Baselight

Google Trends Financial Terms—Daily And Weekly

Google Trends (daily and weekly) data over large (2004—2020).

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01

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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

Investment

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.investment
  • 61.66 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE investment (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Kitchen

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.kitchen
  • 61.61 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE kitchen (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Labor

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.labor
  • 59.05 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE labor (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Leverage

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.leverage
  • 60.54 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE leverage (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Lifestyle

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.lifestyle
  • 61.62 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE lifestyle (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Loss

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.loss
  • 60.8 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE loss (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Markets

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.markets
  • 61.61 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE markets (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Marriage

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.marriage
  • 59.76 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE marriage (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Metals

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.metals
  • 61.65 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE metals (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Money

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.money
  • 60.77 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE money (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Movie

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.movie
  • 61.59 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE movie (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Nasdaq

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.nasdaq
  • 61.58 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE nasdaq (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Nyse

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.nyse
  • 57.01 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE nyse (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Office

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.office
  • 61.61 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE office (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Oil

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.oil
  • 60.78 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE oil (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Opportunity

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.opportunity
  • 60.7 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE opportunity (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Ore

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.ore
  • 61.67 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE ore (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Politics

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.politics
  • 60.73 kB
  • 6,012 rows
  • 2 columns
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CREATE TABLE politics (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Portfolio

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.portfolio
  • 61.61 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE portfolio (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Present

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.present
  • 61.66 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE present (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Profit

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.profit
  • 61.61 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE profit (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Religion

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.religion
  • 61.57 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE religion (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Restaurant

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.restaurant
  • 60.79 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE restaurant (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Return

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.return
  • 61.63 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE return (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

Returns

@kaggle.cristianperezjensen_google_trends_financial_terms_dail_6e204f01.returns
  • 60.8 kB
  • 6,011 rows
  • 2 columns
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CREATE TABLE returns (
  "date" TIMESTAMP,
  "adjusted" DOUBLE
);

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