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CrewAI**\n\nThe sophisticated investment advisory system built using **CrewAI** workflow combines multiple AI agents, each equipped with specialized tools, to:\n- Gather financial data and news about a company.\n- Analyze the data comprehensively.\n- Provide actionable investment recommendations.\n\n## **Problem Statement :**\n- Create a **Multi-agent workflow** to generate detailed investment advisory **(Bull/Sell/Hold)** by thorough market performance analysis of the company.\n\n\n## **Tools used :**\n- **Python** - Coding Language\n- **CrewAI** - Multi-agent workflow creation framework\n- **Gemini** - LLM\n- **EXA** - For Web Search\n- **Yahoo Finance** - For Financial insights\n\n\n## **Overview :**\n- Define custom tools, \"EXASearch\", \"Company Info\", \"Income Statements\" and \"Stock Price\", to retrieve company's news, financial data, income statements, and stock prices.\n- Create agents, \"News Agent\", \"Data Agent\", \"Analyst Agent\" and \"Expert Agent\" for data gathering, analysis, and recommendation tasks.\n- Define tasks aligned with these agents' roles and objectives.\n- Configure a crew to execute these tasks sequentially, leveraging collaboration between agents.\n- Run the workflow and observe the results.\n\n![Image](https://github.com/user-attachments/assets/e3334f0f-5577-440d-95b0-265d64e44c0b)\n\n## **Detailed Agentic Workflow Walkthrough :**\n- Import all required libraries as provided in **requirement.txt** file.\n```python\npip install -r requirement.txt\n```\n- Store the **Gemini API Key** and **EXA API key** in **.env** file and using fetch the API keys securely using *os.getenv()*.\n```python\nGEMINI_KEY = your_gemini_api_key\nEXA_API_KEY = your_exa_api_key\n\nload_dotenv()\n\nGOOGLE_API_KEY = os.getenv(\"GEMINI_KEY\")\n```\n- Create the following custom tools:\n\t- **search_tool** - 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Considering the analysis done by the *analyst agent*, it provide us with the recommendation of whether to *Buy/Hold/Sell* the stock and also details out the reason behind that recommendation in **Fin_Recommendation.md** file.\n- Run the agentic workflow using the following command:\n```python\npy agent_investor.py\n```\n- Below are the outputs given by different agents on execution:\n\n- **Agent : data_fin_explorer** \n\n![Image](https://github.com/user-attachments/assets/ac558a39-ccb0-4497-82e0-e62b8743e3de)\n![Image](https://github.com/user-attachments/assets/7be504d0-93f5-4589-9398-786418b4d38c)\n![Image](https://github.com/user-attachments/assets/fc3889ea-f8eb-41c7-b203-5fe98d26bd5e)\n\n- **Agent : news_info_explorer**\n\n![Image](https://github.com/user-attachments/assets/9fd20aea-a117-464a-a94c-1521f70274f0)\n\n- **Agent : analyst**\n\n![Image](https://github.com/user-attachments/assets/c3147cb8-85b6-4a07-99af-71caa9f010c5)\n![Image](https://github.com/user-attachments/assets/8d63009b-2362-4614-a1f4-4fd9c32f0103)\n\n**Output : Analysis.md** file\n\n- **Agent : fin_expert**\n\n![Image](https://github.com/user-attachments/assets/7aaca0b5-2e7b-4ecc-b08a-5e4bf0c76f2f)\n![Image](https://github.com/user-attachments/assets/1783ece0-ed8e-41e0-9a52-58bce684885e)\n\n## **Summary :**\n- The final investment advice generated by the agentic workflow system is to currently **Hold** the **Reliance** stock.\n- The reasons to hold the stock and its detailed financial analysis are provided in **Fin_Recommendation.md** file.\n\n![Image](https://github.com/user-attachments/assets/3eeacb8f-0190-4c32-9da9-d1b6ecdf1924)\n","readmeExcerpt":"**Stock Advisory Agentic Workflow - 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