Google Stock Prediction

Context
All of the practitioners, learners in DL learning will surely come across RNN and LSTM's. So I thought let me add a dataset that can be used as a stepping stone into the Stock predictions.

Content
This dataset contains 14 columns and 1257 Rows. Each columns are assigned to a attribute and rows contains the values for that attribute.
The 14 columns are:

1. symbol : - Name of the company (in this case Google).
2. date :- year and date
3. close:- closing of stock value
4. high:- highest value of stock at that day
5. low:- lowest value of stock at that day
6. open:- opening value of stock at that day
7. volume
8. adjClose
9. adjHigh
10. adjLow
11. adjOpen
12. adjVolume
13. divCash
14. splitFactor

** Acknowledgements**
I would like to thank Tiingo for providing such a wonderful platform which maintains the financial and stock data and updates them day to day.

Predict the close and open values for the next 30 days. Can you guys do this?
Please up vote if you guys like this dataset.