upgradeable-green-bonds

Investment Research for Everyone, Everywhere.

An open source payments switch written in Rust to make payments fast, reliable and affordable

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

TradingAgents: Multi-Agents LLM Financial Trading Framework

Solidity, the Smart Contract Programming Language

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

? Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. ?YC W23

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view