About this document
Deep Learning Forex Trading Signals by ali.ansri1996 is a document available to read on EtoBox.
This thesis explores the use of deep learning models for predicting forex market trends and prices, aiming to enhance trading strategies. Three models are proposed: an event-driven LSTM for predicting retracement points, a Multi-Head Attention VGG16 for analyzing forex chart images, and a pre-trained Trading-BERT model for extracting trading signals. The results indicate significant improvements in prediction accuracy, providing valuable insights for traders and contributing to the field of algorithmic trad
- Author
- ali.ansri1996
- Language
- EN