Introduction

High-frequency macro data releases (US job report, Eurozone inflation, China PMI) create sharp FX volatility spikes when actual figures deviate from expectations. High-frequency trading strategies that position ahead of releases and trade the volatility spikes can generate significant alpha. Machine learning models predicting release surprises and associated FX reactions enable systematic exploitation of macro data calendars.

Release Calendar and Surprise Prediction

Track scheduled macro releases and their importance for each currency pair. Model release surprises (actual minus forecast) using alternative data (nowcasts from satellite/mobility data, high-frequency job posting trends). Position FX trades based on surprise predictions. Test strategies on historical data to confirm alpha.

Conclusion

Systematic macro data trading, powered by surprise forecasts and ML timing models, captures intraday FX alpha around scheduled economic releases.