NeoQuant

Evidence-first quantitative research

Machine learning

Use ML with temporal splits, calibrated targets, and realistic complexity.

Use ML with temporal splits, calibrated targets, and realistic complexity.

Learning outcome: Identify when model sophistication exceeds available evidence.

Practice task: Design a leakage-safe target and time-series cross-validation scheme.

Specialist context: sentinel.