AI Market-Maker: Optimal Quoting Simulator

An automated market-making agent has to quote a buy price and a sell price for an asset it doesn't want to hold or short indefinitely, while a competitor's order flow can hit either side at any moment. This simulator renders that problem in 3D using the Avellaneda–Stoikov optimal market-making model: a scrolling price ribbon tracks the simulated mid price, a reservation-price marker shows how the agent's true center shifts away from the market whenever it is carrying inventory, and a fading depth ladder visualises how counterparty order flow thins out with distance from the mid under the current liquidity setting. Adjust risk aversion, order-flow decay and volatility to see the AI widen its spread, skew its quotes, and manage a live mark-to-market P&L exactly as a real electronic market-making desk would.