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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.

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27,322 görüntüleme • 2 ay önce •via X (Twitter)

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In 2013 an MIT mathematician wrote one minus sign on a chalkboard and explained the exact trick hedge funds farm billions from in 2026. MIT filmed it. it has been free for 13 years. it has fewer views than a phone unboxing. his point: volatility is not a risk you survive. it is a crop you harvest. every "volatility harvesting" thread charging you $500 in 2026 is reselling the one line Choongbum Lee derives for nothing. he is a mathematician, not a guru. no thumbnail, no promise. just the term that makes a shaking portfolio beat a calm one. skip to where he writes d(log S). out falls minus one-half sigma squared. that tiny term is the "$12.50 from nowhere" in the post above. no black box. no signal. one piece of chalk. a quant I know made his whole desk watch minute 40 before they could touch the rebalancer. you are 13 years late. it is still free.

In 2013 an MIT mathematician wrote one minus sign on a chalkboard and explained the exact trick hedge funds farm billions from in 2026. MIT filmed it. it has been free for 13 years. it has fewer views than a phone unboxing. his point: volatility is not a risk you survive. it is a crop you harvest. every "volatility harvesting" thread charging you $500 in 2026 is reselling the one line Choongbum Lee derives for nothing. he is a mathematician, not a guru. no thumbnail, no promise. just the term that makes a shaking portfolio beat a calm one. skip to where he writes d(log S). out falls minus one-half sigma squared. that tiny term is the "$12.50 from nowhere" in the post above. no black box. no signal. one piece of chalk. a quant I know made his whole desk watch minute 40 before they could touch the rebalancer. you are 13 years late. it is still free.

Voltex

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Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.

Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.

Rossst.03

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Andrej Karpathy: "The future is not writing code. The future is writing the loops that write the code. The leverage point has moved one floor up." This is the shift that defines the next era of coding and quant building. 1 hour of pure insight on agentic AI coding and loop engineering from the OpenAI co-founder who just joined Anthropic to build self improving Claude. Worth more than every $500 vibe coding course combined. Watch it, then read the full guide on how to build your first self improving quant trading loop below.

Andrej Karpathy: "The future is not writing code. The future is writing the loops that write the code. The leverage point has moved one floor up." This is the shift that defines the next era of coding and quant building. 1 hour of pure insight on agentic AI coding and loop engineering from the OpenAI co-founder who just joined Anthropic to build self improving Claude. Worth more than every $500 vibe coding course combined. Watch it, then read the full guide on how to build your first self improving quant trading loop below.

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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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My friend was running a $150M hedge fund strategy on his laptop last night. No MIT. No Stanford. No hedge fund background. I asked him how he learned these quantitative trading strategies. He sent me the course that got him there. 4 real hedge fund managers reveal the strategies that made them billions. You won't find anything better about building quantitative trading strategies than this. I watched it last night. Halfway through, I realized building hedge fund strategies is embarrassingly simple. Bookmark this and read the article below. • 00:00 - quant strategy 1 • 50:45 - quant strategy 2 • 1:28:53 - quant strategy 3 • 1:51:41 - quant strategy 4

My friend was running a $150M hedge fund strategy on his laptop last night. No MIT. No Stanford. No hedge fund background. I asked him how he learned these quantitative trading strategies. He sent me the course that got him there. 4 real hedge fund managers reveal the strategies that made them billions. You won't find anything better about building quantitative trading strategies than this. I watched it last night. Halfway through, I realized building hedge fund strategies is embarrassingly simple. Bookmark this and read the article below. • 00:00 - quant strategy 1 • 50:45 - quant strategy 2 • 1:28:53 - quant strategy 3 • 1:51:41 - quant strategy 4

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Every gambler who ever muttered "I'm due for a win" was one theorem away from understanding why he was about to lose. an Oxford professor teaches that exact theorem for free. Vegas does not mind. the people who need these 50 minutes most are the ones feeding the slot machines instead. his subject is conditional probability. the wheel has no memory. ten reds in a row change nothing. the next spin carries the same edge against you, every single time. that is the whole casino in one idea. and the post above argues the whole market runs on it too. Crawford teaches it to Oxford first-years. no system. no strategy. no hot streak. just the proof that the house edge does not care what already happened. skip to conditional probability. watch him kill "I'm due" in one line. every bet independent, every one bleeding the same tiny percentage, the crowd paying it a million times over. no memory. no streaks. one edge, forever. a trader I know says the day he understood independence was the day he stopped revenge trading. the math has been free the whole time. the house is betting you never learn it.

