Learning & Adaptation

The model continuously improves through a weekly retraining loop:

• Reweights or removes underperforming indicators

• Integrates recent volatility, trend behavior, and order flow dynamics

• Optimizes hyperparameters to maximize Sharpe, reduce drawdown, and increase precision

• Tests new combinations of indicators against historical setups

This keeps the engine aligned with evolving market conditions—without requiring human reprogramming.

“IAESIR is not a static bot. It’s a living model that learns from its own decisions.”