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CCData has optimised its datasets into AI-friendly formats, designed to seamlessly integrate with your models and platforms. We offer data in various formats, such as JSON, CSV, delivered via API endpoints.
CCData's endpoints are also standardised to OpenAPI specifications, allowing for streamlined integration and code generation.
The best AI models require the highest quality data. Our data is meticulously sourced and backed by thousands of research hours to provide unparalleled accuracy and reliability.
By integrating your models with our solutions, you will have access to extensive training data to produce the most superior output.
Our digital asset market data covers 300+ exchanges, thousands of digital spot trading pairs and derivative instruments.
Coupled with alternative data sets, such as categorised news content and historical social media data - our data equips your AI with a broad variety of data points to draw from.
CCData's solutions are meticulously crafted to meet the demands of large AI model training, offering a wide array of benefits to ensure the best possible performance.
All instruments and underlying data streams are deliverable via the REST API.
Bespoke custom requests, including AWS S3, Azure Blobs, Google and BigQuery.
CCData's extensive historical pricing coverage across spot and derivatives markets dates back to 2012. This enables a user sufficient runway to train and test proprietary pricing prediction models for the digital asset space.
Our order volume and open interest metrics also give an indication of liquidity to help determine the most prolific assets to focus on.
By leveraging CCData's social media stats and aggregated news article endpoints, AI models can be trained and tested to perform sentiment analysis.
Coupled with our historical pricing data, one can identify correlations between general market sentiment and legitimate price variations.
AI/ML models can analyse CCData's Options Data to recommend suitable strategies based on objectives, risk tolerance, and market conditions.
This can assist traders by suggesting options strategies for hedging, income generation, or speculation, allowing for informed decision making and the optimisation of trading outcomes.
CCData's historical trade, news and socials data can enrich AI models measuring relative risk values that are assigned to particular market movements and events.
By extension, this can be used to define mitigation plans encompassing portfolio optimisation and hedging strategies.
Book a call with our team to trial our data and find out more about our market-leading solutions.
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