exp_1174

Contrarian 52-Week Regime Momentum Hybrid (Conflict-Arbitrated Relay, v1174)

← All V2 experiments
Relative return
1.383x
Excess vs bench
38.33%
Benchmark
CAPW_UNIV
Rolling windows
179 · monthly
Mean strategy gain
58.44%
Mean benchmark gain
14.08%
Mean excess gain
44.36%
Dispersion (ref)
31.20%
Win-rate vs bench (ref)
100.00%
Worst / best ratio (ref)
1.072x / 1.825x
Logic variants
4
Updated
Jul 21, 2026
Anchored windows (reference — strategy vs benchmark)
Kept from V1 for continuity; the objective ranks on the full rolling set, not these four.
WindowStrategyBenchmarkRatio
2006-07-03 … 2011-06-30 28.24% 2.22% 1.255x
2011-07-01 … 2016-06-30 40.74% 13.74% 1.237x
2016-07-01 … 2021-06-30 110.90% 20.63% 1.748x
2021-07-01 … 2026-06-26 51.25% 15.48% 1.310x
All rolling windows — the objective set (equal-weighted mean ratio)
Strategy Benchmark (CAPW_UNIV) Excess
2006200720082009201020112012201320142015201620172018201920202021 -25%0%25%50%75%100%125%
rolling 5y windows, monthly step — 179 windows · mean ratio 1.383x · beat benchmark in 179/179
#WindowStrategyBenchmarkRatio
1 2006-07-31 … 2011-07-29 25.95% 1.79% 1.237x
2 2006-08-31 … 2011-08-31 22.74% 0.21% 1.225x
3 2006-09-29 … 2011-08-31 19.85% -0.14% 1.200x
4 2006-10-31 … 2011-10-31 18.19% 0.23% 1.179x
5 2006-11-30 … 2011-11-30 15.16% -0.05% 1.152x
6 2006-12-29 … 2011-11-30 16.15% -0.32% 1.165x
7 2007-01-31 … 2012-01-31 15.98% 0.93% 1.149x
8 2007-02-28 … 2012-01-31 14.97% 1.43% 1.134x
9 2007-03-30 … 2012-03-30 16.96% 3.09% 1.135x
10 2007-04-30 … 2012-04-30 14.03% 2.42% 1.113x
11 2007-05-31 … 2012-05-31 10.71% 0.60% 1.101x
12 2007-06-29 … 2012-06-29 10.49% 1.92% 1.084x
13 2007-07-31 … 2012-07-31 12.16% 2.69% 1.092x
14 2007-08-31 … 2012-08-31 12.41% 2.95% 1.092x
15 2007-09-28 … 2012-09-28 12.29% 3.20% 1.088x
16 2007-10-31 … 2012-10-31 10.48% 2.60% 1.077x
17 2007-11-30 … 2012-11-30 10.93% 3.45% 1.072x
18 2007-12-31 … 2012-12-31 11.12% 3.69% 1.072x
19 2008-01-31 … 2013-01-31 16.11% 5.85% 1.097x
20 2008-02-29 … 2013-02-28 18.39% 6.82% 1.108x
21 2008-03-31 … 2013-03-28 20.72% 7.73% 1.121x
22 2008-04-30 … 2013-04-30 19.83% 7.51% 1.115x
23 2008-05-30 … 2013-04-30 18.78% 7.81% 1.102x
24 2008-06-30 … 2013-06-28 25.09% 9.33% 1.144x
25 2008-07-31 … 2013-07-31 29.95% 10.48% 1.176x
26 2008-08-29 … 2013-07-31 30.66% 10.52% 1.182x
27 2008-09-30 … 2013-09-30 36.11% 11.48% 1.221x
28 2008-10-31 … 2013-10-31 39.92% 15.76% 1.209x
29 2008-11-28 … 2013-10-31 41.53% 17.46% 1.205x
30 2008-12-31 … 2013-12-31 43.62% 18.44% 1.213x
31 2009-01-30 … 2013-12-31 45.29% 20.64% 1.204x
32 2009-02-27 … 2014-01-31 49.80% 21.63% 1.232x
33 2009-03-31 … 2014-03-31 49.66% 20.60% 1.241x
34 2009-04-30 … 2014-04-30 46.53% 19.00% 1.231x
35 2009-05-29 … 2014-04-30 46.85% 18.32% 1.241x
36 2009-06-30 … 2014-06-30 49.21% 19.01% 1.254x
37 2009-07-31 … 2014-07-31 43.76% 17.39% 1.225x
38 2009-08-31 … 2014-08-29 43.53% 17.70% 1.219x
39 2009-09-30 … 2014-09-30 41.90% 16.64% 1.217x
40 2009-10-30 … 2014-09-30 45.87% 17.08% 1.246x
41 2009-11-30 … 2014-11-28 43.06% 16.82% 1.225x
42 2009-12-31 … 2014-12-31 40.57% 16.28% 1.209x
43 2010-01-29 … 2014-12-31 43.23% 17.23% 1.222x
44 2010-02-26 … 2015-01-30 41.77% 15.80% 1.224x
45 2010-03-31 … 2015-03-31 41.57% 15.40% 1.227x
46 2010-04-30 … 2015-04-30 40.56% 15.38% 1.218x
47 2010-05-28 … 2015-04-30 43.19% 17.09% 1.223x
48 2010-06-30 … 2015-06-30 45.79% 17.45% 1.241x
49 2010-07-30 … 2015-06-30 44.55% 16.43% 1.242x
50 2010-08-31 … 2015-08-31 43.29% 15.76% 1.238x
51 2010-09-30 … 2015-09-30 40.38% 13.61% 1.236x
52 2010-10-29 … 2015-09-30 39.17% 13.06% 1.231x
53 2010-11-30 … 2015-11-30 40.79% 15.09% 1.223x
54 2010-12-31 … 2015-12-31 39.52% 13.55% 1.229x
55 2011-01-31 … 2016-01-29 36.42% 11.90% 1.219x
56 2011-02-28 … 2016-01-29 37.32% 11.53% 1.231x
57 2011-03-31 … 2016-03-31 39.19% 12.90% 1.233x
58 2011-04-29 … 2016-04-29 37.22% 12.39% 1.221x
59 2011-05-31 … 2016-05-31 39.32% 12.94% 1.234x
60 2011-06-30 … 2016-06-30 38.80% 13.30% 1.225x
61 2011-07-29 … 2016-07-29 43.76% 14.52% 1.255x
62 2011-08-31 … 2016-08-31 45.81% 15.19% 1.266x
63 2011-09-30 … 2016-09-30 48.48% 16.32% 1.277x
64 2011-10-31 … 2016-10-31 45.25% 14.02% 1.274x
65 2011-11-30 … 2016-11-30 47.34% 14.66% 1.285x
66 2011-12-30 … 2016-12-30 47.25% 14.92% 1.281x
67 2012-01-31 … 2017-01-31 47.00% 14.63% 1.282x
68 2012-02-29 … 2017-02-28 45.13% 14.78% 1.264x
69 2012-03-30 … 2017-02-28 44.74% 14.43% 1.265x
70 2012-04-30 … 2017-04-28 43.68% 14.61% 1.254x
71 2012-05-31 … 2017-05-31 47.12% 15.98% 1.268x
72 2012-06-29 … 2017-05-31 46.78% 15.44% 1.271x
73 2012-07-31 … 2017-07-31 44.60% 15.43% 1.253x
74 2012-08-31 … 2017-08-31 45.81% 15.12% 1.267x
75 2012-09-28 … 2017-08-31 45.54% 14.77% 1.268x
76 2012-10-31 … 2017-10-31 49.85% 16.12% 1.290x
77 2012-11-30 … 2017-11-30 50.57% 16.79% 1.289x
78 2012-12-31 … 2017-12-29 49.56% 16.93% 1.279x
79 2013-01-31 … 2018-01-31 49.76% 17.57% 1.274x
80 2013-02-28 … 2018-02-28 50.15% 16.21% 1.292x
81 2013-03-28 … 2018-02-28 48.75% 15.81% 1.284x
82 2013-04-30 … 2018-04-30 46.43% 14.25% 1.282x
83 2013-05-31 … 2018-05-31 40.47% 14.57% 1.226x
84 2013-06-28 … 2018-05-31 43.42% 14.97% 1.247x
85 2013-07-31 … 2018-07-31 38.26% 14.83% 1.204x
86 2013-08-30 … 2018-07-31 38.66% 15.59% 1.200x
87 2013-09-30 … 2018-09-28 39.29% 15.84% 1.202x
88 2013-10-31 … 2018-10-31 33.88% 12.89% 1.186x
89 2013-11-29 … 2018-10-31 33.79% 12.60% 1.188x
90 2013-12-31 … 2018-12-31 30.02% 9.93% 1.183x
91 2014-01-31 … 2019-01-31 30.72% 12.37% 1.163x
92 2014-02-28 … 2019-02-28 29.47% 12.38% 1.152x
93 2014-03-31 … 2019-03-29 32.81% 12.76% 1.178x
94 2014-04-30 … 2019-04-30 34.82% 13.73% 1.185x
95 2014-05-30 … 2019-04-30 33.74% 13.54% 1.178x
96 2014-06-30 … 2019-06-28 34.03% 12.81% 1.188x
97 2014-07-31 … 2019-07-31 35.48% 13.30% 1.196x
98 2014-08-29 … 2019-07-31 34.79% 12.80% 1.195x
99 2014-09-30 … 2019-09-30 37.31% 12.70% 1.218x
100 2014-10-31 … 2019-10-31 40.20% 12.91% 1.242x
101 2014-11-28 … 2019-10-31 39.81% 12.60% 1.242x
102 2014-12-31 … 2019-12-31 44.08% 14.16% 1.262x
103 2015-01-30 … 2019-12-31 43.89% 14.85% 1.253x
104 2015-02-27 … 2020-01-31 44.86% 14.04% 1.270x
105 2015-03-31 … 2020-03-31 42.43% 8.56% 1.312x
106 2015-04-30 … 2020-04-30 47.89% 11.65% 1.325x
107 2015-05-29 … 2020-05-29 48.77% 12.61% 1.321x
108 2015-06-30 … 2020-06-30 50.83% 13.64% 1.327x
109 2015-07-31 … 2020-07-31 57.04% 14.60% 1.370x
110 2015-08-31 … 2020-08-31 64.89% 18.07% 1.397x
111 2015-09-30 … 2020-09-30 62.80% 17.05% 1.391x
112 2015-10-30 … 2020-10-30 60.83% 14.60% 1.403x
113 2015-11-30 … 2020-11-30 68.66% 17.43% 1.436x
