Gradient Investor

Project for analysing and building custom stock trading robots.
Read more about tech stack in each folder.

Innhold

• Set Up Locally
• Docker

Setup Locally

Frontend is initialized as a react and typescript project with "npm create vite@latest".

2. Clone project

C:\Users\user\folder>git clone <link>

3. Splt terminal and navigate to folders

C:\Users\user\folder>project>stock-typescript>

C:\Users\user\folder>project>flask-server>

4. Create enviorment and install packages

C:\Users\user\folder>project>stock-typescript>npm install

C:\Users\user\folder>project>flask-server>python -m venv <virtual-environment-name>
C:\Users\user\folder>project>flask-server>source env/bin/activate

Windows:
 env/Scripts/activate.bat //In CMD
 env/Scripts/Activate.ps1 //In Powershel

C:\Users\user\folder>project>flask-server>pip install -r requirements.txt

5. Run project

C:\Users\user\folder>project>stock-typescript>npm run dev

(env) C:\Users\user\folder>project>flask-server>python server.py

Setup Docker