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.

A quant trading system platform based on FinGPT, demonstrating new applications of large pre-trained Language Models in quantitative finance.

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.

A Python script to classify companies based on financial metrics like Piotroski F-Score and Stock Valuation, using CSV financial data for analysis and output.

Stock Scoring – Implements a scoring system for stocks to determine buy/sell signals based on predefined criteria. 🚀📈

A Flask-based web app that predicts future stock prices using an LSTM deep learning model. Users can register, log in, and view visual forecasts, comparisons, and analytics on stock trends. Includes admin dashboard, feedback system, and live data from Yahoo Finance.

FinSlash is brought to you by the 3JT Team, a passionate group of innovators at the intersection of finance and technology. Our goal? To empower financial institutions and individuals with tools that make loan decisions transparent, efficient, and data-driven.