Sentiment is the leading indicator of cryptocurrency price movement and CryptoTheorem is at the forefront of analyzing investor emotions. Our APIs quantify investor sentiment to generate actionable data that drives alpha.
CryptoTheorem has developed a comprehensive set of cryptocurrency sentiment metrics that drive alpha. CryptoTheorem's Data APIs are powered by our own proprietary sentiment engine used by the top quantitative hedge funds and leading financial firms across traditional asset classes.
Our four distinct sentiment APIs for digital assets are built on the same technology that has been developed over the last nine years and have been refined to service digital asset investors.
Access: CryptoTheorem is the only digital asset company with access to the full stream of 850 million tweets per day, leveraging our exclusive partnership with Twitter.
Intelligent: Our natural language processor handles 2000 overlapping tickers to distinguish between cryptocurrency and equity tweets.
Deep history: CryptoTheorem has out-of-sample Twitter data on cryptocurrencies going back to April 2014.
Comprehensive: Coverage on over 2000 of the largest cryptocurrencies.
Ultra-fast: Tweets are scored and sentiment metrics are delivered via API within a fraction of a second.
Quantified: Each word in each tweet is individually scored using a proprietary natural language processor leveraging machine learning technology developed over the last 9 years. The scores of each word are aggregated and each individual tweet is given a score. Tweet scores are aggregated at an individual coin level and sentiment scores are generated. Over 20 unique sentiment metrics are available via API.
Optimized: CryptoTheorem has built infrastructure to optimize topic models for digital assets.
The S-Factor Data Feed aggregates tweets and makes a comparison to a baseline to deliver over 20 metrics every minute. Snapshots can be requested at different cycles (5m, 15m, Hourly, Daily, etc.) Based on a 24-hour lookback with a 20-day baseline with decay.
The Activity Data Feed isolates and aggregates information every minute and allows clients to create their own baselines and metrics. Ideal for both HFT for market-making and algorithmic execution and longer baselines for both trading and indices (Weekly, Monthly, Quarterly, Yearly).
The Tweet Level Data Feed delivers tweet level metrics from our NLP and Account Rating algorithm within 300 milliseconds of receiving a tweet from Twitter.
The Lexical Data Feed is an enhanced version of the Tweet Level feed, providing detailed scoring of every word in each tweet. This feed updates within 300 milliseconds of receiving a tweet from Twitter.