@one_saided_love0: @:تیرے نا ہونے کا ملال ایک طرف تو کیوں نہ ملا یہ سوال ایک طرف یقین مان میں بہت خوش ہوں لیکن جب تم ساتھ تھے وہ دن، وہ مہینے وہ سال ایک طرف#viwesproblem😌🙏💔 #one_saided_love💔😞

𝑨𝒕𝒊𝒊𝒊..♡︎

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꧁•⊹٭👑Eانت الحیات٭⊹•꧂ :

insha'Allah zaror Mila ga🥹

2026-11-02 14:06:02

1

ᖇᒍ ʜʏᴅᴇʀᴀʙᴀᴅɪ :

ᒪIᑎᗴ'Տ🪽🫠❤️‍🩹

2026-11-01 17:31:01

1

♛ 𝓐 ♛ :

2026-11-01 17:16:37

1

👑💓RAJO💓👑 :

🥀جن کا ملنا مقدر م نا ھو" ٫انسے محبت کمال کی ھوتی ھے 💔

2026-11-02 03:30:45

0

Awara Munda🙌 :

[Red heart][Red heart][Red heart]

2026-11-01 17:15:33

1

AssaD :

❣️❣️❣️

2026-11-01 17:12:30

1

H143S :

🖤🖤🖤

2026-11-02 06:25:19

0

♥️ʜᴀᴍɪᴅ ᴋʜᴀɴ♛ :

🥰🥰🥰

2026-11-02 07:25:08

0

👻Kａｓｈu👻 :

😳😳😳

2026-11-01 17:20:27

1

AA@@🍁🍁 :

[Exclaim heart][Exclaim heart][Exclaim heart]

2026-11-01 17:43:05

0

🥺 SAD 😭 BOY 😔 :

🥺🥺🥺

2026-11-02 07:32:22

0

umer.....👀 :

🫀

2026-11-01 17:15:11

1

Majid shb :

❤️❤️

2026-11-02 12:07:01

0

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Such a great bundle from @Freezbone great for your dog’s enrichment and mental stimulation! Love that you get the treats in this set too! #freezbone #dogtreats #dogenrichment #TiktokShopBlackFriday #DiscoverYourGift

Such a great bundle from @Freezbone great for your dog’s enrichment and mental stimulation! Love that you get the treats in this set too! #freezbone #dogtreats #dogenrichment #TiktokShopBlackFriday #DiscoverYourGift

They can do it🎓#university #school #study #dream

They can do it🎓#university #school #study #dream

⁨ احنا بنشتغل ليه ؟ ﴿هُوَ الَّذِي جَعَلَ لَكُمُ الْأَرْضَ ذَلُولًا فَامْشُوا فِي مَنَاكِبِهَا وَكُلُوا مِنْ رِزْقِهِ وَإِلَيْهِ النُّشُورُ﴾⁩

⁨ احنا بنشتغل ليه ؟ ﴿هُوَ الَّذِي جَعَلَ لَكُمُ الْأَرْضَ ذَلُولًا فَامْشُوا فِي مَنَاكِبِهَا وَكُلُوا مِنْ رِزْقِهِ وَإِلَيْهِ النُّشُورُ﴾⁩

Alpha decay backtest: five published S&P trading edges tested on 15 years of E-mini S&P and Nasdaq futures, and a rule for when to stop trading one A viewer asked what alpha decay looks like on real data. McLean and Pontiff (Journal of Finance, 2016) found that published stock predictors earn 58% less after publication. I tested five famous S&P edges on one-minute ES and NQ data from 2011 to 2025, one contract, $16.50 a round turn: the pre-FOMC drift, the turn of the month, the overnight drift, intraday momentum and the Monday effect. Two died. Shorting Mondays made +$12 a trade in 2011-2015 and -$335 a trade in 2021-2025, -$88,800 on ES since 2011 (on NQ it went -$30, -$224, then -$567 a trade). Intraday momentum got worse every five years. The pre-FOMC drift did the opposite of decay: it lost before 2015 and made almost all its money after. Then a stop rule: bench any edge whose net over the last 1, 2, 3 or 5 years is negative. Walked forward (expanding by year from 2015, rule picked on past years only), it made $161,616 on ES and NQ against $26,217 for trading every edge. But it also benched the overnight drift in 2024, its best S&P year (+$46,095), and 884 of 1,000 random schedules that benched the same number of years did better. It found the dead edges; its timing was worse than random. Takeaway: kill an edge that keeps losing for years. Don't bench one for a bad year. Not tested: other markets, other edges, monthly or shorter checks. Every check setting beat trading everything on both markets; at $33 a trade the overnight drift still made $53,474. I built this in QuantPad. It has every trade on the CME since 2010. Link in bio. #QuantPad #backtesting #quanttrading #futurestrading #algotrading

Alpha decay backtest: five published S&P trading edges tested on 15 years of E-mini S&P and Nasdaq futures, and a rule for when to stop trading one A viewer asked what alpha decay looks like on real data. McLean and Pontiff (Journal of Finance, 2016) found that published stock predictors earn 58% less after publication. I tested five famous S&P edges on one-minute ES and NQ data from 2011 to 2025, one contract, $16.50 a round turn: the pre-FOMC drift, the turn of the month, the overnight drift, intraday momentum and the Monday effect. Two died. Shorting Mondays made +$12 a trade in 2011-2015 and -$335 a trade in 2021-2025, -$88,800 on ES since 2011 (on NQ it went -$30, -$224, then -$567 a trade). Intraday momentum got worse every five years. The pre-FOMC drift did the opposite of decay: it lost before 2015 and made almost all its money after. Then a stop rule: bench any edge whose net over the last 1, 2, 3 or 5 years is negative. Walked forward (expanding by year from 2015, rule picked on past years only), it made $161,616 on ES and NQ against $26,217 for trading every edge. But it also benched the overnight drift in 2024, its best S&P year (+$46,095), and 884 of 1,000 random schedules that benched the same number of years did better. It found the dead edges; its timing was worse than random. Takeaway: kill an edge that keeps losing for years. Don't bench one for a bad year. Not tested: other markets, other edges, monthly or shorter checks. Every check setting beat trading everything on both markets; at $33 a trade the overnight drift still made $53,474. I built this in QuantPad. It has every trade on the CME since 2010. Link in bio. #QuantPad #backtesting #quanttrading #futurestrading #algotrading

live that dream 🤓 #operator_excavator #excavatoroperator #bluecollarlife

live that dream 🤓 #operator_excavator #excavatoroperator #bluecollarlife

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