SharpEducation

Educational notebooks for the Sharp Research YouTube channel — covering technical analysis, regression, logistic regression, machine learning, and economic data strategies, all in Python.

Getting Started

1. Clone the repo and open a terminal in the project folder

2. Create a virtual environment

python -m venv myenv

3. Activate it

Windows:

myenv\Scripts\activate

Mac/Linux:

source myenv/bin/activate

4. Install dependencies

pip install -r requirements.txt

You're ready to go. Open any notebook and adjust the global variables at the top to test different strategies and parameters.

Repository Structure

Requirements

Python 3.8+. All dependencies are listed in requirements.txt.