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TALON: A C++ deterministic event-driven framework for latency-aware agent-based limit order book simulation. Features global discrete-event scheduling, independent instrument clocks, and a shadow LOB to prevent look-ahead bias.
Reproducibility code for Hafsi & Vittori (ACDSA 2026), Optimal Execution with Reinforcement Learning in a Multi-Agent Market Simulator: ABIDES-Gym environment, DQN training, baselines, all figures and tables
Risk Optimizing Holistic Agentic Network: agentic framework for autonomously evolving and stress-testing trading strategies, using LLMs and market simulation.