---
title: "Finance Agent"
sidebarTitle: "Finance"
description: "Learn how to create AI agents for financial analysis and investment recommendations."
icon: "money-bill-trend-up"
---

```mermaid
flowchart LR
    In[Request] --> Price[Stock Price]
    Price --> Info[Stock Info]
    Info --> History[Historical Data]
    History --> Out[Investment Advice]
    
    style In fill:#8B0000,color:#fff
    style Price fill:#2E8B57,color:#fff
    style Info fill:#2E8B57,color:#fff
    style History fill:#2E8B57,color:#fff
    style Out fill:#8B0000,color:#fff
```

A workflow demonstrating how the Finance Agent can analyze stock market data and provide investment recommendations.

## Quick Start

<Steps>
    <Step title="Install Package">
        First, install the PraisonAI Agents package:
        ```bash
        pip install praisonaiagents
        ```
    </Step>

    <Step title="Set API Key">
        Set your OpenAI API key as an environment variable:
        ```bash
        export OPENAI_API_KEY=your_api_key_here
        ```
    </Step>

    <Step title="Create Script">
        Create a new file `finance_analysis.py`:
        ```python
        from praisonaiagents import Agent, Tools
        from praisonaiagents.tools import get_stock_price, get_stock_info, get_historical_data

        agent = Agent(
            instructions="You are a Research Agent",
            tools=[get_stock_price, get_stock_info, get_historical_data]
        )
        agent.start("Understand current stock price and historical data of Apple and Google. Tell me if I can invest in them")
        ```
    </Step>
</Steps>

## Understanding Financial Analysis

The Finance Agent specializes in stock market analysis and investment recommendations using three key components:

1. **Real-time Price Data**: Uses `get_stock_price` to fetch current market prices
2. **Company Information**: Retrieves company details using `get_stock_info`
3. **Historical Analysis**: Analyzes trends with `get_historical_data`

## Features

<CardGroup cols={2}>
  <Card title="Real-time Data" icon="clock">
    Access to current stock market prices and information.
  </Card>
  <Card title="Company Analysis" icon="building">
    Detailed company information and fundamentals.
  </Card>
  <Card title="Historical Trends" icon="chart-line">
    Analysis of historical price movements and patterns.
  </Card>
  <Card title="Investment Advice" icon="money-bill">
    AI-powered investment recommendations.
  </Card>
</CardGroup>

## Example Usage

```python
# Example: Analyzing specific stocks
agent.start("""
    1. Get current prices for AAPL and GOOGL
    2. Retrieve company information
    3. Analyze 6-month historical data
    4. Provide investment recommendations
""")
```

## Next Steps

- Learn about [Prompt Chaining](/features/promptchaining) for complex financial analysis
- Explore [Evaluator Optimizer](/features/evaluator-optimiser) for improving recommendation accuracy
- Check out the [Data Analyst Agent](/agents/data-analyst) for detailed data analysis capabilities