Fully Automated - LIVE Trading - $50k per month

[M.W.]

I was asking OP. I am at this point pretty convinced that he actually used deep learning methodologies not ML in the strict sense. Hardly any ML methodologies produce indecipherable algorithms and models.

I know almost nothing about Machine Learning. Except watching a few short videos on youtube on ML for chess and image processing.

But when someone says they are using ML for trading. It conjures up images in my mind of trading data (recent bars, volume etc) being fed into a neural network and a prediction comes out with probabilities for either long, short, or flat.

So i was presuming he doesn't understand sometimes because a complex neural network is involved in making the predictions for some of his strategies?

 

[themickey]

This might actually be the edge. Someone else smart early on said he thought the edge was a large account, and that may very well be true because it allows for all these strategies.

Buy and hold would achieve the same thing - no?
Buy and hold covers everything including saving money on commissions and saving time on generating 450 strategies.

 

[Overnight]

Buy and hold would achieve the same thing - no?
Buy and hold covers everything including saving money on commissions and saving time on generating 450 strategies.

Buy and hold SUX ASS these days! Grrrrr!

 

[Millionaire]

I was asking OP. I am at this point pretty convinced that he actually used deep learning methodologies not ML in the strict sense. Hardly any ML methodologies produce indecipherable algorithms and models.

I was just reading and watching more videos on this subject, many sources describe Deep Learning as a subset of Machine Learning.

I guess we should ask @frostengine if he could clarify for us if he is using Deep Learning?

 

[NoahA]

Buy and hold would achieve the same thing - no?
Buy and hold covers everything including saving money on commissions and saving time on generating 450 strategies.

Buy and hold is like working for a living. You only have so many hours a week in which to work. If you have strategies it's like trading on margin that you can scale up. You can't scale up your hard manual labor because there is only one of you and only 24 hours in a day. Of course there is no guarantee of success and it might take you 10 years to be profitable. But if in your 11th year you make just as much income as the previous 10 and then you have another 20 years to go then it clearly makes sense to keep trying.

 

[themickey]

The way I was thinking, with 450 strategies, prolly a very large number are working against each other, cancelling out the winners. So in which case, it's better to work just a couple of strategies and go longer term.
There's no free lunch with trading, every strategy has advantages and disadvantages.
Winners work a while, then they don't. Losers lose a while, then they don't.
Attempting at mkt timing is full of traps.
Logic sometimes works, often doesn't.
The more you trade, higher the costs.

 

[themickey]

If computer spits the dummy, then in deep doo doo.

 

[Millionaire]

By the way, there is an interview with Jim Simons somewhere on YouTube (he's done a lot of talks) where he actually said "it's just machine learning". So apparently, you have your own microcosm of systems that accomplish a similar objective.

Jim Simons refers to it as machine learning but then what he actually describes sounded more like regular backtesting:

Video starts at relevant bit, 29:50 minutes in

 

[themickey]

Jim Simons calls it machine learning but what he actually describes sounded more like plain old backtesting rather than machine learning:

Video set start at 29:50 minutes in

That was not my quote but @PoundTheRock.

 

[frostengine]

I was asking OP. I am at this point pretty convinced that he actually used deep learning methodologies not ML in the strict sense. Hardly any ML methodologies produce indecipherable algorithms and models.

I use the term Machine Learning as a catch all. It's easily recognizable by most without getting overly semantic. Deep learning is simply a subset of machine learning. Yes, what I do would be more considered deep learning.