Re:Using Reinforcement Learning in the Algorithmic Trading P...
by young_rutabaga on Wednesday April 29, 2020 @05:40PM
(#23024704)
This paper is a hilarious dump of WQ's randomly generated formulas that (hopefully) happen to pass in-sample test.
This formula trivially reduces to
which is an example of a mean-reversion strategy. But: 1) nobody bothered to simplify this formula, 2) as any mean reversion, it is extremely difficult to trade.
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Re:Using Reinforcement Learning in the Algorithmic Trading P...
by astrofinch on Wednesday April 29, 2020 @07:19PM
(#23025744)
Why is mean reversion difficult to trade?
Re:Using Reinforcement Learning in the Algorithmic Trading P...
by young_rutabaga on Wednesday April 29, 2020 @08:22PM
(#23026207)
High turnover, high costs. You flip your position too often
Re:Using Reinforcement Learning in the Algorithmic Trading P...
by stainforth on Wednesday April 29, 2020 @11:41PM
(#23027193)
If the market flips against me, I just double my bet on the next play.
Re:Using Reinforcement Learning in the Algorithmic Trading P...
by dkersten on Thursday April 30, 2020 @03:24AM
(#23028320)
the market can stay irrational longer than you can stay solvent
Martingale is a sure-fire way to lose all your money rather quickly.
Re:Using Reinforcement Learning in the Algorithmic Trading P...
by vecter on Thursday April 30, 2020 @12:18AM
(#23027390)
That's a great way to go broke very quickly.
Re:Using Reinforcement Learning in the Algorithmic Trading P...
by anjc on Thursday April 30, 2020 @03:01AM
(#23028195)
Only if you don't have infinite money on the side, in which case it's guaranteed to be profitable