SENTIMENT ANALYSIS API FOR CRYPTO TRADERS
CryptoMood API provides vast amounts of data and fundamental analysis of the crypto market. Get our API to optimize your trading strategy, perform brilliant research, or enhance your own analytics.
What’s in the package?
News Sentiment
Through the API, clients can access data from 50,000 credible sources of different ranking and market impact. Our system targets the precise information that affects the particular crypto-assets that interest you.Social Sentiment
We process Twitter, Telegram, Reddit, Github, Discord, and most recently Youtube, as well as exchange chat groups. For instance, CryptoMood detects 500,000,000 tweets every day, on average, 45 million of them are detected to be crypto-related. After intelligent filtering, our AI deals with around 25,000 of them on a daily basisHistorical Data
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.Custom Indicators
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.AI that learns
We constantly improve and update our algorithms to provide this data as quickly and accurately as feasibly possible. You can be sure that this is the most accurate sentiment data available on the market.
How can you use the
API data?
You can connect the API to your trading bot to optimise your trading strategy.
Alternatively, you can opt to conduct independent research on price movement,
prediction, accuracy, and specified models, including fundamental analysis. The
detailed instructions are here.
CryptoMood’s data can be passed to your data analysts and interpreted in order
to combine different models and make custom made analytics for your users.
Available API plans
We offer different models based on your needs if just you or your company wants to get the highest quality data through our API.
Trender/Specials
| Free | Individual | Premium | Business | ||
|---|---|---|---|---|---|
| Historical data | 1 day | 7 days | 1 month | 3 months | |
| Indicators | Social & News Sentiment |
Social/News/ Github |
Social/News/Github/ Trender/Specials |
All indicators | |
| API calls | 60 per minute | 120 calls per minute | 240 calls per minute | Unlimited | |
| Cryptos | 3 (ETH, BCH, LTC) | Top 10 | Top 10 | All | |
| Business Support | N/A | N/A | N/A | Included | |
| Monthly fee | FREE | $ 99 / month | $ 499 / month | $ 990 / month | |
| Annual payment Save 20% |
FREE | $ 950 | $ 4800 | $ 9500 | |
| Start | Start | Start | Request |
Why are particular posts negative or positive?
Example 1: Positive tweet from an influencer
The algorithm detects the mention of the new technology and infrastructure development update. As well as that, it takes into account the social weight of the influencer in the community based on how many followers they have and comments they receive. Overall, positive sentiment is given.
Example 2: Negative article
In this example, the fear is multiplied by the credibility of the source, which is calculated from page ranking and other parameters like the number of the related comments in the article.
Speed
Speed
Our Data Mining Engine processing time ranges from 1 to 100 milliseconds, depending on the length and weight. After about 1 second, the item gets to the data pipeline to be analysed, filtered, and then distributed to the client. [data acquisition] -> [processing] -> distribution = max 1 second
Content cleared from noise and spam
Content cleared from noise and spam
We use statistical methods to detect if the piece of content is spam or not. It is based on text and language analysis, language, and source rank. The most innovative aspect of our spam detection filter in social media is the usage of social graphs - the system that analyses what position a certain person holds in the community. Spammers profiles usually have no value, so CryptoMood easily filters them out from a decent newsfeed.
