About this page
The Advanced section focuses on moving from single-strategy thinking to portfolio-level robustness. Here you will learn:
- How to backtest baskets of symbols and manage correlation/exposure.
- Parameter optimization done safely (cross‑validation, stress tests, sensitivity).
- Execution quality: spreads, slippage, latency, and post‑trade reconciliation.
- Designing a risk engine (limits, kill‑switches, health checks, alerts).
- Alpha research workflow: hypothesis → features → validation → monitoring.
Use these practices to build strategies that survive different regimes and real execution costs.