ludoonchart
1.1K posts
ludoonchart أُعيد تغريده
How a quantitative framework pushed Oil to minus $37 and mathematically printed $660,000,000 in exactly 24 hours
In April 2020, retail traders bought the oil dip at $1, relying on human logic: "It can't go below zero." But institutional algorithms didn't care about human logic,they aggressively shorted the market into the abyss
The machines broke the zero bound, crashing the price to -$37.63. While a small group of quantitative traders extracted their $660,000,000 profit, the automated liquidation engines wiped out $1,400,000,000 from retail accounts, forcing over 60,000 regular people into massive debt
Do you still believe the markets are moved by the news, or do you finally see that cold math always beats human logic?
Bookmark & watch Bloomberg break down how this $660M trade was executed. Then read the thread below to see how these systems operate today
ludoonchart@ludoonchart
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
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ludoonchart أُعيد تغريده
How a hidden algorithmic doom-loop evaporated $1,900,000,000 of retail wealth, handing a quantitative fund an 8,600% profit in a single afternoon
In 2018, retail traders found "free money" in a fund called XIV. It systematically printed profit as long as the market stayed calm. What they didn't know was that quantitative models were already taking the other side of their trade.
When the market slightly dipped, institutional algorithms were forced to automatically rebalance. This triggered a mechanical death spiral. In just a few hours, the fund crashed 93%, wiping out $1.9 Billion.
Retail lost everything, while Wall Street algorithms executed their code for massive gains. Are you going to keep trading like the humans who lost everything, or are you ready to adapt to the machines that printed 8,600%?
Bookmark & watch Bloomberg break down how this hedge fund printed an 8,600% return from the crash. Then read below
ludoonchart@ludoonchart
How a quantitative framework pushed Oil to minus $37 and mathematically printed $660,000,000 in exactly 24 hours In April 2020, retail traders bought the oil dip at $1, relying on human logic: "It can't go below zero." But institutional algorithms didn't care about human logic,they aggressively shorted the market into the abyss The machines broke the zero bound, crashing the price to -$37.63. While a small group of quantitative traders extracted their $660,000,000 profit, the automated liquidation engines wiped out $1,400,000,000 from retail accounts, forcing over 60,000 regular people into massive debt Do you still believe the markets are moved by the news, or do you finally see that cold math always beats human logic? Bookmark & watch Bloomberg break down how this $660M trade was executed. Then read the thread below to see how these systems operate today
English
ludoonchart أُعيد تغريده
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 cold math always win, algos don't have emotions. and the beauty is that the "scraps" of those massive trades are still big enough to build a good side income. arbigab.app shows how it's possible on crypto markets.
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@ludoonchart when algorithms break the floor human logic turns into losses
cold math will always take money from those who believe "it can't go lower"
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@rcom1337 They thought it would be easy money and it couldn’t break below 0,but nothing is impossible
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@ludoonchart price to minus? how is it possible, spot was the best choice
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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
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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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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