
Machine Learning - Ninjatrader
$250-750 USD
Оплачивается при доставке
I need a Machine Learning Engine to Optimize entry and and exit . I have programmed a custom indicator for the Ninatrader platform that will output different 4 variables (Characters) from a set of 6 possible outcomes. To simplify I have made them Characters, ABCXYZ. Two indicators are needed so in total it will be 8 variables. In a series (look back period) of up to 10.. Example of one series of a look back of 10. There will be 8 of these.
ZZZZYYXYXX.
In essence I would like to it to recognize when which pattern of letters emerges, whether it would be a good time to buy or exit the market. I could be optimized for when a certain pattern emerges there is a n% probability it will go up or go down.
I have included an image of the indicator in use within Ninja trader so to better understand. Each color corresponds to a letter.
I would like it to work with Ninja trader but am flexible and it can be a separate application, if I can import to it a csv with the values of the variables, bar number and bar last price. . I can provide all the data necessary.
Open to ideas and suggestions.
ID проекта: #27189526
О проекте
17 фрилансеров(-а) готовы выполнить эту работу в среднем за $585
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Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, etc. I have P Больше
Hello, sir I am a professional image processing and machine learning developer. I saw your image that you attached. I already made the program to get the data from this site in c# and c++ I think that we can discuss th Больше
Hi, I have a good experience in python, machine learning and data analysis. Would love to work on such a project...
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Hi there, I have already worked eith many optimization problem and I think I can do this task too. Looking forward to discuss more in depth. Thanks
over 10 years experience of trading and programming ML, NT7 ana NT8. lets discuss more.thanks..........................