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 --- # 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 also incorporates market sentiment analysis, adding a critical dimension to investment strategies. ## 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. ```bash git clone git@github.com: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: ```bash 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. --- Remember to replace placeholder URLs and instructions with actual content. This README provides a concise yet comprehensive description of your project, suitable for your GitHub repository.

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