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ML Crypto-Price Prediction Model using NASDAQ API.

License: MIT License

Python 52.64% HTML 30.63% JavaScript 16.73%
ai bitcoin crypto ml nasdaq

coinwizard's Introduction

CoinWizard

Demo 1 Demo 2

Predict the prices of certain cryptocurrencies by training a PyTorch Model on the history data from the NASDAQ API.

Important: This code trains an RNN-Model, so it will take some time to train the model. The model will be saved in the Backend directory and will be loaded on the next start of the application.

Installation

  1. Clone the repository
git clone https://github.com/fujiwarachoki/CoinWizard.git
  1. CD into the directory
cd CoinWizard
  1. Continue with Usage.

Usage

  1. Get API Key from https://data.nasdaq.com and write it to the file key in the Backend Directory.

  2. Run Start Script

python3 start.py

This will install all the dependencies and start the frontend as well as the backend of the application.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT

Authors

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