What’s in the package?
Daily and real-time AI powered news aggregator that scrapes all crypto media and mass publishers. CryptoMood targets the precise information that affects each crypto-asset we monitor.
Social media feed with the most popular influencers from Twitter, Youtube, Reddit, Telegram, as well as community monitoring of Github and Discord.
We can provide API users with up to 3 months of data. You can retrospectively analyse the market impact of different events in the crypto-industry on the assets that you track.
Alerts and notifications
Easy tracking of certain assets or specific market behaviour.
Whale movements tracking
Whale transaction analysis for more than 600+ assets on 6 blockchains.
Showing the community reaction, such as likes and comments, on the most discussed articles and influencer posts.
The data from CryptoMood API contains graph charts where you can use a variety of tools to create daily patterns and numerous sentiment averages, with indicators to choose from including:
- – News Sentiment EMA
- – Social Sentiment EMA
- – Social Sentiment Positive volume
- – Social Sentiment Negative volume
- – Search Trends
The methods CryptoMood uses to aggregate, group, and rank market data is the result of many years of research and cooperation with two European Universities and senior professionals in AI, Machine Learning, and Natural Language Processing.
How CryptoMood calculates sentiment
Besides statistical-based word analysis, CryptoMood uses Natural Language Processing (NLP) and Natural Language Understanding (NLU) for each item in Terminal’s feed. Each word has its own value or weight for sentiment, either positive, negative, or neutral. CryptoMood scores every word in the text and sums up all values together. Prior to sentiment calculations, the sentences shall be cleaned from redundant words, whilst at the same time poetic phrases, grammar mistakes, emoticons, negations and slang will be taken into account.
As it comes to awarding a social sentiment score, CryptoMood also uses social graph technology, which measures the value of the influencer’s in the community, their number of followers, and community engagement with a particular post.
Sentiment score = average (sentiment * impact) of N points
The sentiment score for each piece of information that we scrap is the result of the sentiment multiplied by the impact. Have a look at the detailed FAQ here.