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portfolio-simulation

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Reinforcement learning based optimizer with extensible architecture. Using plug-ins it can be used for trading strategy, porfolio or hyperparameter optimization, using optimization methods like genetic algorithms or q-learning, and diverse agent types as heuristic strategies or using machine learning on observations to produce agent control actions

  • Updated Feb 1, 2025
  • Python

A modular finance simulation engine for experimenting with financial systems using configurable agents, data pipelines, and interactive interfaces. It supports scenario-based simulations and user interaction for education, prototyping, and early-stage product exploration, designed as a scalable experimentation framework.

  • Updated Mar 8, 2026
  • Python

This project simulates wealth accumulation during the pre‑retirement phase using multiple financial return models. The goal is to compare deterministic and stochastic approaches to long‑term portfolio growth.

  • Updated Mar 12, 2026
  • Python

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