114 2015-12-31 … 2020-12-31 72.25% 18.65% 1.452x
115 2016-01-29 … 2021-01-29 112.99% 19.26% 1.786x
116 2016-02-29 … 2021-02-26 107.58% 19.79% 1.733x
117 2016-03-31 … 2021-03-31 110.53% 19.42% 1.763x
118 2016-04-29 … 2021-03-31 113.72% 19.66% 1.786x
119 2016-05-31 … 2021-05-28 110.20% 20.42% 1.746x
120 2016-06-30 … 2021-06-30 112.75% 21.06% 1.757x
121 2016-07-29 … 2021-06-30 110.90% 20.63% 1.748x
122 2016-08-31 … 2021-08-31 114.88% 21.75% 1.765x
123 2016-09-30 … 2021-09-30 110.20% 20.22% 1.748x
124 2016-10-31 … 2021-10-29 116.57% 22.50% 1.768x
125 2016-11-30 … 2021-11-30 119.68% 21.87% 1.803x
126 2016-12-30 … 2021-11-30 121.95% 21.75% 1.823x
127 2017-01-31 … 2022-01-31 110.32% 20.17% 1.750x
128 2017-02-28 … 2022-02-28 111.86% 18.51% 1.788x
129 2017-03-31 … 2022-03-31 115.40% 19.46% 1.803x
130 2017-04-28 … 2022-03-31 118.05% 19.46% 1.825x
131 2017-05-31 … 2022-05-31 110.78% 15.59% 1.824x
132 2017-06-30 … 2022-06-30 105.67% 13.08% 1.819x
133 2017-07-31 … 2022-07-29 106.72% 15.16% 1.795x
134 2017-08-31 … 2022-08-31 103.20% 13.72% 1.787x
135 2017-09-29 … 2022-08-31 104.03% 13.56% 1.797x
136 2017-10-31 … 2022-10-31 94.84% 11.86% 1.742x
137 2017-11-30 … 2022-11-30 94.35% 12.52% 1.727x
138 2017-12-29 … 2022-11-30 96.54% 12.46% 1.748x
139 2018-01-31 … 2023-01-31 91.58% 11.01% 1.726x
140 2018-02-28 … 2023-02-28 88.69% 11.03% 1.699x
141 2018-03-29 … 2023-02-28 89.74% 11.72% 1.698x
142 2018-04-30 … 2023-04-28 86.37% 13.01% 1.649x
143 2018-05-31 … 2023-05-31 84.50% 12.95% 1.634x
144 2018-06-29 … 2023-05-31 86.58% 13.01% 1.651x
145 2018-07-31 … 2023-07-31 94.74% 14.67% 1.698x
146 2018-08-31 … 2023-08-31 90.63% 13.51% 1.679x
147 2018-09-28 … 2023-08-31 89.97% 13.56% 1.673x
148 2018-10-31 … 2023-10-31 86.13% 12.60% 1.653x
149 2018-11-30 … 2023-11-30 90.86% 14.58% 1.666x
150 2018-12-31 … 2023-12-29 97.95% 17.26% 1.688x
151 2019-01-31 … 2024-01-31 94.97% 16.27% 1.677x
152 2019-02-28 … 2024-01-31 93.76% 15.94% 1.671x
153 2019-03-29 … 2024-03-28 103.90% 17.50% 1.735x
154 2019-04-30 … 2024-04-30 99.76% 15.50% 1.730x
155 2019-05-31 … 2024-05-31 104.52% 18.12% 1.731x
156 2019-06-28 … 2024-06-28 101.60% 17.99% 1.709x
157 2019-07-31 … 2024-07-31 97.63% 17.70% 1.679x
158 2019-08-30 … 2024-08-30 100.35% 18.41% 1.692x
159 2019-09-30 … 2024-09-30 100.47% 18.65% 1.690x
160 2019-10-31 … 2024-10-31 98.48% 17.87% 1.684x
161 2019-11-29 … 2024-11-29 105.65% 18.64% 1.733x
162 2019-12-31 … 2024-12-31 98.33% 17.62% 1.686x
163 2020-01-31 … 2025-01-31 95.25% 18.07% 1.654x
164 2020-02-28 … 2025-02-28 91.94% 19.00% 1.613x
165 2020-03-31 … 2025-03-31 92.09% 19.24% 1.611x
166 2020-04-30 … 2025-04-30 85.73% 16.49% 1.594x
167 2020-05-29 … 2025-04-30 83.91% 15.80% 1.588x
168 2020-06-30 … 2025-06-30 86.33% 18.19% 1.577x
169 2020-07-31 … 2025-07-31 82.70% 17.87% 1.550x
170 2020-08-31 … 2025-08-29 76.40% 16.69% 1.512x
171 2020-09-30 … 2025-09-30 80.28% 18.57% 1.520x
172 2020-10-30 … 2025-09-30 80.39% 19.43% 1.510x
173 2020-11-30 … 2025-11-28 71.52% 17.77% 1.456x
174 2020-12-31 … 2025-12-31 70.04% 16.92% 1.454x
175 2021-01-29 … 2025-12-31 44.90% 17.20% 1.236x
176 2021-02-26 … 2026-01-30 48.43% 17.04% 1.268x
177 2021-03-31 … 2026-03-31 44.64% 14.07% 1.268x
178 2021-04-30 … 2026-04-30 51.41% 16.03% 1.305x
179 2021-05-28 … 2026-04-30 50.97% 16.22% 1.299x
Notes
mode=explore; family=contrarian-52w-regime-momentum-hybrid New hybrid family built as a conflict-arbitrated relay instead of a static blend: every stock competes through three sleeves, a deep-52-week contrarian repair sleeve, a trend-confirmed momentum sleeve, and a durability sleeve, and the regime branch decides which sleeve is allowed to dominate when those signals disagree. The arbitration is explicit: broken drawdowns are rejected unless repair evidence is present, momentum leaders are taxed when they are too extended or low-quality, and fractured tapes route toward whichever sleeve has the stronger case only if durability confirms it. Deliberate metric coverage this run: active momentum uses return_1m_pct, return_3m_pct, return_6m_pct, return_12m_pct, and momentum_12_1_pct; trend/recovery uses both from_200d_ma_pct and from_52w_high_pct; volatility uses realized_vol_3m; liquidity uses avg_daily_volume_3m, avg_daily_dollar_volume_3m, and trading_days_3m; income uses dividend_yield_ttm_pct and dividend_ttm; valuation uses pe, forward_pe, and peg; growth uses eps_growth_pct, revenue_growth_pct, operating_income_growth_pct, free_cash_flow_growth_pct, and forward_eps; quality uses operating_margin_pct and free_cash_flow_margin_pct; size uses market_cap only as a regime/gate tilt rather than a raw rank. Deliberate weight-0 metrics this run: shares_outstanding, close, adj_close, high_52w, ma_200d, eps_ttm, revenue_ttm, operating_income_ttm, and free_cash_flow_ttm. Sparse fundamentals are normalized by present weight inside each sleeve so missing fields do not mechanically dominate selection.
Lesson notes
#890 · degrade · relative_return Δ -0.3500 · parent exp_1174 · Jul 21, 2026 · auto/explore; benchmark CAPW_UNIV
explore/contrarian-52w-recovery-quality-regime-momentum-hybrid: relative_return 1.0333x (delta -0.3500 vs exp_1174); win-rate 81.0056%, worst-window 0.975284, dispersion 5.4828%.
#885 · degrade · relative_return Δ -0.3193 · parent exp_1174 · Jul 21, 2026 · auto/explore; benchmark CAPW_UNIV
explore/contrarian-52w-regime-momentum-recovery-quality-hybrid: relative_return 1.0640x (delta -0.3193 vs exp_1174); win-rate 96.648%, worst-window 0.98704, dispersion 7.8497%.
#876 · degrade · relative_return Δ -0.0030 · parent exp_1137 · Jul 21, 2026 · auto/explore; benchmark CAPW_UNIV
explore/contrarian-52w-regime-momentum-hybrid: relative_return 1.3833x (delta -0.0030 vs exp_1137); win-rate 100.0%, worst-window 1.071692, dispersion 31.1981%.
Monthly picks — top stocks selected each month (whole timeline)
timeline — 240 months · top 15 each
Month 123456789101112131415
2006-07-31 AAPL GOOGL GOOG MSFT XOM NVDA GE BAC JNJ MO T C PFE KO PEP
2006-08-31 MAY AAPL GOOG GOOGL MSFT INTC XOM NVDA EXPE GE COO PFE AIG AMGN JNJ
2006-09-29 MAY AAPL GOOG GOOGL AKAM NVDA T XOM ORCL AT BAC MRK DLR ILMN SLG
2006-10-31 MAY AAPL GOOG GOOGL NVDA AT DECK AKAM MSFT ATI BMET T GS XOM BKNG
2006-11-30 MAY AAPL GOOG GOOGL NVDA MA ICE ATI DECK CSCO GS MSFT AKAM XOM AT
2006-12-29 MAY AAPL NVDA GOOG GOOGL ICE CF AT BMET MSFT ATI XOM CSCO WYNN ALB
2007-01-31 MAY AAPL ICE MGM CF GOOG GOOGL WYNN MA GT EOP MSFT CSCO AT DOC
2007-02-28 MAY CF AAPL ICE BKNG FSLR ALGN MGM GT GOOG GOOGL ALB DLX VMC MAT
