https://github.com/linuxto5re/crypto_hybrid_analysis

A web application that uses historical cryptocurrency data to train machine learning models and live data to determine trade weightage, built with Python and Django REST Framework for the backend and React.js for the frontend
https://github.com/linuxto5re/crypto_hybrid_analysis

django-rest-framework drf python reactjs rest-api websockets

Last synced: 2 months ago
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A web application that uses historical cryptocurrency data to train machine learning models and live data to determine trade weightage, built with Python and Django REST Framework for the backend and React.js for the frontend

• Host: GitHub
• URL: https://github.com/linuxto5re/crypto_hybrid_analysis
• Owner: LinUxTo5re
• Created: 2024-06-25T18:51:28.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2024-11-11T17:01:56.000Z (over 1 year ago)
• Last Synced: 2025-05-07T06:16:06.195Z (about 1 year ago)
• Topics: django-rest-framework, drf, python, reactjs, rest-api, websockets
• Language: JavaScript
• Homepage:
• Size: 765 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
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# Crypto Trade Weightage Analyzer 

Crypto Trade Weightage Analyzer is a web application that leverages historical cryptocurrency data to train machine learning models and uses live data to determine the weightage of trades. The backend is built with Python and Django REST Framework (DRF), while the frontend is developed using React.js.

## Features

- **Historical Data Analysis**: Train machine learning models using historical cryptocurrency data.

- **Real-Time Data Processing**: Fetch and process live cryptocurrency data to compute trade weightages.

- **Interactive UI**: User-friendly interface to visualize trade recommendations and model insights.

- **Scalable Architecture**: Modular and scalable codebase with a RESTful API and modern frontend.

## Technologies Used

- **Backend**:

  


  

  ![Django](https://img.shields.io/badge/django-%23092E20.svg?style=for-the-badge&logo=django&logoColor=white) 

  ![DjangoREST](https://img.shields.io/badge/DJANGO-REST-ff1709?style=for-the-badge&logo=django&logoColor=white&color=ff1709&labelColor=gray) 

  ![Socket.io](https://img.shields.io/badge/Socket.io-black?style=for-the-badge&logo=socket.io&badgeColor=010101)

  

- **Frontend**:

  


    ![JavaScript](https://img.shields.io/badge/javascript-%23323330.svg?style=for-the-badge&logo=javascript&logoColor=%23F7DF1E) 

    ![React](https://img.shields.io/badge/react-%2320232a.svg?style=for-the-badge&logo=react&logoColor=%2361DAFB) 

    ![Bootstrap](https://img.shields.io/badge/bootstrap-%238511FA.svg?style=for-the-badge&logo=bootstrap&logoColor=white) 

    ![CSS3](https://img.shields.io/badge/css3-%231572B6.svg?style=for-the-badge&logo=css3&logoColor=white) 

    ![MUI](https://img.shields.io/badge/MUI-%230081CB.svg?style=for-the-badge&logo=mui&logoColor=white)

  

- **Data Handling**:

  


  

    ![NumPy](https://img.shields.io/badge/numpy-%23013243.svg?style=for-the-badge&logo=numpy&logoColor=white) 

    ![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge&logo=pandas&logoColor=white) 

    ![scikit-learn](https://img.shields.io/badge/scikit--learn-%23F7931E.svg?style=for-the-badge&logo=scikit-learn&logoColor=white)

  

- **WebSockets**: Real-time data fetching and updates

## Screenshots

1) Options to search pre-defined market or custom market along with Indicator/strategy/Trade possibilities:


   ![image](https://github.com/user-attachments/assets/ca72ffe8-ba65-44bc-8246-b47b61d71106)


2) Market Loaded with live trade data and OHLC data for indicator:


   ![image](https://github.com/user-attachments/assets/2d8919a2-532d-4c43-95d7-ec23e92da57e)


   

3) EMA Indicator with custom formula:


   ![image](https://github.com/user-attachments/assets/da617807-2341-42be-88df-48d96d37e9f5)