Name
Abstract | ||
|---|---|---|
Machine learning methods have recently seen a growing number of applications in financial trading. Being able to automatically extract patterns from past price data and consistently apply them in the future has been the focus of many quantitative trading applications. However, developing machine learning-based methods for financial trading is not straightforward, requiring carefully designed targe... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.2997523 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Training,Noise measurement,Data models,Learning systems,Instruments,Time series analysis,Task analysis | Journal | 32 |
Issue | ISSN | Citations |
7 | 2162-237X | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Avraam Tsantekidis | 1 | 34 | 5.41 |
| N. Passalis | 2 | 117 | 33.70 |
| Anastasia-Sotiria Toufa | 3 | 1 | 0.35 |
| Konstantinos Saitas-Zarkias | 4 | 1 | 0.35 |
| Stergios Chairistanidis | 5 | 1 | 0.35 |
| Anastasios Tefas | 6 | 2055 | 177.05 |