2007-03-30 MAY AAPL GT CF DLX GOOG NRG GOOGL ANDV OI BKNG CE ES MAT ALB
2007-04-30 MAY AAPL GT AMZN ANDV CF BKNG NRG DLX MOS OI CMI PWR TEX ETR
2007-05-31 MAY AAPL GT CLF MA CF AMZN DLX DECK ALXN JEC AL GOOG FSLR CE
2007-06-29 MAY AAPL KMG FSLR CF AL NVDA MA DECK GT GOOG MOS AXON AMZN GOOGL
2007-07-31 AAPL GOOG GOOGL XOM NVDA MSFT GE AL INTC MSI BAC COP IBM PFE HPQ
2007-08-31 AAPL GOOG GOOGL NVDA XOM MSFT BAC PFE CSCO JNJ INTC PG MSI GS GE
2007-09-28 AAPL GOOG GOOGL GS MSI AMGN MSFT NVDA XOM JNJ WYNN CSCO BAC GE PFE
2007-10-31 AAPL GOOG GOOGL MSFT MAY SBUX GS XOM PFE NVDA JNJ INTC BAC CSCO WMT
2007-11-30 AAPL GOOG GOOGL MSFT XOM IPGP JNJ THC GE GS INTC WMT UNH PG PFE
2007-12-31 AAPL GOOG GOOGL MSFT XOM FSLR JNJ MO PG INTC GE KO MRK UNH MCD
2008-01-31 AAPL GOOG GOOGL MOS MSFT XOM MO JNJ PFE GE PG GS KO WMT CL
2008-02-29 AAPL GOOG MOS CF GOOGL XOM MSFT GE GS CVX MAY WMT DVN MO JNJ
2008-03-31 AAPL GOOG MOS CF MSFT GE XOM MEE WMT GOOGL MA MAY PRGO JNJ PG
2008-04-30 AAPL GOOG MOS CF GOOGL XOM MEE MA WMT FSLR ESV CVX MSFT SWN HAL
2008-05-30 AAPL MEE ESV MA SWN MOS FSLR GOOG BTUUQ BCR CLF APOL NVDA ATGE X
2008-06-30 AAPL MEE GOOG ESV MOS SWN XOM MA GOOGL BTUUQ CVX BCR NVDA WMT COP
2008-07-31 AAPL GOOG SWN MOS ESV BCR MA MEE GOOGL XOM DF GS APOL BTUUQ ATGE
2008-08-29 AAPL SWN BCR MBI DF ESV APOL FDO CELG ATGE FI GOOG CEPH FSLR HRS
2008-09-30 AAPL SWN BCR GOOG XOM DF D WMT MSFT NVDA APOL FDO ATGE CELG ESV
2008-10-31 AAPL GOOG SWN XOM WMT BCR D WWY CHD DF CLX PG JNJ MDLZ WFC
2008-11-28 AAPL GOOG XOM WMT D PG DLTR SWN WFC MCD CHD CLX KR JNJ ABT
2008-12-31 AAPL XOM GOOG WMT PG DLTR JNJ MCD GOOGL WFC PFE GILD ABT KR CVX
2009-01-30 AAPL XOM GOOG WMT GOOGL CVX PG MCD JNJ GILD SWN ABT MDLZ DLTR EW
2009-02-27 AAPL XOM GOOG NVDA GOOGL WMT AMZN JNJ IBM MCD EW T NFLX V HET
2009-03-31 AAPL GOOG NVDA XOM GOOGL CVX WMT IBM UPS T JNJ AZO MCD EW BMY
2009-04-30 NVDA AAPL GOOG XOM F GOOGL UPS GS CVX IBM WMT MSFT T NFLX JNJ
2009-05-29 NVDA AAPL GOOG XOM BAC GOOGL UPS CVX GS IBM JNJ WMT MSFT T MS
2009-06-30 CAR BAC AAPL GOOG NVDA PALM GGP F XOM GS GOOGL MSFT JPM WFC IBM
2009-07-31 CAR BAC AAPL F PALM GOOG NVDA XOM GGP INTC EOG MSFT GS AN WBD
2009-08-31 BAC CAR AAPL PALM C F FNMA NVDA GOOG MSFT XOM GILD BKNG WBD BMY
2009-09-30 CAR AAPL PALM BAC NVDA GOOG BKNG GS MGM WBD GE UAL GOOGL EOG SNDK
2009-10-30 CAR SW GNW AAPL KMG GGP HIG BKNG UIS SNDK FCX DDS GOOG F PALM
2009-11-30 CAR KMG GGP AAPL GNW BKNG UIS DDS AMZN WFM SNDK FCX WLL GOOG CCI
2009-12-31 CAR GGP SANM AMD AAPL UIS UAL F NVDA WFM DDS WLL BKNG LULU MU
2010-01-29 CAR SANM F ACS GGP INCY AAPL UAL GNW SW LYV AMD FITB WLL ISRG
2010-02-26 CAR SANM UAL GNW ACS AAPL F GGP UIS AAL BAC WLL CLF LYV ASH
2010-03-31 SANM GNW F AAPL INCY ETFC MTG CLF UAL GGP LYV LULU WLL SMCI LVS
2010-04-30 UAL ETFC SANM GNW INCY AAPL CAR WLL LYV SSP MTG GGP VSTNQ BC MBI
2010-05-28 ETFC UAL AAPL NFLX SSP VSTNQ AAL BC DDS WLL INCY SANM LULU GGP ALK
2010-06-30 AAPL C ETFC GS T BBWI LLY VZ GOOG BMY MO BAC NFLX UAL UST
2010-07-30 AAPL ETFC WY UAL GS C AAL AIG NTAP CCU LVS F NFLX BBWI SBUX
2010-08-31 AAPL WY ETFC NEM NFLX GS GOOG CCU C T EC INTC BKNG BMY NVDA
2010-09-30 NVDA AAPL WY GOOG GOOGL GS ETFC GILD BLK INTC C JPM BKNG MSFT WFC
2010-10-29 ETFC NFLX LVS AAPL UAL BKNG AAL WLL VRTS FTNT CMG FFIV NTAP ACAS INCY
2010-11-30 ETFC LVS NFLX VRTS AAPL UAL CMG BKNG FFIV WLL TSLA ACAS DECK URI F
2010-12-31 ETFC VRTS LVS ACAS NFLX WLL URI AAPL NXPI LULU BKNG AIG BWA DECK RCL
2011-01-31 MAY ETFC AAPL NVDA LVS NFLX ACAS WLL URI VRTS AIG BKNG LULU WY BBWI
2011-02-28 MAY ETFC NVDA AAPL URI IPGP VIAV NXPI WY NFLX LULU VRTS LVS ACAS SWKS
2011-03-31 MAY AAPL ETFC URI IPGP NFLX NVDA WY WYNN LULU CAT VRTS ANDV BKNG ECHO
2011-04-29 MAY IPGP AAPL LULU ETFC NVDA BIIB WYNN NFLX BKNG BBWI CAT CHTR ULTA EP
2011-05-31 MAY IPGP AAPL NVDA NFLX EP BKNG ETFC ABMD DPZ GMCR WCG KSU COG WFM
2011-06-30 MAY IPGP EP LULU NFLX WCG COG ABMD BKNG ULTA AAPL CEPH FTNT MNST GMCR
2011-07-29 AAPL AIG GOOG NVDA GOOGL XOM MSFT KLAC TKO BAC NFLX COP INTC MRK CSCO
2011-08-31 AAPL AIG GOOG CF MSFT MDLZ VZ GOOGL IBM KMB XOM CL WYNN AZO JNJ
2011-09-30 AAPL GOOG AIG KMB CF IBM MDLZ VZ GOOGL XOM AZO UST DUK MSFT DLTR
2011-10-31 AAPL MAY GOOG AIG NVDA CF GOOGL KLAC VZ XOM DLTR IBM INTC AZO MSFT
2011-11-30 AAPL GOOG AIG VZ NVDA MAY GOOGL WYNN XOM INTC MSFT IBM PM DLTR GE
2011-12-30 AAPL GOOG GOOGL VZ MAY GE XOM PM CF MSFT WYNN PFE V NVDA MRK
2012-01-31 AAPL NVDA NFLX BAC GOOG HPQ GOOGL WYNN AMAT GE LRCX VZ XOM CF LUV
2012-02-29 AAPL BAC NFLX VRTX GOOG NVDA TMUS TEX GOOGL C VLO GE SCHW AVY NXPI
2012-03-30 AAPL BAC NFLX NVDA OMX EXPE VRTX BKNG SNV VLO STI NKTR JNS HCBK ODP
2012-04-30 AAPL EXPE GOOG BKNG WYNN GLW EOG PEG TPL HET GOOGL NVDA HAL TT GE
2012-05-31 AAPL OMX GOOG DXCM BKNG HET BAC NVDA GOOGL EOG HAL SPG FE EXPE MSFT
2012-06-29 AAPL EXPE BKNG STX MRK SHW NVDA SRE KMB SBAC SPG DG MNST CF WEC
2012-07-31 AAPL HAL GOOG NVDA GOOGL EXPE TMUS BKR BKNG BBBY EOG ETR XOM PPL MRK
2012-08-31 AAPL STX WYNN NVDA GOOG CAT BAC NTAP ANDV EXPE GOOGL XOM JPM MS NFLX
2012-09-28 PHM AAPL STX KBH BLDR ANDV DHI EXPE LEN LYB GILD GOOG REGN GPS TMUS
2012-10-31 AAPL NFLX GOOG STX VRTX GOOGL DHI BAC URI NCC NVDA ALL F GE AET
2012-11-30 PHM BBBY AAPL BLDR REGN WHR LPX KBH LEN STZ ANDV GILD MPC GNRC EXPE
2012-12-31 PHM LPX REGN BAC WHR STX AAPL BBBY KBH SW OMX GNRC NFLX VRTS CPAY
2013-01-31 OMX NFLX PHM LPX THC VRTS KBH MPC WHR BLDR APO STX SW BC VLO
2013-02-28 NFLX OMX VRTS APO LPX MPC THC PHM CPAY DAL VLO ANDV GILD SW HRB
2013-03-28 OMX NFLX VRTS KKR THC FNMA FMCC MPC LPX HRB KBH GILD ALK MTG DAL
2013-04-30 OMX FNMA NFLX FMCC MTG KKR VRTS THC GILD APO KBH BBBY CAR HRB FSLR
2013-05-31 FNMA FMCC OMX TSLA NFLX FSLR MTG VRTS BBBY KKR KBH STZ GILD PHM GOOG
2013-06-28 OMX FNMA TSLA FMCC BBBY MU NFLX KKR GOOG GME MTG REGN GILD MSFT WDC
2013-07-31 OMX TSLA FNMA FMCC BBBY MTG NFLX GME SVU MU GILD BAC REGN GNW GOOG
2013-08-30 OMX TSLA MTG META GME FNMA NFLX AAPL BBY BKNG FMCC MU FL BBBY AXON
2013-09-30 OMX TSLA META NFLX REGN MTG AXON MU KATE GT BKNG AAPL FL SVU DAL
2013-10-31 OMX TSLA FMCC FNMA META MU AAPL AXON FANG KATE BKNG MTG NFLX FL BBY
2013-11-29 OMX FNMA FMCC MU META NFLX AAPL INCY DAL TKO BKNG PBI IBKR TSLA MKTX
2013-12-31 FNMA FMCC META NFLX AAPL TSLA MU INCY KATE TKO URI WYNN HII RRD BKNG
2014-01-31 FNMA FMCC INCY TKO ILMN TSLA META MU AAPL NFLX AAL HII GOOG WYNN KATE
2014-02-28 FMCC FNMA TSLA ILMN META TKO AAPL AAL MU WYNN DXCM INCY FRX TPL GOOG
2014-03-31 TKO FMCC FNMA TSLA AAL ILMN AAPL DAL META RCL FANG HP MU URI FSLR
2014-04-30 TSLA FMCC FNMA MU AAPL FANG META DAL CAR SWKS FRX AAL NVDA HP NXPI
