Stock Assistant Agent

📈 AI-powered stock assistant using Strands Agent that analyzes stocks using real-time web data and financial insights.

📦 Prerequisites

• Install uv

curl -Ls https://astral.sh/uv/install.sh | sh

• AWS Account with Bedrock access

🚀 Quick Start

1. Clone the repository

git clone https://github.com/pajaydev/stock-assistant-agent.git
cd stock-assistant-agent

2. Set up Python virtual environment

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

4. Install dependencies:

uv pip install -r requirements.txt

4. Configure aws credentails

aws configure
# OR set environment variables
export AWS_ACCESS_KEY_ID=your_access_key
export AWS_SECRET_ACCESS_KEY=your_secret_key
export AWS_DEFAULT_REGION=us-east-1

5. Run the app:

streamlit run stock_assistant_agent.py

6. Open http://localhost:8501

🛠️ Usage

Enter your investment query (e.g., "Should I buy AAPL stock?") and get structured analysis with:

• Financial metrics
• Risk considerations
• Investment recommendations

Architecture

• Web Agent: Searches for recent news and market sentiment
• Finance Agent: Fetches financial data using YFinance
• Main Agent: Coordinates analysis and generates recommendations

Dependencies

• strands-agents: Framework for creating AI agents
• agno: Tools for web search and financial data
• streamlit: Web application framework
• python-dotenv: Environment variable management