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pedma
@pedma7
It took me 7 years to realize, and I will tell you in 2 minutes.

1. Most things that make money in markets are already discovered
pedma
@pedma7
2. Given that, if you think you discovered something new, I'd bet on two things:

a) Either you don't understand what really is you're extracting from the market
b) You made a mistake somewhere
pedma
@pedma7
3. Risk is never eliminated, always shifted somewhere else
pedma
@pedma7
4. The naive pursuit of risk elimination, will most likely make it morph into something, that is not as apparent as it could be
pedma
@pedma7
5. Keep risk as apparent as you can, that way you have a better shot at controlling it
pedma
@pedma7
6. Abnormal returns are usually derived from taking abnormal amounts of risk (extreme example: drug dealers)
pedma
@pedma7
7. Work on signal research from an ideas first approach
pedma
@pedma7
8. Backtesting is a mere sanity test, not a signal research tool
pedma
@pedma7
9. The data will tell any story that you want, if you beat it long enough
pedma
@pedma7
10. If you don't have a working model, focus on tasks with maximum impact rather than marginal improvements
pedma
@pedma7
11. Focus on what makes money today, not on future potential problems
pedma
@pedma7
12. Do useful things in uncompetitive places
pedma
@pedma7
13. Compete in places where your skillset is at least slightly above the average competition
pedma
@pedma7
14. Often complex theory leads nowhere or to marginal improvements.
pedma
@pedma7
15. Complex optimization requires a deep understanding of the underlying assumptions
pedma
@pedma7
16. Optimization comes at the expense of something. Usually of robustness.
pedma
@pedma7
17. Too many assumptions in your model increase the exposure to risk
pedma
@pedma7
18. There will always be a tradeoff between
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