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