Using Historical Seasonality to Evaluate Forex and Commodity Spreads
Summary
The article explains how to use a MetaTrader indicator to compare seasonal price behavior for individual instruments and weighted spreads. It defines a spread as the difference between two instruments’ opening prices, with configurable multipliers, and recommends examining daily data across roughly 10 to 15 years. Repeated direction and similar monthly returns across years are presented as signs of a potentially stable seasonal pattern.
Examples cover currency pairs, precious metals, equity indexes, and oil spreads. The article suggests interpreting the current month’s path against historical averages, then checking signals with other filters or trading methods. It proposes treating only patterns with a positive-outcome probability above 70% as candidates, but the examples do not provide a systematic out-of-sample performance assessment. Seasonality can fail in a given year, so the historical pattern is a guide rather than a guarantee; diversification and risk management remain relevant.
Key ideas
- A weighted spread can be analyzed by comparing its monthly history with seasonal averages.
- The method uses daily observations across about 10 to 15 years to assess recurring monthly behavior.
- Consistent direction and returns across years are treated as evidence of stronger seasonality.
- Seasonal signals can be combined with technical filters or envelope-based entries.
- A historical seasonal pattern may fail in the current year and should not be treated as a forecast guarantee.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.