> For the complete documentation index, see [llms.txt](https://docs.satoshiterminal.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.satoshiterminal.io/resources/faqs/data-and-insights.md).

# Data and Insights

6. **What asset classes are supported?**\
   The terminal supports equities, fixed income, FX, commodities, derivatives, private markets, cryptocurrencies, NFTs, and ESG metrics.
7. **How comprehensive is the platform's market coverage?**\
   It includes global market data, live pricing, order book analysis, on-chain metrics, regulatory updates, and economic indicators across all supported asset classes.
8. **Does the platform provide access to on-chain analytics and DeFi data?**\
   Yes, it includes detailed blockchain transaction data, wallet tracking, liquidity pool statistics, staking metrics, and governance activity in DeFi.
9. **What proprietary datasets or analytics does the terminal offer?**\
   The platform features unique data such as institutional sentiment analysis, cross-asset correlation matrices, AI-driven forecasts, and market microstructure analysis.
10. **How does the terminal ensure data accuracy and reliability?**\
    Data is sourced from tier-1 providers, regulated exchanges, blockchain nodes, and proprietary algorithms, validated through rigorous quality assurance processes.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.satoshiterminal.io/resources/faqs/data-and-insights.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.