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Sunday 17 May 2026 14:39:58 GMT
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من سورة الكهف | الشيخ محمد صديق المنشاوي. الْحَمْدُ لِلَّهِ الَّذِي أَنزَلَ عَلَىٰ عَبْدِهِ الْكِتَابَ وَلَمْ يَجْعَل لَّهُ عِوَجًا ۜ (1) قَيِّمًا لِّيُنذِرَ بَأْسًا شَدِيدًا مِّن لَّدُنْهُ وَيُبَشِّرَ الْمُؤْمِنِينَ الَّذِينَ يَعْمَلُونَ الصَّالِحَاتِ أَنَّ لَهُمْ أَجْرًا حَسَنًا. . . . . . #سورة_الكهف #المنشاوي #قرآن #محمد_صديق_المنشاوي_القرآن_الكريم #محمد_صديق_المنشاوي
من سورة الكهف | الشيخ محمد صديق المنشاوي. الْحَمْدُ لِلَّهِ الَّذِي أَنزَلَ عَلَىٰ عَبْدِهِ الْكِتَابَ وَلَمْ يَجْعَل لَّهُ عِوَجًا ۜ (1) قَيِّمًا لِّيُنذِرَ بَأْسًا شَدِيدًا مِّن لَّدُنْهُ وَيُبَشِّرَ الْمُؤْمِنِينَ الَّذِينَ يَعْمَلُونَ الصَّالِحَاتِ أَنَّ لَهُمْ أَجْرًا حَسَنًا. . . . . . #سورة_الكهف #المنشاوي #قرآن #محمد_صديق_المنشاوي_القرآن_الكريم #محمد_صديق_المنشاوي
#anaksmpeh #CapCut #bantuinfypdong #bismillahfyp #fyp #bocilsmp 🤪🤙
#anaksmpeh #CapCut #bantuinfypdong #bismillahfyp #fyp #bocilsmp 🤪🤙




İstanbul’un az bilinen ama en etkileyici adalarından biri burası. Tarihle iç içe, öğretici bir deneyim arıyorsanız bu ada tam size göre! Reklam/İşbirliği ⛴️ Adaya ulaşım oldukça kolay. 📍Karaköy’den saat 10:45’te, 📍Kadıköy’den ise 11:10’da kalkıyor vapurlar. Adadan dönüşse saat:17.00’da gerçekleşiyor. 📆 Ada perşembe, cuma, cumartesi, pazar günleri açık. 🚶‍♂️Adada müzeler, cam teras, yürüyüş yolları, kütüphane, cafe gibi gezebileceğiniz alanlar var. Ayrıca konaklamak isteyenler için otelde bulunuyor. Hem İstanbul’a yakın hem de bambaşka bir dünyadaymışsınız gibi hissettiren bu ada, sadece bir gezi değil. Aynı zamanda bir tarih yolculuğu. 📍 Konum: Demokrasi ve Özgürlükler Adası Sevdiklerinizle bu gönderiyi paylaşmayı, unutmamak için bu gönderiyi kaydetmeyi ve bu tarz etkinlikler için @asudeilekesfet sayfasını takip etmeyi unutmayın.🤗 Siz daha önce gittiniz bu adaya? Hadi yorumlarda buluşalım.🤗 . #yassıada #demokrasiveözgürlükleradası #adalar #istanbul #türkiye
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Plagiarists are collecting praise across LinkedIn, TikTok, Instagram, and YouTube for a method I built and published in October 2025. They've copied my words, numbers, plots, and even my video thumbnails, and passed them off as their own. The method: model a prop firm account as a structured product and price it with Monte Carlo simulation. You program a specific firm's exact rules into the engine, feed it a real trade log from a strategy, and simulate the challenge phase and the funded phase as two separate problems, because they have different objectives. The challenge is a barrier problem, so you solve for probability of passing. The funded phase is a payout problem, so you solve for money withdrawn across resets and profit splits. The engine returns a full statistical profile for one strategy on one firm: probability of passing, probability of reaching a payout, the distribution of time to payout, expected payout per funded account, and net expected value after challenge fees, failed challenge fees, activation fees, resets, and splits. Because the output is specific to both the strategy and the firm, it answers two questions at once: which risk geometry performs best in the convex environment of a given firm, and which firm gives your strategy the highest net expected value. The core result: you can have positive net expected value on these programs without a positive expected value strategy, because the payoff is convex. Capped, sunk-cost downside (challenge and reset fees) and otherwise unrealized losses, with realized upside (winnings realized in the form of a payout). Nobody on social media had discussed the mathematics of this before I did the research and published it. I built the engine and shipped it into QuantPad on 28 October 2025. I have the commit history. I published the method on TikTok the same day in a video that got over 300k views, and explained further in a long-form YouTube video on 7 March 2026, now past 130k views. Nobody had published anything like this on social media before that. What came after: reposts across LinkedIn, TikTok, Instagram, and YouTube that reused my graphics, lifted my phrasing close to verbatim, and in one case took my exact thumbnail, swapped the title into German, and added the reposter's own face to the middle of it. Others have built websites that attempt to copy the methodology (but miss key details) and sell access to it. People are being praised in the comments for work that is **line for line** mine. #quant #quanttrading #quantfinance
Plagiarists are collecting praise across LinkedIn, TikTok, Instagram, and YouTube for a method I built and published in October 2025. They've copied my words, numbers, plots, and even my video thumbnails, and passed them off as their own. The method: model a prop firm account as a structured product and price it with Monte Carlo simulation. You program a specific firm's exact rules into the engine, feed it a real trade log from a strategy, and simulate the challenge phase and the funded phase as two separate problems, because they have different objectives. The challenge is a barrier problem, so you solve for probability of passing. The funded phase is a payout problem, so you solve for money withdrawn across resets and profit splits. The engine returns a full statistical profile for one strategy on one firm: probability of passing, probability of reaching a payout, the distribution of time to payout, expected payout per funded account, and net expected value after challenge fees, failed challenge fees, activation fees, resets, and splits. Because the output is specific to both the strategy and the firm, it answers two questions at once: which risk geometry performs best in the convex environment of a given firm, and which firm gives your strategy the highest net expected value. The core result: you can have positive net expected value on these programs without a positive expected value strategy, because the payoff is convex. Capped, sunk-cost downside (challenge and reset fees) and otherwise unrealized losses, with realized upside (winnings realized in the form of a payout). Nobody on social media had discussed the mathematics of this before I did the research and published it. I built the engine and shipped it into QuantPad on 28 October 2025. I have the commit history. I published the method on TikTok the same day in a video that got over 300k views, and explained further in a long-form YouTube video on 7 March 2026, now past 130k views. Nobody had published anything like this on social media before that. What came after: reposts across LinkedIn, TikTok, Instagram, and YouTube that reused my graphics, lifted my phrasing close to verbatim, and in one case took my exact thumbnail, swapped the title into German, and added the reposter's own face to the middle of it. Others have built websites that attempt to copy the methodology (but miss key details) and sell access to it. People are being praised in the comments for work that is **line for line** mine. #quant #quanttrading #quantfinance

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