Reference | Technique | No. of data source | Input data source | Sock data | Reported Results |
---|---|---|---|---|---|
[1] | Co-evolving tensor-based learning | 2 | W & SM | China A-share and HK stock | 55–63% |
[7] | extended coupled hidden Markov | 2 | W & HSD | China A-share | 52–63% |
[44] | NN, LR, SVM, KNN, RF, AB & KF | 2 | HSD & MD | NS | NS |
[45] | Â | 2 | W & HSD | S&P 500 SPY index | p-value better than 0.05 |
[24] | CNN and RNN | 2 | HSD & W | Â | Â |
[8] | Multi-Source Multiple Instance Learning | 3 | HSD, SM & W | China A-share | 62.1% |
[43] | Delta Naive Bayes (DNB) | 3 | W, SM & GS | Argentina, Peru & Mexico | p-value (0.583–0.702) |
[9] | ANN | 3 | W, SM and GS | Ghana | Accuracy (49.4 – 77.12)% |