最適化戦略basic-value-screen
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Quant Analysis ResultBasic Value ScreenRun Ready

Basic Value Screen

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.

AI Summary

Highly concentrated large-value tilt drove strong backtested returns and alpha, but with very high volatility and drawdown risk.

Annualized Return
21.43%
Annualized return
Alpha
6.77%
Active return
Sharpe
0.68
Risk-adjusted return
Beta
1.46
Market sensitivity
Max Drawdown
-61.17%
Maximum drawdown
Top 5
100.00%
Top-5 concentration
Top 10
100.00%
Top-10 concentration
Top 20
100.00%
Top-20 concentration

Portfolio Snapshot

Current optimized weights for the selected default session.

SymbolNameSectorWeightDiff
EQHEquitable Holdings, Inc.Financials100.00%+71.89

Sector Exposure

  • Financials100.00%

Weight Changes

Notable position adjustments in the latest snapshot.

  • EQHEquitable Holdings, Inc.100.00% (+71.89)

Performance vs Benchmark

Strategy NAV vs benchmark — hover for exact values.

Basic Value ScreenBenchmark

Alpha Trend

Excess return vs benchmark over time.

Alpha (positive)Alpha (negative)

Drawdown Trend

Underwater curve and peak drawdown marker.

Max DD: -61.17%(Mar 20)

Turnover Trend

Per-period turnover with average reference.

Avg turnover: 36.62Peak: 103.04

Strategy Comparison

All four default strategies side-by-side.

StrategyAnnualizedAlphaSharpeMax DD
Baseline7.80%0.43%0.53-23.60%
Momentum Screen24.18%12.06%0.86-37.18%
Basic Value Screen21.43%6.77%0.68-61.17%
Combo Equal Screen8.10%1.59%0.46-26.80%

vs Baseline: Annualized +13.63 · Alpha +6.34 · Sharpe +0.15

Recent Periods

Per-period performance vs benchmark.

PeriodStrategyBenchmarkExcessTurnoverTrades
2022-12-318.23%-0.25%+8.499.892
2023-03-3124.52%7.90%+16.6231.222
2023-06-30-5.25%-1.77%-3.48100.923
2023-09-3019.12%10.11%+9.02101.162
2023-12-3119.06%4.96%+14.100.121
2024-03-31-4.35%2.31%-6.660.001
2024-06-3022.12%9.83%+12.290.001
2024-09-3012.78%2.76%+10.020.001
2024-12-31-2.96%-3.63%+0.660.001
2025-03-313.33%9.22%-5.890.000
2025-06-30-17.37%4.20%-21.570.001
2025-09-306.55%1.49%+5.070.001

Strategy Q&A

Pre-generated questions and answers about this strategy.

  • value13FChat AI

    Which names did the value screen keep, and what makes the result different from the baseline?

    The value screen currently kept only Equitable Holdings (EQH), which is 100.0% of the portfolio versus 28.11% in the baseline, a +71.89 point weight increase. That makes the result very different from the baseline, which spread risk across six names with top positions in GPI, EQH, LAD, BUR, SDHC, and RMNI. Sector exposure also collapsed from baseline diversification across Consumer Discretionary, Financials, and Information Technology into 100.0% Financials. So instead of the baseline’s concentrated multi-name value portfolio, the value screen became a single-security financials bet.

    strategyViews.basic-value-screen.topHoldings.symbolstrategyViews.basic-value-screen.topHoldings.weightstrategyViews.basic-value-screen.topHoldings.originalWeightstrategyViews.basic-value-screen.topHoldings.weightDiffstrategyViews.baseline.topHoldings.symbolstrategyViews.baseline.sectorWeights.sectorstrategyViews.basic-value-screen.sectorWeights.sectorstrategyViews.basic-value-screen.sectorWeights.weight

    Explain why EQH may have screened as the strongest value candidate and what users lose by dropping the other baseline names.

  • value13FChat AI

    Did the value screen improve valuation exposure without hurting return quality?

    On backtest results, it improved headline returns and alpha, but not without materially hurting risk quality. Annualized return rose to 21.43% from 7.8% baseline and alpha increased to 6.77 from 0.43, while sharpe improved to 0.68 from 0.53. However, beta climbed to 1.46 and maxDrawdown worsened drastically to -61.17% from -23.6%, which is a major deterioration in downside quality. In other words, the screen found a high-return value concentration, but it did not preserve the baseline’s lower-risk profile.

    strategyViews.basic-value-screen.metrics.annualizedReturnstrategyViews.baseline.metrics.annualizedReturnstrategyViews.basic-value-screen.metrics.alphastrategyViews.baseline.metrics.alphastrategyViews.basic-value-screen.metrics.sharpestrategyViews.baseline.metrics.sharpestrategyViews.basic-value-screen.metrics.betastrategyViews.basic-value-screen.metrics.maxDrawdownstrategyViews.baseline.metrics.maxDrawdown

    Compare the value screen’s higher returns with its volatility, beta, and drawdown so I can see if it crossed from value into uncompensated risk.

  • value13FChat AI

    Which periods or holdings most clearly explain the value screen's result?

    The value screen’s result is best explained by a mix of strong earlier upside and later concentration in EQH. In periodPerformance, it generated +16.62% excess in 2023-03-31, +14.1% in 2023-12-31, +12.29% in 2024-06-30, and +10.02% in 2024-09-30. But it also had severe setbacks, including -21.57% excess in 2025-06-30 and -6.66% in 2024-03-31. The latest portfolio is entirely EQH at 100.0%, so current behavior is effectively a one-name Financials trade rather than a diversified value basket.

    strategyViews.basic-value-screen.periodPerformance.periodIdstrategyViews.basic-value-screen.periodPerformance.optimizedExcessstrategyViews.basic-value-screen.topHoldings.symbolstrategyViews.basic-value-screen.topHoldings.weightstrategyViews.basic-value-screen.sectorWeights.sector

    Show the value screen’s holding list by quarter so I can see when it diversified and when it converged into EQH.

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