Stock Market Analysis

📗 Table of Contents

• 📗 Table of Contents
• 📖 Todo-App
  • 🛠️ Built With
    • Tech Stack
  • Key Features
  • 💻 Getting Started
    • Prerequisites
    • Setup
    • Install
    • Usage
    • Run tests
    • Deployment
  • 👥 Authors
  • Future Features
  • 🤝 Contributing
  • ⭐️ Show your support
  • 🙏 Acknowledgments
  • 📝 License

📖 Stock Market Analysis

Stock market analysis is a prediction of the market's closing price. This project is trained by a decision tree classifier and a decision tree regression model to predict the next 60 days' close price based on the given data.

🛠️ Built With

Tech Stack

Version Control

• Git Hub

Jupyter Notebool

• Jupyter

Key Features

• Predict 60 days close price
• Followed python best practices
• Set up in jubyter lab

(back to top)

💻 Getting Started

To get a local copy up and running, follow these steps.

Prerequisites

In order to run this project you need:

• Jupytyer-lab.
• ppython3.
• Git bash.
• GitHub Account.

Setup

Go to github and find the repository react-todo-app Click on code and copy then go to your gitbash cli on your computer Clone this repository to your desired folder --->

Install

Install this project with: jupyter-lab

Usage

To run the project, execute the following command: Open the cloned folder in your git terminal. Then run 'jupyter-lab'.

(back to top)

👥 Authors

👤 Paul Tesfaye

• GitHub: paul-tes
• LinkedIn: paul

(back to top)

Future Features

• Precision result provided
  
• pridiction graph provided
  

(back to top)

🤝 Contributing

Contributions, issues, and feature requests are welcome!
Feel free to check the https://github.com/Paul-tes/Stock-Market-Analysis-using-python

(back to top)

⭐️ Show your support

If you like this project please follow me on github & twitter and also connect on Linkedin.

(back to top)

🙏 Acknowledgments

I would like to thank Microverse for required documentations and instructions

(back to top)

📝 License

This project is MIT licensed.

(back to top)