Every gambler who ever muttered "I'm due for a win" was one theorem away from understanding why he was about to lose. an Oxford professor teaches that exact theorem for free. Vegas does not mind. the people who need these 50 minutes most are the ones feeding the slot machines instead. his subject is conditional probability. the wheel has no memory. ten reds in a row change nothing. the next spin carries the same edge against you, every single time. that is the whole casino in one idea. and the post above argues the whole market runs on it too. Crawford teaches it to Oxford first-years. no system. no strategy. no hot streak. just the proof that the house edge does not care what already happened. skip to conditional probability. watch him kill "I'm due" in one line. every bet independent, every one bleeding the same tiny percentage, the crowd paying it a million times over. no memory. no streaks. one edge, forever. a trader I know says the day he understood independence was the day he stopped revenge trading. the math has been free the whole time. the house is betting you never learn it.

Rossst.03

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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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Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.

Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.

Rossst.03

281,905 görüntüleme • 1 ay önce

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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The Best Strategy in 2026? Every trading influencer starts off with the same line. Thats why I build and test each one of these strategies. This one is actually not bad. The conditions have to be ideal, but when it properly sets up it’s very good. In the game of trading patience is profitable and this strategy aligns with that theory. I built the entire thing using LuxAlgo Quant check it out⬇️

The Best Strategy in 2026? Every trading influencer starts off with the same line. Thats why I build and test each one of these strategies. This one is actually not bad. The conditions have to be ideal, but when it properly sets up it’s very good. In the game of trading patience is profitable and this strategy aligns with that theory. I built the entire thing using LuxAlgo Quant check it out⬇️

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a prop desk cleared $480M last year - four people, one strategy they run cointegration find two assets that historically move together, bet when they drift apart, exit when they close back math behind it has been in academic journals since 1987 - no secret edge, no proprietary data in practice: SPY and IVV track the same index. when their spread hits 1.8 standard deviations from its 18-month mean, it reverts 79% of the time average hold: 4 hours, no direction call - just a statistical relationship that hasn't broken in 14 years of backtesting data is free. cointegration is in every econometrics textbook, has been since the 80s reason retail never runs this: payoff per trade is 0.3%. too small to feel like an edge quant desks run it 3,000 times a year Bookmark this knowledge you're not missing information you're solving the wrong problem they kept you hunting for a 10% winner. 3,000 small ones is the actual game

a prop desk cleared $480M last year - four people, one strategy they run cointegration find two assets that historically move together, bet when they drift apart, exit when they close back math behind it has been in academic journals since 1987 - no secret edge, no proprietary data in practice: SPY and IVV track the same index. when their spread hits 1.8 standard deviations from its 18-month mean, it reverts 79% of the time average hold: 4 hours, no direction call - just a statistical relationship that hasn't broken in 14 years of backtesting data is free. cointegration is in every econometrics textbook, has been since the 80s reason retail never runs this: payoff per trade is 0.3%. too small to feel like an edge quant desks run it 3,000 times a year Bookmark this knowledge you're not missing information you're solving the wrong problem they kept you hunting for a 10% winner. 3,000 small ones is the actual game

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Another week, another example of why the stand rule is the worst rule to ever exist in the game of football How can people think that this is good for the game?? It is genuinely embarrassing for this great game of ours has turned into this? #AFLHawksDogs

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Manual trading is the slowest part of your strategy. Not another bot, but a control panel to build your own trading agents & trade across DEXs from one terminal. Build agents, manage positions, and control TP/SL - all in Oraichain Quant Terminal. You set the rules and risk. The agent executes using quant models - to find entries, select orders, and run 24/7. Miss fewer moves. Think less. Execute better. 👉

Manual trading is the slowest part of your strategy. Not another bot, but a control panel to build your own trading agents & trade across DEXs from one terminal. Build agents, manage positions, and control TP/SL - all in Oraichain Quant Terminal. You set the rules and risk. The agent executes using quant models - to find entries, select orders, and run 24/7. Miss fewer moves. Think less. Execute better. 👉

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Introducing Chance AI: the AI execution layer for Prediction Markets Build your strategy, define your rules, and deploy an agent that trades for you on Polymarket! Instead of relying on generic bots or copy trading, you define everything yourself. ← If you’ve ever felt like your ideas deserved better execution, this is where that changes.

