Brain Wikipedia Page Views
Overview
The dataset Brain Wikipedia Page Views monitors the number of views of the Wikipedia pages as a proxy for the interest to the top largest 1000 US companies approximately corresponding to the Russell 1000 index.
The raw number of views is monitored using the “buzz” metric to asses if a company is receiving more visits than usual 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).
Technical Information
Technical Information
- The Wikipedia pages for each company are mapped to the corresponding publicly listed company with periodical updates.
- Each company is linked to multiple Wikipedia pages, in order to manage “redirects”; this is important to achieve a comprehensive calculation of the page views.
- On a daily basis the page views count is 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 roughly proportional to the company size therefore a normalized measure is needed to measure the attention.
- The attention on the company by investors or “buzz” metric is then calculated as a variations of page views with respect to the past moving average. The buzz is provided for various time intervals (past day, week or month).
- The dataset is updated with a daily frequency within 12pm UTC and it is shared via FTP or AWS S3 bucket.
- Historical data from 2016 are available for trial.
The dataset is updated with a daily frequency within 12pm UTC and it is shared via FTP or AWS S3 bucket.
Historical data from 2016 are available for trial.