The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

A curated list of awesome decentralized finance projects

ATTENTION: This project is no longer being updated. If you're still interested, feel free to read on... "A web-based personal finance manager with a focus on non-OCD budgeting and avoiding credit card debt"

📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

A curated collection of my quantitative finance research projects. Explores sector rotation, multi-factor models, and AI-driven strategies (machine learning/deep learning) across high, mid, and low frequencies. Each project includes full code and analysis. Continuously updated.

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

BERT for Finance : UC Berkeley MIDS w266 Final Project

A curated list of DeFi (decentralized finance) project trackers, analytics dashboards, and resources.

A comprehensive learning roadmap for mastering the core disciplines necessary for successful sole algorithmic trading. This repository serves as a structured template, guiding users through essential topics in software engineering, data science, machine learning, and finance. It combines certifications, curated resources, and hands-on projects.

Personal finance tracking project

A collection of projects published by Bloomberg's Quantitative Finance Research team.

A curated list of oracle methods used in decentralized finance (DeFi) projects.

Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user mentions and displaying details for each trending topic using trends graph, live tweets and summary of related articles. It also included Topic Modelling and Entity Categorization to classify the tweets and extract valuable information about its contents and find similar tweets and related articles and URLs. A trending topic is represented as a word cloud created from set of keywords (hashtags or user mentions) that belong to that topic. Thus this application provides the required information to get an overhaul of the topics which are trending at that particular time. This data can be used to support social analysis, finance, marketing or news tracking.

Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.

Blockchain Development for Finance Projects, published by Packt

Tutorial on DDD (Domain-Driven Design), by building a Web App with the theme "Personal Finance Management". Adapted from a group project in university.

List of decentralized finance projects on Ethereum.

This is a course project of the course « Machine Learning for Finance » at ENSAE ParisTech.

Core implementation of the Cosmic Ledger project, a decentralized finance ecosystem integrating Pi Network, Stellar, and Pi Nexus. This repository contains the foundational codebase for the Cosmic Ledger protocol, including cross-chain interoperability

A curated list of awesome decentralized finance projects, software, DeFi project trackers, analytics dashboards, and, DeFi product management resources.

This repository contains several exercises in Python and R, mainly in the area of finance, financial modeling, and statistics.

a collection of R projects, mostly relating to finance

A decentralized finance (DeFi) project that aims to revolutionize the traditional staking model by introducing a dynamic staking approach.

Best free, open-source datasets for data science and machine learning projects. Top government data including census, economic, financial, agricultural, image datasets, labeled and unlabeled, autonomous car datasets, and much more. Data.gov NOAA - https://www.ncdc.noaa.gov/cdo-web/ atmospheric, ocean Bureau of Labor Statistics - https://www.bls.gov/data/ employment, inflation US Census Data - https://www.census.gov/data.html demographics, income, geo, time series Bureau of Economic Analysis - http://www.bea.gov/data/gdp/gross-dom... GDP, corporate profits, savings rates Federal Reserve - https://fred.stlouisfed.org/ curency, interest rates, payroll Quandl - https://www.quandl.com/ financial and economic Data.gov.uk UK Dataservice - https://www.ukdataservice.ac.uk Census data and much more WorldBank - https://datacatalog.worldbank.org census, demographics, geographic, health, income, GDP IMF - https://www.imf.org/en/Data economic, currency, finance, commodities, time series OpenData.go.ke Kenya govt data on agriculture, education, water, health, finance, … https://data.world/ Open Data for Africa - http://dataportal.opendataforafrica.org/ agriculture, energy, environment, industry, … Kaggle - https://www.kaggle.com/datasets A huge variety of different datasets Amazon Reviews - https://snap.stanford.edu/data/web-Am... 35M product reviews from 6.6M users GroupLens - https://grouplens.org/datasets/moviel... 20M movie ratings Yelp Reviews - https://www.yelp.com/dataset 6.7M reviews, pictures, businesses IMDB Reviews - http://ai.stanford.edu/~amaas/data/se... 25k Movie reviews Twitter Sentiment 140 - http://help.sentiment140.com/for-stud... 160k Tweets Airbnb - http://insideairbnb.com/get-the-data.... A TON of data by geo UCI ML Datasets - http://mlr.cs.umass.edu/ml/ iris, wine, abalone, heart disease, poker hands, …. Enron Email dataset - http://www.cs.cmu.edu/~enron/ 500k emails from 150 people From 2001 energy scandal. See the movie: The Smartest Guys in the Room. Spambase - https://archive.ics.uci.edu/ml/datase... Emails Jeopardy Questions - https://www.reddit.com/r/datasets/com... 200k Questions and answers in json Gutenberg Ebooks - http://www.gutenberg.org/wiki/Gutenbe... Large collection of books

Equinox is an open source platform that supports the holistic risk management of sustainable finance projects

This Repository contains the real life use cases of GenAI (LLM+RAG) in Finance Domain. I covers many projects use cases with theory and projects.

I wrote a Master's in Finance thesis on Monte Carlo simulation of the Multifractal Model of Asset Returns. This is a model developed in the late 1990's by Benoît Mandelbrot and his two students, Laurent Calvet and Adlai Fisher. I had never programmed before and this was my first big coding project — so sorry if the code sucks! I did what I could :)

The information system chosen for the project was a stock investment management website providing live prices, historical data, news articles, etc and also basic analysis and recommendations using data mining techniques. 1. Crawling and parsing Yahoo-Finance, Reuters and Twitter data (Java, twitter4j). 2. Web Interface using J2EE and Struts-2 framework. jQuery (highstocks lib) for showing technical charts. 3. Database integration, data cleaning, feature selection on the collected data and applying linear regression and classification algorithms : SVM, Naive Bayes to produce detailed analysis and recommendations.