🚨these github repos is SERIOUSLY DANGEROUS Wall Street pays its engineers $500K+ a year to write code like this, 6 of the top firms put theirs on GitHub 6 repos built inside Goldman Sachs, JPMorgan, Jane Street, Jump, Morgan Stanley and Man Group, with 38.6k stars combined First, get how it works: 1. Goldman Sachs' quants built gs-quant for pricing, risk and backtesting. JPMorgan's python-training is the exact course it uses to train its own traders and analysts. 2. Jane Street's magic-trace traces every function call at ~40ns. Morgan Stanley's Xpedite profiles low-latency trading code, "where latency directly translates to profitability". Jump's Firedancer runs Solana on a design taken from low-latency trading. 3. Man Group's ArcticDB stores and queries market data across billions of rows. Together it's a full desk: data, research, risk and speed. Here's how you can run it for free yourself: 1. Open Claude Code and start with JPMorgan's trader course, python-training. Have Cl
Сarm1ne@carm1nee18.3K followers18d agoPost text
Quoted from X🚨these github repos is SERIOUSLY DANGEROUS Wall Street pays its engineers $500K+ a year to write code like this, 6 of the top firms put theirs on GitHub 6 repos built inside Goldman Sachs, JPMorgan, Jane Street, Jump, Morgan Stanley and Man Group, with 38.6k stars combined First, get how it works: 1. Goldman Sachs' quants built gs-quant for pricing, risk and backtesting. JPMorgan's python-training is the exact course it uses to train its own traders and analysts. 2. Jane Street's magic-trace traces every function call at ~40ns. Morgan Stanley's Xpedite profiles low-latency trading code, "where latency directly translates to profitability". Jump's Firedancer runs Solana on a design taken from low-latency trading. 3. Man Group's ArcticDB stores and queries market data across billions of rows. Together it's a full desk: data, research, risk and speed. Here's how you can run it for free yourself: 1. Open Claude Code and start with JPMorgan's trader course, python-training. Have Cl
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