Name: Google Trends Financial Terms—Daily And Weekly
Creator: Kaggle
License: http://opendatacommons.org/licenses/odbl/1.0/

About this Dataset

Google Trends Financial Terms—Daily And Weekly

Context

For a project of mine, I wanted to use Google Trends data to predict the stock market. However, over large timespans, only monthly data is provided, so I had to use this data—together with the daily and weekly data from smaller timespans—to create daily and weekly data over the large timespan. I have created a script for this purpose, and thought I would share the data from 98 financial keywords.

Content

In each file there are only two columns; "date" and "adjusted". "date" is obviously the date. "adjusted" is the adjusted data, derived from the monthly and weekly data — in the case of the daily data.

Tables

Revenue

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.revenue

60.77 kB
6,011 rows
2 columns

CREATE TABLE revenue (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Rich

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.rich

60.76 kB
6,011 rows
2 columns

CREATE TABLE rich (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Ring

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.ring

60.8 kB
6,012 rows
2 columns

CREATE TABLE ring (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Risk

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.risk

61.64 kB
6,012 rows
2 columns

CREATE TABLE risk (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Sell

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.sell

61.6 kB
6,011 rows
2 columns

CREATE TABLE sell (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Society

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.society

61.63 kB
6,011 rows
2 columns

CREATE TABLE society (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Stock Market

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.stock_market

59.76 kB
6,011 rows
2 columns

CREATE TABLE stock_market (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Stocks

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.stocks

61.6 kB
6,011 rows
2 columns

CREATE TABLE stocks (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Success

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.success

59.91 kB
6,012 rows
2 columns

CREATE TABLE success (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Tourism

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.tourism

61.67 kB
6,012 rows
2 columns

CREATE TABLE tourism (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Trader

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.trader

60.77 kB
6,012 rows
2 columns

CREATE TABLE trader (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Train

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.train

60.75 kB
6,012 rows
2 columns

CREATE TABLE train (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Transaction

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.transaction

61.66 kB
6,012 rows
2 columns

CREATE TABLE transaction (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Travel

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.travel

60.76 kB
6,011 rows
2 columns

CREATE TABLE travel (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Unemployment

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.unemployment

61.05 kB
6,011 rows
2 columns

CREATE TABLE unemployment (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

War

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.war

60.75 kB
6,012 rows
2 columns

CREATE TABLE war (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Water

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.water

59.89 kB
6,011 rows
2 columns

CREATE TABLE water (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

World

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.world

60.24 kB
6,012 rows
2 columns

CREATE TABLE world (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);