One of the many paradoxes of trading in markets is that - for a given period of time - strategies that are ‘right’ in the broader time context can be absolutely catastrophic in other times. Indeed, careers of one or two currently lauded by FinTwit and the wider financial media

were made by doing exactly the wrong thing at the right time for just long enough before the cycle changed back again.

* The market constantly changes its reward structure (i.e. what approaches it rewards)
* It can be relied upon that the variance exhibited in the future on
data that does not yet exist will exceed that which is observed on historical or contemporary data.

With these two points in mind, it is no wonder that the overwhelming majority of the ‘turtles’ do not make it to the sea from their hatching places. (To take from the great
Dennis/Eckhart experiment of the early /mid 1980’s)

The ‘turtles’ I refer to are new entrants to markets with outrageously good technical qualifications.

I believe that as a member of rare club of quant traders who have traded in three consecutive decades I have earned the
right to say that our education standards for preparing people for markets has shifted way too far towards the ‘edge’ being related to manipulating large amounts of data quickly rather than actual alpha.
This is why 99/100 advertised ‘Quant Trader’ roles - to the extent that
they are actually jobs and not HH garbage- are for HFT or HFT related.

People are not prepared, and therefore do not design, systems that can deal with the two points I noted earlier re: changing rewards and variance.

This is why the failure rate is so high and why said rate is
accelerating. Have a look around your firms, 1-3 people are responsible for the lions share.

I genuinely believe, and am observing day to day - that the quant community’s last Hail Mary is tying themselves to ML - some will find something , 99% won’t.

I do not know how
this generation plans on surviving into the next cycle - I really don’t.
It’s a little easier in some ways dealing with the complexity of shorter term speculation because I trade through different cycles every day.......

Every market this coming week will do some combination
of movements that it has never done before, just as they did last week.

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Following @BAUDEGS I have experienced hateful and propagandist tweets time after time. I have been shocked that an academic community would be so reckless with their publications. So I did some research.
The question is:
Is this an official account for Bahcesehir Uni (Bau)?


Bahcesehir Uni, BAU has an official website
https://t.co/ztzX6uj34V which links to their social media, leading to their Twitter account @Bahcesehir

BAU’s official Twitter account


BAU has many departments, which all have separate accounts. Nowhere among them did I find @BAUDEGS
@BAUOrganization @ApplyBAU @adayBAU @BAUAlumniCenter @bahcesehirfbe @baufens @CyprusBau @bauiisbf @bauglobal @bahcesehirebe @BAUintBatumi @BAUiletisim @BAUSaglik @bauebf @TIPBAU

Nowhere among them was @BAUDEGS to find
https://t.co/6cRR2B3jBE
Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.

https://t.co/FBfXhUrH5d


Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.


...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.


Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.