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brain_bsi_crypto_7-day_sentiment

brain_bsi_crypto_7-day_sentiment by Brain

Product Type: sentiment
Region:

Industry:

Asset Classes: Crypto ,
Data Frequency:

Dataset Name: brain_bsi_crypto_7-day_sentiment


Group: sentiment
Vendor: Brain
Asset Class: Crypto
Data Update Time(s): 7:05 AM EST
Data Update Frequency: day

The Brain Sentiment Indicator (Crypto version) monitors public financial news for 14 of the major cryptocurrencies from about 2000 financial media sources in 33 languages. The sentiment scoring technology is based on a combination of various Natural Language Processing techniques.

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. (underlying field is nc_publish_date_actual)
symbol string Trading Symbol or Ticker
CALCULATION_DATE string The calculation date for the stock ranking score in format YYYY-MM-DD.
AGGREGATION_TIME_HORIZON uint Aggregation Time Horizon - in this case 7 days
VOLUME uint Number of news articles detected in the previous N days for the crypto currency.
VOLUME_SENTIMENT uint 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 crypto currency.
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


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.