@views094: Optimal quoting #quant stitch with @Tiki_Torch

user12049197 :

I’ve just finished a course in HFFAT as a part of my Quant Finance degree (Masters level). We ended up having to do a project where we deployed a strategy. We chose Polymarket. We made small wins, but were obviously swallowed by fees. Do you think theres an edge to get on prediction markets? Is it something you guys allocate capital to? Looking for inspiration for my Thesis + potential PhD

∮S⃗am_ds⃗ :

Fear mongering math is so annoying, it drives people away from the subject, and ignores the fact that its all based of logic, so anyone can build an intuition and become good at math

Tiki_Torch :

Thanks for Brutally IQ mogging me, love the videos View

unfairvaluegap :

not always but a lot of times very intimidating math turns out to be way simpler once represented as code

Ethan Jones :

I was thinking that

jrijemen :

This is what he wants you guys to think

tito :

I hate when people just show something from a field without context just to fearmonger, every symbol has a meaning in there has a meaning, and if something has a meaning it can be understood

theorobertss :

best account on the app by far

FCS small engine :

so many brilliant minds tied up in a shell game

Dylon 🗣️ :

start a podcast please i want to fall asleep to your voice

jsfinancials :

I feel like on paper ‘complicated’ math is much simpler when breaken down onto code as well

Cian :

Quantmaxxing

switchDefender :

I’m autistic and I’m fairly ignorant but I feel like that math I could learn if someone sat down with me and actually showed me. I’d forget a couple months later w no practice but idk looks interesting

Tiki_Torch :

Thanks for covering this, I understand the idea of adverse selection and the paper but i definitely could not understand the math behind it. Original paper was also around 30-40 pages

Ak :

Comments here are vastly underplaying the work gone into developing the theory of optimal execution. Part of the difficulty is rendering this math and stochastic calculus into a form that can be easily followed and implemented. They haven’t put all that math and notation for the sake of it - it’s to be mathematically exact, accurate, and robust. Talking through the paper is far easier than deriving it, and does not mean that the work itself is simple.

Matias :

Does any of this take into account What other competing market makers are quoting at that moment in time?

Rico :

needs to do a better job explaining why institutions pay for retail flow...I don't t and you plug in honk he actually understands the underlying motivations

tiktoksgreatestquant :

i was wondering if you would have an idea of what i should do next year for university, im currently stuck between data science or math/stats... what do you think would be best to get into the quantitative space?

Jasondz__ :

d :

I always say this

dennis30293 :

Well lengthy expressions are not necesserily complicated, but really just lengthy. Take the 5th derivative of tan(x) and it’s a mess. Is it complicated? No. Its just some Kind of Dynamic equation which gets taylor expanded. However there are lengthy things that are also complicated, like the standard Model of particle physics

Sreevar pat :

Yea making an avellaneda–stoikov model in python was really fun and cool to see how a market maker actually works

GFonseca :

Olivier Guént is in 90% of academic papers about market making. GOAT 🐐

jeffrey :

Have you ever looked into sports trading/modeling ? feels like it maps pretty closely (pricing under uncertainty, finding edge vs. a market-implied probability, CLV as a proxy). Do you think the same skillsets transfers well, or are there structural differences (liquidity, vig, sample size) that make it a different ? Thanks

Black Rabbit Prince :

I love this acc