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Brain Wikipedia Page Views for US Stocks

Brain Company
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#
COMPOSITE_FIGI
TICKER
NUMBER_VIEWS_1
BUZZ_1
NUMBER_VIEWS_7
BUZZ_7
NUMBER_VIEWS_30
BUZZ_30
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx
2 Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx
3 xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx
4 xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx
5 Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx
6 xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx
7 Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx
8 xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx
9 Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx
10 xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx
... xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx
Request Data Sample
Volume
1K
stocks
Avail. Format
.csv
File
Coverage
1
Country
History
7
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
COMPOSITE_FIGI
String BBG000B9XRY4
TICKER
String AAPL
NUMBER_VIEWS_1
Integer 13000
BUZZ_1
Float 2.0
NUMBER_VIEWS_7
Integer 80000
BUZZ_7
Float 2.0
NUMBER_VIEWS_30
Integer 400000
BUZZ_30
Integer

Description

The dataset Brain Wikipedia Views has the objective to monitor the number of views and to measure the related attention on the Wikipedia pages views for the top largest 1000 US companies. The goal is to provide an alternative way to measure the attention of investors for a specific company
The dataset Brain Wikipedia Page Views has the objective to monitor the number of views and to measure the related attention on the Wikipedia pages views for the top largest 1000 US companies approximately corresponding to the Russell 1000 index. The raw number of views is transformed using a metric of called buzz to detect if a company is receiving more visits than average on various time horizons, e.g. the past day, week or month. The goal is to provide an alternative way to measure the attention of investors toward a specific company; this is complementary to the attention metrics measured from news or other sources (see for example the Brain Sentiment Indicator measuring buzz from financial news). The calculation steps are the following: - The Wikipedia pages for each company are mapped to the corresponding quoted entity with periodical updates. - Each company is mapped to multiple Wikipedia pages titled with variations of the company name in order to manage “redirects”; this is important to perform a comprehensive calculation of the page views. - On a daily basis the page views are aggregated at company level for various time intervals (e.g. the past day, week or month). The number of views for each company (similarly to the case of news) is typically proportional to the company size therefore a normalized measure is needed to measure the attention. - The attention on the company by investors or buzz is then calculated as a variations of page views with respect to the past average. The buzz is provided for various time intervals (past day, week or month).

Country Coverage

North America (1)
United States of America

History

7 years of historical data

Volume

1,000 stocks
7 years

Pricing

Free sample available
License Starts at
One-off purchase Not available
Monthly License Available
Yearly License Available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Frequency
daily
Format
.csv

Use Cases

Alpha Generation Systematic Trading
Quantitative Investing
Risk Analysis
Quantamental analysis

Categories

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Frequently asked questions

What is Brain Wikipedia Page Views for US Stocks?

The dataset Brain Wikipedia Views has the objective to monitor the number of views and to measure the related attention on the Wikipedia pages views for the top largest 1000 US companies. The goal is to provide an alternative way to measure the attention of investors for a specific company

What is Brain Wikipedia Page Views for US Stocks used for?

This product has 5 key use cases. Brain Company recommends using the data for Alpha Generation, Systematic Trading, Quantitative Investing, Risk Analysis, and Quantamental analysis. Global businesses and organizations buy Stock Market Data from Brain Company to fuel their analytics and enrichment.

Who can use Brain Wikipedia Page Views for US Stocks?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Stock Market Data. Get in touch with Brain Company to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Brain Wikipedia Page Views for US Stocks go?

This product has 7 years of historical coverage. It can be delivered on a daily basis.

Which countries does Brain Wikipedia Page Views for US Stocks cover?

This product includes data covering 1 country like USA. Brain Company is headquartered in Italy.

How much does Brain Wikipedia Page Views for US Stocks cost?

Pricing information for Brain Wikipedia Page Views for US Stocks is available by getting in contact with Brain Company. Connect with Brain Company to get a quote and arrange custom pricing models based on your data requirements.

How can I get Brain Wikipedia Page Views for US Stocks?

Businesses can buy Stock Market Data from Brain Company and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Brain Company can deliver this product in .csv format.

What is the data quality of Brain Wikipedia Page Views for US Stocks?

You can compare and assess the data quality of Brain Company using Datarade’s data marketplace.

What are similar products to Brain Wikipedia Page Views for US Stocks?

This product has 3 related products. These alternatives include The Data Appeal Point of Interest (POI) Data API, Dataset 200 Million+ POI Data Mapped Measure Sentiment and Customer Experience, Brain Language Metrics on Earnings Calls - 4500+ US Stocks, and Dappier Financial & Real-Time Stock Market Data RAG API, LLM Compatible Market & Exchange Search. You can compare the best Stock Market Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Not available
Monthly License Available
Yearly License Available
Usage-based Not available