Welcome to AI Automation Finance! This repository is designed to serve as a learning resource for individuals looking to build AI-assisted automations with a focus on the finance industry. Our goal is to create a collaborative and supportive community of learners, where everyone can share their knowledge and experience, ask questions, and learn from one another.

Our vision is to create a comprehensive learning platform that covers all aspects of AI-assisted automations for the finance industry. We believe that AI has the potential to transform the way we work and live, and we want to empower individuals and organizations to harness the power of AI to achieve their financial goals.

The AI-Automation-Finance covers a wide range of topics related to AI-assisted automations in finance, including:

• Investing and Finance: Learn how AI can be used to automate financial analysis, trading, and investment strategies. Topics covered include:
  • AI-powered stock analysis and prediction
  • Fundamental SEC 10-K based analysis using AI
  • No-code/low-code AI tools for finance and investing

One of the key topics covered in the AI-Automation-Finance repository is fundamental SEC 10-K based analysis using AI. The SEC 10-K is an annual report filed by publicly traded companies in the United States, providing a comprehensive overview of the company's financial performance and business operations.

By leveraging AI and machine learning techniques, investors and analysts can automate the process of analyzing SEC 10-K filings to gain insights into a company's financial health and performance. Some of the key areas of focus in fundamental SEC 10-K based analysis include:

• Financial statement analysis: AI can be used to automatically extract financial data from SEC 10-K filings and perform various financial ratios and metrics calculations to evaluate a company's financial health and performance.
• Text analysis: Natural language processing (NLP) techniques can be used to analyze the textual content of SEC 10-K filings, such as management's discussion and analysis (MD&A) and risk factors, to gain insights into a company's business operations and potential risks.

In the AI-Automation-Finance repository, you'll find a variety of resources and tools to help you get started with fundamental SEC 10-K based analysis using AI. These include tutorials, code examples, and case studies, as well as links to relevant datasets and APIs. We encourage you to explore these resources and contribute your own knowledge and experience to the community.

To get started with AI-Automation-Finance, simply clone this repository and explore the contents. You'll find a variety of resources, including tutorials, code examples, and case studies, organized by topic. We encourage you to contribute to the repository by submitting pull requests with your own resources, or by suggesting improvements to existing resources.

We welcome contributions from everyone, regardless of your background or experience level. If you'd like to contribute to AI-Automation-Finance, please review our contributing guidelines and submit a pull request with your proposed changes. We'll review your submission and provide feedback as needed.

We believe that learning is a collaborative process, and we encourage everyone to participate in our community. You can join our community by:

• Submitting issues to ask questions or suggest improvements
• Participating in discussions on our discussion board
• Sharing your own resources and experiences with the community

We are committed to creating a welcoming and inclusive community for everyone. Please review our code of conduct before participating in the community.

AI-Automation-Finance is licensed under the MIT license. See the LICENSE file for more information.

If you have any questions or feedback, please don't hesitate to contact us. You can reach us by opening an issue or sending an email to [[email protected]].

Thank you for joining us in AI-Automation-Finance! We look forward to learning and growing with you.