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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.

Open source, composable payments platform | PCI compliant | SaaS and Self-host options | Enables connectivity to multiple payment, payout, fraud, vault and tokenization providers | Uplifts authorization with intelligent routing and revenue recovery | Reduce payment processing costs with cost observability | Reduces payment ops with reconciliation

基于Python的开源量化交易平台开发框架

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.

"Vibe-Trading: Your Personal Trading Agent"

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

FinRL®: Financial Reinforcement Learning. 🔥

Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍

modular quant framework.

Common financial technical indicators implemented in Pandas.

FinRL­®-Meta: Dynamic datasets and market environments for FinRL.

dj-stripe automatically syncs your Stripe Data to your local database as pre-implemented Django Models allowing you to use the Django ORM, in your code, to work with the data making it easier and faster.

quant framework for stock

An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]

ACH implements a reader, writer, and validator for Automated Clearing House (ACH) files. The HTTP server is available in a Docker image and the Go package is available.

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

Continuous distribution of funding to your project contributors and dependencies. Integrated into GitHub Actions

From Idea to Execution - Manage your trading operation across a distributed cluster

Self-hosted AI trading strategy lab — paper trading, overnight strategy tournaments, 15+ technical indicators

Self-tuning multi-agent AI trading system. 8-source signal fusion (Polymarket + Kalshi + 10 ML models incl. Kronos foundation model), Bull/Bear/Judge debate on Claude Opus 4.7, Portfolio Manager gate.

An open-source toolkit for quantitative analysis of crypto & stock markets, featuring an advanced market screener, portfolio backtester, and companion tools for the Gunbot trading bot.

AI-powered trading research platform. Test any idea on stocks, futures, and crypto with event studies, backtesting, and statistical validation. MCP server with 8 tools. pip install varrd.

Manipulates Stock / ETF Data

Official MCP server for Frihet ERP — 157 tools for AI-powered invoicing, tax & e-invoicing compliance (VeriFactu, TicketBAI, Facturae), banking, CRM, HR/payroll & POS. Works with Claude, Cursor, Windsurf, Cline, ChatGPT.

Cent-accurate mortgage amortization schedules for Python — validated against CFPB, Fannie Mae, textbooks, and real-world published examples.

MCP server for Central Bank of Russia rates, key rate, inflation and macro stats

MCP server for Central Bank of Russia rates, key rate, inflation and macro stats