CandleVision

Contact

Hamid Suha - 📫 - [email protected]

Belal Skaik - 📫 - [email protected]

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🔭 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.

Project Report:

https://docs.google.com/document/d/1SXelSVnoR6RSO9Q5sHS1KjTXn8CliMYPHwRjejdnC3E/edit?usp=sharing

Table of Contents

1. Contact
2. About The Project
3. Getting Started
   • Prerequisites
   • Installation
4. Roadmap
5. Software Development

About The Project

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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Getting Started

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

Prerequisites

Environment Setup

• Windows:

  .\venv\Scripts\activate

• macOS and Linux:

  source venv/bin/activate

Installation

1. Clone the repo

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

2. Install requiements

pip install -e .

Running the server:

uvicorn app.main:app --reload

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Roadmap

• Annotate Dataset
  • CVAT annotation software
• Train the model on annotated dataset
  • YOLO Ai
• Screenshot stock ticker chart
• Crop charts screenshot
• Detected candlestick
• Define the detected candlestick
• Sent sms alert
  • Twillio sms

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Contributing

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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Software Development

📋 Languages:

🖥️ ML/DL:

🕓 Version Control:

📚 Frameworks/ Libraries:

☁️ Hosting:

💬 Communication:

🖥️ Editors: