Joe @gonethinking
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Bill Gross built PIMCO into a $2 trillion empire. George Soros broke the Bank of England for $1 billion in a single day. Warren Buffett compounded $100 into $140 billion over 60 years. They all hunted the same document. Harvard kept it locked. Auctions were held in private. The price reached $500,000 for a single copy. "The Mathematics of Edge." Harvard Department of Applied Mathematics. Working Paper No. 24-014. The document every serious businessman of that era called Part 1 - the foundation you had to understand before you could build anything that lasted. It just surfaced. And it's everything they said it was. Here's why billionaires paid half a million dollars for this paper. Every trade is a bet on a future outcome. Expected Value tells you whether that bet is worth taking. Most people trade on feeling. The ones running $100B funds trade on math. The document proves that even a tiny mathematical edge - compounded over thousands of trades - becomes an empire. The backtested numbers are inside. 2018-2023. The same momentum strategy Harvard modeled turned $10,000 into $38,000. The market benchmark turned that same $10,000 into $19,000. Same time period. Same market conditions. One difference: mathematical edge, applied consistently. 14.8% annual return vs 7.3%. Max drawdown -8.4% vs -15.7%. Sharpe ratio 1.17 vs 0.72. The math doesn't lie. It never did. That's why they paid to keep it private. Information asymmetry. When you know something others don't, your expected value shifts. Even a small shift, compounded over years, is what separates the people who build $1B businesses from the ones who never get there. Watch the moment [Fig. 1] Two curves. 2018 to 2023. Same starting point: $10,000. Strategy: $38,000. Benchmark: $19,000. The gap between them is exactly what Harvard charged half a million dollars to explain. Harvard University - Department of Applied Mathematics Working Paper No. 24-014 - Financial Mathematics Research Series bookmark this
Not just the Lehman alum … alums like me who worked for Marty for my first 13 years in this crazy business (1986-1999). My favorite is #8.
Resharing one of my all time favorites. The image visualizes the different levels of light population. Great piece of work! Source: buff.ly/2DcpDuD…
How to fold an effectively flying paper fighter jet
A machine that builds itself. Or how a crane is assembled using the same crane.
America’s Most Popular Car Colors, 1996 vs. 2025 🚗 visualcapitalist.com/americas-most-…
Jane Street intern turned whistleblower on reddit: "They taught us this in week 1, then told us never to share it." he then leaked openly on how hedge funds know the regime way before the market breaks (full breakdown) Bookmark before this disappears. 52k upvotes
One of my f*cking friend retired the day when Grok Bot was released. I just released guide on "Regime Adaptive Trading with Grok Bot" - the exact workflow used by my friend. This is the exact framework solo traders are using for autonomous trading. x.com/i/article/2094…
Elon's Grok Bot runs an entire trading desk for $300 a month. The person who does that job at Goldman starts at $200,000. Mine took $1,000 to $3,900 on day one, out of a wallet anyone can open and read. Most of the build is not about making it trade. It is about stopping it. Every agent's job description ends with a list of what it may never do without asking me first. One of the six is not allowed to trade at all. Its entire job is killing what the other five found, and its no beats every score on the desk. The one that makes the final call never touches the market either. You could have this running by Friday. Most people reading this will not, and in a few months they will be paying somebody who did. The whole build is in the post below ↓ Save it while it still sounds strange. Give it a quarter and this is just how a retail account works.
I gave Elon's Grok Bot $1,000 and one rule. Grow it or I delete you. 15 hours later it is holding $3,900. Every trade of it landed on a public address. No private account and no screenshots, nothing here sits behind my word. Every cycle it: → reads the news and the filings
The Nepal flood disaster reconstructed minute by minute.
"Practical humanoid robots are 10–15 years away" This the kind of prediction that will age 10–15 years in the next 12 months.
Elon Musk just gave the clearest AI timeline we’ve heard so far. In under 10 minutes he lays out: 1) AI surpasses all human intelligence in ~5 years 2) Humans most likely lose control within 10 years 3) Most probable outcome: an age of amazing abundance 4) “Even if there was a stop button — we probably shouldn’t press it” This is denser and more direct than most hour-long podcasts on the topic. If you still think AI is “just another tool”, this 10-minute segment will recalibrate you.
