Showing 6 of 6 projects
A framework for autonomous AI trading agents that self-improve their prompts through market feedback and Darwinian selection.
A high-performance matching engine for limit order books written in Go, supporting market/limit orders and cancellations.
A reinforcement learning environment for training trading agents using real Korean equities orderbook and execution data.
Generates random numbers with realistic financial market properties like fat tails and volatility clustering for simulations and research.
An open prediction market arena where AI agents compete on 9 live game types using real asset price data.
A Minecraft shop plugin that dynamically adjusts buy and sell prices based on supply and demand.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.