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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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could you please provide data and full code #13

Open michaelxu1107 opened 5 years ago

michaelxu1107 commented 5 years ago

Hi, boris: I am interested at your project, i am trying to replicate your work and apply it to other stocks, could you please provide data and full code? any help will be really appreciated, thank you

dpsugasa commented 5 years ago

Likewise, this is a very interesting approach with a number of new concepts. The full code would be great! thanks!

jsabhishek commented 5 years ago

Please provide the data and the code. @borisbanushev

qingzew commented 5 years ago

Please provide the data and the code. @borisbanushev

alex-x-sun commented 5 years ago

@borisbanushev Hi Boris, If you cannot provide data, the data source would be great. Thanks!

jsabhishek commented 5 years ago

Thanks a lot @marvin-hansen !!

yohay13 commented 5 years ago

I did a test and trained the agent on just 250 days of daily close data. However, on Sunday (Apr/7/2019), the agent gave a SELL signal for AMZN based on the closing price from the previous Friday, which was 1,692.43. By Monday, (Apr/8/2019), AMZ was down to 1,620.80.

@marvin-hansen the prices for AMZN on April 19 weren't in the 1600s...

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