2014-05-30 META AAPL MU DAL AAL TPL FRX TSLA WLL LUV FANG SWKS TRGP NFLX AVGO
2014-06-30 META MU AAPL FANG AAL NFX TSLA FRX WLL NFLX DAL SWKS SMCI TRGP MMI
2014-07-31 META AAPL MU TPL SWKS FMCC LUV FNMA FRX FANG INTC NFX URI DAL UAA
2014-08-29 AAPL ENPH MMI MU CAR GILD LUV TPL SWKS META URI INTC NFX DAL FANG
2014-09-30 AAPL ENPH GILD LUV META SWKS TPL PANW MU SMCI NFLX AVGO LRCX RCL URI
2014-10-31 AAPL PANW MMI MU LUV ENPH GILD META EW SMCI SWKS AMGN ILMN AVGO GMCR
2014-11-28 PAYC AAPL PANW LUV SWKS META EW MNST SMCI MMI MU GMCR DAL TSLA ABBV
2014-12-31 AAPL SWKS AXON PANW LUV EA AAL RCL UAL EW DAL CNC MMI SMCI MNST
2015-01-30 AAPL SBUX GILD META KLAC GOOG T NVDA AMZN KR FMC RCL WEN BRK-B MRK
2015-02-27 AAPL SWKS PANW SBUX CNC EA KR MNST HSP SMCI LULU ON LUV AVGO BBWI
2015-03-31 AAPL SWKS CNC PANW MNST SBUX EA INCY KMG COR HSP KR CNXT SSP ANDV
2015-04-30 CZR AAPL SWKS BLDR PANW KMG NFLX PAYC HSP SBUX ABMD BTUUQ CNXT DXCM EPAM
2015-05-29 CNXT CZR BTUUQ SWKS AAPL AXON NFLX PANW KMG INCY ABMD SBUX CNC MMI PAYC
2015-06-30 AAPL GILD BTUUQ PLD BKNG NVDA KLAC META BAC MSFT GOOG TSLA WOR NFLX HAL
2015-07-31 AAPL GILD PLD BKNG META NVDA GOOG HBI KLAC SBUX GOOGL PODD GE SPG GS
2015-08-31 AAPL SBUX GILD NVDA CCI KLAC META GE V PSA SPG AMZN T BKNG NFLX
2015-09-30 AAPL SBUX NVDA GILD CCI KLAC PSA GE META SPG AMZN V BKNG COST T
2015-10-30 AAPL NVDA SBUX KLAC GILD CCI GE GOOG AMZN META PSA BKNG SPG V GOOGL
2015-11-30 AAPL GE AMAT GOOG META GILD BEN NVDA URI UAL BAC CCI ENDP BKNG NBL
2015-12-31 GE AAPL NVDA AMZN ABMD GOOG GOOGL META ATVI MSFT PSA GILD CCI NFLX MCD
2016-01-29 GE AAPL NVDA GOOG META MSFT PSA T GOOGL CCI ABMD MCD GILD AMZN V
2016-02-29 GE AAPL GOOG NVDA T META AMZN SPG GILD GOOGL VZ PSA MSFT TSN EBAY
2016-03-31 AAPL NVDA META GOOG GE T AMZN GOOGL TSN VZ PM MSFT PSA CZR CPGX
2016-04-29 AAPL FCX X CNX GOOG NAV URI EBAY SWN META CSX JOY GE GILD WLL
2016-05-31 AAPL SWN META JOY GOOG WLL NVDA DNR AMZN X MTCH AVP NXPI BG NAV
2016-06-30 NVDA X CLF OKE AMD CZR DLR META AWK AMZN ABMD MDR NEM T WB
2016-07-29 AAPL NVDA REGN STX GOOG META AMZN KMI APOL DHR GE BKNG GOOGL CMG WMB
2016-08-31 AMD WB NVDA X DHR SPGI AMZN CLF WPX AMAT META GEN MDR JOY NAV
2016-09-30 WB AMD NVDA X LITE DHR SPGI CLF AMZN WPX NAV AMAT JOY TPL META
2016-10-31 AAPL SPGI NVDA AMZN MWW BAC DHR META ANDV GILD WB TPL WFC SMCI UIS
2016-11-30 NVDA CLF FMCC X AMD FNMA WB TPL DHR STLD WPX CNX WOR NBR DXC
2016-12-30 NVDA CLF AMD X FMCC FNMA BAC TPL DHR SLM STLD CFG WPX ZION UIS
2017-01-31 NVDA FMCC FNMA CLF X AMD TPL URI CSX BAC TRGP NBR FCX WB CHTR
2017-02-28 AMD NVDA CLF X TTD CSX BAC AAPL URI HWM NAV ANET SLM RF DXC
2017-03-31 AMD NVDA X ANET BAC AAPL CSX URI MU NAV NRG KMG META DHR INCY
2017-04-28 NVDA AMD KMG X ANET AAPL ALGN IDXX DXC CSX LRCX AMAT MU BAC NAV
2017-05-31 NVDA KMG XYZ WB TTD AAPL MU TTWO TSLA ANET VEEV LRCX CSX X AMAT
2017-06-30 NVDA XYZ TSLA WB ANET ALGN CSX AAPL META TTWO LITE VRTX CVNA PAYC VEEV
2017-07-31 NVDA XYZ WB LITE ALGN NRG MU ANET VRTX TTWO BA TTD META AAPL PYPL
2017-08-31 NVDA WB TTWO NRG VRTX SEDG TPL XYZ ALGN BA ANET IPGP MU AAPL META
2017-09-29 NVDA WB BBBY TTWO XYZ MU SEDG IPGP BA NRG ANET MTW TTD LRCX ALGN
2017-10-31 BBBY NVDA XYZ MU ALGN MTW SEDG TTWO TTD IPGP ANET LRCX WB NRG AAPL
2017-11-30 ENPH BBBY NVDA XYZ MU ALGN SEDG ANET IPGP NRG AAPL TTWO META PYPL TWTR
2017-12-29 BBBY NVDA ENPH SEDG MU ANET FSLR XYZ NRG AAPL WB TWTR ALGN EC PENN
2018-01-31 BBBY NKTR NVDA MAY ANET XYZ EC MU WB ALGN SEDG TWTR BA NFLX PENN
2018-02-28 NKTR NVDA BBBY SEDG MU MTCH XYZ NFLX ENPH EC AMZN ANET BA TWTR ABBV
2018-03-29 NKTR NVDA MU AMZN META NXPI AAPL CMG QEP BKNG DXCM NBR ESV GOOG WLL
2018-04-30 NKTR NVDA MU AMZN HET ENPH META AAPL SEDG ETSY EC NFLX ANDV MTCH CMG
2018-05-31 MU NVDA NKTR META CCI AMZN GE EVHC AAPL MRVL REGN GOOG AXON THC RRC
2018-06-29 MU NVDA NWL AMZN REGN BBWI META KHC CCI NKTR NFLX GE AAPL TSLA TKO
2018-07-31 MU NVDA REGN AMZN META CCI HWM TKO GE GOOG AYI AAPL HET NFLX SCG
2018-08-31 HET CVNA TKO AMD TTD ENPH XYZ DXCM ETSY AMZN AXON LULU NVDA MOH ABMD
2018-09-28 AMD HET CCI WIN AMZN NVDA AAPL WNDXQ BBWI CAT META CAH CHTR NFLX PM
2018-10-31 CCI HET NVDA AMZN AAPL AVGO DXCM EXR SPG TSLA MSFT VZ META BEN AMD
2018-11-30 HET CCI AMZN EOG AMD AAPL ETSY TSLA MRK KDP TTD NFLX MKC MSFT MOS
2018-12-31 HET CCI AMZN EOG EXR AAPL NVDA BEN MRK MSFT VZ PSA T TSLA SPG
2019-01-31 HET AMZN FNMA CCI FMCC EOG AMD ENPH TTD NFLX ETSY META AAPL PAYC CIEN
2019-02-28 NVDA HET CCI AMZN EOG WDC AAPL MU MHK COTY CAR NFLX GE FLEX META
2019-03-29 HET TTD FNMA ENPH FMCC ETSY CMG AVP AMZN CVNA CDNS AMD EXR CCI ERIE
2019-04-30 HET TTD CVNA ENPH AMD QCOM AMZN AVP ETSY CDNS PAYC VEEV SNPS MSFT CCI
2019-05-31 HET CCI EXR AMZN NVDA AAPL JNJ MSFT LLY T GOOG LIN LMT PSA MTCH
2019-06-28 NVDA AMZN HET AAPL TSLA WDC MHK CCI MTW EXR NWL META VLO CVS WY
2019-07-31 HET ENPH TTD AVP AMZN MTCH AAPL SBUX PAYC VEEV CCI EXR MSFT MKTX CSGP
2019-08-30 NVDA HET AMZN AAPL TSLA EXR CCI WBA NWL BKNG META GOOG BMY KR JNJ
2019-09-30 NVDA TSLA HET CSCO AAPL AMZN CCI MPC EXR WBA BIIB GOOG VLO BMY KHC
2019-10-31 HET ENPH AVP AAPL BLDR SEDG GNRC KBH KLAC LRCX EXR CCI TSLA NVDA PHM
2019-11-29 HET AAPL NVDA AVP TSLA ENPH BLDR TGT AMD PODD LRCX KLAC TER LEG DXCM
2019-12-31 HET ENPH TSLA AAPL NVDA THC AMD SWKS CVNA AVP QRVO TER SEDG LRCX BMY
2020-01-31 HET TSLA ENPH AAPL NVDA AMD PAYC PODD TDG LM MSFT LLY FTNT QCOM SEDG
2020-02-28 HET TSLA CCI EXR NVDA AAPL LLY AMZN MSFT GOOG XRX JNJ T QCOM WHR
2020-03-31 TSLA NVDA EXR AAPL ENPH CCI AMZN GOOG MSFT GEN DXCM UST AMT KR NCC
2020-04-30 TSLA NVDA ENPH EXR AAPL AMZN CCI DXCM MSFT GOOG GEN AMT UST TE KR
2020-05-29 TSLA NVDA EXR ENPH AAPL AMZN CCI DXCM GOOG MSFT GEN AMT DDOG CLX WST
2020-06-30 TSLA NVDA AAPL CCI AMZN EXR MSFT BBBY AMT GOOG DDOG NEM ENPH ABBV DXCM
2020-07-31 BBBY TSLA NVDA AAPL AMZN ENPH MSFT XYZ NEM AMD META CCI DXCM SEDG WST
2020-08-31 BBBY TSLA NVDA AAPL AMD CVNA AMZN ENPH XYZ MRNA ETSY SEDG GNRC META NFLX
2020-09-30 TUP TSLA VIAC XRX EXR XEC AAPL NVDA IVZ PSKY SLM AMZN HAS PCG BBBY
2020-10-30 TUP TSLA GE VIAC EXR AAPL KSS NVDA XEC IVZ CXO ENPH PCG UA AMZN
2020-11-30 TUP COTY DVN OXY M XRX SPG WPX SLB AMZN PCG NVDA CCI AAPL XEC
2020-12-31 TSLA TUP ENPH MRNA GME CRWD BBBY PENN CLF ETSY NVDA XYZ AAPL CPRI TTD
2021-01-29 GME TSLA ENPH MRNA NVDA BBBY TUP ETSY AAPL CRWD NOW AMD SEDG EXR PENN
2021-02-26 GME TSLA VIAC TUP QEP WBD PSKY EXR DISCA DISCK FCX MRNA DVN TPL TPR
2021-03-31 GME TUP VIAC TSLA TPL DISCA DISCK QEP CAR DVN KSS CLF ANF CPRI PENN
