> For the complete documentation index, see [llms.txt](https://puregamma-ai.gitbook.io/puregamma-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://puregamma-ai.gitbook.io/puregamma-ai/puregamma-ai-documentation-espanol/english.md).

# English

> AI-native investment research & decision support — Beta (market regime) / Alpha (evidence-backed opportunities) / Long Gamma (options convexity)

PureGamma AI is a research SaaS for active crypto, equity and options investors. The core loop is **proactive daily briefs + portfolio-aware research + risk disclosure**: every morning the platform compiles market intelligence and your holdings risk into a daily brief; you can chat with the Agent or your Private Secretary anytime, and validate trading ideas in the Backtest Lab.

**Research software, not investment advice.** The platform holds no assets, promises no returns and never executes live trades. All AI output is for research only.

## Contents

| Section           | What it covers                                                                            |
| ----------------- | ----------------------------------------------------------------------------------------- |
| Getting Started   | Sign up, sign in, tour, language & theme                                                  |
| Feature Guide     | Dashboard, Agent, Secretary voice, briefs, options, backtesting, portfolio, notifications |
| Billing & Credits | Plans, metering, refunds                                                                  |
| FAQ & Roadmap     | Troubleshooting and future design                                                         |

For the full Chinese version of this guide, see the 简体中文 section above.

## Compliance

By using the service you agree that all AI-generated content (reports, chats, signals, backtests) is for research only and does not constitute investment advice; market data may be delayed or inaccurate; verify sources and decide independently. See [Terms](https://puregamma.ai/terms) and [Privacy](https://puregamma.ai/privacy).


---

# 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://puregamma-ai.gitbook.io/puregamma-ai/puregamma-ai-documentation-espanol/english.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.