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150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
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…
Financial data platform for analysts, quants and AI agents.
Fuels the OpenBB company public metrics
Custom agents for OpenBB Workspace
Backend template to bring your own data into the OpenBB Workspace
Technical Analysis Indicators - Pandas TA Classic is an easy to use Python 3 Pandas Extension with 200+ Indicators and Candlestick Patterns
Predicting stock prices (London Stock Exchange) using quandl and Python
A personal collection of weird, fun, and practical projects I’ve built over the years
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
A game theoretic approach to explain the output of any machine learning model.
Matplotlib styles for scientific plotting
🎵 A simple, clean and cross-platform music player
Portfolio analytics for quants, written in Python
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
Set of tools to assess and improve LLM security.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Utilities intended for use with Llama models.
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
The text editor designed to make coding as simple and fun as playing a video game
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A C++ code to model Black-Scholes, Binomial, and Monte-Carlo pricing strategies for European put/call options.
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
CQF Project based on introducing Pair Trading for Energy Stocks with VAR (Vector Autoregression), Engle Granger Approach, Backtesting, Optimization and Factor Analysis