Popular GitHub Repositories for Fintech

FinRL: Financial Reinforcement Learning. ?

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

List of awesome resources for machine learning-based algorithmic trading

Datasets, papers and books on AI & Finance.

Metering and Billing for AI, API and DevOps. Collect and aggregate millions of usage events in real-time and enable usage-based billing.

NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.

FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.

State-of-the-art models in AI,ML,NLP & Vision for FinTech community by Yubi Data Science Team

Stock price prediction using Bidirectional LSTM and sentiment analysis

A curated list of AI cases in Finance, financial data sets, and research papers.

3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner focusing on using Natural Language Processing, AI Portfolio Optimisation and Machine Learning to produce an Automated Trading Agent. Received 89% overall.

? An intelligent stock trading bot combining technical & qualitative analysis with Interactive Brokers TWS API integration

This project proposes a novel methodology to automatically learn financial lexicons that outperform the benchmark Loughran-McDonald lexicon in sentiment analysis tasks

Welcome to Stock Contender – an AI-powered tool designed to assist your market analysis. This tool is not an investment advisor and does not guarantee profits. Invest at your own risk. Stay updated with my latest developments.

BankLLM is an AI-driven recommendation engine for banking, using OpenAI's models to analyze customer data and generate personalized product suggestions. It integrates LangChain, FAISS, and LangServe, with a FastAPI backend and Streamlit frontend, following an LLMOps approach for scalable deployment.

Analysis of the sentiment of the latest news articles on Bitcoin and Ethereum using sentiment analysis, natural language processing and named entity recognition.

This project is a cloud application dedicated to auto cryptocurrency trading powered by primitive text scraping, text classification, and time series analysis.

This project is a demonstration of a Financial Risk Assessment application that predicts risk tolerance based on user-provided financial data. It combines machine learning models (Logistic Regression and LightGBM), FastAPI for the backend, and Streamlit for the frontend to create an interactive web application.

Building, experimenting, and deploying a machine learning-based solution for sentiment analysis on financial news articles