A new study compares Quantum Qutrit-based Neural Networks against standard ANNs for stock prediction. QQTNs achieved the highest risk-adjusted returns and superior consistency via the Information Coefficient. All tested models maintained accuracies above 70%. This suggests qutrit-based architectures handle volatile market data more robustly than binary qubit or classical systems.