Machine learning in trading: theory, models, practice and algo-trading - page 1914

 
Viktar DayTrader:

I also smile when I read that someone has invented another grail)))) So good luck again)

There is a very interesting task - to forecast price movement using neural networks. This problem is solvable and there are already working solutions. Why does everybody focuses on getting profit? It is like learning to fly, but do not consider any flight until you reach the moon.
You cannot make a profitable trading neuronet out of nothing at once. First you have to learn how to predict something, then use this experience to understand the nature of the object you are investigating and learn how to work with it. Improve the network, raise the quality, and only then this quality will inevitably grow to successful trades.

Everyone is locked into deals, and there is no process of research and gradual growth. At every stage there has to be a result, a real prediction, even if it is of low quality. It is necessary to get a result, consolidate and then move on.

If you think in terms of profit/loss this problem will never be solved. You'd better give 100K for a sensible research with sensible explainable results.

 

Man, such interesting structures can be obtained in a compressed feature space, I don't know how to apply them, but it's fascinating.)


Two PCA features are presented in 3D umap space


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two indicators in three-dimensional space


 
mytarmailS:

))))


You know, maybe you should not look for such people on forums where stochastics optimize?

Maybe it is necessary to look for such people at specialized departments, and at several of them.


At one time people did not believe that it was possible to fly... The first flight happened and 86 years later we flew into space...


Here's how a robot trades with a knowledgeable person who has devoted his life to clever algorithms.


I could give you his contacts, but he doesn't need you, neither with his hundred, nor with a million, why? the answer is obvious and it is in the picture if you think about it


If you live on an island in a tribe and no one there can speak English, it's impossible to speak English, isn't it? )))))))

Are the numbers on the screen a measure of what?
 
Renat Akhtyamov:
numbers on the screenshot - this is a measure of what?

The time of entry/exit, fin. res. may be something else, the white color of the font is the deal in the plus, orange in the minus.

 
mytarmailS:

entry/exit time, fin. res. may be something else, white color font deal in the plus, orange in the minus

see

neuronics?

 
mytarmailS:

Oh, don't you start with that...

ok mom's driver, i'm sick of you already sperdalai a lot

ahahahahah))))) there goes the shit out of all the cracks))))) the pictures they draw here ))))) clowns) my friend trades ahahahahahah))))))) keep predicting stochastics) dilettante

 
Evgeny Dyuka:

There is a very interesting task - to predict the price movement with the help of neural networks. This problem is solvable and there are already working solutions. Why does everybody cycles on making profit? It is like learning to fly, but do not consider any flight as a result until you reach the moon.
You cannot make a profitable trading neuronet out of nothing at once. First you have to learn how to predict something, then use this experience to understand the nature of the object you are investigating and learn how to work with it. Improve the network, raise the quality, and only then this quality will inevitably grow to successful trades.

Everyone is locked into deals, and there is no process of research and gradual growth. At each stage, there has to be a result, a real prediction, even if it is of low quality. It is necessary to get a result, consolidate and then move on.

If you think in terms of profit/loss this problem will never be solved. You would have been better to give 100K for a sensible study with intelligible explainable results.

I could put a million into the fund, no problem. Only it's like an experiment on psychics - what with 1966 1 million dollars to anyone who proves his psychic abilities.But so far no one has proved.There have been attempts, but alas. And the rest of the mass of psychics says that they can easily take this million, but they do not need it))) Quite like the one who posted above pictures of his friend - he does not need either hundreds or millions of dollars. This is an unpromising job at the moment.

 
Viktar DayTrader:

I can put a million dollars into the fund, no problem. Only it's all like an experiment on psychics - that with 1966 1 million dollars to anyone who proves their psychic abilities.But so far no one has proved.There have been attempts, but alas. And the rest of the mass of psychics says that they can easily take this million, but they do not need it))) Quite like the one who posted above pictures of his friend - he does not need either hundreds or millions of dollars. This is an unpromising job at the moment.

I've got a neural network working for 4 months now, which predicts the movement of four pairs. Its quality is better than any indicator, I demonstrate it publicly. I can not give the link, otherwise the admins will get hysterical again, because there are a couple of paid services there. But in any case this is a real neural network and it really sees and predicts something.
 
Renat Akhtyamov:

got it

neuronics?

There are neuronics and adaptive filtering and spectral analysis and Q-learning and clustering and training with a teacher, in which the teacher himself, he pokes the points on the graph where you need to enter and punishes the robot himself when he makes a mistake. The robot is adaptive, it acquires new knowledge and forgets old ones if necessary, so it is a real beast.

 
Evgeny Dyuka:
I've had a neural network that predicts the movement of four pairs for four months now. It is of higher quality than any indicator, I demonstrate it publicly. I can not give the link, otherwise the admin will be hysterical again because there are a couple of paid services. But in any case it is a real neural network and it really sees and predicts something.
You are really very good. The problem of most network developers is that they teach the network to predict the price changes. They poorly understand the mechanics of the market, because they know that the market is far from being chaotic. You need to know who changes the price and how, and teach the network to see who will change the price. If you give a network garbage to enter, you will also receive garbage. You do not need any indicators and other rubbish. Find someone who will tell you how the position for price changes is acquired, how the price behaves, how the mechanism of all this happens - teach the network to see these changes and the whole world is at your feet.
Reason: