#CurrencyPairPrediction Summary Hyperparameter tuning is critical to squeeze the best performance from Forex AI models. It’s not just about having a model — it’s about having the best possible version of that model. • Manual → Grid → Random → Bayesian methods. • Time-series cross-validation is essential. • Focus on realistic trading metrics, not just theoretical prediction accuracy. • Good tuning can double or triple your profitability compared to poorly tuned models. Bonus Tip: For live Forex AI trading systems, it’s often better to slightly underfit (safer generalization) rather than over-optimizing on historical data.