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A quantitative fund founded by pro poker players quietly controls an $800,000,000,000 options empire Susquehanna (SIG) handles 20% of the US options market. They treat trading like a solved math equation, using pure probability to extract the house edge Are you the casino calculating probabilities, or the gambler hoping... show more

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A single algorithmic firm quietly trades $50,000,000,000 every single day Hudson River Trading (HRT) controls 10% of the ENTIRE US stock market. They don’t draw trendlines. They use pure math like Hidden Markov Models to decode invisible regimes from noise If 10% of the market is controlled by pure math, what is your actual edge? Drop your thoughts in the comments Bookmark & watch HRT's Head of AI explain how their algorithms dominate the market below. Then read the quoted thread to see the exact math they use

A single algorithmic firm quietly trades $50,000,000,000 every single day Hudson River Trading (HRT) controls 10% of the ENTIRE US stock market. They don’t draw trendlines. They use pure math like Hidden Markov Models to decode invisible regimes from noise If 10% of the market is controlled by pure math, what is your actual edge? Drop your thoughts in the comments Bookmark & watch HRT's Head of AI explain how their algorithms dominate the market below. Then read the quoted thread to see the exact math they use

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Before Jeff Bezos built Amazon, he worked for a computer scientist who extracted $50,000,000,000 using "Ghost Patterns" David Shaw didn't know anything about finance. He built massive supercomputers to treat the stock market as a pure data structure. Instead of reading the news, his code hunts for "Ghost Patterns" ,mathematical anomalies that make zero logical sense to the human brain, but systematically print money. He proved that human intuition is a bug, and pure computational code is the only edge. Bookmark & watch this breakdown of how D.E. Shaw hacked the market. Then read below to see how modern quants automate these exact systems today

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How a math PhD built a $10,000,000,000 empire with exactly ZERO human traders. Alexander Gerko founded XTX Markets. They trade $300 Billion every single day. No charts, no financial news, no stress. Just pure machine learning predicting price action. While retail traders draw support lines and panic, his automated models systematically extract their liquidity. Bookmark & watch Bloomberg break down his "no humans" strategy. Then read below to see exactly how these quantitative systems are built

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a quant from Susquehanna, one of the largest options trading firms in the world, breaks down the actual math behind the VIX. he ran their Quantitative Research Department for nearly 20 years. PhD in mathematics. former professor at UVA. 56 minutes. free. full video ↓

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MUST-WATCH: Why SIG Dominated Options Trading — Explained by an 8-Year Insider Kris Abdelmessih (Kris) spent 8 years trading energy derivatives at SIG, then ran options businesses at Parallax & Prime before founding Moontower —one of the world's most popular newsletters on options & volatility trading. "SIG understood there was an abnormal amount of edge in the market. They came from gambling—sports betting, poker—where edge was tiny. A bookie makes 5% margins. But trading a $2.5 call spread for $2.20 when it's worth $2.50? That's a ridiculous amount of edge compared to gambling, with the same risk distribution." We cover: - Why SIG was called "the evil empire" & how they crushed competitors by trading massive size for tighter spreads - The exact structure of prop shop deals: 50/50 splits, escrow accounts, how you get to 60% then 70% payouts - Why markets look efficient from most vantage points & how trading is ultimately about labor—getting your vantage point close enough that it stops looking random - The tyranny of beta: why the best operator in a melting ice cube business will lose to a mediocre performer in a great market - How to escape the "striver" trap & tune out status optimization (hint: find what you got obsessed with before college applications mattered) - Teaching his 12-year-old options market making & involving his 9-year-old in building a trading card game—scattered cards on the bedroom floor that'll become a finished product Thanks to Kris for the masterclass. Highlights: 02:05 How Kris first recognized real trading edge 04:01 How early market structure created easy edge 05:27 Why improvement in trading comes from hindsight 07:08 The core SIG frameworks that shaped his edge 09:37 Why uncovering edge requires labor and precision 11:02 How informed order flow forces trader humility 12:53 What truly differentiated SIG from competitors 13:23 How SIG built a world-class education pipeline 16:30 How SIG captured edge by refusing to hedge 18:11 How centralized risk controlled exposure and variance 19:09 How SIG used size and spreads to dominate markets 23:20 What Kris learned working with Jason McCarthy 25:40 Why elite traders share extreme competitiveness 26:06 How top performers operate across domains and PM roles 28:22 How Kris transitioned from SIG to prop trading 31:56 What shifting into senior roles taught him about trading 33:46 How Kris built training and feedback systems for traders 35:00 How the backer model works inside prop shops 38:41 How escrow capital protects traders from tail events 41:03 How natural gas options trading changed with regime shifts 42:13 How Kris applies trading edge concepts to life decisions 45:46 Why personal alignment beats chasing status in trading 47:13 How status games distort decision-making for young traders 52:23 Why striver behavior is actually risk management 56:27 How Kris teaches opportunity cost through parenting 1:01:28 How exposing kids to decisions builds intuition 1:04:46 How Kris teaches EV using homemade trading games 1:08:05 How iteration and feedback loops shape real learning