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THIS KNOWLEDGE MUST BE FORBIDDEN an ex-Jane Street guy told me your "edge" has an expiration date and you don't know it "retail finds a strategy. we find the retail finding it. then we eat it" every pattern you learn on YouTube was profitable until it wasn't the moment 10,000 people trade the same breakout, the desk models it and inverts it > a strategy goes from +edge to -edge in ~6 to 9 months once it hits retail > by the time a guru sells you the course, the desk has already priced your entry as their exit > he said 80% of "profitable strategies" shared publicly are dead or inverted within a year > the course isn't teaching you to win. it's herding you into the trade they're about to take against you he said the real edge isn't a pattern it's being early and leaving before the crowd arrives you bought the strategy at the top of its lifecycle. they sold it to you there on purpose the guru isn't smarter than you. he's just standing where the liquidity collects you're not late to the strategy. you're the liquidity the strategy was built to collect bookmark this before you buy another $997 course they don't sell you an edge. they sell you to the e

THIS KNOWLEDGE MUST BE FORBIDDEN an ex-Jane Street guy told me your "edge" has an expiration date and you don't know it "retail finds a strategy. we find the retail finding it. then we eat it" every pattern you learn on YouTube was profitable until it wasn't the moment 10,000 people trade the same breakout, the desk models it and inverts it > a strategy goes from +edge to -edge in ~6 to 9 months once it hits retail > by the time a guru sells you the course, the desk has already priced your entry as their exit > he said 80% of "profitable strategies" shared publicly are dead or inverted within a year > the course isn't teaching you to win. it's herding you into the trade they're about to take against you he said the real edge isn't a pattern it's being early and leaving before the crowd arrives you bought the strategy at the top of its lifecycle. they sold it to you there on purpose the guru isn't smarter than you. he's just standing where the liquidity collects you're not late to the strategy. you're the liquidity the strategy was built to collect bookmark this before you buy another $997 course they don't sell you an edge. they sell you to the e

Livsun

11,244 görüntüleme • 1 ay önce

The best signal is sometimes NO signal. That is why I do not trade when Intelligent Balance shows less than 60%. Below 60% means one thing to me: NO CLEAR EDGE. And that is exactly where most traders destroy their account. They see a sweep. They see an iFVG. They see CISD. They convince themselves there is a trade. But without a strong more probable side, the setup has no real filter. For me: 60%+ = I have a side to focus on. Below 60% = I protect capital. Simple. Intelligent Balance is not only there to tell me where to trade. It is there to tell me when NOT to trade. Because forcing trades in a low-edge environment is not trading. It is gambling with extra steps. Would you skip a session if the indicator told you there is no clear edge?

The best signal is sometimes NO signal. That is why I do not trade when Intelligent Balance shows less than 60%. Below 60% means one thing to me: NO CLEAR EDGE. And that is exactly where most traders destroy their account. They see a sweep. They see an iFVG. They see CISD. They convince themselves there is a trade. But without a strong more probable side, the setup has no real filter. For me: 60%+ = I have a side to focus on. Below 60% = I protect capital. Simple. Intelligent Balance is not only there to tell me where to trade. It is there to tell me when NOT to trade. Because forcing trades in a low-edge environment is not trading. It is gambling with extra steps. Would you skip a session if the indicator told you there is no clear edge?

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Elon Musk on capitalism vs communism: “I’ll tell you which system is better— the one that doesn’t need to build a wall to keep people in.” “Dead giveaway is— if you have to build a barrier to keep people in— that one is the bad system.”

Elon Musk on capitalism vs communism: “I’ll tell you which system is better— the one that doesn’t need to build a wall to keep people in.” “Dead giveaway is— if you have to build a barrier to keep people in— that one is the bad system.”

Jawwwn

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