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borisbanushev / stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
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Apply for access to the full code #322

Open AnnanWangDaniel opened 2 years ago

AnnanWangDaniel commented 2 years ago

Hi Boris,

Your project is awesome and inspiring. I am confident it will perform even better if a few more features can be added. I created this pull request for access to the full projects as required in the article. Would you kindly grant it or send to my email: C190190@e.ntu.edu.sg?

Best regards, Daniel

w1767 commented 2 years ago

Hi Boris, Thank you for sharing this great work.

Could you please share the source code. I am currently doing a PhD in Machine Learning.

My e-mail address is w1767944@my.westminster.ac.uk

Best regards, George

chen824 commented 2 years ago

Hi Boris,

THANK YOU SO MUCH for sharing your research work to us. The topic is fantastic and state-of-art. I am a quant researcher in a hedge fund in HongKong and do the relevant research recently. By following your code, some points are still confusing for me, for example how exactly the GAN network was built and how the data was fed into CNN combined with true data and synthetic time series data. If its possible, can you please share your full code of project with me? I would appreciate it if you would like to do so. My Email address is : 774423675@qq.com.

Best, CHEN

w1767 commented 2 years ago

Dear Boris,

I am a PhD student in machine learning. I found your research quite interesting. Could you pleaser share the full code with me.

Thank you,

George

From: chen824 @.> Sent: 18 April 2022 03:54 To: borisbanushev/stockpredictionai @.> Cc: w1767 @.>; Comment @.> Subject: Re: [borisbanushev/stockpredictionai] Apply for access to the full code (PR #322)

Hi Boris,

THANK YOU SO MUCH for sharing your research work to us. The topic is fantastic and state-of-art. I am a quant researcher in a hedge fund in HongKong and do the relevant research recently. By following your code, some points are still confusing for me, for example how exactly the GAN network was built and how the data was fed into CNN combined with true data and synthetic time series data. If its possible, can you please share your full code of project with me? I would appreciate it if you would like to do so. My Email address is : @. @.> .

Best, CHEN

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ArjonArts commented 2 years ago

Hi Boris,

First of all, thank you for sharing your knowledge with the rest of the world. I am a Master student at a University in the Netherlands and I am very interested in your project. However, I am still a little confused about how it is all connected and how it internally works. Therefore, if possible, I would like to get a better look at your code. Could you please send the code to the following email address: arjonarts98@gmail.com

Thanks in advance,

Arjon

MrR8bot commented 2 years ago

Hi Boris, Thank you for sharing this great work.

Could you please share the source code. I am currently doing a Masters in Machine Learning. I just started learning, but I found your project really interesting, but I got gapsfollowing the code on my own. Can you please grant me access to the full source code.

My e-mail address is [mrr8bot@gmail.com](mailto:mrr8bot@gmail.com

Best regards, Manuel