OOP stock analyser and filter with AI modelling, daily indicators, multithreaded IO and streamlit frontend
app2.py, stock2.py and stock_screener2.py correspond to the streamlit version app.py and stock_screener.py are a command line version without any visualization
INSTALLATION: Clone repo Navigate to project directory run: pip install -r requirements.txt run the app with: streamlit run app2.py
DOCKERFILE: Run the docker image in terminal with: docker run -p 8501:8501 stock-screener2-mt
Alternatively use this link: https://rodneyfinkel-stock-screener-app2-lgkrvg.streamlit.app/