StockCatalyst web application designed to empower you, the modern investor, with the time-tested stock trading methodology used by market wizards like Stan Weinstein, Mark Minervini, and William O'Neil. These legendary figures have built their success on proven strategies, and now, StockCatalyst puts that same power in your hands.Imagine automating tedious stock analysis, freeing yourself to focus on making informed investment decisions. StockCatalyst does the heavy lifting, leveraging these market-proven strategies to identify high-growth potential stocks with serious upside. No longer do you need to spend countless hours sifting through data – StockCatalyst streamlines the process, allowing you to focus on what matters most: building your wealth.
This app goes beyond basic stock analysis. By incorporating the wisdom of market wizards, StockCatalyst equips you with a powerful edge. Gain insights you might have missed, discover hidden gems with explosive potential, and make smarter investment decisions – all with the help of StockCatalyst.
StockCatalyst_workflow.mp4
- Developed a robust web scraping tool leveraging Python to extract real-time stock prices from Yahoo Finance and fundamental evaluation metrics from MarketSmith websites.
- Implemented time-tested investment strategies including Stan Weinstein's stage analysis, Mark Minervini's trend template, and elements of the CANSLIM approach by William O'Neil.
- Designed and built a user-friendly interface using Streamlit, enabling intuitive display and interaction with analysis results for users.
- Automated data collection and analysis tasks, significantly improving reliability and reducing manual effort in stock screening and evaluation.
StockCatalyst successfully integrated advanced web scraping techniques with sophisticated investment strategies, providing users with actionable insights into high-strength stocks. The project not only demonstrated technical proficiency in web scraping and data analysis but also showcased the ability to translate complex investment methodologies into practical, automated solutions.
Some potential features for future releases:
- More advanced forecasting models like LSTM
- Scalable to more trading strategies
- Portfolio optimization and tracking
- Additional fundamental data & User account system
Run the following commands basic commands
sudo apt-get update -y
sudo apt-get upgrade
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
sudo usermod -aG docker ubuntu
newgrp docker
To Cloning private git repository need to generate token on Github
git clone https://<generatedtoken>@github.com/<your account or organization>/<repo>.git
Building Docker file on EC2 instance and moving images into Docker hub (For Backend workflow)
docker build -f Dockerfile_webscrape -t itsmesivaa/webscrape:latest .
Building Docker file on EC2 instance and moving images into Docker hub (For Frontend workflow)
docker build -f Dockerfile_stockcatalyst -t itsmesivaa/stockcatalyst:latest .
Checking listed images after successful build
docker images -a
Running docker images on EC2 instance all the time even after closing Note: Running docker with -d will indefinetely run the container even after the instance close i.e, 24hours running on EC2 instance
docker run itsmesivaa/webscrape
docker run -p 8501:8501 itsmesivaa/stockcatalyst
docker ps
#Command to stop docker container
docker stop container_id
#Deleting Docker containers
docker rm $(docker ps -a -q)
docker login
Backend docker file:
docker push itsmesivaa/webscrape:latest
Fronend docker file:
docker push itsmesivaa/stockcatalyst:latest
Backend docker file:
docker rmi itsmesivaa/webscrape:latest
Fronend docker file:
docker rmi itsmesivaa/stockcatalyst:latest
Backend docker file:
docker pull itsmesivaa/webscrape
Fronend docker file:
docker pull itsmesivaa/stockcatalyst