Analyze Stocks using Deepseek-R1 and Ollama

Chain of Agents Stock Analysis System

A modern stock analysis application powered by a chain of AI agents to collect data, perform analysis, and create visualizations.

Overview

This application uses a pipeline of specialized agents to analyze stocks:

1. Data Collector Agent: Fetches historical stock data, news, and fundamentals from Alpha Vantage
2. Analysis Agent: Examines the data and generates insights and recommendations
3. Visualization Agent: Creates interactive charts and visual representations of the analysis

Features

• Modern, responsive UI with sleek animations and visual feedback
• Real-time agent status visualization to show pipeline progress
• Interactive stock charts with price history and technical indicators
• Comprehensive analysis with buy/sell/hold recommendations
• Support for various time periods (1 week to 10 years)

Requirements

• Python 3.10+
• Alpha Vantage API key (free tier is sufficient)
• Ollama with claude-coder model (for LLM capabilities)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/ChainOfAgents.git
   cd ChainOfAgents
   

2. Create a virtual environment:

   python -m venv venv
   

3. Activate the virtual environment:

   # On macOS/Linux
   source venv/bin/activate
   
   # On Windows
   venv\Scripts\activate
   

4. Install the required dependencies:

   pip install -r requirements.txt
   

5. Configure your API keys in config.py:

   # Alpha Vantage API key
   ALPHA_VANTAGE_API_KEY = "your_api_key_here"
   

Running the Application

1. Ensure your virtual environment is activated:

   source venv/bin/activate
   

2. Start the Flask application:

   python app.py
   

3. Open your web browser and navigate to:

   http://127.0.0.1:5000
   

4. Enter a stock symbol (e.g., AAPL, MSFT, GOOG) and select a ti