Forecasting EURUSD Hourly Volatility with Prophet

Summary

This article introduces Prophet’s trend, seasonality, changepoint, and holiday components, then applies the model to hourly EURUSD data from MetaTrader 5. It defines the target as each bar’s high-to-low range, converts timestamps and volatility into the format Prophet requires, and explores calendar features such as hour and day of week. The workflow separates data into training and later test periods, fits a forecast model, and describes using the output in a MetaTrader 5 trading robot.

The discussion presents Prophet as useful for time series with trends and recurring seasonal structure, while noting that forecasts can be wrong if the model is poorly specified. The example targets volatility rather than price direction, and its feature plots are exploratory evidence of calendar relationships. The supplied excerpt does not provide a clear out-of-sample score or establish that the forecasts produce profitable trades, so the modeling workflow should not be read as proof of a market-beating strategy.

Key ideas

• Prophet represents a series using trend, seasonal patterns, and optional holiday effects.
• The EURUSD example forecasts hourly high-to-low range rather than the exchange rate itself.
• Datetime values and a single target series are prepared for model fitting and prediction.
• Calendar features are examined to explore possible hourly and weekly volatility patterns.
• Forecasting workflow alone does not establish predictive accuracy or trading profitability.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.