Re:AI Beats Four Top Poker Players
by deepnotderp on Tuesday January 31, 2017 @04:35PM
(#13535474)
Been there, done that (well kind, of, via several small specialized nets). Actually a pretty good trading strategy, but works better if you actually have capital to use it....
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Rule #1: It's always better to trade with OPM (Other People's Money)
I was under the impression that you need some capital, but not so much that you move the market with your trades. True?
Re:AI Beats Four Top Poker Players
by deepnotderp on Tuesday January 31, 2017 @04:53PM
(#13535598)
IDK that much about the finer parts of trading, since I just approached it from a ML perspective.
What I do know is that it wasn't worth it for me personally to occupy my GPUs. By contrast, larger trading firms would probably like it.
eh, if you've got the money to be worrying about moving the market, you're using brokers' advanced execution algos and darkpools.
Re:AI Beats Four Top Poker Players
by JumpCrisscross on Tuesday January 31, 2017 @04:54PM
(#13535608)
> if you've got the money to be worrying about moving the market, you're using advanced execution strategies and darkpools
These aren't silver bullets. Both cost more, in fees, and have a habit of leaking order information across informal channels. They're also, generally, slower--there are, on average, fewer buyers and sellers for a given security in a dark pool than in the open market.
Re:AI Beats Four Top Poker Players
by brilliantcode on Tuesday January 31, 2017 @05:07PM
(#13535735)
probably not going to get any details out of you but worth trying: can you give any pointers to implement such strategies and the minimum capital involved?
A Google search result for "machine learning stock trading":
https://www.udacity.com/course/machine-learning-for-trading-...
Re:AI Beats Four Top Poker Players
by brilliantcode on Tuesday January 31, 2017 @07:36PM
(#13536965)
well to be honest I never bothered googling that exact term but I was more interested in the details around his deployment of smaller and successful neural networks as part of a portfolio.
Re:AI Beats Four Top Poker Players
by deepnotderp on Tuesday January 31, 2017 @10:32PM
(#13537986)
Basically, certain neural networks perform better at predicting different factors at different market conditions. You can string them together to get a decent trader, enough to make a profit, but not enough to justify hogging your GPUs.
As in the profit generated isn't enough to sustain the electricity cost of running the GPUs? Are you able to scale up with more initial investment? How much did you invest and what kind of return on investment were you getting?
Re:AI Beats Four Top Poker Players
by deepnotderp on Wednesday February 01, 2017 @10:13AM
(#13541269)
Not enough to justify using up the compute capabilities of my GPUs since I need them for research.
I averaged a return of 7-13% a year. With less than 1000 in capital, it wasn't very profitable.
I don't see why it shouldn't scale.