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Trading platform

This repository contains the backend implementation for a trading platform, built using Spring Boot for the core backend services and a Python component for predictive modeling. The project is designed to provide a robust and scalable backend for trading-related applications, integrating RESTful APIs with machine learning capabilities.

Technologies Used

Spring Boot:

Backend framework for building RESTful APIs and handling business logic.

Java:

Core programming language for the backend.

Python:

Used for machine learning model inference or additional scripting.

Pickle (.pkl):

Serialized pre-trained machine learning model.

Maven:

Dependency management for the Spring Boot application.

Swagger

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