my fren just x4 her port with $EKUBO😳 she bought at $3 - $4, sold at $7, waited for dip back to $3.5 and aped in again. simple af but it works 🧠

. Ekubo cooking fr. trading volume: $127M day, $3.5B month. fees going psycho, TVL flatlining like it’s plotting. buyback flywheel doing laps — positive loop energy hitting diff. fees pump → buybacks hit → token tightens → more flow comes in. feels like

Been spending more time thinking about the quant side of crypto lately. Not trying to reinvent myself overnight — just feel it’s time to understand the market on a deeper, more systematic level. Figuring out where this path takes me, step by step.

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【进击的 MM 2：做市商订单簿与订单流】 为什么在买入山寨币后短时间内老是水逆？为什么看似资金巨无霸的做市商接不住 1011 的卖单？为什么 1011 后聊的 mm, 每个都云淡风清的说自己当天没咋亏/反倒赚了？这篇文章将为大家介绍做市商的订单薄与订单流 1，限价订单簿 (Limit Order Book, LOB)

People talk a lot about quant firms. But not many people know what each firm specializes on. Here's a cheatsheet to understand what each firm does well. Disclaimer - these are just the ones I know well, some eg: Virtu are missing. The cool part? All of them are very

Python notebooks for quantitative finance algorithms github.com/cantaro86/Fina…

nobody tells you what quantitative analysts actually read to get a $300,000 job it's not on reddit. it's not in any guide full reading list, sorted by where you are: if you're starting out ▸ Chan E.P. Quantitative Trading [1] ▸ Chan E.P. Machine Trading [2] if you're

> amazon.nl/Quantitative-T… > amazon.nl/Machine-Tradin… > amazon.nl/Richard-C-Grin… > amazon.nl/Edward-Qian-eb… > amazon.nl/John-C-Hull-eb… > amazon.nl/Sheldon-Natenb… > amazon.nl/Practical-Guid… > amazon.nl/Quant-Intervie…

FROM DUMB TO QUANT 18 months of lock-in and you're at a top-tier firm Only one variable - discipline The stack is free: MIT posted Strang's linear algebra course, Harvard gives away probability theory PDFs, Stanford - optimization While you’re scrolling TikTok, a guy your

my quant friend got fired from Two Sigma sent me his resignation email with one attachment "the only edge that mattered" Variance Drag: Geometric Return ≈ Arithmetic Return - σ²/2 sounds harmless until the numbers hit +30% then -30% ≠ 0% it's -9% ran this on leveraged

BREAKING: Claude can now research like a Stanford PhD student. Here are 9 insane Claude prompts that turn 40+ research papers into structured literature reviews, knowledge maps, and research gaps in minutes (Save this)

Top 10 Free Finance Courses: From Wharton, Yale, MIT, and more. Get the high-quality PDF with clickable links: Subscribe for free at WildCapital.co 1. Introduction to Corporate Finance - Columbia Learn valuation, capital budgeting, and cost of capital. 🔗

Semi-automated research assistant for academic work github.com/Galaxy-Dawn/cl…

BREAKING: MIT just mass released their Al library for free. (Links included) I went through these and honestly... this is better than most paid courses I've seen. Here's the full list of books: Foundations 1. Foundations of Machine Learning Core algorithms explained. Theory

🚨BREAKING: You no longer need Bloomberg to analyze stocks. Claude can now run: • Goldman Sachs-style research • Morgan Stanley technicals • Bridgewater risk models • Citadel sector rotation • Two Sigma macro analysis All from one prompt. For free. Here are 10 insane