2021-04-30 GME QEP CAR TUP TSLA BBWI NVDA DVN XEC LPX MRNA TPL FCX ANF MTW
2021-05-28 GME DDS NUE XEC DVN NVDA ANF FCX TSLA CAR RRD MTW TUP EXR BBWI
2021-06-30 GME MRNA NVDA DDS RRD ANF MDP ASO RRC MAC NAVI TSLA BX XEC MRO
2021-07-30 GME MRNA RRD NVDA DDS MDP BX FTNT NUE BBWI AAPL SBNY GOOG XEC MBI
2021-08-31 GME MRNA RRD DDS NVDA MDP SBNY KKR BX FTNT SIVB AMD NAVI XEC TSLA
2021-09-30 MRNA GME RRD RRC MDP NVDA CAR MRO TSLA DVN SBNY DDS KKR M IT
2021-10-29 GME CAR TSLA MRNA RRD NVDA MRO DDS DVN RRC KKR M JWN MDP AMD
2021-11-30 TSLA NVDA AMD AMZN MIR AAPL MRNA DDS WBD MU GME WFC COHR DVN GS
2021-12-31 RRD NVDA TSLA GME CAR BLDR MRO DVN ON F EXR AMD DDS ANET PFE
2022-01-31 NVDA RRD DVN TSLA MRO AAPL EXR EOG WFC COP CVX F XOM PFE AMD
2022-02-28 NVDA EXR DVN RRD AAPL TSLA CVX EOG WFC MRO XOM AMT COP WY MO
2022-03-31 NVDA TSLA RRD COP EXR DVN OXY CVX TRGP AAPL MOS MRO CF XOM EQT
2022-04-29 EXR AMT NVDA COP GILD TSLA CVX AAPL DVN T XOM CCI EOG EQT BMY
2022-05-31 EXR APA AMT NVDA VLO CCI XOM CVX EOG DVN T AAPL OXY EQT MRK
2022-06-30 EXR AMT APA NVDA CCI EOG XOM T VLO AAPL CVX BMY DVN MRK ABX
2022-07-29 EXR AMT APA NVDA TSLA CCI XOM AAPL DVN EOG VLO PSA CVX OXY T
2022-08-31 EXR DVN AMT TSLA CCI NVDA PSA AAPL CVX XOM MPC MCK COP OXY CF
2022-09-30 EXR DVN TSLA AMT CCI NVDA AAPL PSA MPC COP CVX XOM FHN EOG MCK
2022-10-31 EXR DVN AMT NVDA CCI AAPL CVX COP FHN PSA MPC XOM EOG MCK MRK
2022-11-30 UCL NVDA AAPL T EXR MPC BKNG XOM FSLR HES MRK FHN VLO CF ODP
2022-12-30 VLO BKNG MPC XOM T HES MRK NVDA CVX EXR ODP FHN COP GNW FTI
2023-01-31 UCL NVDA VLO EXR MPC BKNG T TSLA CCI HES XOM FHN AAPL CVX MRK
2023-02-28 TSLA NVDA EXR META WBD MOS ABNB CCI THC T AMD AAPL PSA SIVB MRVL
2023-03-31 TSLA NVDA UCL VLO EXR BKNG CCI AAPL MPC FSLR SMCI COTY PSX AXON META
2023-04-28 TSLA NVDA EXR AMT CCI AMZN VLO BAX PSA HAS CF ESS AAPL MO PSX
2023-05-31 NVDA EXR TSLA AMT CCI AAPL BKNG MSFT PSA AVGO META H GOOG LW MO
2023-06-30 SMCI NVDA CVNA RCL CCL TSLA VRT PLTR BLDR META UBER NFLX NCLH BKNG GE
2023-07-31 TSLA EXR NVDA CCI DVN CF MRO AMT MTCH CVNA CVS BKNG PYPL FIS WBA
2023-08-31 EXR TSLA CCI NVDA TPL MTCH AMT D OGN BKNG UAL AMGN DVN SBAC BLK
2023-09-29 EXR NVDA TSLA CCI BKNG MO BLK PSX AMT AAPL AMGN JPM SPG EMR CVX
2023-10-31 NVDA EXR CCI TSLA AMT META BLK AAPL VRT BKNG MO BRK-B AVGO EMR SPG
2023-11-30 NVDA EXR TSLA ANF META VRT COIN CRWD GPS BKNG CRM MSFT PHM CCI UBER
2023-12-29 CVNA COIN NVDA ANF GPS FNMA VRT CRWD APP UBER FMCC META TSLA RCL EXR
2024-01-31 SMCI NVDA ANF VRT CRWD FNMA CVNA ADCT FMCC META UBER ANET APP AVGO PANW
2024-02-29 SMCI NVDA CVNA ADCT ANF VRT GE CRWD COIN META UBER APP AMD VST DYN
2024-03-28 SMCI NVDA CVNA ADCT VRT ANF COIN VST GE GPS APP DYN FNMA WSM FMCC
2024-04-30 CVNA SMCI NVDA ADCT VRT ANF VST GE APP DYN COIN EME NRG CEG WSM
2024-05-31 NVDA CVNA ANF VST VRT SMCI APP CEG DELL COIN GPS FMCC NRG DYN HOOD
2024-06-28 NVDA ANF CVNA VST SMCI APP DYN VRT CEG DELL PANW AVGO HOOD COIN ANET
2024-07-31 NVDA LUMN CVNA ANF DYN EXR THC VST APP ANET COIN CEG KKR AMZN AVGO
2024-08-30 NVDA LUMN DYN CVNA ANF EXR THC PBI PLTR GDDY VST IRM FICO PANW MMM
2024-09-30 LUMN NVDA CVNA DYN APP VST EXR PLTR PBI THC CCI CEG GEV FICO AMT
2024-10-31 CVNA NVDA LUMN APP VST PLTR GEV EXR UAL COHR LB FICO TPL CEG META
2024-11-29 APP CVNA LUMN NVDA PLTR FMCC TPL FNMA VST TSLA HOOD UAL AXON EXR CCL
2024-12-31 NVDA TSLA CCI EXR WYNN WDAY AAP PLTR BA DG TRIP LUMN LULU AMZN APP
2025-01-31 APP FMCC FNMA PLTR HOOD TSLA CVNA NVDA VST UAL AXON TPR IBKR LUMN ALK
2025-02-28 NVDA CCI TSLA PLTR EXR WYNN INTC DXCM DG AMT KSS WBA WDAY AAPL LU
2025-03-31 NVDA EXR NEM AMT PFE BLK MO BRK-B F T AAPL VZ TSLA AZO META
2025-04-30 NVDA EXR AMT NEM FNMA VRSN CNP PM PLTR BRK-B F TSLA PFE CME MO
2025-05-30 PLTR NVDA FNMA TSLA HOOD NEM FMCC GILD PM NFLX GEV AXON UBER F CAH
2025-06-30 NVDA TSLA HOOD MRVL SMCI TER AMAT DHI AMD WDC ILMN CNXT CAR COIN PHM
2025-07-31 NVDA TSLA HOOD ANF TTD AAL CNXT AMD KSS MRVL HAL LUMN WDC M TGT
2025-08-29 NVDA REGN HOOD TSLA UNH EXR AAL HPQ MRK SWKS FL NWL BBY HP LEN
2025-09-30 FNMA FMCC HOOD APP WDC PLTR STX NVDA LITE ECHO TSLA CIEN WBD NEM AVGO
2025-10-31 NVDA MU EXR UNH UPS DYN AAL HBI HP REGN ODP PCG CRM MRVL HPQ
2025-11-28 NVDA MU EXR UNH ANF EIX TSLA GIS PCG COO ODP GOOG HOOD GME VFC
2025-12-31 NVDA LULU GILD EXR TSLA CRM TGT MU ACN UNH ALGN DECK AMT OKE ENPH
2026-01-30 TE MU WDC ECHO LITE STX LRCX WBD NEM CIEN ALB GILD NVDA NKTR TER
2026-02-27 LITE WDC MU CIEN TE STX COHR TER GLW LRCX FIX ECHO VIAV GILD WBD
2026-03-31 LITE NVDA MU CCI WDC EXR GILD CIEN APA GOOG FTI CF LYB DOW XOM
2026-04-30 NVDA CCI MU EXR GILD KVUE INTC LITE MSFT AMT HPQ GME KMB NWL WHR
2026-05-29 MU NVDA CCI EXR GILD ORCL NOW PAYC INTC XRX HOOD MSFT AMD AMT ADBE
2026-06-26 MU WDC INTC STX MRVL LITE AMD DELL CIEN VIAV AMAT LRCX GLW TE TER
Scoring script (python)
FORMULA_NAME = "Contrarian 52-Week Regime Momentum Hybrid (Conflict-Arbitrated Relay, v1174)"
LOGIC_VARIANT_COUNT = 4
NOTES = """mode=explore; family=contrarian-52w-regime-momentum-hybrid
New hybrid family built as a conflict-arbitrated relay instead of a static blend: every stock competes through three sleeves, a deep-52-week contrarian repair sleeve, a trend-confirmed momentum sleeve, and a durability sleeve, and the regime branch decides which sleeve is allowed to dominate when those signals disagree. The arbitration is explicit: broken drawdowns are rejected unless repair evidence is present, momentum leaders are taxed when they are too extended or low-quality, and fractured tapes route toward whichever sleeve has the stronger case only if durability confirms it.
Deliberate metric coverage this run: active momentum uses return_1m_pct, return_3m_pct, return_6m_pct, return_12m_pct, and momentum_12_1_pct; trend/recovery uses both from_200d_ma_pct and from_52w_high_pct; volatility uses realized_vol_3m; liquidity uses avg_daily_volume_3m, avg_daily_dollar_volume_3m, and trading_days_3m; income uses dividend_yield_ttm_pct and dividend_ttm; valuation uses pe, forward_pe, and peg; growth uses eps_growth_pct, revenue_growth_pct, operating_income_growth_pct, free_cash_flow_growth_pct, and forward_eps; quality uses operating_margin_pct and free_cash_flow_margin_pct; size uses market_cap only as a regime/gate tilt rather than a raw rank. Deliberate weight-0 metrics this run: shares_outstanding, close, adj_close, high_52w, ma_200d, eps_ttm, revenue_ttm, operating_income_ttm, and free_cash_flow_ttm. Sparse fundamentals are normalized by present weight inside each sleeve so missing fields do not mechanically dominate selection."""

