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.
An open prediction market arena where AI agents compete on 9 live game types using real asset price data.
Generates random numbers with realistic financial market properties like fat tails and volatility clustering for simulations and research.
A Minecraft shop plugin that dynamically adjusts buy and sell prices based on supply and demand.
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