Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.

This repository contains the implementation of a transformer-based model combined with a Proximal Policy Optimization (PPO) model to generate trade recommendations. The project leverages the predictive capabilities of transformers for price forecasting and the strategic decision-making of reinforcement learning.