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[MetaMasters] Seasonality

The Seasonality Indicator evaluates the average historical performance of the selected asset by analyzing a user-defined number of past years (for example, the last 10).
You can adjust the number of years included in the calculation directly from the settings panel.
Using this historical window, the indicator generates an average seasonal curve that reflects how the market has typically behaved throughout each part of the year. This curve serves as a forward-looking guide, highlighting periods in which the market has historically shown consistent tendencies.
Traders can use this seasonal projection to pinpoint time periods with a higher statistical likelihood of upward or downward movement.
The indicator is especially effective when paired with the Seasonality Analysis Tool, which helps identify specific historical windows and further strengthens seasonal decision-making.
This indicator is designed exclusively for the daily timeframe, as all calculations rely on daily candle data. Other timeframes will not produce accurate seasonal structures.
Overall, the Seasonality Indicator offers a clear, data-driven view of recurring annual patterns, helping traders understand when historical tendencies may influence future price action.
You can adjust the number of years included in the calculation directly from the settings panel.
Using this historical window, the indicator generates an average seasonal curve that reflects how the market has typically behaved throughout each part of the year. This curve serves as a forward-looking guide, highlighting periods in which the market has historically shown consistent tendencies.
Traders can use this seasonal projection to pinpoint time periods with a higher statistical likelihood of upward or downward movement.
The indicator is especially effective when paired with the Seasonality Analysis Tool, which helps identify specific historical windows and further strengthens seasonal decision-making.
This indicator is designed exclusively for the daily timeframe, as all calculations rely on daily candle data. Other timeframes will not produce accurate seasonal structures.
Overall, the Seasonality Indicator offers a clear, data-driven view of recurring annual patterns, helping traders understand when historical tendencies may influence future price action.
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