Machine learning in trading: theory, models, practice and algo-trading - page 3654

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It was a joke.
I see you all are watching my every word.))
And the nine final and irrevocable farewells to the forum in all the threads this week - also her?
And the nine final and irrevocable farewells to the forum in all the threads this week - also her?
I said goodbye to the branches, not the forum.
Now I'll say goodbye to yours.))))
Byeaaaah!!!
Programming is still the same every once in a while, no difference in quality, only waiting longer.
It's rubbish, I don't like this kind of AI.
It is even funny, so much time in the thread to discuss basic concepts that even MQ dealt with in 2008 in his article.
Let's start with the immersion phase. As we are about to see, despite the fact that predictions seem to be anextrapolation of data , neural networks actually solve the problem ofinterpolation, which significantly increases the reliability of the solution. Time series prediction is reduced to a typical neuroanalysis problem - approximating a function of many variables from a given set of examples - using a procedure ofimmersing the series in a multidimensional space (Weigend, 1994).
Quite interesting thoughts arise regarding trading (manual component) when watching this lecture.
The 1st place in the competition went to a guy who used convolutional networks on DAG's (DAG's), as far as I understood :)
Some other teams from universities, Brazilians and Chinese took prizes.
Since the fifth hour about the viners. And the main rating on the site they have not updated, I'm on 98th place out of 7500 and still hanging.
This is unusual of course. Maybe luck.
It's unusual, of course. Maybe it's luck.
Maybe not in the pictures. I've tried them, too, no gain. Must be some kind of special process to cook them.
Maybe not in the pictures. I've tried them too, no gain. There must be some special process for cooking them.
That's why it makes sense to invent something of your own, to be ahead of others at some point....
I was thinking today that the machine learning business is very unstable if you're not always first. But is it realistic to be? Are there any examples of someone who has been selling their product on models successfully for 10 years? Well, if only by blag, to sell software to medics through the ministry or similar sales channels...
That's why it makes sense to invent something of your own, to be ahead of the others for a moment.....
I was thinking today that the machine learning business is very unstable if you're not always first. But is it realistic to be? Are there any examples of someone who has been selling their product on models successfully for 10 years? Well, if only by blag, to sell software to medics through the ministry or similar sales channels...
More often they earn money on implementation and maintenance of existing ones )