Time-Series-Stock-Predictor

Tech Stack Used:

Python fastApi for backend
HTML & JS for Frontend
postgreSQL 14 as Database

Follow the steps below to setup your project.

installation packages:

pip install ta
pip install fastapi uvicorn
pip install python-dotenv
pip install tensorflow
pip install celery
pip install sqlalchemy
pip install psycopg2

create a .env file

Write the below things in the env file

API_KEY_1 = "YOUR_API_KEY"
API_KEY_2 = "YOUR_API_KEY"
API_KEY_3 = "YOUR_API_KEY"
BASE_URL = 'https://www.alphavantage.co/query'
DATABASE_URL = "postgresql://{user}:{password}@localhost:{portnumber}/{database_name}"

To run application in vscode:

uvicorn main:app --reload

To predict model :

http://127.0.0.1:8000/api/v1/stock_prices/{bse_stock_name}

replace bse_stock_name with your stock name.