23 citations · 47 across the 4 of their papers we have counts for
4 papers
Learning to simulate realistic limit order book markets from data as a World Agent
Andrea Coletta, Aymeric Moulin, Svitlana Vyetrenko +1
Multi-agent market simulators usually require careful calibration to emulate real markets, which includes the number and the type of agents. Poorly calibrated simulators can lead t…
CTMSTOU driven markets: simulated environment for regime-awareness in trading policies
Selim Amrouni, Aymeric Moulin, Tucker Balch
Market regimes is a popular topic in quantitative finance even though there is little consensus on the details of how they should be defined. They arise as a feature both in financ…
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets
Selim Amrouni, Aymeric Moulin, Jared Vann +3
Model-free Reinforcement Learning (RL) requires the ability to sample trajectories by taking actions in the original problem environment or a simulated version of it. Breakthroughs…
Towards Realistic Market Simulations: a Generative Adversarial Networks Approach
Andrea Coletta, Matteo Prata, Michele Conti +5
Simulated environments are increasingly used by trading firms and investment banks to evaluate trading strategies before approaching real markets. Backtesting, a widely used approa…