2025-09-30. Recent holdings changes also matter because the latest disclosed positions are unchanged in the artifact view, meaning the baseline result reflects the disclosed portfolio as-is rather than an optimization layer. That makes the user decision mostly about whether the original sector and top-name concentration is acceptable after reporting lag.
strategyViews.baseline.concentrationstrategyViews.baseline.metrics.totalEstimatedCoststrategyViews.baseline.turnoverSeriesstrategyViews.baseline.periodPerformancestrategyViews.baseline.latestChanges↳ Show me the baseline concentration, turnover history, and estimated cost in one view.
该基金的其它策略
动量筛选
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.
价值筛选
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.
综合等权
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.