What is Quantitative Finance? 📈 Intro for Aspiring Quants

What is Quantitative Finance? 📈 Intro for Aspiring Quants

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What is Quantitative Finance? 📈 Intro for Aspiring Quants
𝙉𝙊𝙏𝙄𝙁𝙔 𝙈𝙀 𝙬𝙝𝙚𝙣 𝙩𝙝𝙚 𝙘𝙤𝙪𝙧𝙨𝙚 𝙡𝙖𝙪𝙣𝙘𝙝𝙚𝙨: 💌 https://snu.socratica.com/quantitative-finance 𝙒𝙝𝙖𝙩 𝙞𝙨 𝙖 𝙌𝙪𝙖𝙣𝙩? Quantitative Finance is not stock picking. It's not vibes-based investing. It’s math, data, and code—used to build models, manage risk, and trade intelligently across global markets. We’ll walk through: - How returns and risk are modeled using probability distributions - Why correlation and high-dimensional statistics matter - What pair trading is—and how to profit even when the market goes down - How portfolios are constructed using optimization This is the real foundation behind quant finance, the kind you’ll need to master if you want to work at a hedge fund or trading firm—or build your own. 𝙅𝙪𝙢𝙥 𝙩𝙤 𝙙𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙩 𝙩𝙤𝙥𝙞𝙘𝙨: 0:00 Intro - What do Quants do? 0:46 Return 1:34 The bell curve 2:04 Normal Distribution 2:37 Mean & Standard Deviation (risk) 3:08 Correlation 3:16 2D Normal Distributions 3:40 What is our course like? 3:54 More stocks = more dimensions 4:42 Short selling 5:15 Pair Trading example 7:55 Portfolio Construction 8:43 Portfolio Returns 9:00 Objective Function 9:32 Portfolio Constraints 9:53 Market Neutral 10:16 Trading 10:39 Machine Learning & Alternative Data 11:05 High Frequency Trading (HFT) 𝙄𝙨 𝙩𝙝𝙚𝙧𝙚 𝙖 𝘾𝙤𝙪𝙧𝙨𝙚? If you’re serious about becoming a quant, we're building a course that doesn't waste your time. No filler. Just clean code, focused projects, and a deep dive into the tools used by professionals. Connect with us to learn when the Quantitative Finance course launches: 💌 https://snu.socratica.com/quantitative-finance 𝙒𝙀 𝙍𝙀𝘾𝙊𝙈𝙈𝙀𝙉𝘿 Paul Wilmott Introduces Quantitative Finance 📘 https://amzn.to/3Qe8zab The Big Short (movie) 🎬 https://amzn.to/4jbl5DJ 𝘼𝘽𝙊𝙐𝙏 our Instructor: Michael Harrison earned his BS in Math from Caltech, and did his graduate work in Math at UC Berkeley and University of Washington, specializing in Number Theory. A self-taught programmer, Michael taught both Math and Computer Programming at the college level. He applied this knowledge as a financial analyst (quant) and as a programmer at Google. 𝙎𝙐𝘽𝙎𝘾𝙍𝙄𝘽𝙀 to Socratica: 🦉 http://bit.ly/SocraticaSubscribe 𝙎𝙐𝙋𝙋𝙊𝙍𝙏 Socratica on Patreon: 🅿️ https://www.patreon.com/socratica We'd like to send a special thank you to our VIP Patrons at Patreon! Our patrons are the ones who make it possible for us to take the time to create new courses, doing the months of research, writing, and planning that give our courses that extra something. NSS North Houston Space Society, William Riancho, Thomas Myers, KW, M Andrews, Jim Woodworth, Marcos Silveira, Christopher Kemsley, Eric Eccleston, Jeremy Shimanek, Michael Shebanow, Kevin B, John Krawiec, Umar Khan, and the wonderful Tracy Karin Prell are our VIP Patrons! 𝙅𝙊𝙄𝙉 this channel to get access to small Youtube perks like an owl emoji when you leave comments, fancy! https://www.youtube.com/channel/UCW6TXMZ5Pq6yL6_k5NZ2e0Q/join Music Licensed with SoundStripe: code: ZBOLHOU5DB6Q9AHJ #Quants #Quantitativefinance #Stocks