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

# Agent

## <mark style="color:green;">I. How to Interact with the AI?</mark>

Users can interact with AlphaPilot's AI through the intuitive chat interface. Whether you're a newcomer or an experienced trader, you can instantly access AI-powered market analysis, strategy selection, risk management, and personalized investment advice.

***

## <mark style="color:green;">II. How Can the AI Assistant Help Me?</mark>

AlphaPilot ensures each user enjoys a highly personalized trading experience. Through advanced AI analytics and machine learning algorithms, our AI assistant monitors users' trading behavior, risk preferences, and market data to provide customized trading suggestions.

### Our AI Features :

1. **Intent Recognition**:

* Detects user intent (e.g., hovering over an area) to identify when assistance is needed.
* Proactively offers help through prompts or suggestions.

2. **Automation**:

* Automates tasks based on user commands or workflows.
* Examples: Creating strategies, modifying notifications, or filtering signals.

3. **Market Analysis**

* Real-time analysis of global market data
* Identifies potential investment opportunities
* Visual presentation of market trends

4. **Strategy Recommendations(Coming soon)**

* Suggests suitable quantitative strategies based on your investment goals and market conditions
* One-click strategy deployment

5. **Risk Management(Coming soon)**

* Monitors risk exposure based on user preferences
* Provides position sizing and stop-loss recommendations
* Helps users manage investment risks more effectively

6. **Personalized Investment Advice(Coming soon)**

* Generates customized investment suggestions based on trading patterns and historical performance
* Helps users achieve personalized investment objectives

***

## <mark style="color:green;">III. How Does the AI Generate Trading Suggestions?</mark>

1. **Data Analysis**

* Real-time monitoring and collection of market data
* Analyzes price trends, trading volume, news events
* Identifies investment opportunities through historical data analysis

2. **User Preferences & Historical Trading**

* Records and analyzes your interactions and preferences
* Learns from your trading patterns and risk tolerance
* Continuously optimizes and adjusts recommendations for truly personalized service


---

# 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://alphapilot.gitbook.io/docs.alphapilot.tech/getting-started/ai-conversation.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.