> For the complete documentation index, see [llms.txt](https://traceonai.gitbook.io/traceonai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://traceonai.gitbook.io/traceonai/getting-started/ai-powered-bots/alphatracer.md). # AlphaTracer The AlphaTracer offers comprehensive insights into users' cryptocurrency holdings, enabling effective portfolio management across multiple blockchains. * **PnL Calculations:** Provides detailed profit and loss assessments over time, helping users understand their investment performance. * **Entry/Exit Point Detection:** Identifies optimal trading moments by analyzing market trends and historical data. * **Benchmarking:** Compares portfolio performance against market indices and whale wallets, offering context and performance evaluation. * **Multi-Chain Support:** Analyzes holdings across various blockchains, providing a unified view of the user's crypto assets. * **Asset Allocation Analysis:** Breaks down token distribution within the portfolio, assisting in diversification and risk management strategies. * **Historical Performance Tracking:** Maintains records of portfolio changes over time, enabling users to review and adjust their investment strategies accordingly. * **Security and Privacy:** Ensures user data is handled with the utmost confidentiality, employing robust security measures to protect sensitive information. --- # 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://traceonai.gitbook.io/traceonai/getting-started/ai-powered-bots/alphatracer.md?ask=&goal= ``` `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.