Is Deep Learning for Image Recognition Applicable to Stock Market Prediction?

Table 4

Accuracy comparison for CNNs with different loss functions during the test period.

	Loss function	Hit ratio	Specificity	Sensitivity
CNN1	MSE	0.66	0.6611	0.6508
	CEE	0.65	0.9596	0.3810
CNN2	MSE	0.67	0.6825	0.6209
	CEE	0.56	0.5248	0.6144
CNN3	MSE	0.62	0.6151	0.6302
	CEE	0.60	0.6429	0.4840
CNN4	MSE	0.62	0.6114	0.6393
	CEE	0.58	0.5939	0.5868