> For the complete documentation index, see [llms.txt](https://blackswanwtf.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://blackswanwtf.gitbook.io/docs/smart-agents/btc-eth-analysis-agent.md).

# BTC/ETH Analysis Agent

The BTC/ETH Analysis agent provides comprehensive, AI-powered performance and trend analysis for Bitcoin and Ethereum. It monitors price movements across multiple timeframes and leverages AI to generate sophisticated market insights for these two major cryptocurrencies.

## Key Features

**AI-Powered Trend Analysis**\
Utilizes AI models via OpenRouter to analyze price data and identify trends

**Multi-Timeframe Data**\
Processes 24-hour minute-by-minute price data for recent trends and \~900 days of daily closing prices

**Individual Asset Focus**\
Provides separate, in-depth analysis for Bitcoin and Ethereum without inter-asset correlation

**Data Quality Assessment**\
Includes robust validation and quality metrics for all incoming price data

**Performance Optimization**\
Employs an in-memory cache for daily price data, refreshed daily

## Analysis Outputs

**Short-term Trend**\
Narrative summary of recent (24-hour) price action

**Long-term Trend**\
Narrative summary of historical (900-day) price action

**Momentum Signals**\
Key indicators of current market momentum

**Notable Levels**\
Identified support and resistance levels

**Summary**\
A concise overall summary for each asset


---

# 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, and the optional `goal` query parameter:

```
GET https://blackswanwtf.gitbook.io/docs/smart-agents/btc-eth-analysis-agent.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.