Artículo: AMZ-B0FZ8TZWCQ

Reinforcement Learning for Trading Systems: Building Adaptive Algorithms in Financial Markets: Design, Train, and Deploy Self-Learning AI Agents for Dynamic Market Strategies Using Python

Disponibilidad
Sin stock
Peso con empaque
0.20 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon

Sobre este producto
  • RL Foundations for Finance: Key concepts of Markov decision processes, Q-learning, and actor-critic models contextualized for trading.
  • Building Market Environments: How to simulate realistic market dynamics, liquidity, and slippage for training intelligent agents.
  • Strategy Development: Designing and testing adaptive strategies for equities, options, and crypto using reinforcement learning frameworks.
  • Deployment & Risk: Integrating RL systems into production pipelines while managing drawdowns, overfitting, and real-world uncertainty.

Producto prohibido

Este producto no está disponible

Este producto viaja de USA a tus manos en
Medios de pago Tarjetas de Débito, Crédito y Deuna

Compra protegida

Disfruta de una experiencia de compra segura y confiable