ML – Ugur Candan

Forex News Trading with Machine Learning

Posted on 09/05/202609/05/2026 by Ugur

1 source·May 9, 2026 This research examines how machine learning can be used to systematically trade the foreign exchange market by analyzing macroeconomic news events. High-impact reports like Nonfarm Payrolls and interest rate decisions create predictable price patterns that can be exploited through sentiment analysis and deep learning models. The text highlights specialized tools like FinBERT and LLM-powered agents that process news data to predict currency movements and optimize trade execution. Beyond technical modeling, the…

Ensemble Learning Methods for Forex Prediction

Posted on 12/04/202612/04/2026 by Ugur

Executive Summary This document presents a comprehensive, APA-formatted analysis of 24 ensemble learning studies for Forex forecasting conducted between 2021 and 2025. The analysis standardizes performance metrics across heterogeneous reporting formats and provides method-specific rankings, architecture analysis, and implementation recommendations. Conclusion This comprehensive analysis of 24 Forex ensemble studies from 2021-2025 reveals significant advances in ensemble methods for currency forecasting. Key findings include: Major Trends: Best Practices: Research Gaps: Future Directions: