Big Data and Alternative Data in FX Forecasting

The complexity and volatility of the foreign exchange market demand real-time insights from a wide array of non-traditional data sources. This course provides a hands-on, practical guide to leveraging **Big Data** and **Alternative Data** for enhanced FX forecasting, currency valuation, and tactical trading strategies within the context of reserve management. Participants will learn how to source, clean, and process unstructured and high-velocity data, including satellite imagery, web-scraped data, social media sentiment, and specialized transaction metrics. The program emphasizes applying advanced econometric and machine learning techniques—such as Natural Language Processing (NLP) and deep learning time series models—to extract alpha signals and improve the predictive power of traditional macroeconomic models. The core objective is to integrate these non-conventional data streams into a robust, policy-aligned decision framework, moving beyond standard public economic releases. Special attention will be paid to data governance, ethical considerations, and the regulatory challenges of using non-public information.