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brain_bsi_7-day_sentiment by Brain

Name: brain_bsi_7-day_sentiment
Brand: Brain
SKU: BRN-00112
Price: 9999.99 USD
Availability: InStock

Category: financials , machine_learning , main_tax_category , sec_filing , sentiment ,

Product Type: sentiment

Region:

Industry: Consumer Discretionary , Consumer Staples , Energy , Financials , Health Care , Industrials , Information Technology , Materials , Real Estate , Telecommunication Services , Utilities ,

Asset Classes: Equity ,

Data Frequency: day

Quantity must be 1 or more

Dataset Name: brain_bsi_7-day_sentiment

Group: sentiment
Vendor: Brain
Data Starts at: 2016-08-01 00:00:00
Asset Class: Equity
Data Update Time(s): 7:05 AM EST
Data Update Frequency: day

Brain Sentiment Indicator monitors public financial news for more than 5000 global stocks from about 2000 financial media and blog sources. The system uses NLP to generate a sentiment of -1 (most negative) to +1 (most positive).

Data Contained in this Dataset

Column	Type	Description
_seq	uint	Internal sequence number used to keep data rows in order
timestamp	string	Timestamp of the Data - America/New York Time.
muts	uint64	Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps.
CALCULATION_DATE	string	The calculation date for the stock ranking score in format YYYY-MM-DD.
NAME	string	The company name
SHARE_CLASS_FIGI	string	The global share class FIGI code (https://www.openfigi.com) that identifies the company stock across various exchanges.
COMPOSITE_FIGI	string	The FIGI composite code (https://www.openfigi.com) that identifies the stock across related exchanges in the same country.
PRIMARY_EXCHANGE	string	Primary Exchange
COUNTRY	string	The company country
REGION	string	The company region
VOLUME	int	Number of news articles detected in the previous N days for the company.
VOLUME_SENTIMENT	int	Number of news articles in the previous N days used to calculate the sentiment. This number is less or equal to the field VOLUME and corresponds to not neutral news according to the sentiment algorithm.
SENTIMENT_SCORE	double	Sentiment score from -1 to 1 where 1 is the most positive and -1 the most negative. The sentiment score is calculated as an average of sentiment of news articles collected in the previous $N days for the specific company.
BUZZ_VOLUME	double	Buzz score that quantifies how much attention in terms of news VOLUME is getting one stock compared to the past. This is calculated by considering the VOLUME distribution of past six months. Then the buzz is calculated as current VOLUME minus average of V
BUZZ_VOLUME_SENTIMENT	double	Buzz score that quantifies how much attention in terms of news VOLUME_SENTIMENT (only stories with a polarized sentiment) one stock compared to the past. This is calculated by considering the VOLUME distribution of past six months. The buzz is then calcul
symbol	string	Trading Symbol or Ticker

Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at sales@CloudQuant.com. The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.