@Rossst_03: Stephen Boyd, Stanford professor: "Citadel will pay a 22 year old $400K to run this optimizer. The textbook that teache…

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A tweet highlights Stanford professor Stephen Boyd's free convex optimization course and textbook, noting that Citadel pays $400K for this skill. The course teaches optimal portfolio allocation, but emphasizes that the optimizer only works with a genuine edge in signals.

Stephen Boyd, Stanford professor: "Citadel will pay a 22 year old $400K to run this optimizer. The textbook that teaches it is free, and so was my course." this free stanford lecture holds the entire "optimal portfolio, perfect allocation" secret the trading gurus sell you. and the man teaching it didn't lock it inside a fund, he gave away the whole course and a textbook that costs $0. at the board it's simple: once you can write down your expected return, your risk, and your limits, convex optimization finds the single best portfolio, provably, not by trial and error. that's how a fund turns a messy pile of signals into one clean allocation. no guru required. it's not new either. boyd and vandenberghe's textbook has been free since 2004. same stack i mapped in the article above, old and free and sitting on a website the whole time. here's the honest part the course skips: the optimizer only allocates the edge you feed it. garbage in, garbage out. it can't invent an advantage that isn't already in your signals, it just sizes the real one without blowing you up. the solver is free. having an actual edge to optimize is the part nobody can sell you.
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Cached at: 06/30/26, 07:38 AM

Stephen Boyd, Stanford professor:

“Citadel will pay a 22 year old $400K to run this optimizer. The textbook that teaches it is free, and so was my course.”

this free stanford lecture holds the entire “optimal portfolio, perfect allocation” secret the trading gurus sell you. and the man teaching it didn’t lock it inside a fund, he gave away the whole course and a textbook that costs $0.

at the board it’s simple: once you can write down your expected return, your risk, and your limits, convex optimization finds the single best portfolio, provably, not by trial and error. that’s how a fund turns a messy pile of signals into one clean allocation. no guru required.

it’s not new either. boyd and vandenberghe’s textbook has been free since 2004. same stack i mapped in the article above, old and free and sitting on a website the whole time.

here’s the honest part the course skips: the optimizer only allocates the edge you feed it. garbage in, garbage out. it can’t invent an advantage that isn’t already in your signals, it just sizes the real one without blowing you up. the solver is free. having an actual edge to optimize is the part nobody can sell you.

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