Advancing Forex prediction through multimodal text-driven model and attention mechanisms
The Forex market, characterized by high volatility and complexity, presents a significant challenge for accurate prediction of currency price movements. Traditional approaches often rely on either technical indicators or sentiment analysis, limiting their ability to capture the interplay between div...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305325000444 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|