MUST-WATCH: Why SIG Dominated Options Trading — Explained by an 8-Year Insider Kris Abdelmessih (Kris) spent 8 years trading energy derivatives at SIG, then ran options businesses at Parallax & Prime before founding Moontower —one of the world's most popular newsletters on options & volatility trading. "SIG understood there was an abnormal amount of edge in the market. They came from gambling—sports betting, poker—where edge was tiny. A bookie makes 5% margins. But trading a $2.5 call spread for $2.20 when it's worth $2.50? That's a ridiculous amount of edge compared to gambling, with the same risk distribution." We cover: - Why SIG was called "the evil empire" & how they crushed competitors by trading massive size for tighter spreads - The exact structure of prop shop deals: 50/50 splits, escrow accounts, how you get to 60% then 70% payouts - Why markets look efficient from most vantage points & how trading is ultimately about labor—getting your vantage point close enough that it stops looking random - The tyranny of beta: why the best operator in a melting ice cube business will lose to a mediocre performer in a great market - How to escape the "striver" trap & tune out status optimization (hint: find what you got obsessed with before college applications mattered) - Teaching his 12-year-old options market making & involving his 9-year-old in building a trading card game—scattered cards on the bedroom floor that'll become a finished product Thanks to Kris for the masterclass. Highlights: 02:05 How Kris first recognized real trading edge 04:01 How early market structure created easy edge 05:27 Why improvement in trading comes from hindsight 07:08 The core SIG frameworks that shaped his edge 09:37 Why uncovering edge requires labor and precision 11:02 How informed order flow forces trader humility 12:53 What truly differentiated SIG from competitors 13:23 How SIG built a world-class education pipeline 16:30 How SIG captured edge by refusing to hedge 18:11 How centralized risk controlled exposure and variance 19:09 How SIG used size and spreads to dominate markets 23:20 What Kris learned working with Jason McCarthy 25:40 Why elite traders share extreme competitiveness 26:06 How top performers operate across domains and PM roles 28:22 How Kris transitioned from SIG to prop trading 31:56 What shifting into senior roles taught him about trading 33:46 How Kris built training and feedback systems for traders 35:00 How the backer model works inside prop shops 38:41 How escrow capital protects traders from tail events 41:03 How natural gas options trading changed with regime shifts 42:13 How Kris applies trading edge concepts to life decisions 45:46 Why personal alignment beats chasing status in trading 47:13 How status games distort decision-making for young traders 52:23 Why striver behavior is actually risk management 56:27 How Kris teaches opportunity cost through parenting 1:01:28 How exposing kids to decisions builds intuition 1:04:46 How Kris teaches EV using homemade trading games 1:08:05 How iteration and feedback loops shape real learning

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Inside Susquehanna International Group with Todd Simkin Todd Simkin led trader education & development at SIG, one of the most elite prop trading firms on the planet, for decades. He's now Head of Insurance at River's Edge, Susquehanna's managing general underwriter. We cover: - Why SIG trains traders with poker before they touch a market - The one trait great traders have that can't be taught - How SIG's flat org structure (3 titles, total) creates true meritocracy - Why the flop in poker maps directly to the top of the order book - SIG's expansion into sports trading, private equity, venture & reinsurance - How River's Edge prices NIL deals, Eagles Super Bowl promos & catastrophe risk - SIG's 25-year bet on prediction markets — & their relationship with Kalshi - Why titles are cheap & what SIG rewards instead Highlights: 00:00 Intro 01:01 What makes a great quant trader 02:26 How Susquehanna trains decision-making under uncertainty 03:05 Susquehanna interview philosophy: process, updating, communication 03:41 Teaching derivatives, options pricing, and risk from scratch 04:21 Using games to model trading concepts 05:11 Poker as a controlled model of asymmetric information 05:41 Internal Susquehanna trading games and mock trading structure 06:51 How mock trading reveals signal vs. noise 11:30 What traits can’t be trained 16:19 How Susquehanna screens for untrainable traits in interviews 20:41 Why internship performance is noisy 24:41 How pods work inside Susquehanna 26:11 Titles are meaningless at Susquehanna 34:01 Building SEG RE and expanding insurance capacity 43:31 25-year internal belief in prediction markets at Susquehanna 55:01 Closing remarks

