ZENPULSAR Oracle – Fine-Tuning Social Media Sentiment Metrics

ZENPULSAR’s new social sentiment product – Oracle – takes sentiment measurement to the next level. For a wide range of cryptos, equities, commodities, bonds, and foreign currencies, Oracle classifies each sentiment mention into one of the three groups – fact, opinion, or prediction. Using advanced NLP models, Oracle adds the new 3-group classification to the standard bullish/bearish/neutral sentiment measures. For instance, Oracle dataset users can see if a certain asset’s bullish signal is a fact, opinion, or prediction. ZENPULSAR’s Oracle is the first social listening product on the market that adds this classification to sentiment measures.

Details of the Oracle Product

Format: API Dataset in CSV and JSON delivery formats
Asset Coverage:
· 2 US fixed income assets
· 11 foreign exchange pairs
· 24 commodities
· 60 cryptocurrencies
· 891 equities
Sources Covered:
· Twitter
· Reddit
· Seeking Alpha
· Telegram
Dataset Attributes:
Use Cases:
· Sentiment Analysis
· Hedge Funds
· Asset Management
· Trading Strategies
· Market Insights
· Quantitative Investing
· Alpha Generation
· Online Reputation Management
· Brand Image Management
To enquire about all the details of the product or to purchase it, please email us at or use the contact form on our website.