Computational framework for Mean-Field Game-based optimal execution with latent market dynamics, endogenous price impact, posterior filtering, and heterogeneous agent equilibrium interactions.
python numpy matplotlib quantitative-finance numerical-methods hidden-markov-model algorithmic-trading stochastic-processes multi-agent-systems optimal-execution computational-finance posterior-probability financial-engineering market-microstructure stochastic-control mean-field-games quant-research price-impact equilibrium-modeling partial-information
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Updated
Jun 18, 2026 - Python