🔭 currently working on

In our project, CandleVision, we plan to integrate computer vision and AI, emphasizing the importance of candlestick patterns in financial market analysis. By incorporating sentiment analysis, our goal is to provide a comprehensive and accessible understanding of market trends for traders of various skill levels. The combination of advanced computer vision and detailed analysis of candlestick patterns aims to simplify and improve trading decision-making. CandleVision is poised to demonstrate how AI can offer deeper insights and a more informed approach to analyzing financial markets.

In our project, CandleVision, will utilize combination of advanced computer vision and detailed analysis of candlestick patterns with aims of simplify and improving trading decision-making. CandleVision is poised to demonstrate how AI and Machine learning can offer deeper insights and a more informed approach to analyzing financial markets.

Here's why:

• New investor lack fundemental knowledge of candlesticks and market patterns
• fundementals are key in identifying market movement
• Solid foundation will teach and prevent guessing the market and capital blowout

Of course, this is not a funancial advising but just a tool to help investors!

Use the README.md to get started.

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This section lists any major frameworks/libraries used in our project.

Example:

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This is how you begin setting up your project locally. To get a local copy up and running follow these simple example steps.

1. Get a free API Key at https://yahoofinance.com
2. Clone the repo

   git clone https://github.com/midsu/CandleVision-.git

3. Install NPM packages

   npm install

4. Enter your API in config.js

   const API_KEY = 'ENTER YOUR API';

5. Also: pip install -r requirements

uvicorn app.main:app --reload

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Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

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Example:

• Annotate data
• Train data
  • ....
  • ....
• Create website
  • UX/UI
  • Widgits
• Add "components" document to easily copy & paste sections of the readme
• Multi-language Support
  • ....
  • .... (for below, refer to the pdf proposal) See the open issues for a full list of proposed features (and known issues).

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Example: Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/CandleVision-)
3. Commit your Changes (git commit -m 'Add some CandleVision-')
4. Push to the Branch (git push origin feature/CandleVision-)
5. Open a Pull Request

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Hamid Suha - 📫 - hsuha@csu.fullerton.edu

Belal Skaik - 📫 - belalaskaik@gmail.com

Project Link: Github Project Link: Github

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Use this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!

Example:

• Choose an Open Source License
• GitHub Emoji Cheat Sheet
• GitHub Pages
• Font Awesome
• React Icons

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