AI in Algorithmic Trading & Portfolio Optimization
A research guide to supervised, unsupervised, reinforcement, and agentic approaches in trading and portfolio management.
THE DECISION
Where can different AI approaches support investment workflows, and which risks and governance controls matter?
APPROACH
- Compared four AI paradigms and their investment use cases
- Mapped data, validation, and model-risk concerns
- Connected portfolio objectives to analytical techniques
- Emphasized governance and implementation limits
EVIDENCE & DELIVERABLES
- Seven-page completed research article
EVIDENCE INTEGRITY
This case is presented as research guide · not a software implementation. The label distinguishes observed work from simulated impact, proxies, historical comparisons, or proposed architecture.