How to Become a Successful Quant Trader | Dr Ernest Chan | Algo Trading Week Day 1

[@quantinsti]

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[@nishu761]

This was soooo amusing. I loved how he kept answering dumb questions with such patience. Also, the Interviewer needs better skills would be an understatement.

[@kevinr8431]

Wow, what a great opportunity to interview, Dr. Chan and such a waste that the interviewer is clueless

[@mikiallen7733]

Another question do you tend to trust back tests generated by cpcv algorithm than any other standard back test Algo ? If so do you still apply cutoff to the resulting Sharpe ratio of such hypothetical strategy ?

[@kofsphere]

Just have a second opinion about the frequency issue - one year ahead prediciton is surely difficult but it the question was 'does HFT have an edge than median/low frequency - one year is just too long, but how about HFT vs median frequency (e.g., 1 minute, 5 mibute)?

[@quantinsti]

Hi! Thanks for your comment. HFT or Medium Frequency which is better or has an edge is very subjective. It depends on the robustness of the strategy which you have created. Both styles of trading can be profitable or give better risk-adjusted returns in their own way. But generally, the setup cost in terms of systems, hardware and even initial capital requirements is more in HFT than MFT. We hope this helps! :)

[@mikiallen7733]

What do you mean by changing M.L. methodology within the context of model retraining / revision before relaunching the strategy live ?

[@mikiallen7733]

What a quick test (statistical or other ) do you usually resort to check for a regime change say on daily or hourly frequency pricing data ?

[@ericako5970]

May I ask Dr Chen that they only hire someone with track record? How about beginner? What they value the most for beginners that may not have a good track record before? Thank you.

[@therishabhpatel]

34:18 What did he mention here? Owl or R?

[@quantinsti]

Hello Rushabh. Dr. Ernest Chan mention R.

[@therishabhpatel]

@@quantinsti Okay. Thanks :)

[@mikiallen7733]

Thanks Sir , but what a typical profile of a trader that you hired recently ? And if he does not trade for himself or for others , do you still accept him in to your team ? If so what exactly makes him different than other candidates ?

[@quantinsti]

"We only hire traders with a live track record, whether that track is from his/her own account, or from a 3rd party account. The account does not have to be huge, but should represent a meaningful portion of his/her net worth if it is their own. If it belongs to a third party, then it has to be at least US$100K. Obviously the longer and stronger the track, the more likely we will hire. We have some subadvisors who barely have a single losing month, ever. So it is a high bar." - Dr Chan

[@mikiallen7733]

And one more question pls , is it possible to share with us what rule of thumb / trigger do you use to get out of a trade in your own fund ?

[@mikehansen7610]

Someone please explain why Dr Chan lives in a house like that while supposedly being an expert in utilizing machine learning to extract profits from the markets and having done so for many years ... ?

[@trashwebsite_user01]

I usually ask the same question whenever i see trading experts but in dr chan's case ... its looks like a pretty neat home office space to me.

[@deoskari8934]

hope this reply isnt coming too late. these days we are flooded with lifestyle of fake traders online that we forge the true market players are in this business for the passion, the ability to solve complex problems and hack the market to extract alpha, it becomes their air and breathe, my boss who runs a 50m portfolio never takes a working day off, his daughter lives in a penthouse in Miami, but he still stays in their 2003 family home in suburbs, sometimes i notice he repeats his shirt 2/3 times in a week. the point is, they dont care about material because they know it can all go away in a single day, so staying down to earth keeps them focused and psychological upright.

[@quantinsti]

Embark on an exhilarating journey towards success by delving into the expertise of quant trading with Dr. Ernest Chan, gaining a comprehensive understanding of unlocking the power of algo trading for your financial endeavors. Register Now - bit.ly/3S1fdlT FREE Ebooks: 🎁Machine Learning In Trading | Step By Step Implementation of ML Models - bit.ly/3SXt7Ww 🎁Algorithmic Trading | A Rought & Ready Guide - bit.ly/48n9b3E 🎁Python Basics | With Illustrations From The Financial Markets - bit.ly/48hqCCW