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I'm following the GitHub, copying and pasting, and NOTHING works in it. I get a runtime error on everything besides the import, and reset_graph().
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Hello Jakob,
Thank you for this inspiring, well written piece of code !
I noticed results differ when using in-memory training & out-of-memory generative training. I did not modify the code otherw…
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Model.py creates stock price:
stock_price = np.exp(np.reshape(prediction, (1,)))*stock_data_test[i]
Stock price (from testing list) always multiplied with same constant coming from prediction. Tha…
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# "Caffeine Injection" Deliverable
## Info
- Name: **Caffeine Injection**
- Type: **Video**
- Campaign: [Reality Shock](campaigns/reality-shock/README.md)
- General discussion: [This…
ghost updated
5 years ago
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I only went through the readme. The aim stated there is to predict stock returns, so why evaluate the algorithm using stock prices?
Predicting prices with great accuracy is very easy: predict that…
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Hi Benji!
your code is very inspiring and i tried to develop a model that foresees two time-steps forward
In this regard I modified the `data_load` function so that it takes `n` steps backward i…
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Thanks for putting this code/blog together. Unfortunately your approach suffers from the same problems as other projects that use deep learning to *forecast* stock prices. You can review the comments …
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Hello everybody,
I have a set of data, lets say like below:
![screenshot from 2018-09-22 00-40-00](https://user-images.githubusercontent.com/20498500/45909164-a1491980-be00-11e8-954b-54efa1bd81e…
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Wondering if your code will be updated to a new historical data gathering tool as yahoo-finance doesn't work anymore? Maybe iexfinance or Alpha Vantage. And could the predictive model use .csv files i…
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Hat tip @simontegg
http://www.wsj.com/articles/the-future-of-the-internet-is-flow-1443796858
I maybe 10% believe it, I believe some of the comments more. But it certainly fits the theme here...