Wall Street Sentiments Backend

This repository contains the backend for Wall Street Sentiments. It's a web app designed to predict the price direction of today's most discussed stocks on Reddit. This prediction is powered by a combination of fundamental stock information and data from Reddit on those stocks. This also includes sentiment data.

🛠️ Tech stack

The backend is built in Python with AWS providing the cloud infrastructure.

More details

• Data Lake: S3
• ETL Components: AWS Lambda
• Orchestration: AWS Step Functions
• Database: MongoDB
• Continuous Deployment: GitHub Actions
• REST API: API Gateway
• Image Repository: AWS ECR

📁 Folders and Branches

• The workflows folder contains code for the ETL components.
• The api_lambdas folder contains code for the REST API lambdas.
• The dev-experiments-data-science branch contains all the experimentation and exploratory notebooks.

📐 ETL Architecture

☁️ Cloud Architecture