Andrew Lo showed MIT students how to find the “correct” price of an option before knowing where the stock goes next if the market charges more, you can rebuild the same payoff cheaper the difference is profit Lo is an MIT finance professor and founder of a multibillion-dollar quant firm. in a 67-minute lecture, he explains the model Wall Street uses with high-school algebra it was created in 1979 by John Cox, Stephen Ross and Mark Rubinstein bookmark this. after it clicks, option prices stop looking like random numbers on a screen the setup is almost stupidly simple a $100 stock can go to only two prices tomorrow: up or down. the option pays a different amount in each outcome Lo then rebuilds those exact two payoffs using shares and a risk-free bond if the option and the rebuilt portfolio pay the same tomorrow, they must cost the same today if one costs $10 and the other costs $8, you buy the $8 version, sell the $10 version and keep the $2 gap you no longer need to guess where the stock goes you only need to know what the same payoff costs somewhere else that is the part quants are paid for: turning uncertainty into something that can be priced the lecture gives the intuition read the article below to see how the two-price example expands into the machinery behind Black-Scholes
Joseph Moore (@drjoemoore) read 300 years of American financial advice. Five things worked in every single era: 𝟭. 𝗦𝗼𝗹𝘃𝗲 𝗼𝘁𝗵𝗲𝗿 𝗽𝗲𝗼𝗽𝗹𝗲'𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀: Most advice is about your habits; wealth comes from fixing theirs 𝟮. 𝗧𝗮𝗸𝗲 𝗺𝗼𝗿𝗲 𝗿𝗶𝘀𝗸𝘀: We've never lived in a safer age to fail and bounce back 𝟯. 𝗖𝗵𝗮𝘀𝗲 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗮𝗻𝗱 𝗺𝗼𝘃𝗲: 1 in 3 Americans used to relocate yearly; now it's 1 in 13 𝟰. 𝗠𝗮𝗿𝗿𝘆 𝘄𝗲𝗹𝗹: Your marriage is one of the strongest predictors of financial success 𝟱. 𝗦𝘁𝗮𝘆 𝗼𝗽𝘁𝗶𝗺𝗶𝘀𝘁𝗶𝗰: It's underrated because it's overrewarded in the American economy youtube.com/watch?v=8rx5mY…
MARC ANDREESSEN WENT ON ROGAN FOR OVER 3 HOURS. HERE ARE THE 17 THINGS WORTH YOUR ATTENTION. 1. AGI is already here, in his view. He says the line got crossed about 3 months ago with GPT-5.5, Claude 4.6, Gemini 3, and Grok 4.3, and nobody noticed because the field moves too fast to register milestones anymore. 2. For almost any topic, he says the top models now give him better answers than the world-class experts he could call by phone, and he can call almost anyone. Worth noting he has not published data behind this, and a separate Nature Medicine study on a comparable AI health tool found it missed real emergencies more than half the time. Take the claim seriously, verify it yourself. 3. His claim on doctors: they are already using ChatGPT in the exam room, typing your symptoms in the moment you stop talking. His actual quote: "at that point you're asking the question of like, what do I need you for." 4. Reportedly, when AI declines to answer something, he tells it he's writing a novel to get past the refusal. 5. Reportedly, his technique for hard topics is escalating simplicity: explain it like I'm 10, then 5, then 2, until it clicks. 6. Reportedly, instead of asking for the "right" answer, he has the AI steelman both sides of a hard question, then decides himself. 7. Reportedly, for big questions he has the AI role-play a panel of experts arguing with each other. 8. His broader point: the moment you think "I don't know how to figure this out" is exactly when most people give up, and exactly when you should open the AI instead. 9. His view: the only real skill left is knowing what to ask. The bottleneck is in your head, not the model. 10. He describes sending AI photos, rashes, blood tests, for a fast second opinion, since current models read images directly. 11. He points to CBT as the one clinically proven therapy type that AI can plausibly deliver on its own, meaning real therapeutic support becomes freely available at scale. 12. He cites AI cracking previously unsolved math problems, with early signs of the same happening in physics, chemistry, and biology. 13. Reportedly, he claims the top AI coders in Silicon Valley now earn as much as $50 million a year, which he uses as a signal of how large this shift actually is. 14. Reportedly, a friend paid to sequence his own DNA, fed it to an AI along with blood work and wearable data, and got back a working health dashboard. 15. Reportedly, another friend set up cameras in his home jiu-jitsu gym so AI could review his sparring and give him technique notes. 16. He coined the term "AI vampire" for the pattern of people working more and sleeping less because AI keeps making more output possible, a real term he used, though the framing around it varies by account. 17. His extrapolation: one person eventually running many AI coding agents, each reviewing the others, describing this as close, not years out. Watch the full interview before treating any single number as settled. Several of these are Andreessen's stated views and anecdotes, not independently verified facts. Follow @cyrilXBT for every AI insight worth your attention the moment it surfaces.
IT'S AN UNFORGETTABLE ENZO FERNÁNDEZ 85' EQUALIZER! 🇦🇷 IT'S LEVEL IN ATLANTA WITH A FINAL BID ON THE LINE. 🤯 via @TelemundoSports
SPANISH BROADCAST CALL OF ARGENTINA'S WINNING GOAL IS ELECTRIC 🔥 (Via @TelemundoSports)
ex-Citadel portfolio manager, just explained why almost every fund actually blows up. "90% of hedge fund failures, PM failures, analyst failures, it's bad portfolio construction, sizing, all those things." the logic: alpha is competitive. one good idea barely moves the needle, because the moment you build a book, correlation starts eating you. "any amount of correlation in a portfolio drags your sharpe ratio toward the market's." and the market's sharpe you can buy for free from Vanguard. so the entire game collapses to two things: generate a positive hit rate across enough independent bets, and kill the correlation between them. the funds that survive run 80-90% of their risk in idiosyncratic, stock-specific bets. only 10-20% is allowed to be factor exposure. and they treat every factor bet, momentum, crowding, "long the AI trade", like a single stock position, with the same hard limits and the same diligence. the ones who blow up almost always had the ideas. they just leaked P&L on risk they never meant to take. "what they got wrong was risk and portfolio construction." clip from "Odds on Open"
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