ACTIVE_METRICS = (
    "return_1m_pct",
    "return_3m_pct",
    "return_6m_pct",
    "return_12m_pct",
    "momentum_12_1_pct",
    "from_200d_ma_pct",
    "from_52w_high_pct",
    "realized_vol_3m",
    "avg_daily_volume_3m",
    "avg_daily_dollar_volume_3m",
    "trading_days_3m",
    "dividend_yield_ttm_pct",
    "dividend_ttm",
    "pe",
    "forward_pe",
    "peg",
    "eps_growth_pct",
    "revenue_growth_pct",
    "operating_income_growth_pct",
    "free_cash_flow_growth_pct",
    "forward_eps",
    "operating_margin_pct",
    "free_cash_flow_margin_pct",
)

CONTRARIAN_WEIGHTS = {
    "from_52w_high_pct": (0.24, -1),
    "from_200d_ma_pct": (0.10, -1),
    "return_12m_pct": (0.13, -1),
    "return_1m_pct": (0.10, 1),
    "return_3m_pct": (0.08, 1),
    "momentum_12_1_pct": (0.06, 1),
    "realized_vol_3m": (0.06, -1),
    "avg_daily_dollar_volume_3m": (0.04, 1),
    "trading_days_3m": (0.03, 1),
    "pe": (0.04, -1),
    "forward_pe": (0.03, -1),
    "peg": (0.03, -1),
    "eps_growth_pct": (0.02, 1),
    "revenue_growth_pct": (0.01, 1),
    "operating_income_growth_pct": (0.01, 1),
    "free_cash_flow_growth_pct": (0.01, 1),
    "forward_eps": (0.01, 1),
}

