$999.00USD
The Promise:
Move from isolated ML models to fully integrated, autonomous trading agents that can reason through text and optimize policies in real-time.
Chapter 1: Preface
Free Audio Sample
The next frontier of quantitative trading is not just better models, but autonomous agents. Agents that can read news, analyze sentiment, and execute policies in complex, non-stationary environments. But building these systems safely requires a disciplined fusion of NLP and Reinforcement Learning.
This comprehensive course takes you from LLM foundations to hybrid LLM+RL agent deployment. You will build sentiment pipelines with FinBERT, train RL agents with PPO and A2C, and learn to shape rewards to avoid "reward hacking." This is the blueprint for the next generation of autonomous trading infrastructure.
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