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

# Finance Analysis

> A hypothesis-driven deep research agent for complex financial and investment analysis

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  <img src="https://img.alicdn.com/imgextra/i3/O1CN01Iona8l1uYxK7HPKXY_!!6000000006050-2-tps-1408-736.png" alt="Alias Finance Analysis overview" />
</Frame>

**Alias-Finance Analysis** is a specialized enhancement/adaptation of the Alias, purpose-built to address the unique challenges of financial analysis: the need for complex reasoning and rigorous evidence chains.

Unlike traditional autonomous agents that simply decompose tasks into steps, Alias-Finance Analysis adopts a **Hypothesis-Driven** architecture. It transforms open-ended financial inquiries into a rigorous scientific loop: **"Propose Hypothesis → Evidence Analysis → Verify Hypothesis → Update State."** Built on the **AgentScope** framework, Alias-Finance Analysis ensures that every analytical conclusion is backed by a transparent, traceable logical path, bridging the gap between AI autonomy and the strict explainability requirements of the financial sector.

## Key Features

### Hypothesis-Driven Reasoning

In high-stakes financial scenarios, simple task execution is insufficient. Alias-Finance Analysis introduces a state-aware reasoning mechanism designed for prediction and verification.

* **Dynamic State Maintenance:** Instead of a linear to-do list, the agent maintains a "Hypothesis Task."
* **The Loop:** It actively proposes a market assumption, gathers specific data to test it, verifies the validity, and updates its belief state accordingly.

### Tree-Structured Deep Search

Financial problems are rarely one-dimensional. To handle complexity, Alias-Finance Analysis utilizes a **Tree Search** strategy similar to deep research algorithms but adapted for financial logic.

* **Decomposition:** A complex query (e.g., "Is Company X a buy?") is broken down into a tree of sub-hypotheses (e.g., "Revenue Growth," "Market Risk," "Competitive Moat").
* **Tree Exploration:** The agent systematically explores these branches to ensure no critical factor is overlooked before aggregating the results into a final conclusion.

### Enhanced Financial Tool Integration

Alias-Finance Analysis is ready to deploy with professional-grade data capabilities.

* **MCP Integration:** Tavily Search is used as the general-purpose tool. In addition, Financial **Model Context Protocol (MCP)** tools are integrated (available via Bailian/Alibaba Cloud).

Users simply need to configure their API key to unlock access to real-time financial data. Follow this [guide](https://bailian.console.aliyun.com/?tab=doc#/doc/?type=app\&url=2974821) to activate the MCP service.

| **Tool Name**                                                                                                                | **Description**                                                                       |
| ---------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------- |
| **Stock/Market Data API** ([tdx-mcp](https://bailian.console.aliyun.com/tab=app#/mcp-market/detail/tendency-software))       | Provides real-time quotes, historical prices, technical indicators, and fundamentals. |
| **Investment Research & Advisory API** ([Qieman-mcp](https://bailian.console.aliyun.com/?tab=mcp#/mcp-market/detail/Qieman)) | Provides research content, investment analysis, and advisory tools.                   |

### Visualization & Reporting

Transform complex financial analysis into clear, traceable, and presentation-ready outputs.

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  <img src="https://img.alicdn.com/imgextra/i2/O1CN01tyYNbH1zZ1SUnxtsk_!!6000000006727-2-tps-1674-774.png" alt="Finance analysis case study output" />
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| **Output Element**                    | **Description**             | **Purpose**                                                                                                                                                                       |
| ------------------------------------- | --------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Final Research Report**             | Narrative Text & Insights   | The complete written analysis, conclusions, statistical evidence, and recommendations.                                                                                            |
| **Process Visualization**             | Traceable Tree Search Map   | An interactive graphical view showing the full execution path: which hypotheses were tested, which evidence was collected, and the specific decision points (Verified/Abandoned). |
| **Presentation-Friendly HTML Report** | Executive Summary & Visuals | A condensed, visually rich format optimized for review, featuring key charts and summary bullets.                                                                                 |

## Workflow

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  <img src="https://img.alicdn.com/imgextra/i1/O1CN01D9Csw11VPSiefvm8c_!!6000000002645-2-tps-1288-2048.png" alt="Hypothesis-driven workflow diagram" />
</Frame>

**This diagram illustrates the hypothesis-driven workflow used to forecast Nvidia's 2026 financial performance, including evidence gathering, validation steps, and final report generation.**

<Steps>
  <Step title="Propose Hypothesis">
    Convert open-ended financial questions into specific, testable hypotheses.
  </Step>

  <Step title="Gather Evidence">
    Collect targeted data from financial APIs, research reports, and market feeds to test each hypothesis.
  </Step>

  <Step title="Verify Hypothesis">
    Evaluate gathered evidence against the hypothesis, marking it as verified, refuted, or requiring further investigation.
  </Step>

  <Step title="Update State">
    Update the dynamic belief state and decompose into sub-hypotheses as needed for complex multi-dimensional analysis.
  </Step>

  <Step title="Generate Report">
    Produce a final forecast grounded in validated assumptions, with traceable reasoning steps and interactive HTML output.
  </Step>
</Steps>

## Getting Started

To get started with Alias-Finance Analysis, you can access the financial analysis features via automatic system routing in the default General mode.

If you wish to explicitly specify this mode, run:

```bash theme={null}
alias_agent run --mode finance --task "Analyze Tesla's Q4 2024 financial performance"
```