Investment Data Structuring Model

Overview

This repository hosts a sophisticated model designed to structure unstructured data for comprehensive investment analysis. Our approach integrates diverse data sources like Stock Exchange Filings, Company News, DRHPs, Annual Reports, and Regulatory Filings. The model aims to incorporate market sentiment analysis (refer to my attempt at sentiment analysis ), adding a critical dimension to investment strategies in the near future.

Features

• Data Integration: Seamlessly assimilates various financial data sources.
• Market Sentiment Analysis: Leverages news sources to gauge market mood.
• Comprehensive Analysis: Offers in-depth insights into potential investments.

Getting Started

To get started with this project, clone the repository and follow the setup instructions in the documentation.

git clone [email protected]:mohjaiswal/ArthyaInvest.git
# Follow setup instructions in the documentation

Usage

Detailed usage instructions are available in the docs folder. Here's a quick start:

1. Configure your data sources in the config file.
2. Run the main script to start data processing:

   python main.py

Contributing

Contributions to improve the model are welcome. Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.