Name: S&P 500 Stock Prices
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

S&P 500 Stock Prices

Context

Stock market data can be interesting to analyze, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I view a dataset with historical stock prices for all companies on the S&P 500 index.

Content

All the files have the following columns:

Date - in format: yy-mm-dd

Open - price of the stock at market open (this is NYSE data so all in USD)

High - highest price reached in the day

Low - lowest price reached in the day

Close - close price

Volume - number of shares traded

Acknowledgements

Thanks to Kaggle, Github, yahoo finance.

Purpose of creating the dataset

This dataset lends itself to a some very interesting visualizations. One can look at simple things like how prices change over time, graph an compare multiple stocks at once, or generate and graph new metrics from the data provided.
From these data informative stock stats such as volatility and moving averages can be easily calculated.
And people can build quantitative models such as: build portfoio, predict volatility, arbitrage, trading strategies.

Tables

D

@kaggle.artemburenok_sp_500_stock_prices.d

382.52 kB
10,779 rows
7 columns

CREATE TABLE d (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dal

@kaggle.artemburenok_sp_500_stock_prices.dal

175.45 kB
3,933 rows
7 columns

CREATE TABLE dal (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dd

@kaggle.artemburenok_sp_500_stock_prices.dd

481.22 kB
12,745 rows
7 columns

CREATE TABLE dd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

De

@kaggle.artemburenok_sp_500_stock_prices.de

473.38 kB
12,745 rows
7 columns

CREATE TABLE de (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dfs

@kaggle.artemburenok_sp_500_stock_prices.dfs

187.56 kB
3,904 rows
7 columns

CREATE TABLE dfs (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dg

@kaggle.artemburenok_sp_500_stock_prices.dg

164.39 kB
3,293 rows
7 columns

CREATE TABLE dg (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dgx

@kaggle.artemburenok_sp_500_stock_prices.dgx

284.4 kB
6,542 rows
7 columns

CREATE TABLE dgx (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dhi

@kaggle.artemburenok_sp_500_stock_prices.dhi

313.84 kB
7,689 rows
7 columns

CREATE TABLE dhi (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dhr

@kaggle.artemburenok_sp_500_stock_prices.dhr

421.97 kB
11,085 rows
7 columns

CREATE TABLE dhr (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dis

@kaggle.artemburenok_sp_500_stock_prices.dis

577.77 kB
15,344 rows
7 columns

CREATE TABLE dis (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Dish

@kaggle.artemburenok_sp_500_stock_prices.dish

276.08 kB
6,920 rows
7 columns

CREATE TABLE dish (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dlr

@kaggle.artemburenok_sp_500_stock_prices.dlr

220.63 kB
4,563 rows
7 columns

CREATE TABLE dlr (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dltr

@kaggle.artemburenok_sp_500_stock_prices.dltr

309.78 kB
6,994 rows
7 columns

CREATE TABLE dltr (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dov

@kaggle.artemburenok_sp_500_stock_prices.dov

418.89 kB
10,779 rows
7 columns

CREATE TABLE dov (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dow

@kaggle.artemburenok_sp_500_stock_prices.dow

49.88 kB
943 rows
7 columns

CREATE TABLE dow (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dpz

@kaggle.artemburenok_sp_500_stock_prices.dpz

220.88 kB
4,640 rows
7 columns

CREATE TABLE dpz (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dri

@kaggle.artemburenok_sp_500_stock_prices.dri

304.29 kB
6,950 rows
7 columns

CREATE TABLE dri (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dte

@kaggle.artemburenok_sp_500_stock_prices.dte

473.51 kB
15,344 rows
7 columns

CREATE TABLE dte (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Duk

@kaggle.artemburenok_sp_500_stock_prices.duk

398.99 kB
10,779 rows
7 columns

CREATE TABLE duk (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dva

@kaggle.artemburenok_sp_500_stock_prices.dva

296.39 kB
6,828 rows
7 columns

CREATE TABLE dva (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dvn

@kaggle.artemburenok_sp_500_stock_prices.dvn

350.93 kB
9,427 rows
7 columns

CREATE TABLE dvn (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dxc

@kaggle.artemburenok_sp_500_stock_prices.dxc

399.12 kB
10,326 rows
7 columns

CREATE TABLE dxc (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Dxcm

@kaggle.artemburenok_sp_500_stock_prices.dxcm

201.82 kB
4,449 rows
7 columns

CREATE TABLE dxcm (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Ea

@kaggle.artemburenok_sp_500_stock_prices.ea

345.58 kB
8,374 rows
7 columns

CREATE TABLE ea (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Ebay

@kaggle.artemburenok_sp_500_stock_prices.ebay

291.99 kB
6,096 rows
7 columns

CREATE TABLE ebay (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);