Is this a valid trick of the trade for doing artificial intelligence in trading?
The trick, then, is to take a more thoughtful approach to deploying AI. Technical prowess obviously matters; Sentient employs a couple of dozen AI experts and constantly researches new methods. But business models matter enormously, too.
Apparently hedge funds have a limit on how they apply artificial intelligence. What are they?
The classification system that gauges the relative merits of these strategies is itself run by machine learning. But humans do the actual trading, following the algorithm’s instructions.
As you know, I do like programming for the right reasons. The more challenging type of programming is based around high-frequency trading which attracted me to this whole business that I focus on. From time to time, I like to post C++ coding tricks that may be useful for those trying to launch some kind of indie algo/automated trading business.
In yesterday’s email, I introduced you to the Kelly Criterion for self-adapting money management. Today, I want to introduce you to a scenario on my analytics on trading VIX for highly volatile market regimes. While doing this, you can tell various patterns which could also be extended to make your trading decisions even better timed automatically which results in more success! This just keeps getting better and better as I introduce new videos. I can’t wait to get it up and running once I finish off the other phases of this new algo trading system.
All right, as I’ve mentioned about this training course for automated trading, I’m starting to figure out this is probably the only place you’ll be able to fully appreciate an “end to end” automated trading solution you own and control. In coming days, I’m will put together an actual schedule of all the various major phases in learning about the system. Please stay tuned.