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1,000,000 PEOPLE BUILD QUANT BOTS THAT CANT BEAT RANDOM MIT proved why in one theorem. If your strategy is a fair game, no exit rule wins. The edge has to come from real signal - not the loop. Bookmark this before you deploy.

BuBBliK

22,396 subscribers

27,322 просмотров • 14 дней назад •via X (Twitter)

Anya Rossi• Live Now

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ChatGPT can write you a thousand trading strategies from one sentence. 999 will quietly bleed your account dry. Every single one of them looks like a winner. One method pulls the real one out. Quant desks have run it for years. It's called loop engineering. It's not a smarter prompt. It's a loop: generate a strategy, test it, score why it failed, feed that back, and run it again until one survives data it has never seen. Man Group runs $150 billion. They built an AI that writes and tests hundreds of strategies a week. And second agent whose only job is to hunt the ones that secretly overfit and kill them before a cent goes live. > describe an idea -> backtest 5 years in 12 seconds > read why it died -> feed that back in > run it again until one survives data it never saw AI can write a thousand strategies. Loop engineering is the only thing that tells you which one was ever real. 89% of retail lost money in 2025. Almost none of it from bad ideas. All of it from trading the first guess and never running it through backtest loop. Horizon just put the whole thing in a chat box, free while the beta's open: You're not losing to smarter traders. You're losing to the ones who opened the tab. Anyone can generate a strategy now. Almost no one runs the loop that proves it. That gap is the whole edge. You'll mean to check it later. Later is a "waitlist closed" page.

ChatGPT can write you a thousand trading strategies from one sentence. 999 will quietly bleed your account dry. Every single one of them looks like a winner. One method pulls the real one out. Quant desks have run it for years. It's called loop engineering. It's not a smarter prompt. It's a loop: generate a strategy, test it, score why it failed, feed that back, and run it again until one survives data it has never seen. Man Group runs $150 billion. They built an AI that writes and tests hundreds of strategies a week. And second agent whose only job is to hunt the ones that secretly overfit and kill them before a cent goes live. > describe an idea -> backtest 5 years in 12 seconds > read why it died -> feed that back in > run it again until one survives data it never saw AI can write a thousand strategies. Loop engineering is the only thing that tells you which one was ever real. 89% of retail lost money in 2025. Almost none of it from bad ideas. All of it from trading the first guess and never running it through backtest loop. Horizon just put the whole thing in a chat box, free while the beta's open: You're not losing to smarter traders. You're losing to the ones who opened the tab. Anyone can generate a strategy now. Almost no one runs the loop that proves it. That gap is the whole edge. You'll mean to check it later. Later is a "waitlist closed" page.

cvxv666

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"In Major League Baseball there is one rule and that rule is very simple... Do not bet on baseball and if you do bet on baseball you face a lifetime ban.. This is a real problem for the integrity of the game" Jeff Passan #PMSLive

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Pat McAfee

746,269 просмотров • 1 год назад

this is f**king dangerous a free github repo with 4.8K stars just dropped the entire "loop engineering" framework for trading agents. 12 steps to build a self-running quant desk: strategy intent → market data → signals → trading agent → verify → refine → rerun. save and bookmark no matter what

this is f**king dangerous a free github repo with 4.8K stars just dropped the entire "loop engineering" framework for trading agents. 12 steps to build a self-running quant desk: strategy intent → market data → signals → trading agent → verify → refine → rerun. save and bookmark no matter what

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Livsun

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61,056 просмотров • 2 месяцев назад

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If you build the biggest podcast in the world, then someone comes on to lecture you about your booking policy, this is a fair response.

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Nick Dixon

860,850 просмотров • 1 год назад

a citadel quant told me something that broke my entire trading framework "we don't predict markets. we model the state machine" he explained markov chains in 90 seconds the market is never random - it always exists in one of three states trending up, trending down, ranging - each has a fixed probability of shifting to another build the transition matrix from real price data: > trending up -> 68% stays trending, 21% flips to range, 11% reverses > ranging -> 54% stays range, 28% breaks up, 18% breaks down > trending down -> 61% stays falling, 24% flips to range, 15% reverses now you're not guessing, you're playing probability identify current state, enter with the 68% edge, size with kelly criterion based on that probability the formula is public - markov published it in 1906 hedge funds use it, the math costs nothing what costs you is asking the wrong question "where is price going?" is random "what state am I in right now?" has an answer transition matrix built from 10 years of data is your edge Bookmark it not a signal, not an indicator - just conditional probability that compounds every single trade

