Baselight

S&P500 Stock Prices

Historical stock price data of all S&P500 companies

@kaggle.rprkh15_sp500_stock_prices

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About this Dataset

S&P500 Stock Prices

Context

The Standard and Poor's 500 is a stock market index tracking the performance of 500 large companies listed on stock exchanges in the United States. It is one of the most commonly followed equity indices. As of December 31, 2020, more than $5.4 trillion was invested in assets tied to the performance of the index.

Inspiration

This dataset can be used to create some interesting visualizations and identify how stock prices of a particular company vary over time. Working with stock data is one of the best ways to get acquainted with timeseries forecasting. Can you create a model to stay one step ahead of the market and make statistically informed trading decisions?

Content

The naming convention of the files are in the form ticker.csv. The individual files contain the historical stock price data of that company. All the files have the following columns:

  • Date: The date is in the format yy-mm-dd
  • Open: Price of the stock when the market opens
  • High: Highest price reached in the day
  • Low: Lowest price reached in the day
  • Close: Price of the stock when the market closes
  • Volume: Number of shares traded in a day
  • Dividends: The dividends of the stock
  • Stock Splits: The stock splits of the company. In a stock split, a company divides its existing stock into multiple shares to boost liquidity.

Acknowledgement

Credits to Yahoo Finance that simplified the process of scraping stock data.

Tables

Cag

@kaggle.rprkh15_sp500_stock_prices.cag
  • 505.56 kB
  • 10,671 rows
  • 8 columns
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CREATE TABLE cag (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cah

@kaggle.rprkh15_sp500_stock_prices.cah
  • 459.1 kB
  • 9,815 rows
  • 8 columns
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CREATE TABLE cah (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Carr

@kaggle.rprkh15_sp500_stock_prices.carr
  • 35.3 kB
  • 583 rows
  • 8 columns
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CREATE TABLE carr (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" BIGINT
);

Cat

@kaggle.rprkh15_sp500_stock_prices.cat
  • 718.14 kB
  • 15,236 rows
  • 8 columns
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CREATE TABLE cat (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cb

@kaggle.rprkh15_sp500_stock_prices.cb
  • 373.95 kB
  • 7,378 rows
  • 8 columns
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CREATE TABLE cb (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cboe

@kaggle.rprkh15_sp500_stock_prices.cboe
  • 156.13 kB
  • 3,040 rows
  • 8 columns
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CREATE TABLE cboe (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" BIGINT
);

Cbre

@kaggle.rprkh15_sp500_stock_prices.cbre
  • 179.45 kB
  • 4,553 rows
  • 8 columns
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CREATE TABLE cbre (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" BIGINT,
  "stock_splits" DOUBLE
);

Cci

@kaggle.rprkh15_sp500_stock_prices.cci
  • 306.77 kB
  • 6,014 rows
  • 8 columns
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CREATE TABLE cci (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" BIGINT
);

Ccl

@kaggle.rprkh15_sp500_stock_prices.ccl
  • 435.29 kB
  • 8,812 rows
  • 8 columns
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CREATE TABLE ccl (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cday

@kaggle.rprkh15_sp500_stock_prices.cday
  • 50.35 kB
  • 1,060 rows
  • 8 columns
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CREATE TABLE cday (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" BIGINT,
  "stock_splits" BIGINT
);

Cdns

@kaggle.rprkh15_sp500_stock_prices.cdns
  • 273.79 kB
  • 8,843 rows
  • 8 columns
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CREATE TABLE cdns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" BIGINT,
  "stock_splits" DOUBLE
);

Cdw

@kaggle.rprkh15_sp500_stock_prices.cdw
  • 121.39 kB
  • 2,276 rows
  • 8 columns
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CREATE TABLE cdw (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" BIGINT
);

Ce

@kaggle.rprkh15_sp500_stock_prices.ce
  • 231.27 kB
  • 4,398 rows
  • 8 columns
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CREATE TABLE ce (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" BIGINT
);

Ceg

@kaggle.rprkh15_sp500_stock_prices.ceg
  • 11.84 kB
  • 120 rows
  • 8 columns
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CREATE TABLE ceg (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" BIGINT
);

Cf

@kaggle.rprkh15_sp500_stock_prices.cf
  • 226.94 kB
  • 4,258 rows
  • 8 columns
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CREATE TABLE cf (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cfg

@kaggle.rprkh15_sp500_stock_prices.cfg
  • 105.02 kB
  • 1,963 rows
  • 8 columns
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CREATE TABLE cfg (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" BIGINT
);

Chd

@kaggle.rprkh15_sp500_stock_prices.chd
  • 445.62 kB
  • 10,671 rows
  • 8 columns
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CREATE TABLE chd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Chrw

@kaggle.rprkh15_sp500_stock_prices.chrw
  • 321.65 kB
  • 6,224 rows
  • 8 columns
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CREATE TABLE chrw (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Chtr

@kaggle.rprkh15_sp500_stock_prices.chtr
  • 139.14 kB
  • 3,151 rows
  • 8 columns
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CREATE TABLE chtr (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" BIGINT,
  "stock_splits" BIGINT
);

Ci

@kaggle.rprkh15_sp500_stock_prices.ci
  • 511.74 kB
  • 10,156 rows
  • 8 columns
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CREATE TABLE ci (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cinf

@kaggle.rprkh15_sp500_stock_prices.cinf
  • 472.76 kB
  • 10,671 rows
  • 8 columns
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CREATE TABLE cinf (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cl

@kaggle.rprkh15_sp500_stock_prices.cl
  • 589.21 kB
  • 12,408 rows
  • 8 columns
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CREATE TABLE cl (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Clx

@kaggle.rprkh15_sp500_stock_prices.clx
  • 537.24 kB
  • 12,457 rows
  • 8 columns
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CREATE TABLE clx (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cma

@kaggle.rprkh15_sp500_stock_prices.cma
  • 476.24 kB
  • 10,671 rows
  • 8 columns
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CREATE TABLE cma (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

Cmcsa

@kaggle.rprkh15_sp500_stock_prices.cmcsa
  • 491.06 kB
  • 10,671 rows
  • 8 columns
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CREATE TABLE cmcsa (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "dividends" DOUBLE,
  "stock_splits" DOUBLE
);

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