@deltatrendtrading: 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 The funded phase is a payout problem, so you solve for money withdrawn across resets and profit splits.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
Thomas
Region: US
Thursday 11 June 2026 22:21:16 GMT
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aminpazos :
I understand being bothered by having ur work directly copied, but don’t get mad that other people can do what u do or built what u built, perhaps even better than u could
2026-06-12 14:27:08
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pajke :
please do lawsuit tutorial
2026-06-11 23:04:31
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user4869249487350 :
It’s shocking how people can steal so willingly. Don’t stop posting we enjoy your content
2026-06-12 20:53:45
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Jacki😭 :
Yo thom can u make a video on how a quant approaches a trade?
2026-06-11 22:53:48
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CalebHostetler :
I can’t wait to see an uprising in ppl with algos that return 100000% a year
2026-06-11 22:57:33
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Shush :
Literally just risk less than your system max drawdown , stop overcomplicating things . If you wanna dig a little deeper find your expectancy x the amount of trades you take a month and find suitable risk it’s all you need.
2026-06-12 02:57:52
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Zaid🏔 :
Thomas, can I get a Hi?
2026-06-11 22:34:41
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BlessedByMelo :
Yea but non of it is IP or anything, its just how it be. No hate just saying, it happens to every fairly large content creator
2026-06-11 22:25:31
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🤫🧏♂️ :
Bhahaha😂😂
2026-06-12 07:25:53
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VIC COTTER :
Stealing surfaces for MV functions you dont even the parameters to is Brazy.
2026-06-12 05:00:31
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Nir :
I built a tester for prop accounts too in python (built it myself not vibecoded) with inspiration from you I modeled it after apex funding rules would you recommend to build it as a continuous path so as an example: pass an eval > get moved to funded > get a payout > reset to whatever > get another payout/blow the funded > back to eval until you pass another one and then Monte Carlo that to get all costs of activation fees and eval costs and do payouts - these fees for the EV ? Or would you do a path that stops once you get funded or blow the account , my problem with that is that what if that’s just part of my whole returns so wouldn’t it make more sense to calculate it as a continuous path ? Would like to hear your thoughts if that made any sense to you
2026-06-11 23:40:51
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rmeubra :
I’m finna larp using quantpad 😏
2026-06-11 23:05:27
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Zeke 🦇 :
Holy larp 😭
2026-06-11 22:52:07
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⃟ :
make a video on gex levels pls
2026-06-11 22:46:41
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WiraKasep :
🥰🥰🥰
2026-06-12 13:30:33
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