A practical ML pipeline built for real-world signal workflows and execution readiness.
Real-time market feeds with engineered signal features.
Momentum, volatility, and structure features are normalized.
Ensembled predictors evaluate directional probability.
Signals include confidence and risk-aware context.
Feature contribution context improves trader trust and review.
Signals are delivered to dashboard and automation workflows.