Name: Google Stock Prediction
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

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:

symbol : - Name of the company (in this case Google).
date :- year and date
close:- closing of stock value
high:- highest value of stock at that day
low:- lowest value of stock at that day
open:- opening value of stock at that day
volume
adjClose
adjHigh
adjLow
adjOpen
adjVolume
divCash
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.

Tables

Goog

@kaggle.shreenidhihipparagi_google_stock_prediction.goog

96.64 kB
1,258 rows
14 columns

CREATE TABLE goog (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT,
  "adjclose" DOUBLE,
  "adjhigh" DOUBLE,
  "adjlow" DOUBLE,
  "adjopen" DOUBLE,
  "adjvolume" BIGINT,
  "divcash" DOUBLE,
  "splitfactor" DOUBLE
);