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it's the rare case of the inventor explaining his own framework better than any teacher ever could this 1 hour interview with Myron Scholes (the man who built the equation the entire options market runs on) breaks down the trillion dollar equation in plain English bookmark this. watch it once. then read the article below

it's the rare case of the inventor explaining his own framework better than any teacher ever could this 1 hour interview with Myron Scholes (the man who built the equation the entire options market runs on) breaks down the trillion dollar equation in plain English bookmark this. watch it once. then read the article below

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The options market needs "a catalyst to get us through this area of overhead resistance," Simpler Trading VP of options Danielle Shay says.

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Crypto Options Trading: The Hidden Goldmine for Massive Profits Options aren’t just for Wall Street insiders anymore—crypto traders are discovering how calls, puts, and advanced strategies can unlock serious profits in 2025. In this video, we break down why options trading has become one of the most underrated yet powerful tools in the digital asset market. What you’ll learn: ✅ Options basics: Calls, puts, and volatility strategies explained ✅ How to use delta-neutral yield farming with options ✅ Risks vs. rewards: what every trader must know ✅ How pros use options to hedge, leverage, and farm volatility Whether you’re looking for steady passive yield or aiming to profit from market swings, options trading is the hidden goldmine of 2025. 🔔 Subscribe for more pro-level crypto trading guides. 👍 Smash the like button if you’ve ever traded options (or want to try). 💬 Comment below: Are options the future of crypto, or too complex for retail traders?

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A hedge fund manager found a $1 billion hole in Lehman Brothers' books that no one else was talking about in this interview you'll hear how a man who started by making photocopies paid $250,000 for lunch with Warren Buffett, finished 18th out of 8,000 at the World Series of Poker And says today's stock market is "broken" Bookmark & Watch it today. Then read the post below - a trader predicted the 1987 crash, made $100 million ↓

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Сarm1ne

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They laughed at him on CNBC for two years straight, then everything he said came true "it's going to be a devastating recession. Not just a few quarters." the market lost $10 trillion, Lehman collapsed, millions lost their homes... Bookmark & Watch it. Then read the post below how the CEO of Citadel started with $265K and turned it into $90 billion ↓

They laughed at him on CNBC for two years straight, then everything he said came true "it's going to be a devastating recession. Not just a few quarters." the market lost $10 trillion, Lehman collapsed, millions lost their homes... Bookmark & Watch it. Then read the post below how the CEO of Citadel started with $265K and turned it into $90 billion ↓

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Ken Griffin just explained exactly why you keep losing money when asked how Citadel made the biggest profit in wall street history during the 2022 crash - he exposed the cold truth: "in 2022 the market crashed 20% and regular investors got wiped out - we didn't panic, we just ran the math and walked away with $16 billion in pure profit" "people sit at home drawing lines on charts hoping to guess the next big trend - we spend $1 billion a year on computers that execute 7 million trades a day" "we don't care if a company is good or bad - we execute 20% of all us volume every single day just scooping up the pennies that retail traders drop out of fear" Griffin didn't build a $60 billion empire by predicting the future. He built it by exploiting the fear and greed of regular people with cold, ruthless speed bookmark and watch him break down the reality of the game

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Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading. MIT professor gives you the same insights quants get paid $70K/month for in a 1-hour lecture on probabilities Bookmark & watch today. Then read the post below.

Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading. MIT professor gives you the same insights quants get paid $70K/month for in a 1-hour lecture on probabilities Bookmark & watch today. Then read the post below.

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The relationship between options prices and probability is the most important thing in derivatives trading. MIT taught exactly how to read them. Bookmark & turn on notifications, new article will be out tomorrow!

The relationship between options prices and probability is the most important thing in derivatives trading. MIT taught exactly how to read them. Bookmark & turn on notifications, new article will be out tomorrow!

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