Alpaca 15m regular session · stat arb comparison · generated 2026-06-05

Google Stat Arb Basket Comparison

你问得对:可以把它写得更像统计套利。所以我对比了单因子 price residual、return residual、等权篮子 spread,以及当前 QQQ tail reversal。结果是:残差策略形式更“stat arb”,但目前没有超过现有 QQQ tail reversal。

Best Overall
Baseline
baseline_lead_QQQ_lb6_q0.05_reversal_none_h1
Baseline Recent 1Y
2.211
Prior 0.926
Best Residual Recent 1Y
1.920
Prior -0.312
Residual OOS Mar+
4.464
Full 0.338

Compared Candidates

Best residual: price_resid_META_bw260_zw520_e2.5_paired_h2. 这是 GOOGL 对 META 的滚动 log-price residual,paired 执行,残差偏高时 short GOOGL / long META beta hedge,残差偏低时反过来。

P&L Curve

Rolling Sharpe

Top Candidates

CandidateFamilyFullRecent 1YPriorMar+ OOSMaxDD
baseline_lead_QQQ_lb6_q0.05_reversal_none_h1lead_lag_tail_reversal1.3682.2110.9263.545-7.87%
price_resid_META_bw260_zw520_e2.5_paired_h2price_residual0.3381.920-0.3124.464-9.81%
price_resid_META_bw260_zw520_e2.5_google_only_h2price_residual0.9881.6900.5482.912-7.74%
return_resid_MSFT_lb6_bw260_zw520_e2.4_google_only_h1return_residual0.8852.0050.0822.515-5.69%
return_resid_MSFT_lb6_bw260_zw260_e2.4_google_only_h1return_residual1.1691.5040.9392.623-7.54%
price_resid_META_bw260_zw520_e2.5_paired_h1price_residual0.7261.3540.2323.379-5.96%
price_resid_MSFT_bw260_zw520_e2.0_paired_h2price_residual0.9731.2510.7882.911-5.03%
price_resid_META_bw260_zw260_e1.5_paired_h1price_residual0.6232.139-0.3051.667-12.28%
price_resid_MSFT_bw260_zw520_e2.0_google_only_h2price_residual0.7711.8640.2061.830-15.10%
price_resid_META_bw260_zw260_e1.5_paired_h2price_residual0.5302.128-0.4821.599-13.06%
price_resid_META_bw260_zw520_e2.5_google_only_h1price_residual0.7521.3990.3212.644-8.47%
price_resid_MSFT_bw260_zw260_e2.0_google_only_h2price_residual0.7402.398-0.3551.183-21.97%
return_resid_META_lb6_bw260_zw260_e1.8_google_only_h1return_residual0.7821.8660.0291.699-10.31%
return_resid_META_lb3_bw520_zw260_e2.4_google_only_h1return_residual0.6931.2800.3182.828-6.82%
return_resid_META_lb6_bw260_zw260_e2.4_google_only_h1return_residual1.1661.2901.0772.295-5.53%
price_resid_META_bw260_zw260_e2.0_paired_h2price_residual0.9781.6560.4521.803-8.64%
return_resid_XLK_lb3_bw260_zw520_e2.4_google_only_h1return_residual0.5161.511-0.2232.493-9.10%
return_resid_META_lb6_bw520_zw520_e1.8_google_only_h1return_residual1.0061.5540.5791.884-6.12%
return_resid_META_lb3_bw520_zw520_e2.4_google_only_h1return_residual0.8131.2400.5322.502-7.49%
return_resid_MSFT_lb6_bw520_zw260_e2.4_google_only_h1return_residual1.2231.3451.1401.826-7.87%

Residual Stress

TC bpsDelayFullRecent 1YPriorMar+ OOSMaxDD
1.510.3381.920-0.3124.464-9.81%
1.520.3292.153-0.3403.929-9.65%
1.530.1941.440-0.2183.544-9.52%
3.010.2151.760-0.4234.251-9.85%
3.020.2031.975-0.4513.692-9.70%
3.030.0671.241-0.3293.226-9.53%
5.010.0521.545-0.5703.961-10.53%
5.020.0351.734-0.5993.367-10.52%
5.03-0.1030.973-0.4772.790-10.19%
10.01-0.3561.001-0.9363.206-14.77%
10.02-0.3831.124-0.9672.524-14.77%
10.03-0.5250.303-0.8431.663-14.55%

Strategy Eval

PAW daily adapter: Net Sharpe 0.352, CAGR 2.20%, MaxDD -8.91%, Bias CAUSAL — lead-cheat boosts Sharpe more than lag-stale drops it.

Best residual PAW dashboard

Decision

残差方向值得继续研究,但当前不替换 baseline。它的近期 OOS 很强,说明 “GOOGL/META residual” 在 2026 regime 里有信号;但 full Sharpe 只有 0.338,prior context Sharpe 是 -0.312,稳定性不如 baseline。更合理的下一步不是直接替换,而是把 residual 当成 baseline 的 confirm/gate 或小权重 ensemble。