🅿️ 𝘾𝙤𝙣𝙣𝙚𝙘𝙩 𝙬𝙞𝙩𝙝 𝙪𝙨 𝙤𝙣 𝙋𝘼𝙏𝙍𝙀𝙊𝙉
𝙉𝙊𝙏𝙄𝙁𝙔 𝙈𝙀 𝙬𝙝𝙚𝙣 𝙩𝙝𝙚 𝙘𝙤𝙪𝙧𝙨𝙚 𝙡𝙖𝙪𝙣𝙘𝙝𝙚𝙨:
💌
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:
💌
𝙒𝘼𝙏𝘾𝙃 𝙉𝙀𝙓𝙏: 𝙉𝙊𝙍𝙈𝘼𝙇 𝘿𝙄𝙎𝙏𝙍𝙄𝘽𝙐𝙏𝙄𝙊𝙉𝙎
▶️
𝘿𝙀𝙍𝙄𝙑𝘼𝙏𝙄𝙑𝙀𝙎
▶️
𝙒𝙀 𝙍𝙀𝘾𝙊𝙈𝙈𝙀𝙉𝘿
Paul Wilmott Introduces Quantitative Finance
📘
The Big Short (movie)
🎬
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:
🦉
𝙎𝙐𝙋𝙋𝙊𝙍𝙏 Socratica on Patreon:
🅿️
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!
Music Licensed with SoundStripe:
code: ZBOLHOU5DB6Q9AHJ
#Quants #Quantitativefinance #Stocks
source
𝙉𝙊𝙏𝙄𝙁𝙔 𝙈𝙀 𝙬𝙝𝙚𝙣 𝙩𝙝𝙚 𝙘𝙤𝙪𝙧𝙨𝙚 𝙡𝙖𝙪𝙣𝙘𝙝𝙚𝙨:
💌 https://snu.socratica.com/quantitative-finance
Impressive and straightforward as an intro !
I think there’s a better lens for this. I explained it recently.
This is crazy, I have always thought of something like this happening in trading but never thought of how to put it in words. Stumbled on this video by chance, In short I thought about quant trading before actually knowing it exists or the word u use to describe it. Amazing!!
It's categorically wrong to use Normal distributions for returns, since returns distributions are categorically non-gaussian. You can pretty easily show this by running a Jaroque-Bera test on returns, for instance. In reality we need time series volatility models like GARCH, where the volatility is student-t or heavier tails. So the resulting series is much, much heavier tails than Gaussian, both due to recursive volatility and due to the student-t (which has heavier tails than Gaussian) itself.
Finance on the mathematical side is fun…wish this was taught more in school mathematics
finally some no bs content on the matter
still dont know when the change is coming…
Get well soon buddy
excellent content. May I request you to make one video on Hypothesis testing
nice topic
what are the tools used to make this video
what the mathematical course will help? btw im not a maths background student
Geeez, thanks a lot.
Help refreshmy view for undersranding chart
Wich is the best school to study quantitive finance over the world?
Always a joy to watch.
شفت الرابط اسفل الفيديو دخول القروب تمام
Binomial distribution, Normal distribution…. Woahhh i love this.
Excellent. Marvellous
I want to learn quant finance
When the course will come?
Amazing video, great explanation. Especially, the portfolio construction with different constraints was very well explained. Thanks!
QF, ಮತ್ತೆ ನೋಡಿ😊
love tis
The illustration of the concept was pretty clear and knowledgeable, while being short and beneficial big like keep the good job❤
Please sound indonesia i like this video but i dont knows
I thought I am a smart kid until I watch 1 video at 6:32 and see what I havent been able to predict of.
=Linear algebraic optimization
I’m waiting for the course launch since last 3-4 months.. when will the Quant course be available??
This is very informative, practical, easy to understand 3D explanation series.. very useful as I’m pursuing FRM certification it gave me a lot of clearity…
I love it! Thank you 😊
Am 58 retiring next year but the thought of retirement gives me weakness. My apologies to everyone who have retired and filing social security during this time after putting in all those years of work just to lose everything to a problem you never imagined to happen. It’s so difficult for people who are retired and have no savings or loved ones to fall back on.
I am a corporate finance graduate. You have nailed it. You explain this concept in a simple way🎉.
nice explaination
A nice presentation. Easy to learn. Very Impressive style of teaching.
Português -Brasil
Olá amigo,favor liberar a legenda de áudio em português desde já muito obrigado
Magnificent work! Could you please enable the audio in Portuguese (Brazil)?
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the candlestick patterns in 44 trading powers book actually make sense now, psychology behind each formation
swing trading became easy after reading the 44 trading powers book, finally understand market cycles and psychology