A high-performance C++ orderbook engine with microsecond-level latency, supporting multiple ordertypes, price-time priority matching and real time data integration from Binance

Run your GitHub Actions locally 🚀

An AI Hedge Fund Team

Open-source, Notion-like AI editor for your local documents and meetings: chat with PDFs, Word, Excel and PowerPoint, write and fact-check with page citations, and take AI meeting notes transcribed…

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

A Streamlit-powered application that provides a user-friendly interface for editing PDF documents.

Python training for business analysts and traders

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Recreate EP Chan algo trading book strategies

Python client for Alpaca's trade API

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by st…

Code AI platform with Code Search & Cody

📘 The Sourcegraph handbook

Code implementation of the Quantigic 101 Formulaic Alphas

Open Data Platform for analysts, quants and AI agents.

Python toolkit for quantitative finance

VisualHFT Terminal: open-source observability and decision terminal for electronic trading desks. Live Level 2 order books, microstructure analytics, and quantitative execution monitoring.

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command li…

Quantitative analysis, strategies and backtests

Backtest and live trading in Python

Template for a data science project

💻📚💡 DoctorGPT provides advanced LLM prompting for PDFs and webpages.

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼

Pandas Market Predictor, is a deep learning API written in Python on top of Panda that helping you predict future price (low and min), trend of Financial market assets.

If you can measure it, consider it predicted

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scanner

TRADING ECONOMICS - API Code Examples

👩‍💼 a deep dive paradigm shift borne from some blue-sky thinking, delivering a serious repository for touching base on a high-synergised noughts and crosses experience.