#CurrencyPairPrediction Limitations and Challenges • Overfitting: Model might learn the noise instead of the signal if not properly trained. • Data Dependency: Requires large amounts of clean, high-quality data. • Black Box Problem: Neural networks don’t explain why a decision is made—this reduces transparency. • Computational Cost: Training deep networks can be resource-intensive. • Market Anomalies: Cannot always predict unexpected geopolitical events or black swan events.