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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
Production-grade Rust-native trading engine with deterministic event-driven architecture
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
equity research and financial analysis
Research experiments exploring uncommon quant techniques.
MatchFlow is a full-stack invoice processing and purchase-order matching system—built on Clean Architecture with a React+Nginx front-end, a .NET 6 API back-end, Azure Form Recognizer OCR, Azure Blob Storage, and Docker Compose for one-command local setup.
Decentralized agent memory for the Lightning economy. Nostr identity, L402 payments, MCP server.
The PayPal Server SDK provides integration access to the PayPal REST APIs.
MCP server for SuperScalar — Bitcoin Lightning channel factories. Query protocol specs, estimate UTXO savings, and explore factory architectures.