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

Rtx

@kaggle.artemburenok_sp_500_stock_prices.rtx

566.07 kB
15,281 rows
7 columns

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

Sbac

@kaggle.artemburenok_sp_500_stock_prices.sbac

274.59 kB
5,914 rows
7 columns

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

Sbny

@kaggle.artemburenok_sp_500_stock_prices.sbny

216.12 kB
4,716 rows
7 columns

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

Sbux

@kaggle.artemburenok_sp_500_stock_prices.sbux

335.42 kB
7,674 rows
7 columns

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

Schw

@kaggle.artemburenok_sp_500_stock_prices.schw

355.62 kB
8,879 rows
7 columns

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

Sedg

@kaggle.artemburenok_sp_500_stock_prices.sedg

96.27 kB
1,945 rows
7 columns

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

See

@kaggle.artemburenok_sp_500_stock_prices.see

371.25 kB
10,779 rows
7 columns

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

Shw

@kaggle.artemburenok_sp_500_stock_prices.shw

411.3 kB
10,779 rows
7 columns

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

Sivb

@kaggle.artemburenok_sp_500_stock_prices.sivb

338.04 kB
8,855 rows
7 columns

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

Sjm

@kaggle.artemburenok_sp_500_stock_prices.sjm

284.72 kB
7,081 rows
7 columns

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

Slb

@kaggle.artemburenok_sp_500_stock_prices.slb

409.76 kB
10,326 rows
7 columns

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

Sna

@kaggle.artemburenok_sp_500_stock_prices.sna

417.58 kB
12,565 rows
7 columns

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

Snps

@kaggle.artemburenok_sp_500_stock_prices.snps

302.31 kB
7,759 rows
7 columns

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

So

@kaggle.artemburenok_sp_500_stock_prices.so

357.73 kB
10,326 rows
7 columns

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

Spg

@kaggle.artemburenok_sp_500_stock_prices.spg

329.45 kB
7,303 rows
7 columns

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

Spgi

@kaggle.artemburenok_sp_500_stock_prices.spgi

448.07 kB
12,565 rows
7 columns

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

Sre

@kaggle.artemburenok_sp_500_stock_prices.sre

278.01 kB
6,157 rows
7 columns

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

Ste

@kaggle.artemburenok_sp_500_stock_prices.ste

293.06 kB
7,693 rows
7 columns

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

Stt

@kaggle.artemburenok_sp_500_stock_prices.stt

400.91 kB
10,779 rows
7 columns

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

Stx

@kaggle.artemburenok_sp_500_stock_prices.stx

228.83 kB
5,037 rows
7 columns

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

Stz

@kaggle.artemburenok_sp_500_stock_prices.stz

312.95 kB
7,745 rows
7 columns

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

Swk

@kaggle.artemburenok_sp_500_stock_prices.swk

395.09 kB
10,779 rows
7 columns

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

Swks

@kaggle.artemburenok_sp_500_stock_prices.swks

339.75 kB
9,646 rows
7 columns

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

Syf

@kaggle.artemburenok_sp_500_stock_prices.syf

96.53 kB
2,109 rows
7 columns

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

Syk

@kaggle.artemburenok_sp_500_stock_prices.syk

403.96 kB
10,779 rows
7 columns

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