> ## Documentation Index
> Fetch the complete documentation index at: https://docs.siliconflow.cn/llms.txt
> Use this file to discover all available pages before exploring further.

# MarketAssistant

> Updated: July 17, 2025

## About MarketAssistant

**MarketAssistant** is a stock analysis tool built with **.NET MAUI**, integrated with large AI models. This guide explains how to configure and use **SiliconFlow's** AI model services within MarketAssistant.

Powered by SiliconFlow’s robust large language models, this guide will help you:

* Quickly configure the SiliconFlow API
* Choose the right AI model
* Optimize cost and performance
* Troubleshoot common integration issues

***

### Download the Software

Before configuration, ensure you have MarketAssistant installed:

**Download Link**: [MarketAssistant Releases](https://github.com/X2Agent/MarketAssistant/releases)

Download and install the version that matches your operating system.

> For a complete feature overview of MarketAssistant, please refer to the [official documentation](https://github.com/X2Agent/MarketAssistant)

***

## Quick Configuration

### Step 1: Obtain a SiliconFlow API Key

1. Visit the [SiliconFlow website](https://cloud.siliconflow.cn/)
2. After registration, go to the [API Key Management Page](https://cloud.siliconflow.cn/account/ak)
3. Click **"Create New Key"**
4. Copy the generated API Key (store it securely)

### Step 2: Configure in MarketAssistant

1. Open the MarketAssistant application
2. Navigate to the **Settings** page
3. In the **AI Model Configuration** section, fill in the following:
   * **API Key**: Paste your SiliconFlow API Key
   * **Model Selection**: Choose a suitable model from the dropdown (see recommendations below)
   * **Embedding Model**: Keep default as `BAAI/bge-m3`
4. If stock data is required, obtain a token from ZhiTu website
5. Click **Save**

<Frame>
  <img src="https://mintcdn.com/siliconflow-37161621/tCRvDTXiZEw0OYru/images/usercases/MarketAssistant/3.webp?fit=max&auto=format&n=tCRvDTXiZEw0OYru&q=85&s=c516fe8bb5d2c89ed41e7cd70813e64a" width="1200" height="625" data-path="images/usercases/MarketAssistant/3.webp" />
</Frame>

***

### Step 3: Verify the Configuration

1. After saving, try running a stock analysis
2. If it runs successfully, the setup is correct
3. If issues occur, check the application logs

***

## Model Selection Guide

### Recommended Combinations

| Use Case                   | Recommended Model               | Features                        | Suitable For          |
| -------------------------- | ------------------------------- | ------------------------------- | --------------------- |
| **Daily Use**              | `Qwen/Qwen3-32B`                | Fast response, low cost         | Individual Investors  |
| **Professional Analysis**  | `deepseek-ai/DeepSeek-R1`       | Strong reasoning, deep analysis | Professional Analysts |
| **Long Document Handling** | `Tongyi-Zhiwen/QwenLong-L1-32B` | Long context support            | Report Analysis       |
| **Complex Strategies**     | `Qwen/Qwen3-235B-A22B`          | Exceptional comprehension       | Quantitative Traders  |

### Full Supported Model List

* `Qwen/Qwen3-32B` – Qwen 32B version
* `deepseek-ai/DeepSeek-R1` – DeepSeek inference model
* `deepseek-ai/DeepSeek-V3` – DeepSeek V3 version
* `Qwen/Qwen3-235B-A22B` – Ultra-large scale model
* `Tongyi-Zhiwen/QwenLong-L1-32B` – Long-context language model
* `THUDM/GLM-4-32B-0414` – GLM-4 model by Tsinghua
* `THUDM/GLM-Z1-Rumination-32B-0414` – Deep reasoning model
* `tencent/Hunyuan-A13B-Instruct` – Tencent Hunyuan model
* `moonshotai/Kimi-K2-Instruct-0905` – Kimi K2 model

***

## Best Security Practices

### API Key Safety

**Recommendations**:

* API keys are stored locally only
* Rotate API keys regularly

### Data Privacy

* Stock analysis data is processed locally
* Only analysis requests are sent to SiliconFlow
* Vectorized documents are stored in a local SQLite database

***

## Optimization Tips

1. **Model Tuning**: Adjust model selection based on actual usage results
2. **Batch Processing**: Take advantage of batch features like AI-based stock screening
3. **Role Adjustment**: Customize analyst roles according to your usage patterns

***

## Technical Support

### Getting Help

* **MarketAssistant Issues**: Refer to the Issues section on the project’s GitHub page
* **Community Discussion**: Join discussions in relevant technical communities

### Reporting Issues

If you encounter technical problems, please provide the following information:

1. MarketAssistant version
2. The SiliconFlow model you used
3. Error messages and logs
4. Steps to reproduce the issue