a citadel quant told me something that broke my entire trading framework "we don't predict markets. we model the state machine" he explained markov chains in 90 seconds the market is never random - it always exists in one of three states trending up, trending down, ranging - each has a fixed probability of shifting to another build the transition matrix from real price data: > trending up -> 68% stays trending, 21% flips to range, 11% reverses > ranging -> 54% stays range, 28% breaks up, 18% breaks down > trending down -> 61% stays falling, 24% flips to range, 15% reverses now you're not guessing, you're playing probability identify current state, enter with the 68% edge, size with kelly criterion based on that probability the formula is public - markov published it in 1906 hedge funds use it, the math costs nothing what costs you is asking the wrong question "where is price going?" is random "what state am I in right now?" has an answer transition matrix built from 10 years of data is your edge Bookmark it not a signal, not an indicator - just conditional probability that compounds every single trade

Livsun

266,405 просмотров • 1 месяц назад

Throwback to when I PROVED that the testing was done at #keycycle 167, NOT 164, and this PROVED that the ABS(antilockbreaks) DID in fact deploy during their testing, not only confirming #KarenRead’s innocence, but #trooperpaul s perjury. THIS IS WHY HE OMITTED THE TIMESTAMPS!!!

Throwback to when I PROVED that the testing was done at #keycycle 167, NOT 164, and this PROVED that the ABS(antilockbreaks) DID in fact deploy during their testing, not only confirming #KarenRead’s innocence, but #trooperpaul s perjury. THIS IS WHY HE OMITTED THE TIMESTAMPS!!!

Nerdypinkpanda

33,738 просмотров • 1 год назад

Why move to San Francisco if you can build a unicorn from your hometown of 300k people in Belgium? No reason at all, just build. Don't drink the propaganda Kool Aid :)

Why move to San Francisco if you can build a unicorn from your hometown of 300k people in Belgium? No reason at all, just build. Don't drink the propaganda Kool Aid :)

Bela Wiertz

29,087 просмотров • 5 месяцев назад

ChatGPT told your trading strategy was profitable. You went live. Two weeks later your account was bleeding out. That's not his fault. It handed you a guess and called it an edge. You're missing the one skill that separates quants from the retail they feed on: loop engineering. Horizon is the first tool that hands it to you - absolutely free: Here's the actual problem. ChatGPT can generate a thousand trading strategies in a minute. It cannot tell you which one actually works. 999 are noise. The one real edge is buried in there, and from the outside it looks exactly like the junk. So you trade the junk, lose, and call it a skill issue. Loop engineering does the opposite. It tests all thousand instead of trusting one - generate, score, kill, refine, repeat - and keeps only what survives data it never saw. That's the entire gap between you and a quant desk. Not brains. Not capital. The loop. It's why they print billions and 89% of retail funded them last year. Horizon runs that exact loop end to end: > a 5-year backtest in 12 seconds > thousands of simulated paths > out-of-sample gate before a dollar goes live The machine that cost a $25,000 terminal and a row of PhDs - now a sentence and a login. Save this - it's full framework below. Fewer than 1,300 seats left before launch locks the list. Link at the top - don't be the one who read all this and skip.

ChatGPT told your trading strategy was profitable. You went live. Two weeks later your account was bleeding out. That's not his fault. It handed you a guess and called it an edge. You're missing the one skill that separates quants from the retail they feed on: loop engineering. Horizon is the first tool that hands it to you - absolutely free: Here's the actual problem. ChatGPT can generate a thousand trading strategies in a minute. It cannot tell you which one actually works. 999 are noise. The one real edge is buried in there, and from the outside it looks exactly like the junk. So you trade the junk, lose, and call it a skill issue. Loop engineering does the opposite. It tests all thousand instead of trusting one - generate, score, kill, refine, repeat - and keeps only what survives data it never saw. That's the entire gap between you and a quant desk. Not brains. Not capital. The loop. It's why they print billions and 89% of retail funded them last year. Horizon runs that exact loop end to end: > a 5-year backtest in 12 seconds > thousands of simulated paths > out-of-sample gate before a dollar goes live The machine that cost a $25,000 terminal and a row of PhDs - now a sentence and a login. Save this - it's full framework below. Fewer than 1,300 seats left before launch locks the list. Link at the top - don't be the one who read all this and skip.

cvxv666

18,847 просмотров • 12 дней назад