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@caroleedanni:

caroleedanni
caroleedanni
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Region: CA
Monday 17 August 2026 23:58:32 GMT
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love_gmmtv016
d^=b[,7 :
บีเวอร์อ่ะ แฟนต้นหลิว
2026-08-19 00:29:29
1
vichayadasirivate
Bokeeอยากไลฟ์ 4/3 :
เรื่องอะไรคะ
2026-08-18 10:23:23
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breezenaka
บรีสไงจะไครละ :
คุนๆเหมื่อนคืยดู
2026-08-18 14:41:58
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kamrai26110
Kamrai261/1 :
ดี้นเนเนร้าเาร่ดยเจ้อนัอมาเาเเน่น้เสเาด
2026-08-18 09:53:26
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satisfled_1
.P. ^_^ :
😂😂😂
2026-08-18 03:03:43
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.n95887
0️⃣1️⃣6️⃣🎭 :
2026-08-18 14:46:50
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.100069374
ออกัส มุ่งเอาไปที่ 1000 :
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idtlk555
iD :
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2026-08-18 06:56:42
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1.2.3.5761
ນອນບໍ່ເປັນ🫸🩷🫷 :
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2026-08-18 05:24:13
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1.2.3.5761
ນອນບໍ່ເປັນ🫸🩷🫷 :
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2026-08-18 05:22:18
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sutida115
sutida🪸 :
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2026-08-18 23:21:14
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Other Videos

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Estimating Prop Firm Challenge Pass Probability and Expected Value via Reshuffling Monte Carlo This 90-second video explains how to estimate the probability of passing a proprietary trading firm challenge and the net expected value of a funded-account attempt, without placing a live trade or purchasing a challenge. The analysis begins with an out-of-sample backtest or historical trade log. Trades are sampled with replacement to generate a large number of possible equity paths. Tens or hundreds of thousands of reshuffling Monte Carlo simulations are then evaluated under the firm’s specific rules, including trailing drawdown limits and consistency requirements. Each simulated path is assigned a balance that incorporates the sunk challenge fee. When a path passes the challenge, the funded stage is simulated, including payout thresholds and any resulting payouts. These amounts are added to the path’s total balance. The estimated pass probability is the proportion of simulated challenge paths that pass. Net expected value is the average final balance across all simulations. The simulations and rule sets are implemented in QuantPad. #quantpad #propfirm #quant #montecarlo
Estimating Prop Firm Challenge Pass Probability and Expected Value via Reshuffling Monte Carlo This 90-second video explains how to estimate the probability of passing a proprietary trading firm challenge and the net expected value of a funded-account attempt, without placing a live trade or purchasing a challenge. The analysis begins with an out-of-sample backtest or historical trade log. Trades are sampled with replacement to generate a large number of possible equity paths. Tens or hundreds of thousands of reshuffling Monte Carlo simulations are then evaluated under the firm’s specific rules, including trailing drawdown limits and consistency requirements. Each simulated path is assigned a balance that incorporates the sunk challenge fee. When a path passes the challenge, the funded stage is simulated, including payout thresholds and any resulting payouts. These amounts are added to the path’s total balance. The estimated pass probability is the proportion of simulated challenge paths that pass. Net expected value is the average final balance across all simulations. The simulations and rule sets are implemented in QuantPad. #quantpad #propfirm #quant #montecarlo
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#mensfashion #summervibes #SuperBrandDay #SummerSaleCampaign #SohoChic
#consciousness #filsafat
#consciousness #filsafat

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