MOMENTUM_WEIGHTS = {
    "momentum_12_1_pct": (0.24, 1),
    "return_6m_pct": (0.20, 1),
    "return_3m_pct": (0.12, 1),
    "return_1m_pct": (0.06, 1),
    "return_12m_pct": (0.06, 1),
    "from_200d_ma_pct": (0.11, 1),
    "from_52w_high_pct": (0.08, 1),
    "realized_vol_3m": (0.04, -1),
    "avg_daily_volume_3m": (0.03, 1),
    "avg_daily_dollar_volume_3m": (0.03, 1),
    "trading_days_3m": (0.02, 1),
    "eps_growth_pct": (0.03, 1),
    "revenue_growth_pct": (0.02, 1),
    "operating_income_growth_pct": (0.02, 1),
    "free_cash_flow_growth_pct": (0.02, 1),
    "forward_eps": (0.02, 1),
    "operating_margin_pct": (0.02, 1),
}

DURABILITY_WEIGHTS = {
    "realized_vol_3m": (0.14, -1),
    "operating_margin_pct": (0.13, 1),
    "free_cash_flow_margin_pct": (0.13, 1),
    "dividend_yield_ttm_pct": (0.09, 1),
    "dividend_ttm": (0.05, 1),
    "pe": (0.05, -1),
    "forward_pe": (0.05, -1),
    "peg": (0.04, -1),
    "avg_daily_volume_3m": (0.05, 1),
    "avg_daily_dollar_volume_3m": (0.05, 1),
    "trading_days_3m": (0.03, 1),
    "eps_growth_pct": (0.04, 1),
    "revenue_growth_pct": (0.03, 1),
    "operating_income_growth_pct": (0.03, 1),
    "free_cash_flow_growth_pct": (0.03, 1),
    "forward_eps": (0.03, 1),
    "from_200d_ma_pct": (0.02, 1),
    "return_12m_pct": (0.02, 1),
}

