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https://github.com/techcsispit/algorithmic-trading
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
https://github.com/techcsispit/algorithmic-trading
matplotlib numpy pandas python sklearn
Last synced: 19 days ago
JSON representation
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
- Host: GitHub
- URL: https://github.com/techcsispit/algorithmic-trading
- Owner: techcsispit
- Created: 2024-09-30T19:24:57.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-10-21T11:24:31.000Z (29 days ago)
- Last Synced: 2024-10-31T11:07:17.970Z (19 days ago)
- Topics: matplotlib, numpy, pandas, python, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 14.4 MB
- Stars: 0
- Watchers: 1
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# Algorithmic Training in Jupyter Notebook
## About
This project focuses on algorithmic training using **Python** in **Jupyter Notebooks**. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
## Requirements
- Python
- Jupyter Notebook
- Libraries: NumPy, Pandas (if applicable)
## Installation
1. Clone the repository:
```bash
git clone https://github.com/techcsispit/Algorithmic-Trading
```
2. Navigate to the project folder:
```bash
cd algorithmic-training
```
3. Install required libraries:
```bash
pip install yfinance
pip install pandas
pip install numpy
pip install matplotlib
```
4. Start Jupyter Notebook:
```bash
jupyter notebook
```
## Contributing
Contributions are welcome! Please follow these steps:
1. Creating an Issue: Before making any changes, create an issue explaining what you'd like to add or change and why
2. Fork the repository.
3. Create a new branch for your feature or bug fix.
4. Make your changes and commit them.
5. Push your changes to your forked repository.
6. Open a pull request detailing your changes.
## Raising an Issue
If you encounter any bugs or have feature requests, please create an issue in the repository. Provide detailed information to assist in addressing the problem.