#Quant

Here are some of the topics that you should be familiar with if you’re looking to get into quant finance!🧮 #quant #quantfinance #optionstrading #algotrading

Jim Simons. The founder of Renaissance Technologies, he built one of history’s most successful funds of all time by assembling scientists, mathematicians, and programmers rather than traditional financiers. Simons’ edge wasn’t just individual genius but collaboration — creating an environment where diverse intellectual talent worked collectively to uncover market patterns, which was central to the medallion fund’s amazing returns. #wallstreet #quant #trading #finance #jimsimons

If it doesn’t break the baseline, it holds absolutely zero value. #computerscience #quant #stemstudent #academicweapon #deepwork

Chat. Big leagues are calling 🥶🥶 #janestreet #quant #springweek #unistudent #university

Can you solve this quant interview question? #quant #math

Why quants never trust their covariance matrix ? Most portfolio optimization models rely on the covariance matrix. 500 stocks = 125,000 parameters to estimate from only 252 trading days. More relationships than data points. Most of what you estimate is noise. Marchenko and Pastur (1967) showed that pure random data produces a predictable eigenvalue distribution. Overlay it on real data and you can separate signal from noise. On S&P 500 data, only a handful of eigenvalues sit above the noise band. The rest is random fluctuation. That’s why quants clean the matrix before optimizing, using eigenvalue clipping, shrinkage (Ledoit-Wolf), or other regularization methods. Factor models and Bayesian approaches also address the same problem. The core idea: if you don’t question your inputs, no optimizer will save you #quant #algotrading #trading #portfoliomanagement #finance

Ex Wall Street Quant reveals a tested and true +EV free alpha trading strategy that anyone can execute with ease. #quant #wallstreet #finance #investing #tradingstrategies

Meet Annanay Kapila, Founder & CEO of QFEX — the Cambridge math grad who managed $10B/day in quant strategies before walking away to build something real. Kapila spent years as a quant trader at Flow Traders and Tower Research Capital, running strategies that moved more money in a day than most countries see in a year. The pay was exceptional. But watching firms exploit structural flaws in legacy markets left him convinced the system needed to be rebuilt, not gamed. In 2025, he co-founded QFEX in San Francisco with former Citadel engineer Joshua Wharton — a 24/7 perpetual futures exchange offering up to 50x leverage on US stocks, forex, and commodities, with no brokers in the middle. In March 2026, General Catalyst led a $9.5M seed round valuing the company at $95M, with Y Combinator, Paul Graham, and others backing the vision. #entrepreneur #entrepreneurship #startup #business #quant

Meet Guangting Yu ( @yugtmacs ): - Applied Math PhD. Quant - Finance MS (UMich). - Worked on alpha discovery using Kalman filters. Published - AI/ML research (NeurIPS). Quants don’t guess markets. They hunt alpha. Hidden edges in data. Statistical arbitrage exploits tiny pricing gaps Factor models like Fama French explain what drives returns. - Kalman filters separate signal from noise in real time - Mean reversion bets prices snap back - Momentum rides trends early - Machine learning models like XGBoost and neural nets predict moves before they’re obvious. Covariance Formula: Cov(X, Y) = E[XY] − E[X]E[Y] Measures how two variables move together Positive means they rise together, negative means they move opposite Core signal used to detect relationships and extract alpha While most people stare at charts he’s modeling the system behind them #quant #machinelearning #startups #ai #founder

Quant finance majors make BANK💰 #quant #financebro #finance #Ad #Employee For education only — not financial advice. Investments carry risk. Do your own research & consult a pro. See full disclosure at https://bit.ly/ib_im_disc

You’re probably not smarter than a quant trader and here’s why… #quant #softwareengineer #coding #csmajor #mathmajor @snhgnl

Interested in quant trading/research but still in high school? Do what I did to be on track for your goals by first year 👇🏻 Aim for STEM degree at a target school. Understand probability/stats/linear algebra. Start looking at online assessment/interview questions, getcracked.io is a good place to start. Use code ‘LYDIA’ to get 10% off. International olympiads are probably your most valuable asset at this age. Aim for those. Research what you find interesting: I went from reading ‘Quantitative Finance for Dummies’ to publishing my first paper in less than 2 years. + Follow for the full breakdown of building my quant career from scratch #oxford #quant #trading #math #research