Table 6 Showing machine learning models and studies that made use of it
From: Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis
Machine learning algorithms | Studies | Number of studies |
|---|---|---|
LSTM | [P1], [P3], [P4], [P6], [P7], [P8], [P10], [P14], [P15], [P19], [P20], [P21], [P23], [P25], [P40], [P43], [P54], [P55], [P56] | 19 |
ANN | [P2], [P5], [P7], [P9], [P10], [P11], [P12], [P13], [P18], [P27], [P28], [P39], [P45], [P46], [P51], [P52], [P53], [P57], [P59] | 19 |
CNN | [P4], [P11], [P16], [P57], [P58] | 6 |
SVM | [P7], [P24], [P26], [P36], [P37], [P42], [P45], [P48], [P50], [P57], [P60] | 11 |
GRU | [P8], [P10], [P20], [P56] | 4 |
RL | [P9], [P25] | 2 |
MLP | [P10], [P26], [P33], [P56] | 4 |
Logistic/Linear Regression, Regularized Logistic/Linear Regression, Gradient Boosting Classifier/Regression | [P11], [P12], [P22], [P53] | 4 |
RNN | [P15], [P16], [P17], [P20], [P30], [P38], [P43], [P56] | 8 |
Decision Tree | [P26], [P44], [P49] | 3 |
RBF | [P26], [P50] | 2 |
Bayesian Compressed Vector Autoregression | [P31] | 1 |
fuzzy relational model | [P32], [P33], [P34], [P35], [P59], [P60] | 6 |
Genetic algorithm | [P36], [P45] | 2 |
KNN | [P41] | 1 |
Naïve Baye | [P47] | 1 |
Extreme Learning Machines (ELMs) | [P29] | 1 |