AI Agents Modular Project

Project Overview

This project provides a modular AI agent designed for cryptocurrency analysis and report generation. The agent:

Project Overview

The AI Agents Modular project is a robust, modular AI system designed for cryptocurrency analysis and comprehensive report generation. This agent:

• Collects and processes data from multiple cryptocurrency trading platforms.
• Analyzes key market indicators using machine learning algorithms.
• Produces detailed, customizable reports to support informed trading decisions and mitigate risks.

Features

• Multi-platform Data Collection: Seamlessly integrates with APIs from major exchanges such as Binance, Coinbase, and Kraken.
• Real-Time Analysis: Applies AI models for live analysis of market trends, volume fluctuations, and price movements.
• Configurable Reports: Generates tailored reports based on user-defined parameters and analytical needs.
• Modular Architecture: Supports plug-and-play modules, facilitating easy integration and updates without disrupting the core system.

Architecture

• Data Fetcher Module: Fetches and manages data from various external sources.
• Metrics Analyzer Engine: Employs AI for data processing, market predictions, and risk assessments.
• Report Generator Module: Creates and formats comprehensive analytical reports.

Installation

Prerequisites

• Python 3.8+
• pip (Python package manager)

Steps

1. Clone the repository:

   git clone https://github.com/yourusername/ai-agents-modular.git
   cd ai-agents-modular

2. Install dependencies:

   pip install -r requirements.txt

3. Configure environment variables: Create a .env file in the project root and add your API keys.

4. Run the application:

   python main.py

Basic Usage:

from ai_agent_core.crypto_agent import CryptoAgent
agent = CryptoAgent()
agent.run_analysis()
agent.generate_report()

Advanced Usage:

Customizing agent behavior or extending its functionality is straightforward with the modular architecture.

Contributing

Contributions are welcome! To contribute:

• Fork the repository.
• Create a new branch: git checkout -b feature/YourFeature.
• Commit changes: git commit -m 'Add YourFeature'.
• Push to branch: git push origin feature/YourFeature.
• Open a pull request.

License

This project is licensed under the MIT License – see LICENSE.md for details.

Acknowledgments

Thanks to the open-source community for essential libraries and frameworks that power this project.

Contact

Orest Yatskuliak – GitHub – LinkedIn