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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.
Free and Open Source Enterprise Resource Planning (ERP)
Polar — A billing platform for the intelligence era
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
A shared budget web application
Bitcart is a free and open-source self-hosted payment processor for BTC, LTC, BCH, XMR, ETH, TRX, USDT and more
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
SHKeeper is a self-hosted and open-source cryptocurrency gateway payment processor. It's integrate with popular CMS, any e-commerce, your own code or product
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
Lightweight Bitcoin payment processor written in easily deployable Python. Self custody donations and payments on-chain & Lightning network, directly connected to your own Bitcoin node! No middleman/custodian.
Trading Environment(OpenAI Gym) + PPO(TensorForce)
Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.
Translated[Maintenance stopped] New version updates have been moved to the correspondingly named project under the IBATS project group. Connects to the Huobi exchange to get real-time and historical Huobi market data, saves it to a MySQL database and broadcasts it via Redis, for the ABAT trading platform to use for strategy backtesting, analysis, and trading.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.