Baselight

Banks Historical Stock Price

Visualize and analyze the stock prices of 6 major banks!

@kaggle.tomasmantero_banks_historical_stock_price

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About this Dataset

Banks Historical Stock Price

Context

The main objective is to provide historical information on stock prices of certain banks. The goal is to make the information easily accessible in case it cannot be downloaded directly from yahoo finance. The idea is that different behaviors in stock prices can be analyzed over time to gain a better understanding of the banking industry. You can also see how different events affect prices, such as the 2007 subprime mortgage crisis, presidential elections, major political reforms, etc.

Content

The dataset contains 99 csv files. Each file has stock information from a specific bank or Financial Service company from Jan 1st, 2006 to Nov 1st, 2020.

For instance, you can find the following banks in this dataset:

  • Bank of America (BAC)
  • CitiGroup (C)
  • Goldman Sachs (GS)
  • JPMorgan Chase (JPM)
  • Morgan Stanley (MS)
  • Wells Fargo (WFC)

Acknowledgements

Yahoo Finance | Technology Sector
SEC EDGAR | Company Filings
NASDAQ | Historical Quotes

Inspiration

Many have tried, but most have failed, to predict the stock market's ups and downs. Can you do any better? Can you create visualizations that help investors make important decisions?

More Datasets

Tables

Bx

@kaggle.tomasmantero_banks_historical_stock_price.bx
  • 151.52 kB
  • 3,380 rows
  • 7 columns
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CREATE TABLE bx (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

C

@kaggle.tomasmantero_banks_historical_stock_price.c
  • 171.94 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE c (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Cb

@kaggle.tomasmantero_banks_historical_stock_price.cb
  • 180.64 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE cb (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Cm

@kaggle.tomasmantero_banks_historical_stock_price.cm
  • 164.14 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE cm (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Cme

@kaggle.tomasmantero_banks_historical_stock_price.cme
  • 189.94 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE cme (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Cof

@kaggle.tomasmantero_banks_historical_stock_price.cof
  • 178.48 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE cof (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Cof Pf

@kaggle.tomasmantero_banks_historical_stock_price.cof_pf
  • 48.8 kB
  • 1,326 rows
  • 7 columns
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CREATE TABLE cof_pf (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Cof Pg

@kaggle.tomasmantero_banks_historical_stock_price.cof_pg
  • 44.23 kB
  • 1,088 rows
  • 7 columns
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CREATE TABLE cof_pg (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Cof Ph

@kaggle.tomasmantero_banks_historical_stock_price.cof_ph
  • 39.29 kB
  • 1,006 rows
  • 7 columns
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CREATE TABLE cof_ph (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

C Pj

@kaggle.tomasmantero_banks_historical_stock_price.c_pj
  • 65.76 kB
  • 1,810 rows
  • 7 columns
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CREATE TABLE c_pj (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

C Ps

@kaggle.tomasmantero_banks_historical_stock_price.c_ps
  • 43.86 kB
  • 1,214 rows
  • 7 columns
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CREATE TABLE c_ps (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Gs

@kaggle.tomasmantero_banks_historical_stock_price.gs
  • 186.92 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE gs (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Gs Pa

@kaggle.tomasmantero_banks_historical_stock_price.gs_pa
  • 81.4 kB
  • 2,122 rows
  • 7 columns
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CREATE TABLE gs_pa (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Gs Pd

@kaggle.tomasmantero_banks_historical_stock_price.gs_pd
  • 113.26 kB
  • 3,656 rows
  • 7 columns
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CREATE TABLE gs_pd (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Gs Pj

@kaggle.tomasmantero_banks_historical_stock_price.gs_pj
  • 71.21 kB
  • 1,912 rows
  • 7 columns
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CREATE TABLE gs_pj (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Gs Pk

@kaggle.tomasmantero_banks_historical_stock_price.gs_pk
  • 57.37 kB
  • 1,660 rows
  • 7 columns
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CREATE TABLE gs_pk (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Gs Pn

@kaggle.tomasmantero_banks_historical_stock_price.gs_pn
  • 44.82 kB
  • 1,201 rows
  • 7 columns
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CREATE TABLE gs_pn (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Hdb

@kaggle.tomasmantero_banks_historical_stock_price.hdb
  • 184.99 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE hdb (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Hsbc

@kaggle.tomasmantero_banks_historical_stock_price.hsbc
  • 167.79 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE hsbc (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Ibn

@kaggle.tomasmantero_banks_historical_stock_price.ibn
  • 163.77 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE ibn (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Ice

@kaggle.tomasmantero_banks_historical_stock_price.ice
  • 189.8 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE ice (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Ing

@kaggle.tomasmantero_banks_historical_stock_price.ing
  • 143.87 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE ing (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Jpm

@kaggle.tomasmantero_banks_historical_stock_price.jpm
  • 179.18 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE jpm (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Lfc

@kaggle.tomasmantero_banks_historical_stock_price.lfc
  • 164.07 kB
  • 3,749 rows
  • 7 columns
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CREATE TABLE lfc (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "adj_close" DOUBLE
);

Lu

@kaggle.tomasmantero_banks_historical_stock_price.lu
  • 6.11 kB
  • 16 rows
  • 7 columns
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CREATE TABLE lu (
  "date" TIMESTAMP,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "adj_close" DOUBLE
);

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