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

PHD Research Focus

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 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.

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

Completed Tata iQ’s GenAI-Powered Data Analytics Virtual Experience Program — focused on EDA, predictive modeling, stakeholder communication, and AI-driven automation using GenAI tools.

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.

Regime-based evaluation framework for financial NLP stability. Implements chronological cross-validation, semantic drift quantification via Jensen-Shannon divergence, and multi-faceted robustness profiling. Replicates Sun et al.'s (2025) methodology with modular, auditable Python codebase.

🔍 AI-powered credit risk strategy developed through the Tata Data Analytics Virtual Internship. This project focuses on identifying at-risk customers and designing a responsible agentic AI system to reduce credit card delinquency.

📈 Build and leverage open-source financial large language models with FinGPT to enhance your financial analysis and decision-making capabilities.

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.