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@mychocoalbab: Rising Star ##risingstar #aasia #chocoalbab #trending #tiktokmalaysia

Choco Albab MY
Choco Albab MY
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Saturday 01 August 2026 03:34:32 GMT
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ciklady9
Nekma Choco :
🥰🥰🥰wowwww
2026-08-01 09:59:19
0
sangmentari955
Sang Mentari955 :
terrrbaaiiiikkk choco Albab 🔥🔥🔥🥰🥰🥰
2026-08-02 04:25:02
0
rahmah.ahmad61
RAHMAH AHMAD :
2026-08-02 09:43:35
0
hasmawati1907
Asma Racun Online :
wao
2026-08-02 05:14:07
0
aqil.khai4
Mom's 4 NurMuhammad :
Choca albab ni syarikat cina org mamak ke?
2026-08-02 11:23:16
0
aziyah_hussin
Azie' shop :
👍👍👍
2026-08-10 08:37:34
0
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Cherchez une femme qui connaît la valeur de l’argent, respecte vos efforts et partage vos ambitions. ❤️💰 #motivation #Couple #ambition #relations #fy
Cherchez une femme qui connaît la valeur de l’argent, respecte vos efforts et partage vos ambitions. ❤️💰 #motivation #Couple #ambition #relations #fy


Walk-forward backtest optimization tested on 16 years of E-mini S&P 500 futures data. We optimized three strategies on a rolling 2-year window, then traded the chosen settings blind on the next 6 months, and rolled that forward 28 times each. Donchian breakout, moving average crossover and Connors RSI2. 138 parameter combinations, re-selected at every step. In training the selected settings made $1,458,122. Out of sample the same settings lost $604,740. That is a pooled out-of-sample to in-sample ratio of -0.41, in all three strategy families. The edge did not shrink, it inverted. The part we did not expect: for every fold we also scored a parameter set picked at random from the same grid. Across 84 paired tests the optimized choice lost to the random one by about $5,067 a fold (paired t-test p = 0.027), and lost to the grid median by $5,486 (p = 0.0003). Optimizing did worse than not bothering. Costs were measured, not assumed. 73,737,856 real top-of-book quotes across 16 days spread over 2010 to 2025 give a 0.2606 point average spread and a $13.03 round turn. At double that cost the ratio is -0.44. 7 of 15 years were positive, so this is not one bad year, and buy and hold made $310,148 over the same windows and beat all of it. Validation label: walk-forward out of sample, no evidence of exploitable edge. The 5.6 million minute bars and the 73.7 million quotes behind this are included with QuantPad. No vendor account, no CSV hunting. #QuantPad #backtesting #algotrading #quanttrading #futurestrading
Walk-forward backtest optimization tested on 16 years of E-mini S&P 500 futures data. We optimized three strategies on a rolling 2-year window, then traded the chosen settings blind on the next 6 months, and rolled that forward 28 times each. Donchian breakout, moving average crossover and Connors RSI2. 138 parameter combinations, re-selected at every step. In training the selected settings made $1,458,122. Out of sample the same settings lost $604,740. That is a pooled out-of-sample to in-sample ratio of -0.41, in all three strategy families. The edge did not shrink, it inverted. The part we did not expect: for every fold we also scored a parameter set picked at random from the same grid. Across 84 paired tests the optimized choice lost to the random one by about $5,067 a fold (paired t-test p = 0.027), and lost to the grid median by $5,486 (p = 0.0003). Optimizing did worse than not bothering. Costs were measured, not assumed. 73,737,856 real top-of-book quotes across 16 days spread over 2010 to 2025 give a 0.2606 point average spread and a $13.03 round turn. At double that cost the ratio is -0.44. 7 of 15 years were positive, so this is not one bad year, and buy and hold made $310,148 over the same windows and beat all of it. Validation label: walk-forward out of sample, no evidence of exploitable edge. The 5.6 million minute bars and the 73.7 million quotes behind this are included with QuantPad. No vendor account, no CSV hunting. #QuantPad #backtesting #algotrading #quanttrading #futurestrading
الحلول كلها وا الاسرع اكككيد #تسديد قروض تمويل الطايف تمويلك_بدون_كفيل #سداد متعثرات#تمويل_فوري_سريع 🔥 تمويل جاهز وبأقل الشروط 🔥 هالفئات لهم الأولوية 👇 ✅ الضمان الاجتماعي ✅ حساب المواطن ✅ موظفي القطاع الخاص ✅ المتقاعدين بدون كفيل، بدون تعقيد 💰 قدّم الحين وشوف كم يطلع لك 💸 #تمويل_سريع #دعم_مالي #السعودية #بدون_كفيل #تمويل_فوري_تمويل_شركات_مؤسسات_سريع
الحلول كلها وا الاسرع اكككيد #تسديد قروض تمويل الطايف تمويلك_بدون_كفيل #سداد متعثرات#تمويل_فوري_سريع 🔥 تمويل جاهز وبأقل الشروط 🔥 هالفئات لهم الأولوية 👇 ✅ الضمان الاجتماعي ✅ حساب المواطن ✅ موظفي القطاع الخاص ✅ المتقاعدين بدون كفيل، بدون تعقيد 💰 قدّم الحين وشوف كم يطلع لك 💸 #تمويل_سريع #دعم_مالي #السعودية #بدون_كفيل #تمويل_فوري_تمويل_شركات_مؤسسات_سريع
#fyp #masukberanda #slidefoto #foryou #ultahku
#fyp #masukberanda #slidefoto #foryou #ultahku
المنتقم 👆🔥#داتش_فاندر_لاند #ارثر_مورقن #ريدديدريدمبشن2 #reddeadredemption2
المنتقم 👆🔥#داتش_فاندر_لاند #ارثر_مورقن #ريدديدريدمبشن2 #reddeadredemption2

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