Likefolio

Crowdsourced Product Purchase Intent

Equity Analytics

Delivery Frequency/Timezone

Daily, Intra-day API/EST

History

From 2012

Coverage

~​260 Consumer Facing Companies

Format

CSV, XML, JSON

Format

CSV, XML, JSON

LikeFolio analyzes social media data from Twitter to spot shifts and trends in consumer spending behavior on Main Street before it becomes news on Wall Street.

Purchase Intent Mentions are tweets that indicate the author has either just spent money on the product or is planning to spend money on the product in the near future.

LikeFolio’s Purchase Intent Signal is a score given to a stock based on the change in the 90-day moving average of its purchase intent mention volume minus the change in the 90-day moving average of its stock price.

Data dictionary

Date

Datestamp

Symbol

Ticker symbol

Purchase Intent

Score based on change 90 day average of purchase intent mention volume minus 90 day moving average price

 

Negative Sentiment

Score based on change 90 day average of purchase intent mention volume minus 90 day moving average price

 

Positive Sentiment

Score based on change 90 day average of purchase intent mention volume minus 90 day moving average price

Download full data dictionary

Benzinga’s data samples are intended to provide a data sample large enough for testing data quality and application for the financial markets.  These files demonstrate a sample of the formats and content that can be delivered.

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Quick Contact

Address

1 Campus Martius Detroit,

MI 48226, United States

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What data do you find interesting*

Quick Contact

Address

1 Campus Martius Detroit,

MI 48226, United States

Get in Touch

We love to help & we love to listen.

Please fill out the form below and we’ll get back to you within a day.

What data do you find interesting*

Quick Contact

Address

1 Campus Martius Detroit,

MI 48226, United States

Get in Touch

We love to help & we love to listen.

Please fill out the form below and we’ll get back to you within a day.

What data do you find interesting*