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@st_mo2x: عـــلاج قـــســوه الـقــلـب #الشيخ_سمير_مصطفي #توبه #viral #علاج_قسوة_القلب

كُـــن قــويــاً 📌
كُـــن قــويــاً 📌
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Region: EG
Sunday 08 November 2026 11:17:15 GMT
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kholod_hany
kholod_hany :
والله ما لك غيرالله من احد
2026-11-08 14:41:54
0
st_mo2x
كُـــن قــويــاً 📌 :
2026-11-08 11:25:12
2
ahmed_amer_skhail
أحَـمـَد|١٤٢٦ه‍ :
اليوم محاكمة الشيخ سمير مصطفى والشيخ محمود شعبان فرج الله كربهم لا تنسوهم من صالح
2026-11-09 03:57:22
0
ahmed_amer_skhail
أحَـمـَد|١٤٢٦ه‍ :
اليوم محاكمة الشيخ سمير مصطفى والشيخ محمود شعبان فرج الله كربهم لا تنسوهم من صالح الدعاء
2026-11-09 03:58:13
0
abdo201142
Abdo💯👑 :
[Red heart][Red heart][Red heart]
2026-11-08 11:22:44
1
mo82049
الmo :
❤️❤️❤️
2026-11-08 18:20:50
0
mohamed_dash1
Mohamed Saadeldeen. :
...
2026-11-08 20:06:35
0
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I need the other colors now
I need the other colors now
جمعة مباركة #جمعة_مباركة #كسكس #الشعب_الصيني_ماله_حل😂😂 #المغرب🇲🇦تونس🇹🇳الجزائر🇩🇿 #explor
جمعة مباركة #جمعة_مباركة #كسكس #الشعب_الصيني_ماله_حل😂😂 #المغرب🇲🇦تونس🇹🇳الجزائر🇩🇿 #explor
Boracay tayo, ano tara? 🏝️✨ We stayed at Sir G Hotel Boracay by RedDoorz, and nasa loob mismo siya ng D’Mall 👀 Super convenient kasi steps away ka lang sa food spots, shops, and just a short walk to White Beach 🤍 Clean, comfy, and perfect for a sulit Boracay stay without the hassle 🙌 So ano na Redkada? Book mo na to! Stay at Sir G Hotel at Boracay and use my Discount: TARAREDKADA❤️ See you sa Boracay! #RedDoorzPH #RedKada #Boracay #fypシ゚ #trending
Boracay tayo, ano tara? 🏝️✨ We stayed at Sir G Hotel Boracay by RedDoorz, and nasa loob mismo siya ng D’Mall 👀 Super convenient kasi steps away ka lang sa food spots, shops, and just a short walk to White Beach 🤍 Clean, comfy, and perfect for a sulit Boracay stay without the hassle 🙌 So ano na Redkada? Book mo na to! Stay at Sir G Hotel at Boracay and use my Discount: TARAREDKADA❤️ See you sa Boracay! #RedDoorzPH #RedKada #Boracay #fypシ゚ #trending
#CapCutAmor
#CapCutAmor
➡️ Quantitative Finance from Scratch, part 45: Statistical Arbitrage. The arbitrage from the last part was a profit without any risk. Statistical arbitrage is the practical version: many small bets that can each lose, but win on average. One of the best known and simplest forms is pairs trading: two stocks in the same business that move together. The gap between them, the spread = P_A − β · P_B (P_A price of stock A, P_B price of stock B, β the hedge ratio), keeps coming back to its average. That is the edge: the trade treats this return almost like a law, so the further the spread moves away, the more it should come back, and that way back is the profit. The rule: z = (spread − average) / standard deviation. When z reaches +2 or −2, you sell the expensive stock, buy the cheap one, and close both when the gap is back at its average. Because one stock is long and the other short, a move of the whole market mostly cancels out. News about one company can still hit a single pair, so funds make many such trades at once, and the surprises average out. The big risks: the link between two stocks can break for good, for example after a merger, and when many funds hold the same trades, they can all lose at once. The code (statarb_reel.py, 16 lines of plain Python without packages) is general on purpose: the spread from two prices and the hedge ratio, the z score, and the signal that sells the expensive stock and buys the cheap one at two standard deviations and closes at the average. If you want to go deeper, the link to my website is in my bio. #quantfinance #statisticalarbitrage #pairstrading #meanreversion #python Education only, not financial advice.
➡️ Quantitative Finance from Scratch, part 45: Statistical Arbitrage. The arbitrage from the last part was a profit without any risk. Statistical arbitrage is the practical version: many small bets that can each lose, but win on average. One of the best known and simplest forms is pairs trading: two stocks in the same business that move together. The gap between them, the spread = P_A − β · P_B (P_A price of stock A, P_B price of stock B, β the hedge ratio), keeps coming back to its average. That is the edge: the trade treats this return almost like a law, so the further the spread moves away, the more it should come back, and that way back is the profit. The rule: z = (spread − average) / standard deviation. When z reaches +2 or −2, you sell the expensive stock, buy the cheap one, and close both when the gap is back at its average. Because one stock is long and the other short, a move of the whole market mostly cancels out. News about one company can still hit a single pair, so funds make many such trades at once, and the surprises average out. The big risks: the link between two stocks can break for good, for example after a merger, and when many funds hold the same trades, they can all lose at once. The code (statarb_reel.py, 16 lines of plain Python without packages) is general on purpose: the spread from two prices and the hedge ratio, the z score, and the signal that sells the expensive stock and buys the cheap one at two standard deviations and closes at the average. If you want to go deeper, the link to my website is in my bio. #quantfinance #statisticalarbitrage #pairstrading #meanreversion #python Education only, not financial advice.
@Gabriel gogumap #meme #theodore #gabrielgogumap #shitpost #virale
@Gabriel gogumap #meme #theodore #gabrielgogumap #shitpost #virale

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