Machine learning in trading: theory, models, practice and algo-trading - page 3425
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I put "a" on purpose to emphasise the attitude of the bourgeoisie to the curiosity.
I just got an "A" in my essays. I still do.
Well, I used to get 2/5 or on holidays 3/5 on my essays....
It's been counting for 4 hours! In python, 20 minutes was enough for the same volumes. In python, however, more cores were used at once.
Yeah, I remember it counting slowly too. Forests are faster.
I am writing my tree code to try to convert it to python via ChatGPT - I think it will be possible to learn and pull out cluster coordinates there, and apply it to MT5.
I'm writing my tree code to try to convert to python via ChatGPT - I think it will be possible to learn and pull out cluster coordinates there, and apply it to MT5.
in python there is a tree in lib sklearn, which is almost completely convertible to onnx
and chatgpt knows python very well.
I still don't understand what's holding you back.
I thought so, from having previously written in private about the successful period, and decided to discuss the unsuccessful one publicly.
It is difficult to understand a person correctly when his thoughts and emotions are not synchronised with his deeds. It's nice if it's the way you write.
In the current settings of the TS, it is such an end of the trend with a transition to flat that is the most detrimental phenomenon, as the closing occurs at SMA 176. There are a lot of other options of behaviour in this situation in the code, but their setting is not public, and may need to be corrected after transferring the logic of the EA from MT4. No sales - so low priority on development - originally thought that I will open new features for users as the EA is sold.
I criticised your attitude to risks, but I did not gloat anywhere.
What about strong AI? multi-task learning should also be suitable when you learn on different tasks
It's a long and complicated topic, in essence it copies the brain with its algorithms, and neural networks are not about the brain at all....
the gist of it, in a nutshell.
Humans can transfer their experience to new knowledge that is not similar to past knowledge, but neurons can't....
A few simple hypothetical examples.
Tesla, AI, it's driving itself, yoo-hoo, it's 99.95 per cent wrong.
So this drop will never be achieved because of the combinatorial explosion, there will never be a representative enough sample of rare examples in the real world. (Our brains have learnt to cope with this and it's not neural networks).
For example, there are already a million autopilots driving around the world learning every day, huge statistics...
But don't risk crossing the road on your hands upside down, or two people crossing the road with one of them on their hands and the other one holding their legs...
There's a good chance you'll be swept away by a Tesla in that position and not stopped.
Another example, we all know what a table is and neuronka can be taught the concept of a table, but under certain circumstances a window sill can become a table and a stump in the forest during a picnic can become a table and an operating table is also a table and a person understands it all even if he has used only one kitchen table all his life. And for neuronics, a table is what everyone eats at in the kitchen, full stop.
That's a good point. I don't understand why the pattern is not common to both sides, and what in the original price series should indicate that.
I just got an "A" in my essays. I still do.
Let me read)))))
Read please, here on the forum )