def _value(row, key):
    return row.get(key)

def _weighted_z(symbol, z_cache, weights):
    total = 0.0
    present = 0.0
    for metric, spec in weights.items():
        weight = spec[0]
        direction = spec[1]
        zmap = z_cache.get(metric)
        if zmap is None:
            continue
        val = zmap.get(symbol)
        if val is None:
            continue
        total += weight * direction * val
        present += weight
    if present <= 0.0:
        return 0.0
    return total / present

def _branch(regime):
    breadth = regime.get("breadth")
    vol = regime.get("avg_realized_vol_3m")
    median_mom = regime.get("median_momentum_12_1_pct")
    median_trend = regime.get("median_from_200d_ma_pct")
    bull = regime.get("bull")

    breadth = 0.5 if breadth is None else breadth
    vol = 28.0 if vol is None else vol
    median_mom = 0.0 if median_mom is None else median_mom
    median_trend = 0.0 if median_trend is None else median_trend
    bull = bool(bull)

    if (not bull and (breadth < 0.47 or vol > 37.0)) or vol > 44.0:
        return "risk_off"
    if bull and breadth >= 0.62 and median_mom >= 4.0 and median_trend >= 1.5:
        return "leader"
    if breadth >= 0.50 and median_mom > -3.0 and median_trend > -8.0:
        return "repair"
    return "fracture"

def score_universe(stocks, regime, ctx):
    z_cache = {}
    for metric in ACTIVE_METRICS:
        z_cache[metric] = ctx.z(metric)

    branch = _branch(regime)
    scores = {}

    for row in stocks:
        symbol = row["symbol"]

        contrarian = _weighted_z(symbol, z_cache, CONTRARIAN_WEIGHTS)
        momentum = _weighted_z(symbol, z_cache, MOMENTUM_WEIGHTS)
        durability = _weighted_z(symbol, z_cache, DURABILITY_WEIGHTS)

        from_52w = _value(row, "from_52w_high_pct")
        from_200d = _value(row, "from_200d_ma_pct")
        ret_1m = _value(row, "return_1m_pct")
        ret_3m = _value(row, "return_3m_pct")
        ret_6m = _value(row, "return_6m_pct")
        mom_12_1 = _value(row, "momentum_12_1_pct")
        vol = _value(row, "realized_vol_3m")
        trading_days = _value(row, "trading_days_3m")
        dollar_vol = _value(row, "avg_daily_dollar_volume_3m")
        div_yield = _value(row, "dividend_yield_ttm_pct")
        div_cash = _value(row, "dividend_ttm")
        market_cap = _value(row, "market_cap")
        op_margin = _value(row, "operating_margin_pct")
        fcf_margin = _value(row, "free_cash_flow_margin_pct")

        deep_drawdown = from_52w is not None and from_52w <= -25.0
        washed_out = from_52w is not None and from_52w <= -38.0
        catastrophic = (
            (from_52w is not None and from_52w <= -58.0) or
            (from_200d is not None and from_200d <= -30.0)
        )

        repair_ready = (
            deep_drawdown and
            ret_1m is not None and ret_1m > 0.5 and
            ret_3m is not None and ret_3m > -3.0 and
            from_200d is not None and from_200d > -18.0
        )

        leader_ready = (
            ret_6m is not None and ret_6m > 8.0 and
            mom_12_1 is not None and mom_12_1 > 3.0 and
            from_200d is not None and from_200d > 0.0
        )

        liquid = (
            trading_days is not None and trading_days >= 55 and
            dollar_vol is not None and dollar_vol >= 3000000.0
        )

        quality_ok = (
            ((op_margin is not None and op_margin > 4.0) or
             (fcf_margin is not None and fcf_margin > 2.0))
        )

        income_ok = (
            (div_yield is not None and div_yield > 0.6) or
            (div_cash is not None and div_cash > 0.0)
        )

        mega_cap = market_cap is not None and market_cap >= 120000000000.0
        large_cap = market_cap is not None and market_cap >= 20000000000.0

        disagreement = contrarian - momentum
        disagreement_penalty = 0.10 * abs(disagreement)

        repair_bonus = 0.0
        if repair_ready:
            repair_bonus += 0.18
        if washed_out and quality_ok:
            repair_bonus += 0.10
        if catastrophic and not quality_ok:
            repair_bonus -= 0.26
        if not liquid:
            repair_bonus -= 0.08

        leader_bonus = 0.0
        if leader_ready:
            leader_bonus += 0.16
        if quality_ok:
            leader_bonus += 0.06
        if from_52w is not None and from_52w > -2.0:
            leader_bonus -= 0.10
        if vol is not None and vol > 42.0:
            leader_bonus -= 0.12

        durability_bonus = 0.0
        if income_ok:
            durability_bonus += 0.07
        if large_cap:
            durability_bonus += 0.04
        if mega_cap:
            durability_bonus += 0.02
        if not liquid:
            durability_bonus -= 0.10

        if branch == "leader":
            score = (
                0.62 * momentum +
                0.21 * durability +
                0.17 * contrarian +
                leader_bonus +
                (0.08 if leader_ready and quality_ok else 0.0) +
                (0.05 if repair_ready and momentum > 0.25 else 0.0) -
                (0.12 if deep_drawdown and not repair_ready else 0.0) -
                0.70 * disagreement_penalty
            )
        elif branch == "repair":
            score = (
                0.50 * contrarian +
                0.28 * durability +
                0.22 * momentum +
                repair_bonus +
                (0.07 if repair_ready and quality_ok else 0.0) +
                (0.04 if washed_out and income_ok else 0.0) -
                (0.10 if leader_ready and from_52w is not None and from_52w > -5.0 else 0.0) -
                0.55 * disagreement_penalty
            )
        elif branch == "risk_off":
            score = (
                0.56 * durability +
                0.24 * momentum +
                0.20 * contrarian +
                durability_bonus +
                (0.06 if quality_ok and income_ok else 0.0) -
                (0.18 if washed_out and not repair_ready else 0.0) -
                (0.10 if vol is not None and vol > 40.0 else 0.0) -
                0.45 * disagreement_penalty
            )
        else:
            relay_bonus = 0.0
            if disagreement > 0.45 and repair_ready:
                relay_bonus += 0.10
            elif disagreement < -0.45 and leader_ready:
                relay_bonus += 0.10
            elif abs(disagreement) <= 0.20 and quality_ok:
                relay_bonus += 0.08

            score = (
                0.36 * contrarian +
                0.36 * momentum +
                0.28 * durability +
                relay_bonus +
                (0.05 if liquid and quality_ok else 0.0) -
                (0.14 if washed_out and not repair_ready else 0.0) -
                (0.10 if leader_ready and deep_drawdown and not quality_ok else 0.0) -
                0.80 * disagreement_penalty
            )

        scores[symbol] = score

    return scores