ludoonchart
1.1K posts
ludoonchart ری ٹویٹ کیا
How a Wall Street algorithm printed $723,000,000 trading 1,238 days in a row, with only ONE losing day
Retail traders spend years trying to find a "profitable strategy". Meanwhile, Virtu Financial built a High-Frequency Trading machine that achieved a jaw-dropping 99.9% win rate across global markets.
They don't predict the news. They act as the casino, systematically extracting micro-pennies from the spread on millions of retail trades per second. No emotion, zero risk, pure mathematical extraction.
Bookmark & listen to Edward Thorp (the Godfather of quantitative trading) explain how these exact systems defeat Wall Street. Then read the thread below to see how they operate today
ludoonchart@ludoonchart
How a 31-year-old built an algorithm in his bedroom that wiped out $1,000,000,000,000 from Wall Street in 5 minutes. Navinder Sarao didn't work for a massive hedge fund. He realized the stock market was entirely controlled by vulnerable high-frequency bots. He built a custom "spoofing" algorithm that flooded the market with fake orders, tricking Wall Street's supercomputers into a massive panic sell-off. While the global economy froze, his code systematically printed $50,000,000. He proved that financial markets are no longer human, they are just fragile networks of algorithms reacting to each other. Bookmark & watch Bloomberg break down how one bedroom-coder broke Wall Street
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ludoonchart ری ٹویٹ کیا
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
ludoonchart@ludoonchart
How a secretive group of 3,500 math nerds made $39,000,000,000 last year without predicting the market. Jane Street doesn’t care if stocks go up or down. They are a pure math factory. While retail traders gamble on direction, Jane Street uses complex algorithms and high-frequency arbitrage to extract billions from market inefficiencies in milliseconds. They defeated JP Morgan and Goldman Sachs not with money, but with code. Bookmark & watch Bloomberg expose the most profitable and secretive firm on Wall Street. Then read the post below to see a live whale using this exact algorithmic logic to print $200,000 on Polymarket right now
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How a 31-year-old built an algorithm in his bedroom that wiped out $1,000,000,000,000 from Wall Street in 5 minutes.
Navinder Sarao didn't work for a massive hedge fund. He realized the stock market was entirely controlled by vulnerable high-frequency bots. He built a custom "spoofing" algorithm that flooded the market with fake orders, tricking Wall Street's supercomputers into a massive panic sell-off.
While the global economy froze, his code systematically printed $50,000,000. He proved that financial markets are no longer human, they are just fragile networks of algorithms reacting to each other.
Bookmark & watch Bloomberg break down how one bedroom-coder broke Wall Street
ludoonchart@ludoonchart
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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@____sth____ Wow, that's insane. I bet they deeply regretted those PA shorts a few years later
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@ludoonchart David Shaw worked at Morgan Stanley doing pairs trading before founding DE Shaw.
I was hired into the group Bezos managed at DAe Shaw after grad school but after Bezos had left to found Amazon. Everyone in the group shorted AMZN in their PAs.
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@ludoonchart because thieves are boring, few people want to understand this. and in vain. 12% on the surface
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@ludoonchart Jane Street's math is impressive, but the real edge is their access to order flow and capital - not just algorithms.
Any hedge fund can run the same math. Scale and market access is what separates them.
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ludoonchart ری ٹویٹ کیا
How a secretive group of 3,500 math nerds made $39,000,000,000 last year without predicting the market.
Jane Street doesn’t care if stocks go up or down. They are a pure math factory. While retail traders gamble on direction, Jane Street uses complex algorithms and high-frequency arbitrage to extract billions from market inefficiencies in milliseconds.
They defeated JP Morgan and Goldman Sachs not with money, but with code.
Bookmark & watch Bloomberg expose the most profitable and secretive firm on Wall Street. Then read the post below to see a live whale using this exact algorithmic logic to print $200,000 on Polymarket right now
ludoonchart@ludoonchart
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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ludoonchart ری ٹویٹ کیا
The $10 Billion mathematical framework from my post below is currently printing $200,000 on Polymarket.
I tracked the whale @gabigol?r=4realinsane300#UzTv2eu" target="_blank" rel="nofollow noopener">polymarket.com/@gabigol?r=4re… . 57,000+ trades this year alone. You aren't competing against humans anymore; you're competing against High-Frequency ML models systematically draining retail liquidity.
The exact quantitative logic from the video below is happening on Polymarket right now. His algorithms don't have an "opinion" on world events. They simply process data and execute trades milliseconds before a human can even react. Explore the platform yourself and watch these algorithms fight live.
ludoonchart@ludoonchart
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
English
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
ludoonchart@ludoonchart
David Siegel built a personal net worth of $8,000,000,000 without drawing a single support line on a chart. He realized decades ago that human intuition is flawed. His fund, Two Sigma, doesn't predict the future-they use Neural Networks to compute pure mathematical expectation across 10,000 live signals. Watch him explain why AI is eating Wall Street. Then read the exact framework his industry uses today below
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